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What is a pestle analysis a complete pestle analysis guide, what is a pestle analysis.

A PESTLE analysis examines external market factors – including Political, Economic, Social, Technological, Legal, and Environmental – and market trends that might impact your organization’s direction, performance, and position in the marketplace.

Used in tandem with a SWOT analysis, it helps your organization examine external factors that could influence your organization’s opportunities and threats. We get that a PESTLE Analysis is just another acronym that might seem silly, but it is a helpful tool to help you holistically conduct market research and understand what forces your organization currently faces.

In this article, we’ll dig into what is a PESTLE Analysis, what each factor covers, and how to use it as part of your approach to considering internal and external factors for your strategic planning process.

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So why do I need to conduct a PESTLE Analysis?

The last few years have been a whirlwind of change and uncertainty – a global pandemic, natural disasters, looming recession, war, inflation, and more. Organizations have faced a great deal related to external market factors directly impacting their organizations. Current events have been stressful enough for any organization to worry about, whether you’re well-established or new in your market.

While the global situation is intimidating for many current and future leaders, this helpful analysis can help you assess and plan for what might impact your organization – and either seize those forces as opportunities or work to mitigate them as threats. Using a PESTLE allows you to look ahead at challenges your organization may encounter and create strategies to address them.

Pro Tip: We covered using this tool a few years back during the start of the COVID pandemic. This article has some helpful tips on using this analysis to examine market megatrends.

PESTLE Definition and Framework – How to Use this Tool

[also known as the pestel framework, pestle model, or pest framework].

As we mentioned earlier, this analysis looks at the external Political, Environmental, Social, Technological, Legal, and Environmental factors that would influence your organization’s strengths and weaknesses. A PESTLE Analysis is best used in tandem with your SWOT Analysis . As demonstrated below, this framework looks at the macro-trends in your operating environment.

This framework has evolved over the years from a PEST Analysis to a PESTEL Analysis, which adds other market considerations and long-term impact.

As you complete your planning process, this looks at the external analysis portion of your environmental scan – also known as what is happening in your market.

Pro Tip: A PESTLE Analysis looks at external market forces, so they will not influence your organization’s internal strengths or weaknesses . Strengths and weaknesses come from traits or characteristics your organization already processes. A PESTLE Analysis framework only examines the external market.

What are Political factors?

Political factors are those brought on by the government or politics. These are the external political forces affecting your organization, including governmental policies, government leadership, foreign trade and foreign relations, political issues and trends, tax policy, regulations, and de-regulation trends.

A few examples might include the influx of capital from the Paycheck Protection Plan, the change in tariffs on imports from China, and the war and conflict from Russia’s invasion of Ukraine.

Questions to ask:

• What shifts have occurred in the political climate?
• How might those shifts impact our organization? Are they headwinds, or tailwinds?
• Are they short- or long-term plays?
• What are the political threats you should monitor?

What are Economic factors?

The economic factors look at the external forces that can impact the economy your organization operates in. Examples include rising inflation rates, changes and shifts in consumer spending, changes in the supply chain, demand curves, and the health of the global economy.

These economic factors can look at the local economy, national economy, and global economy.

• What is the current health of the economy? How might that impact our organization?
• How will things like labor costs, interest rates, and economic growth rates impact our organization?
• What economic information should we look at or consider?
• Are there headwinds or tailwinds in our supply chain?
• What local economic factor might impact our business?

What are Sociological factors?

Sociological factors (social factors) consider the changes in the greater social environment, such as social justice movements or other social trends like changing opinions on your product or shifting populations and demographics. It’s essential to consider sociological trends that are at play—not just in your organization’s immediate environment—but also in the broader environment that your customers are coming from.

• Are there changing trends in our market’s demographics or population? How best do we serve them?
• How are changing social factors going to impact our organization?
• What shifts can be observed in consumer behavior, sentiment, or opinion?

What are Technological factors?

Changes in technology impact a business’s positioning. Some recent examples are the rise of cryptocurrency (which can also fall into the economic category), the emergence of popular work-from-home technology, AI technology, the increased use of artificial intelligence, and even concerns over cyber security or other technological issues. It is important to consider how technology can prove to be both an opportunity for your organization, or a threat to it.

• How has the technology in our market changed? Is that an opportunity or threat?
• Are you using available technology to its full advantage?
• How much does emerging technology impact your organization?

What are Legal factors?

While similar to the political aspects, the legal elements look at the practical application of the political forces into rules and regulations that may affect your business or customers. These are the laws and regulations that impact your organization.

This could include updated laws, new regulations, or abolishing laws. Depending on your business, local, state, and federal laws and regulations are worth scrutinizing.

• What changes in our international, national, and local legislation impact our organization?
• What government policies do we need to consider?
• What is our regulatory environment like?
• What does the political stability of our environment look like?
• How are these legal changes going to impact our organization positively or negatively?
• What legal forces may be on the horizon?

What are Environmental factors?

Environmental factors are affected by weather, geography, climate change, and health crises. Environmental regulations, including laws and policies related to pollution, waste management, and conservation, play a significant role in shaping these factors. In addition to the public health crisis caused by the COVID pandemic, the world has also been impacted by wildfires across the globe.

Environmental regulations are a critical component, impacting geographical locations, natural resources, and sustainability efforts.

Organizations should consider the short-term and long-term impacts of these accelerating changes, e.g., rising ocean levels, drier and warmer seasons, and yearly weather conditions such as hurricanes and typhoons.

• What environmental factors are impacting us right now?
• What is the environmental impact of industry like? What is the impact on our natural resources?
• What environmental factors might impact us in the future?
• What environmental factors do we need to monitor?

Bonus – What are Ethical factors?

Over the last few years, business and marketing strategy experts have added a third ‘E’ to the PESTLE – the ethical factor. This can include things such as fair-trade practices, child labor issues, even society’s increasing demand for conscious business models, and corporate social responsibility.

• What external factors are your business ethics?
• What changes to your business or suppliers might you consider as key factors to your ethics? IE – fair trade suppliers?
• What kind of impact or example do you hope your company may set?

Advantages and Disadvantages of a PESTLE Analysis

What are the advantages of using a pestle analysis.

There are several advantages to conducting this analysis for your business. Here’s a breakdown:

• It is a simple and straightforward framework that is easy to implement into your strategic plan.
• It also allows you and your team to facilitate a great understanding of the wider business environment and how current events can potentially affect your business.
• Additionally, it helps organizations anticipate business threats and figure out how to mitigate the risks. Plus, it helps organizations spot business opportunities on which they can capitalize.

What are the disadvantages of using a PESTLE Analysis?

While it’s a great tool, here are a few of the disadvantages to using this:

• This assessment can be as light or as heavy as one wants to make it.
• It is easy to oversimplify the data or collect insufficient data.
• It is also easy to make it too heavy by collecting too much data and becoming so overwhelmed that you don’t know where to start. This is a phenomenon called ‘analysis paralysis.’
• It’s a great tool, but it doesn’t analyze your organization’s internal strengths and weaknesses. That’s why we recommend using it in conjunction with your SWOT Analysis.

Best Practices – When and How to Use this Assessment:

You should conduct your PESTLE Analysis in the pre-planning stages of your business or strategic plan with a SWOT Analysis. A SWOT looks at your organization’s internal strengths and weaknesses and the external opportunities and threats the market presents. This will be an excellent companion piece to your SWOT as it informs your SWOT by looking at all aspects of the external market environment.

So, when conducting your analysis, break down each factor and look at both the positive aspects you can leverage (the opportunities) and the pitfalls to avoid (the threats) within the political, economic, social, technological, legal, and environmental spheres. If you want to see some real world examples, check out our PESTLE Analysis Examples .

While this exercise is typically conducted in the beginning stages of a strategic plan, it is best to set a regular cycle to check in and revisit it. With the speed at which things are constantly shifting and changing, the analysis you conducted five years ago may need to be revised today. It is best to update it at a minimum every three years. Or, when you update your SWOT. It can be helpful to look at these trends annually, too. Make it a habit to keep a pulse on current events and market changes, so you always know what is going on in your market and how it will affect your organization.

Conclusion: Where does PESTLE Analysis fit into strategic planning?

Leveraging your PESTLE Analysis as the first step to your business and strategic planning process is the ultimate way to ensure that you know all the areas your business can capitalize on and which pitfalls you can work on to mitigate. This will help you get the complete picture of where your organization is playing and just what you need to ensure that you will win.

PESTLE Analysis FAQs

A PESTLE Analysis examines external market factors – including Political, Economic, Social, Technological, Legal, and Environmental – and market trends that might impact your organization’s direction, performance, and position in the marketplace. Used in tandem with a SWOT Analysis, it helps your organization examine external factors that could influence your organization’s opportunities and threats .

It also allows you and your team to facilitate a great understanding of the wider business environment and how current events can potentially affect your business. Additionally, it helps organizations anticipate business threat. figure out how to mitigate risks, and help organizations spot business opportunities to capitalize upon.

One of the disadvantages of a PESTLE Analysis is that it can be as light or as heavy as one wants to make it. It is easy to oversimplify the data or collect insufficient data. While it’s a great tool, but it doesn’t analyze your organization’s internal strengths and weaknesses. That’s why we recommend using it in conjunction with your SWOT Analysis.

This helpful analysis can help you assess and plan for what might impact your organization – and either seize those forces as opportunities or work to mitigate them as threats. Using a PESTLE allows you to look ahead at challenges your organization may encounter and create strategies to address them.

PESTLE Analysis is typically conducted in the beginning stages your strategic planning process to help evaluate your organization’s macro-market. It is best when used in tandem with your SWOT Analysis to examine the current state of your organization.

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Amazon PESTLE Analysis: An Overview for E-commerce Giant

• Updated on December 16, 2023

PESTLE analysis is one of the best known strategic business analysis tools. This article is a PESTLE case study , where we’ll go through the Amazon PESTLE analysis to see how this Political, Economic, Sociological, Technological, Legal and Environmental analysis of the e-commerce giant.

A PESTLE analysis is a framework that lets you understand the external environment surrounding your business. This wider realization of business strategies and their impacts can help your business to correct past mistakes and make the accurate decisions in the future. The effect of a (or multiple) PESTLE analysis (or analyses) can be a “wide opener event” for your company.

Due to the fact that you will be categorizing, researching and analyzing various types of external factors affecting your business, the analysis itself will require time, attention and effort. You are going to go through possible threats and opportunities facing your business.

These threats can help you realize to take immediate action and eliminate them. On the other hand, realizing untouched and unexploited opportunities can open new doors for you and your business. While you can minimize any threat’s impact, you can also maximize the impact of business opportunities whether they are financial, organizational or even social.

Useful PESTLE Tools

The exact categories of a PESTLE analysis are Political, Economic, Social (or Sociocultural), Technological, Legal and Environmental (or Ecological). If you are an owner of a business, a potential future CEO or a start up founder, you can conduct your own PESTLE analysis for your business as well!

The best and easiest way to do it is to list the factors in a spreadsheet in Microsoft Excel. Here, you can find an Excel template that provides you a simple yet professional looking design in order to conduct your own analysis. And it is completely free to use, download it now!

– This image is from Someka’s PESTLE Analysis Excel Template –

Perhaps, you are wondering how to start a PESTLE analysis. Here is a blog post all about it! The history of the concept, the different versions of the acronyms and their changing outcomes, how a PESTLE analysis can advance your business into the next stage, the pros and cons of the analysis, the comparison between a SWOT analysis and a PESTLE analysis and also a PESTLE analysis example of one of the biggest companies in the world are all in the blog post!

There is also an instruction section for you to start and conduct your analysis in seven easy steps. So, you can download the template and whilst reading the blog post, you can create your own PESTLE analysis step by step.

Similar “Threats” and “Opportunities”

If the PESTLE concept seems familiar with all the terms such as “threats” and “opportunities”, you are correct. A SWOT analysis lists the strengths, weaknesses, opportunities and threats of a company without categorizing them. It is a very general ‘all in’ analysis for someone to read and get a general idea of a company.

A PESTLE analysis can be more detailed and actually direct and specific on the factors that it depicts because they are categorized accordingly. Below, you can find the PESTLE analysis of the biggest ecommerce company in the world: Amazon.

Amazon PESTLE Analysis

Amazon.com , Inc. (or shortly Amazon) was founded by Jeff Bezos in Bellevue, Washington on July 5 th , 1994. The company started as an online marketplace for only books . However, as it grew, it expanded into selling electronics , furniture , jewellery and just about everything .

Let’s discover Amazon Pestle Analysis now!

Political (External) Factors

Being the biggest ecommerce company in the whole wide world forces Amazon to keep good and healthy relations with different countries. This means Amazon has to comply and obey the ‘suggestions’ or much more strict regulations of various governments. But that does not mean Amazon does not have dependent stability in and with some of the biggest countries and biggest Amazon buyers.

For example:

Amazon is a big force in the United States and that is an incredible opportunity which not many companies have in their hands.

Even though Donald Trump has benefited Amazon Inc. by cutting its taxes and helping the company to pay an incredible $0 in federal taxes in 2019, their relationship has not been perfect.

Trump does not like (at least he did not like when he was the President) American companies operating and manufacturing their products overseas. He focused on trade protectionism and put new regulations in order to keep ‘American jobs’ in the United States. Amazon’s operations, foreign imports and the number of tariffs was threatened by the administration. Good news for Amazon, Trump’s term as the

President has ended. Bad news for Amazon, Joe Biden won the Presidency.

Biden’s Labor Agenda

A company such as Amazon which pushes against its warehouse workers’ wishes to form unions can clash with the new President who promises to be “the most pro-union President” ever. Biden proposed various reforms regarding workplace conditions advancements and broaden the worker protections. He has policies planned to give more power and authority to workers in his new labor agenda.

Amazon has also its concerns over Biden’s determination on antitrust issues, breaking up monopolies and properly taxing the big tech companies. It is said that the Biden administration will be tougher on these issues than the previous two administrations (in which Biden was the Vice President in Obama’s term).

In fact, Amazon entered the Chinese retail market quickly. It was the most popular ecommerce company in the country. And then, services such as Alibaba’s Taobao and JD.com became popular and took the reins.

Additionally, Amazon has to compete with the giants as well as other local and smaller companies such as Pinduoduo and VIP.com. Amazon has a tough competition in China and it has struggled quite a bit.

So much that Amazon has actually shut down its marketplace in China . Its (Chinese) website can be accessed; however, all the products listed are imported from other countries overseas that still have a functioning marketplace for Amazon. That means China does not technically have Amazon, it only has deliveries from Amazon.

Economic Factors in Amazon Pestle Analysis

If your country’s economy flourishes, then everyone can make more money. An increase in salaries, wages, pensions and incom e can also increase the level of ‘disposable income’ for every household. Amazon can invest more in production, warehouses, storage and distribution systems in these developed markets such as the United States and majority of the European countries because they can and will steadily continue to buy.

You can buy the latest iPhone from Amazon’s website . Also, you can buy a weekly subscription of toilet papers delivered right to your house. And, you can even buy jewelry priced for hundreds of thousands of dollars as well. That is what makes Amazon, Amazon.

Continue to grow?

Amazon can still advance its techniques, operations and systems in developing markets. There is an enormous potential regarding financial gain for Amazon in some of the countries in Europe, Asia and Africa which do not have Amazon as their most popular ecommerce company. Amazon has conquered the United States as the ‘leader in online retail’ but there are a lot of countries in which Amazon is not placed as the most used ecommerce website among customers and citizens.

New tax laws can diminish Amazon’s profit significantly, if the new tax regulations are forced on Amazon. Warren’s taxation plan for Amazon was to introduce a 7% corporate tax which could create 698 million dollars. Even though Warren did not take the office, it is reported that Warren still gets in touch with Biden regarding a number of issues.

Social (or Sociocultural) Factors

The number of people who are buying products online are gradually increasing = An opportunity

The easier it gets for everyone to shop online, the more people are going to do it. It is an inevitable feature of the world wide web that so often gets people addicted to it. In addition to that, every new generation who gets their own smartphones or smart devices buy products online. And the most popular platform to buy your product from is Amazon.

Covid and Amazon

The pandemic caused an incredible number of stores, shops and companies to close down around the world. COVID-19 has done a lot of financial damage to local shops, average size companies and even some large corporations. But not Amazon! The pandemic actually helped Amazon immensely: Their quarterly profits doubled, its net sales has risen by 40% and Jeff Bezos became the first person to have a net worth to surpass $200 billion .

The vaccines have been created and the vaccination processes have started in various countries. However, it is not quite possible (for now) to figure out when everything will go to the ‘old normal’. That is why there are new lockdowns happening around the world (especially in Europe), quarantines do still continue and there are curfews in place in some of the countries.

And Amazon takes advantage of this situation (knowingly or unknowingly) due to the fact that it can deliver whatever you want right to your house and to your front door. This is an important factor in Amazon’s Pestle analysis .

The world stopped when the pandemic hit. Almost every institution had to close down temporarily or permanently and some of them were forced to lay off a quite amount of their employees. However, Amazon actually hired more employees . The company employed 427,300 more people between January 2020 and October 2020. Globally the number of its employees reached more than 1.2 million people.

Technological Factors

Amazon has an amazing and unique system of keeping track each of the production, distribution and delivery processes. Other than the technology it uses in its factories, Amazon is also developing and using new transportation technologies in regard to its delivery system. This means that you can see drones delivering your products right to your front door pretty soon.

So, Amazon is trying to figure out a faster way of delivery; an unmanned transportation system and a new age in technology. This can, without a doubt, change the delivery system of products. However, at the same time, it can also hurt one of the areas Amazon takes pride in.

As it was mentioned as one of the opportunities in the social factors, Amazon employs a lot of people. And it continues to hire more and more people. Changing the whole delivery system to drones can surely be the more profitable solution for Amazon. But on the other hand, it also eliminates employees.

Drone Delivery?

It is uncertain that Amazon can maintain the drone delivery system for a certain amount of time, so Amazon drivers are not going anywhere soon. But that ‘soon’ can be earlier than some of the people have thought. And even if Amazon gets rid of some of the delivery drivers, there can be protests and a lot of bad publicity in regard to the new air delivery system of Amazon.

A leak of Amazon user details can be a huge gift to cyber criminals to take control of the accounts of users. These hackers can go through all of the information a user stores in his or her account: Bank details, credit card numbers, phone numbers, detailed addresses, etc.

The other problem is phishing scams. An email sent to an unknowing user (seemingly by Amazon) informs them about the ‘opportunity to change their passwords’. The email details that their information has been leaked and their passwords have been compromised, so they need to change it.

And, in the Amazon PESTLE analysis perspective , they need to change it now. Then, an ‘Amazon customer service employee’ calls them in order to help them through the password change process. The user downloads and shares their screen with the customer service employee. So, what is the problem in this situation?

Unfortunately, the email did not come from an official Amazon email address. Also, the ‘Amazon employee’ does not work for Amazon. This is called a phishing scam. When the user gets into his or her Amazon account, the ‘customer service employee’ can look and note every detail. And (as it is not enough) they additionally charge them for the customer service they have provided.

Legal Factors

European Union formed the General Data Protection Regulation (GDPR) and in May 2018 it put an important regulation for companies operating in the countries in the European Union. It gave customers the right to demand a copy of all of their personal data from the websites they have created an account in.

This regulation also states that the data should be easy to understand for the user. The big tech companies such as Apple, Spotify, Google, YouTube and Amazon all changed their rules and complied with the new regulation. They made the user’s personal information available but there were some criticisms from the privacy campaign group “noyb” . They said that some of the data provided by the companies were “intelligible” and some of the data were not understood by the users.

Privacy issues?

Privacy issues have been on the news and caused an incredible amount of bad publicity to the ‘big tech’ companies. Perhaps the one company which took the most damage on the new privacy regulations and lawsuits was Facebook. But Amazon did not escape criticisms, lawsuits and

European Commission brought charges to Amazon as t he Commission claims the company violated European Union’s competition law . Even though Amazon denied the accusations, the Commission accused the company of using nonpublic data to give unfair advantage to big third party sellers rather than smaller ones.

These allegations, charges and lawsuits are not only happening in Europe. The United States Congress and the Federal Trade Commission also opened up investigations on Amazon’s treatment on third party sellers. After a 16 month investigation and deliberation period, the antitrust subcommittee concluded that Amazon is a monopoly force over the third party sellers present on its website.

And even though the European Union did not file legal charges for the company; the claims, the allegations and the charges brought still made the news and were covered by the reputable news outlets. That can harm a company’s image and brand, especially one of the big tech companies that had its issues with privacy and security in the past.

Environmental (Ecological) Factors

The good actions against climate change.

Amazon actually invests a lot of money into environmental and ecological programs and platforms that strive to reduce waste, diminish energy consumption and take on ecological challenges. Jeff Bezos himself donated 10 billion dollars to scientists, activists and nongovernmental organizations (NGOs) which focus their efforts to fight climate change.

These kinds of actions the company (and its founder) takes increases its popularity and the value of their brand as it supports a ‘low carbon lifestyle’. These energy saving policies also puts an emphasis on the business stability and the general sustainability of the company.

The ‘Not So Good’ Actions

These are all great efforts to fight the dangerous consequences; however, Amazon itself (its warehouses around the world, offices, vehicles, storages) emits so much carbon dioxide that it makes its efforts for climate change seem irrelevant. According to the report Amazon detailed, in 2018 the company emitted 44.4 million metric tons of carbon dioxide . That is almost equal to annual emissions of Norway.

Even though Jeff Bezos donates an incredibly large amount of money to a good cause, if the company hinders its efforts to do good to the environment, then all the donations and efforts mean nothing. The company tries to escape its responsibilities by throwing money to it. And, unfortunately, ecological issues such as climate change cannot be easily fixed only with money.

On top of that, one of Amazon’s most useful and utilized feature is Amazon Prime. The Prime subscription promises its customers a two day delivery. Therefore, its more than 100 million prime members receive their products that they ordered in a day or two. This increases the carbon emissions significantly.

FINAL WORDS FOR AMAZON PESTLE ANALYSIS

As you can see a PESTLE analysis can tell a lot of details and touch a lot of important areas of a company. Whether it is a huge company such as Amazon or your newly founded start up, a comprehensive, well researched and an accurate PESTLE analysis can be the thing your company needs. It can bring out past mishaps, controversies and mistakes to take notes on as well as future opportunities to be exploited and possible threats to carefully consider.

If you’re going to make a PESTLE analysis for your company, our PESTLE spreadsheets will help you.

You can instantly download:

• PESTLE Analysis Template – Excel Version
• PESTLE Analysis – Google Sheets Version

These templates have lots of benefits:

• Ready-to-use
• Editable and printable
• No installation needed
• Includes reference and guiding
• Sleek design
• Ready for presentations

Recommended Readings:

How to conduct PESTLE Analysis?

Amazon Swot Analysis

Walmart SWOT Analysis

Related Posts

PESTEL Analysis Framework: Explained with Examples

A PESTEL analysis is a strategic management framework used to examine the external macro-environmental factors that can impact an organization or industry. The acronym PESTEL stands for:

Political factors:

Political factors in a PESTEL analysis refer to the impact of government policies, regulations, and political dynamics on an organization or industry. These factors can create both opportunities and challenges for businesses, depending on the specific political context in which they operate. Some examples of political factors include:

• Government stability : The stability of a government can have a significant impact on the business environment. A stable political climate can promote economic growth and investment, while political instability or uncertainty can result in economic downturns and create business challenges.
• Tax policies : Changes in tax policies, such as corporate tax rates, value-added taxes, or tax incentives, can affect the profitability of organizations and influence their investment decisions.
• Trade policies and regulations : Government policies related to international trade, such as import/export restrictions, tariffs, and quotas, can impact businesses that rely on global supply chains or serve international markets. These policies can influence the cost of goods, competitiveness, and market access.
• Labor laws : Regulations governing labor and employment, such as minimum wage requirements, working conditions, and worker rights, can impact an organization’s workforce management and operational costs.
• Industry-specific regulations : Governments may introduce or modify regulations specific to certain industries, such as environmental regulations for the energy sector or data privacy regulations for the technology sector. These changes can create opportunities or challenges for businesses within the affected industry.
• Political relations between countries : Diplomatic relations and geopolitical tensions between countries can impact international trade, investment, and collaboration. For example, a trade war or diplomatic conflict between two countries may disrupt supply chains or reduce market access for businesses operating in those countries.
• Government involvement in the economy : The degree to which a government intervenes can influence businesses. For example, some governments may adopt protectionist policies to support domestic industries, while others may pursue more liberal economic policies that promote competition and globalization.

Understanding and monitoring political factors are essential for businesses to anticipate potential changes in the operating environment, adapt to new regulations, and capitalize on opportunities arising from favorable political conditions.

Economic factors: 

Economic factors in a PESTEL analysis refer to the various aspects of the economy that can impact an organization or industry. These factors can influence a company’s operations, profitability, and growth potential. Some examples of economic factors include:

• Economic growth : The overall growth of the economy, measured by indicators such as GDP, can impact the demand for products and services. A growing economy generally leads to increased consumer spending, while an economic downturn may result in reduced demand.
• Interest rates : Central banks set interest rates, which influence the cost of borrowing for consumers and businesses. Higher interest rates can lead to reduced consumer spending and business investment, while lower interest rates may stimulate economic activity.
• Inflation : Inflation represents the rate at which prices for goods and services increase over time. High inflation can erode purchasing power and negatively impact consumer spending, while low or stable inflation may encourage spending and investment.
• Exchange rates : Fluctuations in currency exchange rates can impact businesses that operate in international markets or rely on global supply chains. Changes in exchange rates can affect the cost of imported goods, competitiveness in export markets, and overall profitability.
• Unemployment levels : The unemployment rate can influence consumer confidence, spending habits, and the availability of skilled labor for businesses. High unemployment may result in lower consumer spending, while low unemployment can lead to increased demand for products and services and potential wage inflation.
• Income distribution : Income distribution within a population can impact consumer spending patterns and preferences. A high level of income inequality may result in a smaller middle class with less disposable income. In contrast, more equitable income distribution can increase consumer spending and demand for a broader range of products and services.
• Government fiscal and monetary policies : Governments use fiscal policies (taxation and spending) and monetary policies (interest rates and money supply) to manage economic growth, inflation, and unemployment. These policies can directly impact businesses by influencing consumer spending, investment, and overall economic conditions.

By understanding and monitoring economic factors, businesses can identify trends, anticipate changes in the economic environment, and adapt their strategies accordingly. This can help organizations to mitigate risks, capitalize on opportunities, and maintain a competitive advantage in the marketplace.

Sociocultural factors:

Sociocultural factors in a PESTEL analysis refer to the social and cultural aspects that influence consumer behavior, preferences, and market trends. These factors are crucial in shaping the demand for products and services and determining how businesses interact with customers and communities. Some examples of sociocultural factors include:

• Demographics : The population’s age distribution, growth rate, and other demographic characteristics can affect consumer preferences and spending habits. For example, an aging population may increase the demand for healthcare and retirement services, while a younger population might drive the demand for digital technology and entertainment.
• Cultural values and beliefs : A society’s values, beliefs, and traditions can influence consumer preferences and attitudes toward products and services. For example, a culture that values environmental sustainability might drive demand for eco-friendly products, while a culture that prioritizes convenience may favor fast food and delivery services.
• Lifestyle trends : Changes in lifestyle trends can impact the types of products and services that consumers demand. For example, the rise of health and wellness trends may lead to increased demand for organic food and fitness products, while the growth of remote work and telecommuting can drive demand for home office equipment and software.
• Consumer attitudes and preferences : The attitudes and preferences of consumers can change over time, influenced by factors such as social movements, generational differences, and exposure to new ideas and experiences. Businesses must be aware of these shifts to adapt their products and marketing strategies accordingly.
• Education levels : The level of education in a population can impact consumer preferences and the types of products and services in demand. Higher education levels may result in more discerning consumers seeking high-quality, sophisticated products and services.
• Social mobility : Social mobility, or the ability of individuals to move between different socio-economic levels, can impact consumer behavior and preferences. Greater social mobility can increase consumer aspirations and demand for luxury or aspirational products and services.
• Media and social networks : The prevalence and influence of media and social networks can shape public opinion, consumer preferences, and market trends. Social media platforms, for example, can amplify trends, facilitate the spread of information, and influence consumer behavior.

By understanding and monitoring sociocultural factors, businesses can better anticipate changes in consumer preferences and adapt their products, services, and marketing strategies to stay relevant and competitive in the market.

Technological factors:

Technological factors in a PESTEL analysis refer to the impact of technological advancements, innovations, and trends on an organization or industry. These factors can create opportunities for growth and competitive advantage, as well as challenges and disruptions for businesses that fail to adapt. Some examples of technological factors include:

• Technological advancements : The development of new technologies can lead to new products, services, or more efficient production methods. Companies must stay up-to-date with the latest technological advancements to remain competitive and capitalize on new opportunities.
• Rate of technological change : The speed at which technology evolves can impact how quickly businesses need to adapt and innovate. Industries with rapid technological change, such as consumer electronics or software development, require companies to continuously invest in research and development (R&D) to stay ahead of the competition.
• Automation and artificial intelligence (AI) : The increasing use of automation and AI can improve efficiency, reduced labor costs, and the ability to perform complex tasks. However, automation can also disrupt industries by displacing human labor, potentially leading to job losses or skill gaps.
• Digital transformation : The adoption of digital technologies, such as cloud computing, big data analytics, and the Internet of Things (IoT), can enable businesses to improve their processes, customer experiences, and decision-making. Companies that successfully embrace digital transformation can gain a competitive edge over those that do not.
• Cybersecurity : As technology becomes more integrated into businesses, the importance of cybersecurity and protecting sensitive data from cyber threats increases. Companies must invest in robust cybersecurity measures to safeguard their operations and customer information.
• E-commerce and online platforms : The growth of e-commerce and online platforms has revolutionized how businesses interact with customers and conduct transactions. Companies need to adapt to the changing landscape by offering online sales channels, optimizing their websites for mobile devices, and leveraging social media for marketing and customer engagement.
• Communication technologies : Advancements in communication technologies, such as 5G networks and video conferencing tools, can impact how businesses communicate with customers, suppliers, and employees. These technologies can enable faster and more efficient communication, collaboration, and remote work.

By understanding and monitoring technological factors, businesses can identify new opportunities for innovation, improve efficiency, and adapt to the changing competitive landscape. Staying up-to-date with technological trends is crucial for organizations to maintain a competitive edge, differentiate themselves in the market, and meet evolving customer needs.

Environmental factors:

Environmental factors in a PESTEL analysis refer to the ecological and environmental aspects that can impact an organization or industry. These factors can create opportunities and challenges for businesses as they must adapt to changing environmental conditions, comply with regulations, and consider the growing importance of sustainability. Some examples of environmental factors include:

• Climate change : The impacts of climate change, such as rising temperatures, more frequent and severe weather events, and shifting precipitation patterns, can affect various industries, from agriculture and tourism to infrastructure and insurance. Companies need to assess the risks associated with climate change, develop strategies to mitigate those risks, and adapt to new environmental conditions.
• Natural disasters : Earthquakes, hurricanes, floods, and other natural disasters can have significant impacts on businesses, disrupting supply chains, damaging infrastructure, and affecting the availability of resources. Companies must assess their vulnerability to natural disasters and implement contingency plans to minimize potential disruptions.
• Resource scarcity : The availability and cost of natural resources, such as water, raw materials, and energy, can impact businesses that rely on these resources for their operations. Resource scarcity can lead to increased costs, supply chain disruptions, and the need to find alternative materials or more efficient production methods.
• Pollution and waste management : Companies must comply with environmental regulations related to pollution control and waste management, which can affect their operational costs and public reputation. Businesses investing in environmentally friendly practices and technologies can reduce costs, minimize regulatory risks, and enhance their brand image.
• Sustainability and corporate social responsibility (CSR) : The growing importance of sustainability and CSR can influence consumer preferences, stakeholder expectations, and regulatory requirements. Companies prioritizing sustainable practices, such as energy efficiency, renewable energy, and ethical sourcing, can gain a competitive advantage and appeal to environmentally conscious customers and investors.
• Environmental regulations and policies : Governments may introduce or modify environmental regulations, such as emissions standards, energy efficiency requirements, and conservation policies. These changes can create opportunities or challenges for businesses, depending on their ability to adapt and comply with new regulations.

By understanding and monitoring environmental factors, businesses can better anticipate changes in the ecological landscape, adapt their operations and strategies accordingly, and capitalize on sustainability and environmental stewardship opportunities. This can help organizations maintain a competitive advantage, enhance their brand image, and contribute to a more sustainable future.

Legal factors:

Legal factors in a PESTEL analysis refer to the various laws, regulations, and legal requirements that can impact an organization or industry. These factors can create opportunities and challenges for businesses, as they must ensure compliance and adapt to changes in the legal environment. Some examples of legal aspects include:

• Employment and labor laws : Regulations governing labor and employment, such as minimum wage requirements, working conditions, worker rights, and anti-discrimination laws, can impact an organization’s workforce management and operational costs. Companies must ensure compliance with these laws to avoid legal penalties, maintain employee satisfaction, and protect their reputation.
• Health and safety regulations : Businesses must adhere to health and safety regulations to ensure the well-being of their employees, customers, and the general public. These regulations can cover aspects such as workplace safety, product safety, and food hygiene. Non-compliance can lead to legal penalties, reputational damage, and potential harm to stakeholders.
• Intellectual property (IP) laws : IP laws, such as patents, trademarks, copyrights, and trade secrets, protect the rights of creators and innovators. Companies need to be aware of these laws to protect their IP and avoid infringing on the rights of others. Failure to comply with IP laws can result in legal disputes, financial penalties, and loss of competitive advantage.
• Consumer protection laws : Regulations that protect consumers from unfair business practices, such as false advertising, deceptive pricing, and poor product quality, can impact businesses regarding marketing strategies, product development, and customer relations. Compliance with consumer protection laws is essential to maintain customer trust and avoid legal repercussions.
• Environmental regulations : Companies must adhere to environmental laws and regulations related to pollution control, waste management, and resource conservation. Compliance with these regulations can impact operational costs, while non-compliance can result in legal penalties, reputational damage, and potential harm to the environment.
• Antitrust and competition laws : These laws aim to promote fair competition in the marketplace by preventing anti-competitive practices such as price-fixing, market manipulation, and monopolies. Companies must know these laws to ensure they operate within legal boundaries and maintain a competitive and fair market environment.
• Tax laws and regulations : Businesses must comply with various tax laws and regulations, such as corporate taxes, value-added taxes (VAT), and sales taxes. Changes in tax policies can impact a company’s profitability and financial planning.

By understanding and monitoring legal factors, businesses can ensure compliance with applicable laws and regulations, minimize legal risks, and adapt their strategies to changes in the legal environment. Staying up-to-date with legal factors is essential for organizations to maintain a strong reputation, avoid legal penalties, and operate ethically and responsibly within their industry.

Examples of PESTEL Analysis Framework

Here are two examples of PESTEL analyses for different industries:

Automobile Industry:

• Government policies on emissions and fuel efficiency standards
• Tax incentives for electric vehicles
• International trade agreements and tariffs
• Economic Growth and consumer spending patterns
• Fluctuations in oil prices and their impact on fuel costs
• Interest rates affecting financing options for vehicle purchases

Sociocultural:

• Consumer preferences for eco-friendly vehicles
• Urbanization and changing transportation needs
• Shifting Demographics and their impact on car ownership trends

Technological:

• Advancements in electric vehicle technology and battery efficiency
• Autonomous driving technology
• Integration of connectivity and infotainment systems

Environmental:

• Increasing concerns about air pollution and climate change
• Regulations on vehicle emissions and waste disposal
• Development of renewable energy sources for electric vehicles
• Safety regulations and standards for vehicles
• Intellectual property rights related to automotive technology
• Employment and labor laws affecting the industry

Fast Food Industry:

• Government policies on food safety and health regulations
• Taxation on unhealthy food items (e.g., sugar taxes)
• International trade policies affecting supply chain management
• Disposable income levels and consumer spending habits
• Inflation and its impact on food prices
• Economic growth affecting the demand for fast food
• Changing consumer preferences toward healthier food options
• Cultural attitudes toward fast food consumption
• Demographics and their impact on food preferences (e.g., millennials’ preference for diverse and customizable options)
• Advancements in food processing and packaging technology
• Online ordering systems and food delivery apps
• Integration of digital payment systems
• Increasing awareness of environmental sustainability and ethical sourcing
• Waste management and recycling initiatives
• Impact of climate change on Agriculture and food production
• Food safety regulations and standards
• Labeling and nutritional information requirements

These examples demonstrate how a PESTEL analysis can help organizations in different industries to identify external factors that may impact their business and inform their strategic decision-making.

Check out the PESTEL Analysis of Global Businesses

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PESTEL Framework: The 6 Factors of PESTEL Analysis

The PESTEL framework (political, economic, social, technological, environmental, legal) helps managers assess how external factors affect a business.

The PESTEL framework is a strategic planning tool for analyzing an organization's external business environment. By identifying six key external factors that greatly impact business operations and performance, the framework will facilitate an easier and more efficient decision-making process.

What is the PESTEL Framework?

The PESTEL framework, or PESTEL analysis, is a business planning template that identifies and assesses how Political, Economic, Social, Technological, Economic, and Legal factors are affecting an organization or industry.

Depending on the analysis results, businesses can improve their strategic management and planning while responding to forces that are out of their control and gaining a competitive advantage.

PESTEL Framework External Factors

PESTEL factors are often present in other types of similar analyses. Business managers can choose any, based on the nature of the organization and the factors they wish to study. These different frameworks help to identify key factors to acknowledge, understand, and potentially use to their advantage. These include:

• STEP or the more popular PEST analysis that misses the Legal and Environmental factors
• STEEP analysis is based on the PESTEL framework minus the Legal part
• STEEPLE analysis adds the Ethical factors
• STEEPLED analysis includes the same factors plus ethical and demographic factors

What exactly are the categories in the PESTEL framework? Each is unique and offers a broad understanding of factors involving politics, economy, social traits, tech uses, environment, and legalities.

I have discussed some characteristics of these external factors below.

For a more detailed breakdown of these factors, check out this article about external factors in more detail. The article will help you determine which factors are more important to the company's specific strategy. This might serve as preliminary inspiration. However, you will have to dig deeper into the details to make accurate decisions.

Political Factors in PESTEL Framework

Politics plays an important role in business.

This is because there is a balance between systems of control and free markets. As global economics supersedes domestic economies, companies must consider numerous opportunities and threats before expanding into new regions. Political factors may even help determine the location of corporate headquarters.

This category can sometimes combine laws (from the legal group) since the government and their bills are closely linked. In general, you should focus on the political trend the current administration is leaning toward. Is the current government favoring open trade or focusing more on border control? Are they expected to stimulate the economy, or are they looking to improve the health system? Do they care more about corporations or about the workers?

Some of the political factors you need to watch and include in your PESTEL framework are:

• Stability of government and change of leadership
• Government policies
• Trade tariffs
• Tax policies
• Regulations
• Social policies (e.g. social welfare etc.)
• Trade regulations (e.g. the EU & NAFTA)
• Labor regulations
• Political trends

Political factors examples in PESTEL analysis

• Tax Policy : A government may increase corporate taxes, affecting company profits and potentially discouraging foreign investment.
• Trade Regulations : The imposition of tariffs on imported goods can increase production costs for companies relying on foreign raw materials.

You may find a more extensive list of political factors and how they affect businesses here .

Economic Factors in PESTEL Framework

Economic factors are metrics that measure the health of any economic region.

The economic state will change many times during the organization's lifetime. You must compare the current levels of inflation, unemployment, economic growth, and international trade to better carry out your strategic plan.

General economic factors, such as goods, services, monetary value, and currency, will affect any business or product. Indicators like exchange rates, GDP, and inflation are critical to management. They can tell when it is a good time to borrow and help determine how an economy might react to certain changes.

Some examples of economic factors you can take into account in your PESTEL framework are:

• Disposable income of buyers
• Credit accessibility
• Unemployment rates
• Interest rates
• Exchange rates

Economic factors examples in PESTEL analysis

• Interest Rates : Higher interest rates can increase borrowing costs, leading to reduced capital spending by businesses.
• Economic Growth : An uptick in economic growth can boost consumer spending, leading to higher demand for products and services.

You may find a more extensive list of economic factors and how they affect businesses here .

Social Factors in PESTEL Framework

Social factors assess the mentality of individuals or consumers in a given market. These are also known as demographic factors. This category focuses on buying behavior and how consumer needs can affect the value and necessity of a product or service. The following are some social factors to focus on in your PESTEL framework:

• Population demographics: (e.g. aging population)
• Distribution of Wealth
• Changes in lifestyles and trends
• Educational levels
• Cultural differences
• Ethnicities

Social factors examples in PESTEL analysis

• Demographic Shifts : An aging population may increase demand for healthcare services and products tailored to senior citizens.
• Cultural Trends : A growing trend towards sustainability can influence consumer preferences, leading businesses to adopt greener practices.

You may find a more extensive list of social factors and how they affect businesses here .

Technological Factors in PESTEL Framework

This step entails recognizing the potential technologies available. Technological advancements can optimize internal efficiency and prevent a product or service from becoming obsolete. The role of technology in business is increasing each year, and this trend will continue because R&D drives new innovations.

Recognizing evolving technologies to optimize internal efficiency is a great asset in management. But there are a few threats. Disruptive innovations such as Netflix affect DVD players' business. The best strategy is to adapt to the changes. Your strategies should sidestep threats and embrace opportunities.

Technology is continuously evolving — and not just digital technology, although the use of applications, websites, and similar products is on the rise. But even technology related to manufacturing, distributing, or communicating with consumers/employees must be considered too.

This is a large challenge for management. Below is a list of common technological factors to become part of a PESTEL framework:

• New discoveries and innovations
• Rate of technological advances and innovations
• Rate of technological obsolescence
• New technological platforms (e.g. VHS and DVD)

Technological factors examples in PESTEL analysis

• Advancements in AI : New artificial intelligence technologies can streamline operations and improve efficiency in industries like manufacturing and customer service.
• Cybersecurity : Rising threats in cyber security can compel businesses to invest significantly in secure IT infrastructures to protect sensitive data.

You may find a more extensive list of technological factors and how they affect businesses here .

Environmental Factors in PESTEL Framework

Sometimes referred to as ‘ecological’ factors as well, these PESTEL external factors involve physical changes. Think less of the workplace environment—which would apply to communication among employees—and more about how locations are affected.

Both consumers and governments penalize firms for adversely affecting the environment. Governments levy huge fines upon companies for polluting. Companies are also rewarded for having a positive impact on the environment. Consumers are willing to switch brands if they find a business ignoring its environmental duties.

The impact on the environment is a rising concern. Note that the environment benefits the company too. Running water for a hydro-power plant is an example.

A few common environmental factors of the PESTEL framework are:

• Waste disposal laws
• Environmental protection laws
• Energy consumption regulation
• Popular attitude towards the environment

Environmental factors examples in PESTEL analysis

• Climate Change : Increasing awareness of climate change can push companies to reduce carbon emissions and adopt more sustainable practices.
• Regulations on Waste : Stricter environmental regulations regarding waste management may require companies to invest in new recycling processes and technologies.

You may find a more extensive list of environmental factors and how they affect businesses here .

Legal Factors in PESTEL Framework

This final step involves learning about the laws and regulations in your region. In other words, ways in which particular laws may affect business, ideas, or concepts. It is critical to avoid unnecessary legal costs. The laws are created by policymakers and government bodies, which is why they are sometimes weaved within the political section of PESTEL analysis. But the regulations here focus on the well-being of consumers or society rather than benefiting the agencies that crafted the laws.

This is the last factor in the PESTEL framework. These factors overview the legal elements. Often, start-ups link these elements to the political framework. Many legal issues can affect a company that does not act responsibly. This step helps to avoid legal pitfalls. You should always remain within the confines of established regulations.

Common legal factors that companies focus on include:

• Employment regulations
• Competitive regulations
• Health and safety regulations
• Product regulations
• Antitrust laws
• Patent and Copyright infringements
• Import/Export laws

Legal factors examples in PESTEL analysis

• Data Protection Laws : New regulations like the GDPR impose strict rules on data management, affecting how companies collect and handle personal information.
• Employment Laws : Changes in labor laws, such as minimum wage increases, can impact operational costs and hiring practices.

You may find a more extensive list of legal factors and how they affect businesses here .

Why use the PESTEL Framework and How to do a PESTEL analysis

When you go through each of the six categories and apply the insights to a business, product, or concept, you will understand what is standing in the way of its success.

Conducting a PESTEL analysis is a pivotal step before making significant decisions or embarking on major projects. Understanding all the influencing factors is the first step to addressing them.

While you can’t change fixed external elements like copyright laws, taxes, or inflation rates, understanding their direct impact on a business each quarter is paramount. For example, you can understand what percentage of taxes will cost your business each quarter and what it means for the economy as a whole if inflation rates skyrocket and how that impacts the business world.

With this understanding in place, you can use it to your advantage. Especially in comparison to competitors who may not leverage the richness of insights provided by a PESTEL analysis .

Remember, there are many factors other than these which can have an effect on business success.  The evaluation is a one-to-one process; what proves beneficial for one company might pose significant challenges for another. Identifying factors with strategic and competitive implications allows you to tailor your business strategies effectively.

Undertaking a PESTEL analysis is a comprehensive endeavor due to the complexity of the macro-environment. However, mastering this framework helps you systematically identify each opportunity and threat, enabling a structured and strategic approach to business planning.

Once you have mapped out the PESTEL framework, it becomes a foundational tool for strategic development. The insights derived from analyzing macro-environmental factors will inform and shape your business strategies, ensuring they are as responsive to current and future external conditions as possible.

If you’re gearing up to align a company’s strategies or simply aiming to enhance your decision-making process, starting with a PESTEL analysis is a prudent move. Armed with a deeper understanding of your operational environment, you’ll be better positioned to make informed, strategic decisions. For a practical guide and resources on how to conduct a PESTEL analysis, check out this step-by-step guide —it’s an investment in knowledge that pays the best interest for your business’s future. Also make sure to check out examples of PESTEL analysis here .

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Netflix PESTEL/PESTLE Analysis & Recommendations

Netflix’s opportunities and the threats to its business are assessed in this PESTLE/PESTEL analysis. The company formulates its strategies based on political, economic, social/sociocultural, technological, ecological/environmental, and legal factors (PESTEL factors) in the industry and relevant entertainment markets. These PESTLE factors create opportunities and threats that impact Netflix’s competitive position and business performance. The company’s streaming service, movies, series, and games are successful, allowing for business growth. However, this PESTLE analysis indicates the dynamic nature of external factors, which requires Netflix to fine-tune its strategies accordingly. Including the factors in this PESTEL analysis into strategic decisions can optimize long-term business outcomes.

This PESTEL/PESTLE analysis of Netflix presents industry and market trends that influence the opportunities and threats relevant to the company’s business performance. Strategic effectiveness regarding these trends can improve the company’s competitive advantages in content production and streaming services. Netflix competes with media and entertainment businesses, including Walt Disney , Sony , and NBCUniversal, as well as the production and streaming operations of Apple TV Plus, Amazon Prime Video, YouTube ( Google (Alphabet) ), Facebook (Meta) , and Microsoft Movies & TV (Films & TV). Success in this competitive environment, detailed in the Five Forces analysis of Netflix , depends on strategies for the external factors in this PESTLE/PESTEL analysis.

Political Factors

This component of the PESTLE analysis considers governmental policies and their impact on companies in the media and entertainment industry. The following are the political factors relevant to Netflix:

• Geopolitical tensions and trade bans and sanctions (threat)
• Political censorship (threat)
• Governmental support for sociocultural or national promotion through film (opportunity)

Netflix’s business growth in the entertainment industry and online service market is subject to geopolitical tensions that arise from disagreements or conflicts between countries. In this PESTEL analysis case, some of such tensions come with sanctions and bans, including a complete ban of Netflix’s streaming services. Also, for political reasons, governments may censor and limit access to some entertainment content from the company. These external factors are threats relevant to this PESTLE analysis of Netflix. Bans and censorship can reduce the company’s market share. On the other hand, political support for national promotion aims to encourage the popularization of content from various countries. In this PESTEL analysis case, such promotion in film is a political factor that offers Netflix the opportunity to distribute movies and series from various countries while making its streaming service more attractive to an international audience.

Economic Factors in Netflix’s Business

Economic trends and conditions are assessed in this component of the PESTEL analysis. The following economic factors affect Netflix:

• Higher purchasing capacity (opportunity)
• High inflation in some markets (opportunity and threat)

The economic development of countries, especially high-growth markets, comes with customers’ higher purchasing capacity for services, like Netflix’s. In this PESTLE analysis case, higher purchasing capacity is an external factor that gives the company an opportunity to grow its revenues and profits. For example, raising subscription fees in high-growth markets may improve Netflix’s profits from its international operations, although competition and customers’ price sensitivity may prevent the company from doing so. High inflation in some markets is another economic factor relevant to this PESTEL analysis of Netflix. This external factor is an opportunity because it can encourage customers to shift to online streaming, which is more affordable than going to cinemas. However, high inflation can also lead to an increase in subscription cancellations. Considering economic factors in this PESTLE analysis, Netflix’s competitive strategy and growth strategies ensure cost advantages that lead to the affordability of the company’s services, which supports competitiveness and profitable performance despite inflation-related limits in subscribers’ entertainment consumption.

Social/Sociocultural Factors

This component of the PESTLE analysis considers the social conditions that influence Netflix’s workers, customers, and business performance. The following are the sociocultural/social factors relevant to Netflix:

• Rising interest in multicultural content (opportunity)
• Strong regionalism in some markets (opportunity and threat)
• Increasing consumption of movie and series clips on social media (threat)

Netflix distributes content from various countries to address rising interest in multicultural content, which is an opportunity in this PESTEL analysis. Regionalism threatens the company by reducing demand for some types of content in some countries. However, regionalism is also an opportunity in this PESTLE analysis of Netflix, in terms of how content delivery can enhance customer experience. For example, the company can improve its fine-tuning of content suggestions to make viewers more satisfied despite the issue of regionalism. Content production for the trends of multiculturalism and regionalism supports the global entertainment goals of Netflix’s mission and vision . On the other hand, the consumption of clips of movies and series on social media is a strategic challenge relevant to this PESTEL analysis case. This external factor attracts audiences to view multiple clips to completely watch movies and series for free on social media instead of paying Netflix for the same content. Despite limited options in addressing this issue, aligning the qualities, core values, and traits of Netflix’s organizational culture (business culture) to the market’s social condition considered in this PESTEL analysis can provide insights into strategies that maximize social acceptance and demand for the company’s streaming service and original movies, series, and games.

Technological Factors influencing Netflix

Technologies and technological trends are assessed in this component of the PESTEL analysis. The following technological factors influence Netflix:

• Widespread use of mobile devices (opportunity)
• Improving internet connectivity worldwide (opportunity)
• Improving animation software capabilities (opportunity)

The widespread use of mobile devices worldwide is considered an opportunity in this PESTLE analysis case, such as for targeting demand for products specific to mobile devices. In this regard, the SWOT analysis of Netflix identifies product development and diversification as opportunities to use competitive advantages to provide new products, including more games for mobile devices. On the other hand, improving internet connectivity around the world gives opportunities for effective streaming services and improved customer satisfaction. In this PESTEL analysis of Netflix, this external factor can help retain customers, grow the business, and increase revenues. Moreover, the company can enhance its operations based on improving animation software capabilities. This technological factor is an opportunity in this PESTLE analysis case, in terms of how it increases the quality of Netflix’s animated content and subscribers’ satisfaction.

Environmental/Ecological Factors

This component of the PESTLE analysis assesses ecological trends or factors pertaining to the natural environment and its effect on business. The following are the ecological/environmental factors that affect Netflix:

• Increasing availability of renewable energy (opportunity)
• Increasing focus on sustainability (opportunity)

Netflix distributes its digital products through the internet. As a result, the ecological factors relevant to this PESTEL analysis mainly apply to the company’s office activities and film production and the operations of Amazon Web Services (AWS), which hosts Netflix’s content. For example, the increasing availability of renewable energy offers the opportunity to reduce the carbon footprint of the company’s movie production operations by using energy efficient equipment. Also, the increasing focus on sustainability is an opportunity in this PESTLE analysis of Netflix. The company can enhance its sustainability while encouraging subscribers to adopt more sustainable lifestyles. Netflix’s strategy for CSR/ESG and goals for sustainability and corporate citizenship are designed to enhance the business while accounting for these external factors and environmental trends in this PESTEL analysis case.

Legal Factors in Netflix’s Business Environment

Laws and regulatory trends are considered in this component of the PESTEL analysis. The following legal factors are relevant to Netflix:

• Improving regulations on intellectual property (opportunity)
• Protectionist regulation of media and entertainment (opportunity and threat)
• Lawsuits involving various parties (threat)

Netflix benefits from improving legal and regulatory protection for intellectual property. This external factor is an opportunity in this PESTLE analysis, referring to support for further production of movies, series, and games, with decreasing concern for intellectual property violations, like content piracy. However, some countries have protectionist policies that limit the external influence of online service companies, like Netflix. This legal factor can reduce content availability and make the streaming service less attractive to some audiences. Nonetheless, protectionist regulation is also an opportunity in this PESTEL analysis of Netflix. For example, business strategies can optimize content availability to attract audiences despite regulatory restrictions on content availability. Moreover, considering protectionism in this component of the PESTLE analysis, the promotional strategies and tactics in Netflix’s marketing mix (4P) can help mitigate this threat by attracting new subscribers to allowed content. Still, the company’s strategies need to account for lawsuits against its operations. These lawsuits may involve shareholders, governments, subscribers, and other parties. In this PESTLE analysis case of Netflix, such lawsuits are an external factor common among large multinational companies with online operations.

Recommendations – Netflix PESTLE/PESTEL Analysis

Recommendations based on external factors in this PESTLE/PESTEL analysis of Netflix focus on mitigating the effects of threats and capitalizing on opportunities in the industry and regional markets. The PESTEL factors provide various opportunities for growing the entertainment and streaming business. The following recommendations support international business growth despite the strategic challenges associated with the external factors in this PESTEL/PESTLE analysis of Netflix:

• Grow content production operations for movies, series, and games, based on economic, social, and technological factors and opportunities.
• Enhance Netflix’s marketing strategies to mitigate the limiting effects of political, social, and legal factors and threats.
• Develop consumer electronics to complement existing operations, especially gaming, to address external factors, particularly technological and legal opportunities and threats.
• Improve Netflix’s business sustainability and the sustainability of business partners and suppliers, to account for environmental or ecological trends.
• Asmar, A., Raats, T., & Van Audenhove, L. (2023). Streaming difference(s): Netflix and the branding of diversity. Critical Studies in Television, 18 (1), 24-40.
• Davis, S. (2023). What is Netflix imperialism? Interrogating the monopoly aspirations of the ‘World’s largest television network’. Information, Communication & Society, 26 (6), 1143-1158.
• Netflix, Inc. – Form 10-K .
• Netflix, Inc. – Long-Term View .
• Phan, S. (2021). The effect of PESTLE factors on development of e-commerce. International Journal of Data and Network Science, 5 (1), 37-42.
• Schaffner, B., Stefanescu, A., Campili, O., & Chetty, M. (2023). Don’t let Netflix drive the bus: User’s sense of agency over time and content choice on Netflix. Proceedings of the ACM on Human-Computer Interaction, 7 (CSCW1), 1-32.
• U.S. Department of Commerce – International Trade Administration – Media and Entertainment Industry .
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• Educators, Researchers, and Students: You are permitted to quote or paraphrase parts of this article (not the entire article) for educational or research purposes, as long as the article is properly cited and referenced together with its URL/link.

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PESTLE Analysis: Explained with Examples & Templates

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1. What is PESTLE Analysis?

The PESTLE analysis is a tool to identify macro (external) forces an organization faces in its business. More specifically, PESTLE analysis studies the external challenges of a business. And guides to overcome them.

The external challenges are Political, Economic, Social, Technological, Legal, and Environmental. The word "PESTLE" is an acronym for these six factors.

PESTLE analysis is an important marketing tool. It helps every business identify significant changes in the broad business background, thus helping in better strategic business planning.

There are many variants of the analysis to fulfill the needs of businesses with unique requirements. They can use variants as per their needs. For example, if the technological factor doesn't matter to an industry, they can choose a variant that excludes it. A few widely used variants of PESTLE analysis are STEEPLE, SLEPT, and PESEL.

2. What are the 6 PESTLE Factors? With Complete Lists

Now we'll discuss each factor of the PESTLE analysis with examples and try to understand how they impact a business.

1. Political:

The P stands for political, the first and an essential factor of the PESTLE analysis model. Political factor determines how government and government policy may impact a business. Here we analyze the government's policy-making patterns regarding business laws and regulations like tax guidelines. It also deals with business to political relations and their impacts on the overall market. The political stability or instability in a country and their possible outcomes. Government's behavior with businesses in general. The political factors deal with such and many other questions.

Summarization of the political sub-factors:

• Government stability
• Political policy
• Tax guideline
• Fiscal laws
• Trade regulation
• Safety regulation
• Employment laws

2. Economic:

E stands for economic. The economy significantly affects a business's organizational operations. For example, equipment prices and maintenance costs increase with inflation and interest rates increment. Also, with a rise in the currency exchange rate, the duty on imports of raw materials increases, ultimately leading to a rise in the product price. The economy directly impacts the growth and performance of the industry. The end consumer's financial state is also essential. An affordable and quality production puts a base of a successful business; we can achieve it only when the economic factor is carefully analyzed.

Summarization of economic sub-factors:

• Inflation rates
• Interest rates
• Economic growth
• Employment or unemployment rates
• Currency exchange rates
• Raw material costs

S is for social . This factor helps a business understand its end consumer needs. The focus remains on the social environment, public behavior, and identifying emerging trends among the people. It deals with the customers' values, hopes, desires, and fears. It also discusses what motivates or disgusts the general masses and why. Careful analysis of social factors is crucial for a good business plan and strategy. The social factor helps companies do a robust customer analysis to solve their customers' problems with their products or service.

Summarization of social sub-factors:

• Demographic characteristics
• Education levels
• Custom and values of the population
• Cultural trends
• Attitude changes
• Changes in lifestyles

4. Technological:

Technological factors consider the rate of technological development and innovation that could affect a market or industry. Technology is overgrowing, and the industry should be able to acquire that technology as soon as possible to remain in the race before the competition overtakes the market.

Technology also poses threats. For example, it is also possible that a particular product could be replaced by a much cheaper and more advanced alternative of another company. Therefore, keeping oneself updated on the new trends and advancements in an industry is necessary. Every organization must possess the latest technology required to develop and enhance its products or services.

Summarization of technological sub-factors:

• Changes in digital or mobile technology
• Development

It is crucial for an organization to know what is legal and allowed within the territories of the country they operate. They also must be aware of any possible change in laws or legislation in the country and its impact on industry operations.

Summarization of legal sub-factors:

• Employment legislation
• Consumer law
• Healthy and public safety
• Local trade regulation and restrictions
• International trade regulation and prohibitions

6. Environmental:

A successful business model gives importance to the environment . Carbon footprint, climate change, and waste disposal are critical for it. Also, the environmental impacts are essential for the low cost and good quality production. For example, a product suitable for a cold atmosphere should be prepared in a low-temperature area rather than investing in air conditioning. Also, proper environmental conditions ensure that the products remain fine for a more extended period

Summarization of environmental sub-factors:

• Recycling procedures
• Carbon footprint
• Waste disposal
• Sustainability

3. When to use PESTLE Analysis?

PESTLE analysis is used before a strategic business decision. The analysis effectively detects and understands broad, long-term trends in the business background. Therefore, it is extensively used in a range of business planning situations. Let's see where we can use it.

Strategic business planning

With PESTLE analysis, we can obtain contextual information about the business direction, whether the business is growing or not? Growth targets, brand positioning, and risks to productivity ratios.

Expansion of the business

The PESTLE analysis may also help determine when and where a business should expand. It could be determined by considering labor costs, tax laws, and the need for the product where the industry plans to expand.

Workforce Planning

PESTLE analysis can help to plan the required workforce for an organization. For example, a technical workforce will be required for a technology-related business. PESTLE analysis help to choose the right workforce by considering factors like availability of labor, availability of skilled labor, and the cost.

Product development

A PESTLE analysis help determines if a product or service still fulfills the needs of the consumers in the marketplace. It may also tell what product would suit the current market conditions. Also, it reveals why a product fails or succeeds in similar business conditions.

Marketing Planning

PESTLE analysis helps in marketing a brand or product effectively. It deals with the factors required to sell a product proficiently to the customers. Many major organizations use the PESTLE analysis for product promotion and marketing.

Organizational change is a PESTLE analysis example. It deals with the possible opportunities and threats around labor changes, such as skills, increment or decrement in the labor cost, shortages, or current workforce capabilities.

4. How to do PESTLE Analysis?

Before doing PESTLE analysis, it is better to arrange a team of experts for the task. A team could be organized based on six PESTLE factors. It is necessary to obtain information on each area of the PESTLE model. Every element has its importance. If anything is left out, the analysis would not be much helpful. Therefore, field experts are required for this analysis, i.e., a technical team member could be hired to research the technological aspects. Likewise, an environmentalist could be employed to study the environmental factors.

There are ten steps to take to do a successful PESTLE analysis.

• Identify the scope of research that covers the present and possible future scenarios.
• Decide who will collect the information and how.
• Identify appropriate sources of information.
• Gather the information. Make sure to arrange the information correctly to be used again easily.
• What did you find? Analyze the information carefully.
• Make a list and put the items in terms of their importance. Most important things go first, and less important things go last.
• Identify the options you have to address the issues.
• A discussion document for all stakeholders.
• Discuss the findings with stakeholders.
• Discuss the plan and decide on actions to take.

5. PESTLE Analysis Examples

Here are three examples of PESTLE analysis of three highly successful companies.

Amazon PESTLE analysis indicates the significant threats that might pose a problem for the company. Also, it shows the growing opportunities that are being developed with the ever-increasing technology and economy-these opportunities aid in holding their place in the online market.

Google PESTLE Analysis tells that they have many opportunities and some threats. They must prepare a solid plan which can aid them to survive in the highly certain economic factors in any competitive market. Google Should develop a more secure medium for the users.

Tesla's PESTLE Analysis example highlights many vital elements that have been helpful in the company's growth. From the economic perspective, the company has many challenges, but at the same time, from environmental and technological factors company's rapid growth is evident.

6. Pros and Cons of PESTLE Analysis

It encourages critical thinking.

It helps to prepare the business for the future.

It helps to manage business risks and threats.

It helps businesses capitalize on new opportunities.

It is a straightforward approach with a simple framework.

It takes a lot of time to process.

It involves many steps.

It needs to be done at regular intervals.

External factors could change quickly, so it cannot be easy to present and analyze up-to-date information.

7. Key Takeaways

PESTLE analysis helps in the development and growth of businesses and organizations. It helps to analyze strong and weak areas of industries. A proper PESTLE analysis report may help you grow your business. With EdrawMind, you can create eye-appealing PESTLE analysis graphs and reports for your business with a few clicks and easily share them with your team members. You can also select from 100s of already present templates and customize them according to your needs.

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What is PESTEL Analysis? Definition, Benefits, Examples, Strategic Management and Best Practices

By Paul VanZandt

Published on: February 2, 2023

Table of Contents

What is PESTEL Analysis?

Pestel analysis framework, pestel analysis examples and factors, key benefits of applying pestel analysis, pestel analysis in strategic management, top 5 best practices for pestel analysis.

PESTEL analysis is defined as a business impact study that aims to understand the effects of 6 key external factors, which are politics, economics, social, technology, environmental, and legal.

Initially designed in 1967 as a business planning tool, this method was then known as PEST, with environmental and legal factors joining the list as regulations and business environmental factors became larger business influences.

The PESTEL analysis technique is a key tool for a company’s management team during enterprise strategic planning. When correctly done, this analysis technique can help anticipate future challenges and opportunities. This technique is especially helpful when formulating a strategic business plan that methodically takes both internal and external influences on the business into account.

The PESTEL analysis framework is a strategic tool utilized by businesses to assess and respond to external macro-environmental factors influencing their operations. It encompasses six key dimensions:

• Political: Political factors involve governmental policies, regulations, and geopolitical stability impacting business environments. For example, shifts in tax policies or trade agreements can significantly influence market conditions and operational decisions.
• Economic: Economic factors, such as GDP trends, inflation rates, and interest rates, shape consumer behavior and business investment strategies. Industries sensitive to economic fluctuations must adapt pricing and operational strategies accordingly.
• Social: Social factors encompass cultural norms, demographics, and consumer preferences. Understanding societal shifts and behaviors helps businesses tailor their products, services, and marketing strategies to meet diverse customer needs effectively.
• Technological: Technological advancements drive innovation and operational efficiencies across industries. Businesses leveraging emerging technologies like AI, IoT, and automation gain competitive advantages in product development and service delivery.
• Environmental: Environmental factors, including sustainability practices and regulatory requirements, impact operational strategies and consumer perceptions. Adopting eco-friendly practices not only meets regulatory standards but also enhances brand reputation and customer loyalty.
• Legal: Legal factors encompass laws and regulations governing business operations, employment practices, and consumer protection. Compliance with data privacy laws (e.g., GDPR) and industry-specific regulations is crucial for mitigating legal risks and maintaining trust.

A PESTEL analysis is a strategic tool used by businesses and organizations to assess and analyze the external macro-environmental factors that can impact their operations and decision-making. Here’s an example of a PESTEL analysis for a fictional company in the renewable energy industry:

1. Political Factors:

• Government policies and regulations promoting renewable energy sources.
• Tax incentives for renewable energy projects.
• International political stability affecting trade and investments.
• Energy security policies.

2. Economic Factors:

• Economic stability and growth in the company’s target markets.
• Exchange rates and their impact on imported components.
• Funding and financing options for renewable energy projects.
• Consumer disposable income and its influence on demand for renewable energy.

3. Social Factors:

• Growing awareness and concern for environmental sustainability.
• Changing consumer preferences towards clean and green energy sources.
• Demographic trends that may affect energy consumption patterns.
• Public perception of renewable energy technologies.

4. Technological Factors:

• Rapid advancements in renewable energy technologies.
• Research and development opportunities in the sector.
• Potential for cost-effective energy storage solutions.
• Integration of smart grids and IoT in the energy sector.

5. Environmental Factors:

• Influence of climate change on the generation and utilization of energy.
• Environmental regulations and emissions standards.
• Availability of renewable energy resources (e.g., sunlight and wind).
• The company’s carbon footprint and sustainability initiatives.

6. Legal Factors:

• Environmental protection laws and regulations.
• Intellectual property protection for innovative technologies.
• Trade restrictions and tariffs affect the renewable energy supply chain.
• Health and safety regulations for employees.

By analyzing these factors, the company can better understand the opportunities and threats in its external environment. This analysis can inform strategic decision-making, risk management, and the development of a competitive advantage in the renewable energy industry. It’s important to note that the significance of these factors may vary depending on the industry, location, and specific circumstances of the company being analyzed.

Let’s dive into the enterprise benefits brought about by conclusions drawn using PESTEL analysis:

• Better threat anticipation and management

An enterprise that has planned for all the key 6 external factors highlighted in PESTEL, is in a position where they have a wider and more in-depth understanding of any threats emerging out of external factors. This helps businesses make plans for contingencies, to avoid the threat or to deal with it in the most prudent way possible.

• Increased chances for business continuity during disasters

Business disasters can be natural, political, geopolitical, or economic. Companies who are actively aware of these shifting landscapes have more capacity to absorb these challenges and ensure business continuity and perhaps even growth during such periods. A recent example would be the sudden rise in Federal Reserve interest rates to tackle inflation in 2022 where many companies who had taken business loans based on floating interest rates (especially to stay afloat during COVID lockdowns) now found themselves paying 3-4 times in interest amount within just a year. This rate hike however was much discussed and anticipated and businesses that repaid or maintained sufficient cash margins accounting for anticipated rate hikes, have a much better chance of ensuring the financial stability of the firm.

• Competitive tech-stack

PESTEL analysis included technology as a key factor that keeps the management team aware of the level of maturity of the company’s tech stack vis-a-vis competition and what is available in the market. Consider this against a CTO trying to convince the board of tech investment without the right macro context.

A company’s management team may be composed of more experienced but demographically older members. A PESTEL analysis enables the management to keep themselves tech-savvy and aware of the latest technology and its benefits to enterprise growth. These tech investments may span across the organization chart such as improving human resource management efficiency, better employee surveying for feedback, better quality customer data collection, better enterprise data management, planning product and service improvements/ innovations, etc.

• New opportunities identification

External factors are not just threats and compliance, they can and often are filled with business opportunities to be explored. A change in the landscape can be an opportunity for the entity who is already prepared to take advantage. For example, while GDPR regulations led to a reduced volume of business inquiries from websites, they also improved the quality of these leads who were now more sales-ready. This was because visitors who gave their consent to be contacted by sales or cookie tracking for better product recommendations or receive newsletters on the product etc, were clearly more ready to make a purchase. Companies who invested more, not less, on the website quality and better quality online resources post-GDPR, were able to leverage improved lead quality and therefore better sales opportunities in the European market.

• Focused strategic planning

A company’s strategic plan is the overarching business operations and growth plans that drive every other objective. PESTEL analysis is a primary tool for an enterprise’s management team seeking to create a realistic, achievable, and competitive strategic plan that takes into account all external factors. While several other methods also take into account external opportunities and threats, it is only PESTEL that clearly breaks down for the management team the 6 factors that allow for a broad, yet in-depth analysis of external business influences.

Learn more: What is a MoSCoW Analysis?

A PESTEL analysis is a valuable tool in the field of strategic management. It is used to assess and analyze the macro-environmental factors that can affect an organization’s strategic decisions and long-term planning. Strategic management involves setting the direction and goals of an organization, and the PESTEL analysis helps in understanding the external factors that can impact this process. Here’s how a PESTEL analysis is relevant in the context of strategic management:

• Identifying Opportunities and Threats: By examining Political, Economic, Social, Technological, Environmental, and Legal factors, organizations can identify both opportunities and threats in their external environment. This information is critical for crafting strategies that leverage opportunities and mitigate threats.
• Scenario Planning: PESTEL analysis aids in scenario planning, where organizations can consider various future scenarios based on different combinations of these external factors. By doing so, they can develop strategies that are robust and adaptable to various potential futures.
• Strategic Decision-Making: Understanding the external environment through a PESTEL analysis is essential for making informed strategic decisions. It helps in shaping business strategies that align with the current and future landscape.
• Risk Management: Organizations can use PESTEL analysis to assess risks associated with changes in the external environment. For example, changes in government regulations, economic downturns, or technological disruptions can pose risks to the organization, and a PESTEL analysis can help identify and manage these risks.
• Innovation and Adaptation: The Technological and Environmental factors in a PESTEL analysis can guide innovation and adaptation efforts. It can help organizations stay ahead of technological advancements and align their strategies with environmental sustainability.
• Global Expansion: For organizations considering international expansion, a PESTEL analysis is crucial for understanding the unique factors and challenges in each target market. It helps in tailoring strategies to fit specific international environments.
• Regulatory Compliance: The Legal factors in the analysis help in identifying legal requirements and compliance issues that can affect the organization’s strategies. This is particularly relevant in industries with high regulatory oversight, such as healthcare or finance.
• Stakeholder Communication: Understanding the Social and Environmental factors can aid in effective communication with stakeholders. It enables organizations to demonstrate their commitment to societal and environmental concerns, which can be a key part of their strategic positioning.

PESTEL analysis is a fundamental component of strategic management. It provides a comprehensive view of the external environment, allowing organizations to make informed decisions, plan for the future, and adapt to changes in their operating environment. It helps in crafting strategies that are not only relevant but also resilient in a dynamic and complex world.

1. Get the latest data

Every contributing factor in PESTEL analysis requires the management team to have access to facts and figures. For example, for economic factors, one needs inflation data, central bank interest rate charts, GDP trends, etc. Often a small change in this core data collection can lead to significant changes in perception and reality.

For example, if the inflation rate threshold is 2% for the US Federal Reserve, and it changes to 3% in two or three consecutive quarters, it may trigger the Fed to hike rates to bring inflation down. However, if the company only had access to 1-year-old data, then this event would not have been factored into the enterprise plan.

It is therefore critical to ensure that the latest released data across all PESTEL factors are accessed and taken into account for planning and analysis stages.

2. Prioritize facts over forecasts

Since PESTEL is used for future enterprise strategic planning, by default there is some level of forecasting involved. However, the key is to ensure that facts are not stretched to fit a desirable narrative, especially when evaluating political and economic factors which are quite dynamic and hard to predict by nature.

3. Get a second opinion

Whether the management team has hired a consultant, or external agency or is conducting the analysis internally, it is always a best practice to get a second opinion before framing final conclusions from the report. This is because, while PESTEL relies on data, many factors have qualitative aspects that can always use a second perspective.

4. Incorporate results in all levels enterprise of enterprise planning

The conclusions of the PESTEL analysis are usually directed toward strategic planning, and management needs to ensure that the conclusions are trickled down to all levels of company planning. For instance, decisions stemming from online legal and compliance requirements need to be streamed down to the execution teams where marketing, web development, and legal teams collaborate for accurate implementation.

5. Use visual software for presentation

Visual tools such as FrescoPad have built-in templates to brainstorm and visually present PESTEL analysis results. The technique of PESTEL analysis itself is a collaborative effort across department leaders in the management team spread across geographic locations and requires in-depth qualitative and quantitative discussions. This software helps to make the analysis process interactive and makes it easier to save and share conclusions in a visual format.

Learn more: What is SWOT Analysis Framework?

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How to Conduct a PESTLE Analysis Explained with Example

Free Market Analysis Kit

Ayush Jalan

• January 2, 2024

While a business plan outlines the process of building, running, and maintaining your business, it’s not enough to survive in the market. To make sure that your business stands the test of time, you need to arm yourself with strong and reliable business tools.

This is where business frameworks like PESTLE, SWOT, and Porter’s Five Forces can prove to be useful. They help you understand your business environment and break down long-term goals into bite-sized tasks. This allows you to streamline activities using actionable data.

In this article, we’ll focus on PESTLE analysis . We will see what it is, how it works, how to conduct it, and also see an example to help you get a better idea.

Table of Contents

What Is PESTLE Analysis?

When is pestle analysis conducted, 6 factors of the pestle framework, how to conduct a pestle analysis, example of pestle analysis.

PESTLE is an acronym for Political, Economic, Social, Technological, Legal, and Environmental factors. It’s a business framework that focuses on these six external influences on your company. It is often used in conjunction with other business frameworks.

Entrepreneurs use it to gather info about various external factors affecting their company. This helps get a bird’s-eye view of the business landscape which leads to better decision-making and protects against risks.

A PESTLE analysis is conducted:

• Before the launch of new products or services
• Before venturing into a new market
• To find new opportunities in the existing industry
• To analyze the changing environment of your industry

The PESTLE framework looks at your business environment from six different angles. By analyzing each, you can optimize your business activities according to the changes and trends in your industry.

Let’s understand these factors in detail.

1. Political

The first factor looks at the political powers affecting your business. This includes tax policies, political stability, environmental regulations, and trade barriers like tariffs, quotas, embargos, etc. These can also include government policies applicable to all business activity or particular to your industry.

For instance, say the government levies a special tax on iron. Manufacturing companies that use iron as a raw material will then see an increase in their COGS (cost of goods sold). As a consequence, this will affect the price of their offerings and net profit .

2. Economic

Economic factors include inflation, the standard of living, the unemployment rate, economic growth/decline, interest rates, the fiscal year followed in the country, foreign exchange rate, and economic stability.

For example, a recession causes unemployment and hence a decrease in people’s purchasing power. This results in reduced production of goods due to low demand and may even cause entrepreneurs to exit their businesses .

Unlike the above two, the social factor focuses on the things that influence your target market. Given the unpredictable changes in the demographics of your audience, social factors often tend to be highly volatile.

Social factors include cultural trends, religious beliefs, literacy rate, population growth, demographics, social classes, etc. These factors influence the buying pattern of your target customers, and hence, the sales of your products or services.

For instance, with the changes in people’s dietary habits, food outlets are expected to offer products accordingly. A person following veganism expects a fast food restaurant to provide diverse vegan options.

In other words, businesses tailor their offerings according to the changing needs and want of their customers.

4. Technological

Technological factors refer to the technological developments impacting your business. This may be the way you manufacture your products or the way you market and sell them. This includes advances in machinery, software, and equipment that can aid or harm your business.

For instance, a store may use gesture recognition to help people with disabilities such as hearing, speaking, or other motor impairments. This can help drive sales with increased inclusivity and convenience for customers with special needs.

Legal factors refer to the laws your company has to abide by. These legal factors include consumer laws, labor laws, copyright laws, import/export laws, etc. If you do business overseas, you must follow the trade laws of your home country as well as the importing country.

These factors influence the development of products and operations of your business. For instance, an automobile company follows the set safety guidelines while manufacturing vehicles. This includes using qualifying materials, adding safety exits, etc.

6. Environmental

Environmental factors reflect your business’s surrounding ecological environment. This includes weather conditions, seasonal climate, geographical location , global climate effects, energy consumption, waste disposal, carbon emissions, etc.

These factors influence your sales, customers’ opinions about your brand, and your business operations. For instance, the rise in global warming has led companies to shift to more sustainable energy resources and opt for better waste disposal solutions.

STEP 1: Select the objective and scope of analysis

The first step is to determine the purpose of your analysis and its scope. This includes the geographical locations you are targeting, the extent of data you will need, and the relevant factors to your business. Being aware of your goal helps you avoid going off track while researching.

STEP 2: Conduct research for all six factors

Next, research each of the six factors. Gather the information relevant to you. Use reliable sources such as case studies, government reports, and high-authority websites to enhance the quality of your information.

You can also outsource this task to research firms if you can bear the costs. However, doing it yourself can help you understand your business better. If you are unsure of where to begin, you can start by asking these questions:

• Political: How and to what extent do national and international politics affect your business operations?
• Economical: What are the economic trends that may impact your company in the future? How volatile are the economies of the countries you work in?
• Social: What are the factors that affect your target customers’ buying behavior? Did you notice any trend among your customers recently? Technological: How old is the machinery and/or equipment in your company? Is there a need to upgrade to newer models to grow?
• Legal: What are the laws in the country/countries that you operate in? Are you facing any legal issues that can impact your brand image?
• Environmental: Is your product seasonal? Does your product require a certain kind of weather condition to manufacture? What are your initiatives toward sustainability and other environmental issues?

STEP 3: Interpret and organize data into relevant categories

Now it’s time to put all this data together. Start by writing your company’s description i.e. who you are and what you do. Next, write down your findings from the research such as your repeat customer stats, recent impact on market share due to sudden economic change, etc.

Illustrate this information according to the order of the framework. You can represent the six factors in the form of a matrix for simplicity (see the example below). Finally, conclude the report with a summary of the analysis.

STEP 4: Put the data to use

After gathering, organizing, and interpreting all the information from your PESTLE analysis, it’s time to put this data to use by making predictions, changing strategies, reallocating resources, safeguarding investments, etc.

Be sure to communicate these changes to your team to execute a quick and smooth switch. This will help your team stay on the same page and not deviate too far away from the company goals.

PESTLE analysis of Nestlé

Nestlé is the world’s largest FMCG multinational giant, operating in over 190 countries. The Swiss-based company was founded in 1866 by Henri Nestlé. As of 2021, its net sales amount to USD 93 billion, employing over 273,000 people

Make Better Decisions with a PESTLE analysis

Building a business comes with a great deal of unpredictability. Luckily, tools like the PESTLE analysis can help you navigate unknown waters. Research your external business environment to find valuable facts and gain a macro picture of your industry. Use this info to make better decisions and stay ahead of the game.

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About the Author

Ayush is a writer with an academic background in business and marketing. Being a tech-enthusiast, he likes to keep a sharp eye on the latest tech gadgets and innovations. When he's not working, you can find him writing poetry, gaming, playing the ukulele, catching up with friends, and indulging in creative philosophies.

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How To Do A Pestle Analysis In 6 Steps

A PESTLE analysis is a tried-and-true approach for identifying macro-environmental factors that might impact an organization.

This type of assessment can help teams with strategic decision-making, business analyses, and navigating periods of change. 

But, if you’re doing strategic planning for a large organization, division, or multiple SBUs, performing a PESTLE analysis quickly, accurately, and consistently can be challenging to get right.

This article will cover everything you need to know to complete a PESTLE analysis for your organization, including when you should do it, and how to combine it with other strategic frameworks.

• PESTLE, PESTEL or PEST analysis is a strategic framework used to identify macroenvironmental influences on an organization of a business.
• The PESTLE framework divides external influences into six sections: Political, Economic, Social, Technological, Legal, and Environmental.
• Pros: PESTLE is simple to understand and use, making it a good framework for businesses of all sizes.
• Cons: The validity of PESTLE assessment largely depends on the quality and amount of information available to an organization.

⚠️ Go beyond the forecast! Understanding external factors is crucial, but strategic advantage comes from action. Cascade Strategy Execution Platform bridges the gap between analysis and execution. Talk to our experts to transform your PESTLE insights into an actionable plan for navigating change and seizing opportunities.

When Should You Do a PESTLE Analysis?

While it may not be needed for all strategy-related activities, every company has multiple use cases for PESTLE analyses. Here are a few common examples:

• Strategic planning: PESTLE is a useful starting point for most strategic decision-makers and it can help lay the groundwork for more in-depth research. 
• Reviewing market position : Companies can use PESTLE to better understand shifts in market position over time and contextualize organizational growth, decline, or stagnation.
• Marketing planning: PESTLE can offer marketing teams valuable insights into external factors that impact marketing, PR, and advertising projects.
• Product development: PESTLE is helpful for understanding consumer sentiment from various angles and can assist organizations that want to know how products should be designed, changed, or marketed.
• Organizational change: Whether an organization is changing direction, restructuring, or expanding, a PESTLE analysis, combined with other strategic frameworks , can provide valuable information about external factors that will impact transformation initiatives.

What Are the 6 Elements Of PESTLE?

A PESTLE or PESTEL analysis divides macroenvironmental elements into six categories, each of which can impact an organization differently. Here are the six PESTLE factors:

Political factors

Political factors relate to the political interactions between governments, countries, and various political actors. 

For example:

• Diplomatic relations between countries
• Political stability and continuity
• How governments operate
• The prevalence of civil society
• The potential for political unrest
• Foreign trade policies

Economic factors

These encompass the key economic elements within the business environment that can impact your organization.

• Exchange rates
• Interest rates
• Economic growth rates
• Corporate taxation rates
• Unemployment rates

Social factors

Social factors or sociocultural factors define group consumer behavior and thinking. They can include quantitative, such as average age, and qualitative data, such as opinions.

• Demographics
• Education levels
• Social views
• Age distribution
• Disposable income
• Cultural stability

Technological factors

Technological factors are tech-related developments, shifts, and patterns that could directly or indirectly impact your business. This can include broader global or regional conditions.

• Internet connectivity
• Specific technologies, like automation
• Advancements in your industry
• Intellectual property
• Rate of technological change
• Research and development lifecycles

Legal factors 

Legal factors are current laws, regulations, and bills that may affect the organization’s operations and future plans. 

• Competitive regulations
• Health and safety regulations
• Government policy
• Tax policies
• Antitrust laws
• Import/export laws

Environmental factors

Environmental or ecological factors look at the impact of businesses on the environment and how the environment might affect the business.  

• Natural disasters
• Weather patterns
• Consumer health
• Climate change
• Resource availability

How Do You Do a PESTLE Analysis Step By Step?

While there is no clearly defined way of doing a PESTLE analysis from start to finish, a systematic planning process and approach can increase efficiency and impact.  

Here are six steps to do a PESTLE analysis the right way.

1. Prepare for your analysis 

Before you begin, lay the groundwork to ensure accuracy, quality, and focus. The saying “measure twice, cut once” will pay dividends down the line.

Create a founding document that answers these questions:

• Why — The reason you’re conducting a PESTLE analysis.
• What — The scope, goals , and initiatives.
• Who — The key people needed in the analysis process. 
• Where —  Where are we going to look for information?
• When — The deadlines for the data and final insights.

Answering these questions will explain how to approach your PESTLE analysis. 

Finally, organize a meeting with involved team members and stakeholders to present the plan, communicate success metrics, and get feedback.

2. Collect data for your PESTLE analysis

Gather the information you need to fill out your PESTLE diagram. This may require primary research and consultation with external industry experts. You will likely need various types of data and information.

But don’t get bogged down in data and research. A PESTLE analysis is meant to speed up traditional research by focusing your efforts.

To streamline the process, concentrate on one area at a time and address them sequentially according to the acronym. That way, team efforts can be focused, and progress tracking can be easier.

3. Complete a PESTLE diagram

It’s time to make sense of your research by putting the collected information into a PESTLE diagram. 

Remember that PESTLE analysis aims to cut through the noise and provide a clear idea of the external environmental influences to consider.

Divide the factors and segment them appropriately, making them easy to understand for the rest of the team. For example, if you are listing social factors, divide this list into sub-sections, such as consumer behavior, cultural norms, and work-related matters.

4. Interpret and evaluate your results

Use this information to interpret the macroenvironmental factors that can impact your organization's future plan and come up with strategies to handle them. 

Remember, not all factors will have the same impact and importance to your organization. You can use tools like a risk matrix to assess the probability of occurrence and impact on your organization. This will help you to focus your efforts and prioritize strategic initiatives . 

Add additional context to your analysis by including data from other strategic frameworks you’re using, such as a 7S Model , Porter’s Five Forces, or GE Matrix . 

Each strategic framework offers a different perspective to help with:

• Understanding how macroenvironmental factors intersect and interact.
• Spotting missed opportunities and threats for your business.
• Determining how your organization is best-equipped to handle potential issues.

5. Put together an action plan

Use insights from your PESTLE diagram and other strategic analyses to create an action plan that addresses identified risks, threats, and opportunities. 

For example, the rising logistical cost (a combination of technological and economic factors) of moving products to particular markets could be handled in a number of ways, such as: 

• Shifting the organization’s growth focus to other markets.
• Insourcing key parts of the logistics chain.
• Revising the organization’s pricing strategy.
• Developing internal capacities to build components.
• Outsourcing production to a third party in another country.
• Lobbying governments to reduce trade tariffs and excise fees.

Once your plan is in place, start executing .

6. Review and monitor external signals

New technology can disrupt an industry, diplomatic relations can sour, and customer sentiment can shift. 

Any strategy that doesn’t evolve and adapt won’t have an actual impact. Make sure that revision and monitoring are fundamental parts of your strategic processes.

You need to treat strategy, execution, and analysis as complementary elements if you want to create an adaptive strategy and successfully manage disruptions.

💡Tip: Use a strategy execution platform like Cascade to speed up and improve strategic business planning and execution. With Cascade, you can plan, measure, and report on strategic initiatives all in one place. By bringing your team in, you can collaborate on shared goals without spending time in meetings to keep everyone aligned.

PESTLE Analysis Example: Starbucks

Starbucks is well known across the world with 32,000 locations in over 80 countries. Here’s an example of how a PESTLE analysis might look for this global coffee brand:

• Political awareness and activism in different countries. 
• Political sentiment towards ethical sourcing strategies and conformance to “Fair Trade” practices.
• The possibility of war or conflict in regions that have Starbucks locations.
• Sanctions and diplomatic relations between the U.S. and other countries.
• Economic recessions or booms in specific countries.
• Fluctuating exchange rates impacting supply chain activities.
• The average income of Starbucks customers.
• Operational costs in different cities, states, and countries.
• Consumer behavior in response to economic conditions.
• Changing consumer preferences and buying habits around coffee.
• Specific preferences based on region, culture, and history.
• Age groups of people who drink Starbucks coffee.
• Changing work patterns (remote vs location-based work).

Technological

• The increased use of at-home coffee brewing equipment.
• The shift towards digital avenues of marketing and interaction.
• The growing use of e-commerce globally.
• Technological innovations in coffee agriculture and processing methods.
• Infringement on the Starbucks logo, color scheme, and other copyrights.
• Varying tax obligations in different regions.
• Customs, tariffs, and import requirements.
• Compliance with specific workplace legislation.
• Health and safety regulations in factories, stores, and other facilities.

Environmental

• Farming and processing impacts, such as water usage and carbon footprint.
• The effect of single-use packaging, such as paper and plastic cups, and straws, on the environment.
• Extreme weather and natural disasters in areas where Starbucks coffee is farmed.

📚 Recommended reading: 

Strategy study: How Starbucks Became Everyone's Cup Of Coffee

What Are PESTLE Advantages?  

• Provides additional context for business direction and strategic planning .
• It helps strategic planners quickly identify external threats and opportunities.
• Organizations can use PESTLE to better understand the impact of different risks on their business strategy.
• It can be combined with other strategic analyses , such as SWOT, to accurately identify an organization's position in the market.

What Are PESTLE Disadvantages?  

• If efforts aren’t focused, research and data collection can become overwhelming.
• PESTLE shouldn’t be considered a one-off task and should be done repeatedly.
• External factors can rapidly change, meaning a PESTLE analysis has a limited validity window. 
• The accuracy of PESTLE relies on the quality and amount of data available to an organization.

PESTLE vs SWOT Analysis: How To Use Both?

Take your strategic analysis further by combining PESTLE with a SWOT analysis . SWOT can help interpret the data from a PESTLE analysis by contextualizing it with your business’s unique strengths and weaknesses.

Both analytical frameworks have their place in strategic planning. However, using both will give a complete picture of your business’s position, potential, and risks.

Turn Insights Into Results With Strategy Execution Software 🚀

A PESTLE analysis can identify macroenvironmental factors that can impact organizations. But strategic planners need more than analytics and insights to execute a business approach that will actually have an impact.

And, if your processes are fragmented, uncoordinated, and stuck in the planning phase, you won’t reap the full benefits of PESTLE or any strategy planning tool .

That’s where Cascade comes in. Cascade’s strategy execution platform is purpose-built to help businesses spend less time planning and more time executing what matters.

Get started for free or schedule a call with a Cascade expert to see how you can hit more goals and deliver business results faster. 

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The PESTEL Analysis for Consulting

As aspiring consultants entering the dynamic world of consulting, it is crucial to arm yourselves with effective tools and frameworks to navigate the complexities of the business landscape. A powerful tool that aims at the macro-level is the PESTEL analysis, which enables consultants to assess and understand the external factors that impact organizations .  This article delves into the intricacies of the PESTEL analysis, its six key sections, and provides an example of how it can be applied in the consulting industry.

Understanding the PESTEL Analysis 

PESTEL is an acronym that stands for Political, Economic, Social, Technological, Environmental, and Legal factors. It is a framework used to analyze and monitor external macro-environmental factors that can have a significant influence on organizations and industries.

The following list explains each of the factors and gives you an overview of what you need to keep in mind:

• P olitical Factors - Navigating the Political Landscape: Political factors encompass the political environment in which an organization operates . This includes government policies, regulations, political stability, trade policies, taxation, and legal frameworks. By assessing these factors, consultants can gain insights into potential opportunities and risks associated with political changes and government decisions.
• E conomic Factors - Assessing Economic Conditions: Economic factors focus on the economic environment and its impact on organizations . This includes factors such as economic growth, inflation rates, interest rates, exchange rates, unemployment levels, and consumer spending patterns. By analyzing these factors, consultants can understand the economic landscape, identify market trends, and assist clients in making informed business decisions.
• S ocial Factors Understanding Societal Influences: Social factors delve into the social and cultural aspects that shape consumer behavior, market trends, and business operations. Factors such as demographics, cultural norms, lifestyle changes, consumer attitudes, and social values come into play. Consultants can leverage this analysis to help clients understand customer preferences, target specific market segments, and align their strategies with societal shifts.
• T echnological Factors - Embracing Technological Advancements: Technological factors revolve around the advancements and innovations that impact industries and organizations . This includes technological infrastructure, research and development, automation, digitalization, disruptive technologies, and intellectual property. By staying abreast of technological changes, consultants can assist clients in leveraging emerging technologies, optimizing operations, and driving innovation.
• E nvironmental Factors: Embracing Sustainability and Climate Considerations: Environmental factors encompass the ecological and environmental aspects that organizations must address. This includes sustainability practices, climate change, environmental regulations, renewable energy, waste management, and resource scarcity. By incorporating environmental considerations into their strategies, organizations can meet societal expectations, mitigate risks, and create sustainable business models.
• L egal Factors - Navigating the Legal Landscape: Legal factors encompass the legal framework and regulations that organizations must adhere to. This includes employment laws, consumer protection regulations, intellectual property rights, health and safety standards, and industry-specific regulations. By understanding the legal landscape, consultants can guide clients in compliance matters, identify legal risks, and support them in developing strategies that align with the legal framework.

Applying PESTEL Analysis in the Consulting Industry 

Let's consider a case where a consulting firm is assisting a global technology company in entering a new international market. By conducting a PESTEL analysis, the consultants can gain insights into various aspects:

• P olitical:  They assess the political stability, trade policies, and regulations of the target market , providing crucial information for market entry strategies.
• E conomic:  They analyze the economic conditions , including GDP growth, exchange rates, and consumer spending patterns, to evaluate the market's potential and economic risks.
• S ocial:  They identify cultural nuances, demographic trends, and consumer preferences , enabling the client to tailor their products and marketing strategies accordingly.
• T echnological:  They assess the technological landscape, including infrastructure and digital readiness , to guide the client in adopting suitable technologies and addressing potential challenges.
• E nvironmental:  They evaluate environmental regulations, sustainability expectations, and market demand for eco-friendly solutions , enabling the client to align their operations and offerings accordingly.
• L egal:  They analyze the legal framework, including compliance requirements and intellectual property protection, assisting the client in navigating legal complexities and ensuring regulatory adherence.

The PESTEL analysis serves as a vital tool for consultants in understanding the external factors that shape industries and organizations. By analyzing the political, economic, social, technological, environmental, and legal landscape, consultants can provide valuable insights to clients, facilitate informed decision-making, and drive strategic success . As graduates embarking on a consulting career, mastering the PESTEL analysis will prove invaluable in helping clients thrive in an ever-evolving business environment.

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Tesla Inc.’s PESTEL, Five Forces, SWOT Analyses Case Study

• To find inspiration for your paper and overcome writer’s block
• As a source of information (ensure proper referencing)
• As a template for you assignment

Introduction

Porter’s five forces analysis, swot analysis, works cited.

Tesla, Inc. is an American manufacturer that primarily focuses on the production and development of electric cars, solar panels, and devices for energy storage. In this paper, PESTEL, Five Forces, and SWOT analyses will be provided to evaluate the company.

The PESTEL (“Political, Economic, Social, Technological, Environmental and Legal”) analysis focuses on the macro-environmental factors that can influence the company, its strategic management, and business (Goncharuk 37). The PESTEL analysis is a part of the external analysis of the company because it analyzes external factors that need to be considered by the executive team (Goncharuk 37).

Political Factors

The government policies strive to provide more programs and technologies that will reduce the adverse influence of carbon emissions on the environment. Production and manufacture of electronic vehicles are supported by the American government with the aid of various programs (U.S. Department of Energy). Therefore, Tesla, Inc. has the opportunity to use government subsidies to improve its performance in the market.

Economic Factors

The popularity of electric vehicles, sustainable environmental strategies, and renewable energy devices are growing. It is reasonable to assume that Tesla Inc. will be able to make its products more attractive to the customers. Nevertheless, as vehicles are considered as a major investment, any economic crises and issues might lead to decreased sales. Therefore, economic instability is a direct threat to Tesla Inc.

Social Factors

Environmental considerations and issues become more alarming for consumers, which implies that greener vehicles and devices that correspond with the “healthy” lifestyle will become more popular during the next decades. The use of alternative energy sources is encouraged not only by the public but the environmental and official governmental organizations as well (Da Rosa 19). Therefore, these trends present opportunities for expansion.

Technological Factors

The main issues with technology highly crucial for Tesla Inc. are batteries’ sustainability and infrastructure for electric vehicles. First of all, batteries for electric vehicles are still too expensive to be produced for the mass market. This issue is a threat to Tesla Inc.’s expansion in the local and global markets. Second, although the USA provides the infrastructure for electric vehicles, many of the stations still need to be built to cover clients’ needs. Therefore, Tesla, Inc. is dependent on the development of infrastructure for electric vehicles.

Ecological Factors

Ecological factors present several opportunities for the company. First, the public concern with climate change positively influences the promotion of electric vehicles that the company produces. Second, the government’s focus on climate change and renewable energy provide the company with additional support in addressing environmental programs. Third, the company’s mission perfectly aligns with the existing trend towards low-carbon lifestyles and environmental awareness.

Legal Factors

The main legal factor that influences the sales and distribution of products is the ban on direct sales from the company to the client. Restrictions and bans are used as a tool to protect automobile dealers, although it is also possible that these legislations are passed because of the dealers’ lobby in some states (Stolze 293). Nevertheless, the company has the opportunity to expand itself to the foreign markets (Europe and Asia), where such restrictions are less common. Furthermore, not all states in the USA support these restrictions.

The Five Forces analysis was developed by Michael Porter. It is based on five factors: competitive rivalry, bargaining power of buyers, bargaining power of suppliers, the threat of substitutes, and the threat of new entrants (Porter and Heppelmann 67).

The rates of competitive rivalry in the industry are high. Tesla Inc. has to compete with both electric and non-electric car manufacturers. Although there are not many major players, aggressive promotion and innovations of other enterprises can adversely influence the company’s ability to compete.

The low switching costs in the industry are a serious factor because it allows customers to choose between products provided by other companies (strong force). Nevertheless, there are few substitutes for Tesla Inc.’s products, which reduces customer’s bargaining power. It should also be noted that customers buy electric cars in a very limited amount: one, two, possibly three cars per purchase. A low volume of purchases also reduces customer’s bargaining power.

The bargaining power of suppliers is moderate because Tesla Inc. cooperates with several suppliers that only partially control the distribution of their products (Mangram 181). Nevertheless, one should also point out that the company highly relies on the supplies of other companies because it cannot continue the manufacture of products without these supplies. Some of the suppliers are major players in the industry, while others are not, which moderates the force.

The threat of substitutes is high because of the low switching costs: customers might decide to purchase a car from another manufacturer because the difference in costs is not crucial. Nevertheless, there are not many substitutes that can compete with Tesla Inc. in all factors, which weakens the threat.

The threat of new entrants is low because the industry has high entrance levels, demands serious investment, and the business in the industry is quite costly. Therefore, the company may see the threat of new entrants as low force.

The SWOT analysis reviews the strengths, weaknesses, opportunities, and threats that the company faces (Goncharuk 36).

The use of innovation and modern technology is a definite strength of the company. It is one of the most famous manufacturers of electric vehicles in the world. What is more, these vehicles are highly innovative and include all the technologies that customers might demand. The next strength of Tesla Inc. is the high brand awareness that allows the company to be more competitive in the market. Customers are more prone to rely on a recognizable, visible brand than on a newcomer. At last, the company takes a strict approach to the control of the manufacture, which results in high-quality products.

The main weakness of the company is the high cost of its products. Many customers cannot afford these products, and the company has to focus on a limited circle of clients. Furthermore, this weakness also does not allow Tesla Inc. to expand and raise brand awareness in other countries, including the developing ones. Tesla, Inc. is mostly present in the American market, which adversely influences its ability to promote products in Europe and Asia.

Opportunities

The opportunities for the company are linked to its weaknesses. The main opportunity is to become present in the global market by promoting the products in markets that are not located in the USA. Global expansion will possibly lead to the expansion of supply chains as well (Mangram 186).

The threats were discussed above: instabilities in the economy, competitors, and legal issues linked to the dealership can adversely influence the distribution and sales of the products. It is evident that clients will prefer not to purchase expensive products during economic crises, and competition among rivals will increase. Furthermore, dealership legislations can also lead to problems with sales because customers will have limited support from the company (only via online resources in some states).

Da Rosa, Aldo Vieira. Fundamentals of Renewable Energy Processes . Academic Press, 2012.

Goncharuk, Anatoliy G. “Banking Sector Challenges in Research.” Journal of Applied Management and Investments , vol. 5, no. 1, 2016, pp. 34-39.

Mangram, Myles E. “The Emperor’s New Clothes: A Framework for Market-Based Management at Tesla Motors.” Journal of Strategic Management Education , vol. 8, no. 3, 2012, pp. 179-204.

Porter, Michael E., and James E. Heppelmann. “How Smart, Connected Products Are Transforming Competition.” Harvard Business Review , vol. 92, no. 11, 2014, pp. 64-88.

Stolze, Eric D. “A Billion Dollar Franchise Fee? Tesla Motors’ Battle for Direct Sales: State Dealer Franchise Law and Politics.” Franchise Law Journal , vol. 34, no. 3, 2015, pp. 293-309.

U.S. Department of Energy. “ATVM Loan Program.” energy.gov, n.d.. Web.

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IvyPanda. (2020, September 10). Tesla Inc.'s PESTEL, Five Forces, SWOT Analyses. https://ivypanda.com/essays/tesla-incs-pestel-five-forces-swot-analyses/

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Bibliography

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PESTEL Analysis

PESTEL is a strategic analytical tool used to assess external factors affecting businesses. PESTEL acronym stands for political, economic, social, technological, environmental and legal factors impacting companies. PESTEL has recently evolved from PEST analysis once intensifying forces of globalization and intensifying forces of competition in the marketplace coupled with other set of factors increased the importance and potential impact of environmental and legal factors on businesses.

The majority of resources explain the application of PESTEL assuming their audience is business owners. This article adopts an alternative approach and below is the explanation of the framework for business students who have been assigned by their educational institution to conduct PESTEL analysis.

Application of PESTEL as a part of your assignment can be facilitated via the following steps:

Step 1: Data Collection

If you have a choice, you should select a multinational corporation as a case study company to conduct PESTEL analysis due to the availability of relevant data about famous multinational enterprises. Company annual report along with official website of the company is the most comprehensive source of data needed to conduct PESTEL analysis. Additionally, you can purchase a company report on this portal. The portal offers reports about the most famous multinational enterprises and repots contain PESTEL analysis of respective companies. Online versions of the most popular business journals and magazines such as Wall Street Journal, The Economist and Inc. are also effective sources data to be used for your analysis.

Step 2: Deciding which factors to discuss

There is a vast range of political, economic, social, technological, environmental and legal factors that effect the company you have chosen as a case study. You do not have the space to discuss all of these factors in your paper; therefore, you will have to choose the most significant factors for your analysis. Unfortunately, there is no general rule or a universal recipe as to what factors to discuss.

The table below illustrates the most significant factors that affect business organizations listed in order of importance:

It is important to note that although in the table above factors affecting businesses are listed in order of importance, the patterns of data collected during the previous step may indicate that certain factors have the most significant impact compared to other factors on your chosen company for each category of factors. Your task is to determine specific factors under each category that proved to have the biggest impact on the business, appreciate the nature of the impact and understand the consequences.

Step 3: Writing

Depending on the total word count requirement specified in your assignment instructions, you will need to discuss about 4-5 factors under each category. The knowledge about the total word count requirement is important in a way that you need to discuss each category of factors and each specific factor with more or less equal numbers of words. One of the common and effective ways of conducting PESTEL analysis is to present the list of factors with the most significant impact on the form of table, similar to the table above, followed by discussion of each individual factor listed in the table.

To assist with your assignment, you can find samples of PESTEL analysis here .

5 Real-Time PESTLE Analysis Examples for Your Comprehension

Table of Contents

Do you want to write a PESTLE analysis case study assignment? Are you confused about how to write a PESTLE Analysis for large corporations? Cool! In this blog post, for your better understanding, we have provided a PESTLE Analysis Example of the top five multinational companies. Go through that real-time analysis because it would be helpful for you in writing your assignments.

Before, we look at the examples; first let us see what PESTLE analysis means.

What is PESTLE Analysis?

PESTLE Analysis, also known as PEST Analysis, is a crucial marketing concept that examines the external key factors that have an impact on an organization. These factors include political, economic, social, technological, legal, and environmental factors. PESTLE Analysis is typically performed by businesses to monitor their operational environment or to prepare for the launch of a new product, service, or project.

A more comprehensive version of the SWOT analysis is the PESTLE analysis. Especially, by utilizing the PESTLE analysis methodology, entrepreneurs and business organizations more frequently determine the future scope of action, develop measures for strategic management, and also make appropriate decisions for their company.

PESTLE Analysis Example

Here, we have presented a PESTLE analysis case study of the top five businesses to assist you in comprehending the method. If you are required to complete a marketing assignment, you can also use the PESTLE analysis example for businesses that are listed in this post to receive a high grade.

The top 5 companies that are covered in this blog post are

Amazon PESTLE Analysis Example

Amazon is an American multinational company that focuses on e-commerce, digital streaming, cloud computing, and artificial intelligence. Despite having a stable place in the market, this technology company deals with many competitors in the market.

With the below-mentioned PESTLE analysis example of Amazon, let us identify the drawbacks of the company and also study the macro-environment factors that affect the company’s overall performance.

Political factors

• The cybersecurity of the government and the smooth e-commerce operation favor Amazon’s business.
• Amazon has detailed knowledge of government intervention and the scope of its business growth in the industry.
• The company’s online retail business has gained popularity because of governmental encouragement. But still, Amazon’s growth is at risk in the retail field due to tough competition from other big brands that are into online retail.

Economic factors

• In Asian countries, tax regulation is the only constant challenge Amazon faces frequently.
• In developing countries, the economic stability of Amazon has growth opportunities.
• The offers announced by Amazon attract consumers even when they don’t search for anything expensive.

Social factors

• In order to replace employees, Amazon depends more on technology. But as a result, it may lead to a decrease in job opportunities and thus can be a social threat to the company.
• The growth in online shopping leads to an increase in consumerism. One of the major reasons for the popularity of this brand is the easy availability of all products at the doorstep delivery for people of all age groups.

Technological factors

• Amazon uses creative and innovative ways to reach its customers. Still, they are exploring new ways of shipping to deliver the packages.
• The website and mobile applications make it easier for users to access the services of Amazon.
• The company has introduced a live chat option for easy accessibility. So, to ensure a better customer experience and for technological advancement, the company has planned to hire more people.

Legal factors

• When expanding its services worldwide, Amazon works as per the rules and regulations of all countries by focusing on cybersecurity and the safety of consumers.
• The company’s efforts on environmental protection regulations have strengthened its brand image. Besides that, the company also faces challenges from its competitors because of the changes in its export and import policies.

Environment factors

• Amazon has a high level of interest in environmental programs.
• The company’s interest in the promotion of business sustainability, waste management strategies, and the low-carbon lifestyle enhances its growth opportunities.

This PESTLE analysis of Amazon shows the authority of the brand in the industry. By concentrating on all the highlighted external factors that affect the business, the brand can still maintain to be in the top place in the online retail market.

Netflix PESTLE Analysis Example

Netflix is a popular over-the-top (OTT) content platform that has its headquarters in Las Gatos, United States. The streaming platform is offering its service in many countries across the globe. In recent times, people rely more on the OTT platform like Netflix for entertainment and binge-watch TV shows, movies, and web series during the weekends.

Here, let us explore the factors that affect the performance of Netflix through a PESTLE analysis example.

• Censorship is one of the major issues for Netflix. Mainly because of its content, the Netflix streaming platform is prohibited in some biggest economies countries like China.
• Because of government norms, Netflix is restricted from operating in many countries.
• Netflix faces a considerable loss because in some countries, due to government rules and policies, the entire content of Netflix will not be available to the viewers.
• In the digital era, a large set of audiences moved from traditional TV to OTT like Netflix. So, in a few countries, the telecom giants have increased the price of the internet causing a threat to the business model of Netflix’s streaming service.
• In some countries, the company is taxed similarly to traditional media.
• Netflix’s economy is affected due to the fluctuation in the exchange rate when buying other production companies’ content. But it still manages to earn profit from its original content like movies, web series, and TV shows.
• A hike in the subscription price is one of the serious concerns raised by loyal customers of Netflix. The viewers will be satisfied only if the streaming platform offers high-quality content that is worth the money.
• As multiple streaming platforms have cropped up, Netflix is facing increased competition with its rivals because of the high-quality content that is being released by the other streaming service providers.
• Netflix’s profit is affected because of content piracy.
• The company’s friendly work environment favors them.
• Netflix CEO’s generosity and kind nature have attracted a lot of people because they contribute 2% of their annual income to black support and also extend their support to students from low-income families.
• Flexibility is Netflix’s major benefit. The company always sails with the latest trends by encouraging users to view the live streaming on mobile.
• The user can watch a high-quality video on Netflix by spending minimal data.
• Netflix uses a content rating system with a set of algorithms.
• For language translation, Netflix uses Hermes, the automatic translating software.
• The company has a conflict with its customers because of the sudden increase in subscription prices. Some dissatisfied customers have also taken legal action against the company regarding it.
• Netflix regularly faces issues with a few customers because of copyright claims. Instead of blocking other country users, Netflix should find a suitable strategy to resolve the issue.
• Netflix has recently joined hands with the EPA and expressed its willingness to shift to renewable energy.
• For a sustainable future, it reduces the use of paper in the office.
• As it operates online, the business doesn’t impact more on the environment. But the electricity consumption is heavy.

Netflix is operating in nearly 190 countries with more than 195 million customers. The remote macro-environment factors create more impact on the company. By using this PESTLE analysis of Netflix, the company’s scope of growth in the potential market can be identified. By clearing all the shortcomings caused by external factors, Netflix can generate more profitability by attracting a lot of viewers.

Starbucks PESTLE Analysis Example

Starbucks is one of the biggest multinational chains that serve the coffee industry. The company has its headquarters in Seattle, Washington, and it operates its business in various countries of the world. When it comes to coffee culture in the world, Starbucks represents itself on behalf of the USA. However, the company also suffers from some external factors.

Discussed below is the PESTLE analysis example of Starbucks.

• During the global expansion of the company, as per the recent trend of regional integration with external factors, many countries had bureaucratic red tape that made the business expansion of the company more difficult.
• As the corporation tax of the US coffee chain decreased by 60% during the Brexit event, the growth of the company was affected.
• The profit of Starbucks diminished because of the recession of the present global economy, and hence the customers have been convinced to consume cheaper products.
• The profitability of the company also faces stress due to a rise in the operational cost along with the labor cost.
• Other economic factors that affect the company are taxation level, currency exchange rate in the local market, and the economic environment of different local markets.
• One of the biggest challenges in the socio-culture of the company is that the authorities sacrifice the company’s product quality when offering cheaper products to the consumers.
• Because of the ‘green’ and ‘ethical chic’ aspects, the environmental and social costs also fret the brand.
• When socio-culture is considered, circumstances like a change in lifestyle, change in work pattern, customer preferences, change in values, and change in family pattern also create an impact on the brand.
• Starbucks provides technology-based services in partnership with Apple. Especially, to attract customers through digital apps, the company offers discount coupons for the customers who operate the Starbucks apps using Apple and mobile phones.
• As internet services are important to customers, Starbucks provides Wi-Fi facilities to its customers in their outlets. It is a value-added service to the brand.
• For easy payment of bills through digital mode, the company has enabled Mobile Payment.
• In order to provide top-quality coffee to consumers, the company is focused on the implementation of agriculture, biotechnology, and other innovative technologies.
• The company is required to follow the laws and regulations of its home country as well as in the countries where it operates its business and purchases raw materials.
• Regarding the consumption of caffeine products offered by Starbucks, the health authorities also have policies and regulations.
• The company should adhere to the guidelines of the health authority with respect to maintenance.
• Other legal factors that Starbucks concentrates on are the trade regulations of their operational countries and the regulations for the licensing of their appropriate industry.
• The environmental disaster that arises during coffee harvesting is considered to be one of the serious environmental threats that may affect the company.
• Global warming is another different kind of environmental issue that impacts the brand at the global level.
• Starbucks can handle all the environmental issues and their impacts by following the environmental guidelines.

At the global level, the American Multinational Coffee chain Starbucks is well-known for its high-quality products. The brand has a unique set of customers, and it may also have an effect on the buyers that belong to both the lower and middle tiers of society. Starbucks can continue to be a leading brand if it concentrates more on the external factors that affect the business.

Uber PESTLE Analysis Example

Uber is a fast-growing taxi service provider offering its taxi services in the majority of countries in the world. It has earned many valuable customers because of its easy accessibility and the taxi-sharing facility. In recent years, the company has grown exponentially in many countries and also at the same time has earned outrage from its customers.

Now, let us have a look at the PESTLE analysis example of Uber.

• Uber has been a part of many controversies because they have not made clear regulations.
• An ambiguity exists among the users regarding the insurance policy. More specifically, when an accident occurs during the ride of a customer, the company is not in the position to provide a valid answer on who is accountable, the driver or the company.
• As Uber is not following domestic laws, many Asian countries are planning to ban the company.
• In some countries, the brand is under heavy scrutiny by government officials.
• The company works in the sharing of physical and intellectual resources.
• Customers find it easy to avail of the taxi service Uber through apps. When compared to other private taxi services, Uber is cheaper, and it takes people to their desired locations.
• Since its establishment, the company has been growing rapidly beyond the imagination of economic experts. As Uber Taxi faces more competition, it results in the ban of their services in some countries.
• When compared to other leading taxi operators, Uber has faced most of the rage.
• In certain countries, many people reach out to Uber for new job opportunities. Actually, it was not evident whether Uber provides employment or takes away people’s employment opportunities.
• Uber has a name and fame among their customers and that is the major reason why they always focus on giving the best service.

Social Factors

• The mobile application of Uber is easy to use and accessible.
• The users can easily connect with the drivers by just giving their pick-up and destination location.
• As Uber offers premium services at a cheaper rate, customers across the globe are satisfied with the company.
• Uber has invested a lot in doing research and updating its technology to get indirect and direct benefits from it.
• The company wisely uses social media and electronic media for promotion.
• The application Uber is technically advanced, and with the Uber app, users can estimate the trip charge, weather, and traffic conditions.
• The Uber app is one of the customer-friendly apps with which customers can pay for the ride digitally through cash methods.
• As discussed above, Uber is currently facing many legal problems because of unpredicted reasons.
• The company should be alert to adapting labor laws, domestic laws in the field of technology, and employee safety rules.

Environmental factors

• There is no study conducted on the environmental impact created by Uber.
• There is speculation that Uber plays a negative role in traffic and fuel consumption.
• Also, there is an active argument that Uber is discouraging the use of public transportation among people and is causing traffic congestion.

In general, several controversies intervened and stopped the business growth of Uber. But, in order to survive longer on the field, Uber has to resolve all the issues in various countries and update their service as per the modern-day needs of the users.

Adidas PESTLE Analysis Example

Adidas is one of the popular multinational companies which supplies sports apparel and shoes. The company got its name after its founder, Adolf Hassler. Adidas is a German-based company that is currently a leader in the sports apparel market. The company is surviving in the industry by tackling all the challenges.

To understand more about the performance of the company and the factors affecting it, let us have a quick glance at the PESTLE analysis example of Adidas.

• Adidas is one of the few companies that have faced many risks and civil turmoil. But it moves forward even after the huge political changes.
• The taxation system in the operational countries affects the company.
• Other political factors that affect the company’s work and the delivery of products are war, terrorism, national movements, etc.
• The progression rate and the company’s advancement are affected due to the fluctuations in the market and the instability in the global market.
• Till 2005, the company has faced many failures and difficulties in their economy
• The economic elements that have ruined the profit generation of Adidas are taxation, unemployment, inflation, and per capita income.
• As the potential customers of Adidas are athletic and health-conscious people, such factors create a great impact on purchase preferences.
• The company is still not able to survive in Islamic countries. Hence, they should frame a strategy suitable to the Islamic culture and promote all of its products including shoes and other accessories.
• The biggest plus of Adidas is that it manufactures products and sports apparel as per the current trends disregarding religion, age, and sex barriers. So, all types of customers in society use their products.
• To climb up the ladder of success, companies like Adidas should adopt the latest and modern technology.
• Adidas has customers from all over the world because of its online marketing strategy.
• The company always stays a step ahead of its competitors because it invests more in research and development to create a unique identity for its brand in the market.
• Adidas retains the trust of its customers at the global level because of its high reputation and the brand value it possesses.
• Since Adidas is operating in various countries, the company’s management should be aware of restrictions, taxation methodologies, and domestic laws in each country.
• The company has claimed that it follows an industrial process that is harmless to nature and ecology.
• Adidas never produces any products that are restricted.
• The company uses modern technologies to check the emission of organic and volatile compounds that are harmful to the ecology.
• The company’s attitude towards environmental protection has helped it to enhance its brand image.

From this PESTLE analysis, it is evident that Adidas has a great reputation in the international market. But to move forward and cross more milestones, the company should set a high aim and explore new things in their territory.

Finally, we have reached the end of the blog post. Hopefully, by now, you will have gained a better understanding of how to prepare a PESTLE analysis for a company. In case, you are asked to write a marketing assignment on PESTLE analysis, follow the details as specified above. However, if you find it difficult to do a PESTLE analysis assignment, then reach out to us immediately.

1. Explain briefly about PESTLE analysis.

PESTLE analysis is a framework to analyze the macro-economical factors that can influence an organization’s performance. 6 key factors (Political, Economic, Sociological, Technological, Legal, and Environmental) are analyzed here, and based on this, strategies are made.

2. What is a PESTLE analysis example?

Analysis of labor cost of a particular area, economic trends, international exchange rates, and government policies are some examples of a PEST analysis.

3. Why PESTEL analysis is important?

With the help of PEST analysis, one can figure out the potential threats that can come from external sources. It helps the management to strategize the economic, marketing, and sales strategies in a better way.

4. What are the 6 PESTEL factors?

The 6 factors of PESTEL are Political, Economic, Sociological, Technological, Legal, and Environmental.

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ORIGINAL RESEARCH article

Impact of regional pest control on pesticide application in china from a perceived risks perspective.

• 1 Business School, Linyi University, Linyi, China
• 2 School of Economics and Management, Suqian University, Suqian, China

The Regional Pest Control program represents a strategic intervention aimed at optimizing pesticide use in crop production, thereby mitigating the environmental impact of agricultural non-point source pollution from pesticides and fostering the development of high-quality agriculture. This study examines the influence of farmers’ perceived risks on the adoption of the Regional Pest Control program and evaluates its effect on pesticide application across a nationally representative dataset from Heilongjiang, Jiangsu, Anhui, Hubei, and Sichuan provinces. To account for unobserved heterogeneity, an endogenous switching regression model was employed. The findings reveal that farmers’ perceived risks associated with the Regional Pest Control program significantly deter its adoption. Furthermore, the program has been effective not only in reducing the frequency of pesticide applications but also in increasing the usage of pesticides with lower acute toxicity levels. Notably, the impact of the Regional Pest Control program on pesticide application demonstrates considerable variation in accordance with farmers’ risk attitudes.

1 Introduction

Over the past four decades, China’s economy has experienced rapid growth, leading to significant advancements in agriculture and a substantial increase in agricultural production. However, the management of pests and crop diseases has predominantly relied on pesticides, leading to an escalation in their excessive use ( Xingdong and Xuexi, 2019 ; Narayanan et al., 2024 ). Between 1990 and 2016, China’s pesticide application surged from 0.733 million tons to 1.74 million tons, marking an increase of 1.007 million tons and an average annual growth rate of 3.87%. Concurrently, the average annual growth rate of pesticide application per hectare of farmland in China was 2.11%, in contrast to the downward trend observed during the same period in developed countries such as Britain, France, and Japan. Furthermore, even in Vietnam, a developing country, the amount of pesticide applied per hectare decreased by 24% ( Ngo-Hoang, 2024 ). Notably, the intensity of pesticide application per hectare in China is significantly higher, being only 40% of the global average ( Ke, 2017 ). The excessive use of pesticides on cultivated land and in water bodies has severely affected the environment and consumer health, posing challenges to the export of agricultural products from China ( Ren et al., 2023 ; Xu et al., 2023 ).

The academic community discusses the increasing focus on factors influencing pesticide use, especially the mechanisms behind farmers’ application decisions. It presents two perspectives: one posits that farmers, assuming a risk-averse stance, may over-apply pesticides to mitigate yield loss risks from pests and diseases ( Skinner et al., 2016 ; Hou et al., 2020 ). Another perspective addresses the trust factor in agricultural product consumption and the issue of information asymmetry, leading to excessive pesticide use due to the dispersed smallholder farming structure in China and high regulatory costs ( Fabregas et al., 2019 ; Zhao et al., 2020 ). It also considers farmers’ individual characteristics, agricultural training, off-farm work, and cooperative membership ( Belay et al., 2017 ; Ning et al., 2024 ; Peng et al., 2024 ). Additionally, the role of biotechnologies, such as genetically modified organisms (GMOs), in reducing pesticide usage and mitigating agricultural non-point source pollution is highlighted, emphasizing the potential for GMOs to enhance food quality and safety ( Huang et al., 2008 ; Gbashi et al., 2021 ).

Existing research has contributed to our understanding of the micro-mechanisms driving farmers’ pesticide applications, aiding in efforts to reduce pesticide use and mitigate agricultural non-point source pollution. However, several areas within the current body of research on this topic in China warrant further exploration. Firstly, there is a lack of compelling evidence to demonstrate significant differences in risk preferences among farmers globally. Therefore, the utility of risk preference as an explanation for the higher pesticide application rate per hectare of farmland in China compared to other countries remains questionable. Secondly, while the academic community has suggested interventions such as enhanced government regulation, agronomic training, and the issuance of deterrent signals to counteract farmer opportunism in pesticide application ( Kang et al., 2015 ), the prevailing industrial organization model of smallholder farming in China inherently limits the effectiveness of these policy measures. Lastly, although biotechnological advances, such as genetic modification, have been shown to reduce pesticide usage, their adoption and application face constraints, particularly in the realm of consumable agricultural products, due to ongoing safety debates in China. A robust agricultural ecological environment is essential not only for achieving the objectives of rural revitalization and agricultural supply-side structural reform but also for fostering high-quality agricultural development in China. Both government and academic sectors are giving increasing attention to the challenge of addressing agricultural non-point source pollution through agricultural social services. This focus aligns with the broader push for agricultural supply-side structural reform and the implementation of the rural revitalization strategy, embedding China’s agricultural production more deeply within the framework of the agricultural socialized service system. The evolution of this system is a critical element of the agricultural supply-side structural reform initiative.

To address the issue of excessive pesticide use in China’s agriculture, enhance the agricultural ecological environment, and promote high-quality agricultural development, the Ministry of Agriculture initiated the Regional Pest Control program in 2008. This program involves socialized crop pest control services where organizations provide paid pest control services to farmers. By employing the unified mode of epidemic situation prediction, control time, control pesticide and spraying construction, these services aim to reduce pesticide use while ensuring agricultural output ( Chaoan, 2011 ). By the end of 2016, the Regional Pest Control program’s socialized services had extended to 35.5% of the country’s crop area ( Fan and Yunyun, 2023 ). Nevertheless, a scientific evaluation is required to ascertain whether the program has succeeded in decreasing pesticide use and increasing the use of low-toxicity, efficient pesticides. Internationally, scholars have thoroughly examined the role of different service organizations within the agricultural socialization service system and its effects on organic agriculture and sustainable agricultural growth ( Carney, 1995 ; Labarthe and Laurent, 2013 ; Pedersen et al., 2019 ; Wuepper et al., 2021 ). Conversely, Chinese research on the link between agricultural socialized services and pesticide application, particularly the impact of the Regional Pest Control program on agricultural non-point source pollution from excessive pesticide use, is less developed. Only Ying Ruiyao and Bin (2017) utilized the Propensity Score Matching (PSM) method to explore the Regional Pest Control program’s effect on pesticide application intensity ( Ruiyao and Bin, 2017 ). However, the econometric models used in existing studies have not fully addressed the endogeneity issue arising from self-selection, thus failing to accurately capture the program’s real impact on pesticide application. Moreover, while the PSM method can correct for self-selection errors due to observable farmer heterogeneity, it cannot account for unobservable heterogeneity (e.g., farmers’ skills, risk preferences), leading to potential “hidden bias”( Ma and Abdulai, 2016 ), which may skew the analysis results. Furthermore, pest control represents a high-risk aspect of agricultural production. Previous research has inadequately considered how farmers’ risk perception of the Regional Pest Control program influences their adoption behavior and the differential impact of the program on pesticide application among farmer groups with varying risk preferences.

This study applies the Endogenous Switching Regression (ESR) model to address sample selection bias resulting from both observable and unobservable farmer heterogeneity ( Lokshin and Sajaia, 2004 ), analyzing the Regional Pest Control program’s effect on pesticide use in China. It significantly enhances the understanding of the role of farmers’ risk perception in adoption behavior, addresses endogenous issues arising from self-selection in decision-making, and evaluates the program’s impact across different groups of farmers’ risk preference. This multifaceted approach offers deeper insights into behavioral drivers and program effectiveness, contributing to more nuanced policy development in agricultural pest management.

2 Theoretical framework

Farmers, when deciding to adopt the Regional Pest Control program, face multiple constraints related to resources, information, and technology accessibility, and exhibit heterogeneity in their responses. If the Regional Pest Control program only result in reduced pesticide use without offering benefits that compensate for their costs, farmers are unlikely to adopt such services. Thus, farmers’ adoption decisions can be analyzed from a constraint optimization perspective: they will adopt the Regional Pest Control program only if the perceived benefits exceed the costs.

N B 1 indicates the utility of farmers’ adoption of Regional Pest Control program, while N B 0 represents the utility of farmers not adopting Regional Pest Control program. E N B ∗ indicates the expected utility of farmers adopting Regional Pest Control program. Under the framework of random utility analysis, only when the expected net utility of Regional Pest Control program adopted by farmers is positive, that is E N B ∗ > 0 , or E N B 1 > E N B 0 , N B ∗ = N B 1 − N B 0 rational farmers will choose to adopt it. Given that the net utility derived from adopting the Regional Pest Control program is intangible and hence unobservable, it can be conceptualized as a latent variable. This latent variable encompasses the individual characteristics of farmers, including observable attributes such as educational attainment, their perceptions of the risks associated with adopting the Regional Pest Control program, and other unobservable factors. These are integrated with a function of independent and identically distributed error terms to model the decision-making process accurately.

Compared to individual pest control efforts by small-scale farmers, the Regional Pest Control program significantly mitigates the inefficiencies inherent in such decentralized approaches, including the inadequate capacity to manage large-scale disease and pest outbreaks, the non-specific application of pesticides, and the tendency toward excessive pesticide use. The advantages of the Regional Pest Control program in pesticide application management manifest in several key areas: First, Resource Advantage for Prevention and Control. The limited access of farmers to technical information crucial for agricultural production substantially influences pesticide application rates ( Abdul Salam and Phimister, 2017 ). Pest control is a complex activity requiring high levels of technical knowledge and skill for the scientific application of pesticides. The ongoing labor migration from agriculture has led to an aging agricultural workforce, complicating the acquisition of pest control techniques and skills. This situation often results in excessive pesticide residues and overuse ( Win et al., 2020 ; Zhang et al., 2023 ). In contrast, agricultural technology departments can provide targeted technical support and training to a select number of Regional Pest Control program organizations, Furthermore, the adoption of large-scale and efficient plant protection machinery by these organizations can address the inefficiencies and coverage issues associated with manual spraying by individual farmers. Second, Timeliness of Plant Protection. Climate warming has accelerated the spread of many diseases and pests, necessitating rapid and large-scale response measures. The Regional Pest Control program, with its unified approach to epidemic forecasting, control timing, agent selection, and organizational prevention, can effectively respond within the critical window for disease and pest control, swiftly mitigating outbreaks ( Fuchu, 2017 ). Third, Reduced Monitoring Costs for Prohibited Pesticides: The diverse pest control strategies, pesticide selections, and procurement channels utilized by individual farmers lead to high supervision costs and inefficiencies. The Regional Pest Control program simplifies government oversight by centralizing pesticide procurement, thereby facilitating the regulation of pesticide use and encouraging the shift toward more efficient and less toxic pesticide applications ( Chaoan, 2011 ).

To address the issue of sample selection bias and ensure the consistency of estimated results, this study employs a simultaneous equation model, specifically the endogenous switching regression (ESR) method. This approach analyzes the impact of farmers’ adoption of the Regional Pest Control program on pesticide application by considering the decision-making process for pest control and pesticide application as endogenous variables.

3 The research method

The Endogenous Switching Regression (ESR) model encompasses two primary stages: Firstly, a selection equation is formulated, whereby farmers assess the feasibility of adopting the Regional Pest Control program based on their individual resources and operational circumstances. Subsequently, the model delineates two outcome equations aimed at elucidating the variables of interest, specifically pesticide application. These equations articulate the relationship between the vector of explanatory variables and the outcome variable. The ESR model concurrently estimates the following three equations:

Selection equation (Whether farmers adopt the Regional Pest Control program)

In the proposed model, N B i represents a binary variable indicating the adoption of the Regional Pest Control program by farmers, where N B i = 1 if the program is adopted and N B i = 0 otherwise. The vector β consists of parameters estimated in Equation 1 , while X i encompasses variables such as the characteristics of the farmer, agricultural production and operational status, and household attributes. The error term, η i , is presumed to follow a normal distribution. The parameters β is and β in , to be estimated in Equations 2, 3 respectively, quantify the impact of adopting the Regional Pest Control program on pesticide application. A distinction between X i in Equation 1 and X i ′ in Equations 2, 3 involves the inclusion of instrumental variables in X i to facilitate model identification. These instrumental variables are selected on the basis that they influence the decision to adopt the Regional Pest Control program but are unassociated with the level of pesticide application. For instance, the presence of local enterprises can increase non-farm employment opportunities for farmers, yet it bears no direct relation to pesticide usage levels. Similarly, the status of being a village cadre might encourage the adoption of government-promoted Regional Pest Control programs, but this status does not directly affect pesticide application rates. Consequently, this study identifies “the number of local enterprises” and “village cadre status” as instrumental variables for inclusion in the model concerning the adoption of the Regional Pest Control program.

The Endogenous Switching Regression (ESR) model employs a counterfactual framework to analyze expected outcomes under alternative scenarios. It posits hypothetical situations where farmers who have adopted the Regional Pest Control program did not do so, and conversely, those who have not adopted the program did. This study applies the ESR model to assess expected variations in pesticide application across these counterfactual scenarios. The conditional expected outcomes for each scenario are delineated as follows:

Observable pesticide application by farmers who have adopted Regional Pest Control program.

Counterfactual pesticide application by farmers who have adopted the Regional Pest Control program.

Observed pesticide application by farmers who did not adopt the Regional Pest Control program.

Counterfactual pesticide application by farmers who have not adopted the Regional Pest Control program.

In Equation 4e , λ ψ s and λ ψ n s also are known as the inverse Mills ratios, where φ · represents the standard normal probability density function, and ϕ · denotes the standard normal cumulative distribution function. The ESR (Endogenous Switching Regression) model estimates not only the marginal impacts of explanatory variables on the outcome variable (pesticide use) but also calculates the treatment effects of farmers adopting socialized pest and disease control services on pesticide use. According to Heckman et al. (2001) and Greene (2012) , Equations 4a–4d are used to compute the net impact of the adoption of socialized services on pesticide use, denoting the average treatment effect on the treated (ATT) and the average treatment effect on the untreated (ATU). The values for ATT and ATU are derived from Equations 5, 6 respectively.

The results from the Dubin-Wu–Hausman endogeneity test (hereafter referred to as the DWH test) decisively reject the null hypothesis that the decision by farmers to adopt the Regional Pest Control program functions as an exogenous variable at a significance level of 1%. This finding indicates that treating the adoption of the Regional Pest Control program as an exogenous variable in Equations 2, 3 introduces endogeneity, potentially leading to inconsistent estimation outcomes if one were to apply an Ordinary Least Squares (OLS) model. A critical prerequisite for the effective utilization of the Endogenous Switching Regression (ESR) model is the fulfillment of the exclusivity constraint test. This test ensures proper model identification by requiring that there be at least one instrumental variable influencing the decision to adopt the Regional Pest Control program that does not directly affect pesticide application. This necessitates that the instrumental variable(s) have a direct impact on the adoption decision without directly influencing pesticide application levels. To validate the efficacy of “number of local enterprises” and “village cadre status” as instrumental variables, it is essential to demonstrate that these variables, along with others, satisfy the exclusivity constraint. This involves showing that these variables influence the decision to adopt the Regional Pest Control program but have no direct effect on pesticide application levels. The validity of using “number of local enterprises” and “village cadre status” as instrumental variables was assessed through Probit and OLS regressions on the adoption decision and pesticide application equations, respectively, incorporating these and other variables to ensure a robust analysis. The results indicated that “the number of local enterprises” and “whether the farmer is a village cadre” did not significantly affect the method of pesticide application but had a significant influence at the 1% level on “whether farmers adopt agricultural socialized services.” The rank LM χ 2 statistic of the K-P test rejected the null hypothesis at the 1% significance level, signifying the model’s identifiability. Additionally, the Cragg-Donald Wald F statistic’s rejection of the null hypothesis at the 1% level suggests no weak instrument issue, affirming the effectiveness of the chosen instrumental variables.

4 Sample, data and variables

4.1 sample and data sources, 4.1.1 sample selection.

The genesis of agricultural non-point source pollution in China is multifaceted, with the overuse and misuse of pesticides in crop cultivation identified as a pivotal factor. Consequently, this study has chosen the Regional Pest Control program, which is intrinsically linked to pesticide application during crop production, as the sample for investigation. This selection aims to elucidate the program’s impact on pesticide usage in rice cultivation, offering insights into potential mitigative measures for pollution.

4.1.2 Data sources

The data collection for this study was conducted between July and September 2017. To ensure the representativeness of the survey sample and to mitigate the confounding effects of varying economic development levels and regional disparities on the evolution of agricultural social services, a stratified sampling method was employed. The research team selected five provinces: Heilongjiang, Jiangsu, Anhui, Hubei, and Sichuan, which is shown in Figure 1 . These provinces, situated in the eastern, central, and western regions of China, were chosen based on their substantial rice production and the representativeness of their local rice cultivation statuses. Collectively, these provinces contributed to approximately 60% of China’s total rice output in 2017. They are characterized by an extensive history of rice cultivation, large cultivation areas, and a relatively advanced state of Regional Pest Control implementation. Within each province, two counties were chosen, and from each county, two Regional Pest Control program service entities were randomly selected with assistance from the local agricultural departments. Correspondingly, two villages within the service jurisdiction of each pest control entity were selected as sampling points. Subsequently, 20 to 25 rice farmers were randomly chosen from each village using a stratified random sampling approach. From this survey, 948 questionnaires were collected, with 900 deemed valid, resulting in an effective response rate of 94.93%. The questionnaires encompassed four domains: individual farmer characteristics, household demographics, fundamental agricultural operations, and village attributes.

Figure 1 . The map of research area.

4.2 Variable selection

4.2.1 explained variable.

Scientifically measuring the application of pesticides in rice production is complex. For the purposes of this study, “Pesticide Application Intensity” and “Proportion of Non-hazardous Pesticide Usage” are employed as quantitative and qualitative indicators of scientific pesticide application levels in rice production. “Pesticide Application Intensity” is quantified by the number of pesticide applications during a single mid to late rice-growing season, while “Proportion of Non-hazardous Pesticide Usage” is measured by the proportion of non-hazardous pesticides used out of the total pesticides applied. Although this approach is not flawless, it offers a valuable framework for analysis.

4.2.2 Key explanatory variables

The key explanatory variables in this paper focus on farmers’ subjective perception of the potential yield loss risk from adopting the Regional Pest Control program, its influence on their adoption behavior, and the subsequent impact on pesticide application in rice production. Farmers’ risk perception of adopting these services is based on their subjective evaluation and categorized into three levels: low, medium, and high. Measurement of farmers’ risk preference utilizes the payoff matrix method, classified as risk-averse, risk-neutral, or risk seeking. The choice to adopt the Regional Pest Control program is self-selected by farmers, which necessitates addressing endogeneity issues arising from such self-selection in key explanatory variables.

4.2.3 Other explanatory variables

To analyze the impact of farmers’ adoption of the Regional Pest Control program on pesticide use in rice production, this study incorporates 13 variables across four categories based on existing research and the specific context of rice production in China. These include characteristics of farmers such as age, gender, and education level; family features like the number of agricultural laborers, total household population, and per capita household income; operational variables such as the scale of rice planting, the cost of the Regional Pest Control program, and the intensity of agricultural technical support; and village attributes including terrain and average village income. Descriptive statistics for these main variables are presented in Table 1 .

Table 1 . Descriptive statistics of main variables.

5 Empirical results analysis

5.1 factors influencing farmers’ adoption of the regional pest control program service and the intensity of pesticide usage.

In the ESR model estimates presented in Table 2 , the LR test of independence of equations rejects the null hypothesis of independence between the selection equation and the outcome equation at the 1% significance level. The coefficients are significantly different from zero at the 1% level, indicating that the choice to adopt the Regional Pest Control program service and the pest control behavior itself are influenced by unobservable factors, leading to a negative selection bias. ρ 1 > 0 suggests that farmers who apply pesticides less frequently than average are more inclined to adopt the Regional Pest Control program service. These farmers often exhibit a higher risk preference and are more likely to adopt such services when facing the uncertainty of yields due to pests and diseases. Hence, the ESR model is suitable for analyzing the issue of agricultural non-point source pollution caused by pesticides. The results in Table 2 indicate that the decision to adopt the Regional Pest Control program service is influenced by a multitude of factors including individual farmer characteristics, household characteristics, and agricultural production and management features. Specifically, when other variables are controlled for, it is observed that farmers with higher education levels, older age, risk preference, larger household populations, higher per capita income, greater planting scales, and stronger agricultural technical support are more inclined to adopt the Regional Pest Control program service. Conversely, service price, length of time in agriculture, and the number of household laborers have a significant negative effect on the adoption of such service. These findings are largely consistent with the conclusions of Ruiyao and Bin’s (2014) study.

Table 2 . Estimated impact of the regional pest control program service on pesticide application intensity.

Comparing the factors in Table 2 , it is evident that the determinants of pesticide application intensity differ significantly between farmers who adopt the Regional Pest Control program service and those who rely on self-management. For the latter group, age, risk characteristics, per capita household income, agricultural technical support intensity, price, and village topographical features all significantly impact pesticide application intensity.

5.2 Average treatment effects of farmers’ adoption of the regional pest control program service on pesticide application intensity

Within the framework of the ESR model’s counterfactual estimation, the treatment effects of adopting the Regional Pest Control program service on the intensity of pesticide application (ATT) and the treatment effects of not adopting RPC service (ATU) can be computed using Equations 5, 6 , respectively. As presented in Table 3 , the actual pesticide application frequencies for self-managed and the Regional Pest Control program service-managed farms are 6.759 and 5.577 times, respectively. The Regional Pest Control program service exerts a negative treatment effect on pesticide application intensity, which is statistically significant at the 1% level. According to the ATU estimates, if self-managing farmers were to adopt the Regional Pest Control program service, their pesticide application frequency would reduce from 6.579 to 4.544 times, averaging a decrease of 2.214 applications and a reduction of 33.6%, significant at the 1% level. Conversely, ATT estimates suggest that if farmers currently using the Regional Pest Control program service were not to utilize them, their pesticide application frequency would increase from 5.577 to 7.727 times, an increase of 38.5%, also significant at the 1% level. These findings underscore that the Regional Pest Control program service, as a modern agricultural production method adapted to China’s national conditions, can effectively reduce the use of pesticides, thereby contributing to the enhancement of agricultural non-point source pollution control.

Table 3 . Average treatment effects of the regional pest control program service on pesticide application intensity.

5.3 Factors influencing farmers’ adoption of the regional pest control program service and the proportion of non-hazardous pesticide usage

The analysis results from the ESR model as shown in Table 4 indicate that the LR test of independent equations rejects the null hypothesis of independence between the selection equation and the outcome equation at the 1% level. Additionally, ρ 0 and ρ 1 are significantly different from zero at the 5 and 1% levels, respectively. This suggests that the decision to adopt the Regional Pest Control program service and the application of non-hazardous pesticides in pest control are both influenced by unobservable factors. Consequently, the ESR model is well-suited for analyzing the impact of socialized agricultural services on agricultural non-point source pollution caused by pesticides. The model estimates presented in Table 4 demonstrate that the adoption of the Regional Pest Control program service by farmers is influenced by a multitude of factors, including individual characteristics of the farmers, family characteristics, and the features of agricultural production and management.

Table 4 . Estimated effects of the regional pest control program service on the proportion of non-hazardous pesticide usage.

5.4 Average treatment effects of farmers’ adoption of the regional pest control program service on the usage proportion of non-hazardous pesticides

Within the ESR model framework utilizing counterfactual estimation, the Average Treatment effect on the Treated (ATT) and the Average Treatment effect on the Untreated (ATU) regarding the impact of the adoption of the Regional Pest Control program service on the proportion of non-hazardous pesticide application can be calculated using Equations 5, 6 respectively. The results, as shown in Table 5 , indicate that the proportion of non-hazardous pesticide application for households practicing self-protection and those utilizing the Regional Pest Control program service are 69.2 and 70.5%, respectively. According to the ATT results, the proportion of non-hazardous pesticide application would decrease from 70.5 to 66.3%–a decline of 4.17 percentage points–if households utilizing the Regional Pest Control program service did not do so, with this effect being significant at the 5% level. The ATU value stands at 1.63%, also significant at the 5% level. Considering the variation in the proportion of non-hazardous pesticide application, particularly after excluding the impact of unobservable heterogeneity among households, the Regional Pest Control program service has increased the use of non-hazardous pesticides by 4.17 percentage points. These findings suggest that the Regional Pest Control program service is an agricultural production method well suited to the national conditions of China, as they effectively increase the utilization of non-hazardous pesticides, thereby mitigating agricultural non-point source pollution.

Table 5 . Average treatment effects of the regional pest control program service on the proportion of non-hazardous pesticide usage.

5.5 Analysis of group differences in the impact of the regional pest control program service on pesticide usage

Inherent risk preferences are influenced by cognitive abilities ( Dohmen et al., 2010 ). To elucidate the differential impacts of the Regional Pest Control program service on pesticide application across sample groups with varying risk preferences, this study categorizes farmers based on their risk aversion levels. The average treatment effects of the Regional Pest Control program service on pesticide application intensity, as measured under different risk preferences through the Endogenous Switching Regression (ESR) model, are presented in Figure 2 and Table 6 .

Figure 2 . Average treatment effects of farmers with different risk preferences adopting the regional pest control program service on pesticide application intensity.

Table 6 . Average treatment effects of farmers with different risk preferences adopting the regional pest control program service on pesticide application intensity.

Based on the outcomes presented in Table 6 , it is observed that the adoption of the Regional Pest Control program service significantly reduces the intensity of pesticide application across the board, irrespective of the farmers’ risk preferences. Upon segmenting the sample according to risk preferences, it becomes apparent that for farmers adopting the Regional Pest Control program service, the higher their propensity for risk, the less pronounced is the effect of these services on reducing pesticide application intensity. In other words, farmers with a stronger aversion to risk exhibit the greatest reduction in pesticide application intensity when adopting the Regional Pest Control program service. This pattern is consistent even among farmers who have not adopted these services, indicating that risk-averse farmers would benefit most in terms of reduced pesticide application intensity from the adoption of the Regional Pest Control program service.

The average treatment effects of the Regional Pest Control program service on the proportion of non-hazardous pesticide application, as calculated by the Endogenous Switching Regression (ESR) model for different risk preferences, are indicated in Figure 3 and Table 7 .

Figure 3 . Average treatment effects of farmers with different risk preferences adopting the regional pest control program service on the proportion of non-hazardous pesticide usage.

Table 7 . Average treatment effects of farmers with different risk preferences adopting the regional pest control program service on the proportion of non-hazardous pesticide usage.

The results presented in Table 7 reveal that, in terms of the Average Treatment Effect on the Treated (ATT), the adoption of the Regional Pest Control program service increases the proportion of non-hazardous pesticide use across all farmers, regardless of their risk preferences. However, the effect is not significantly marked. This can be attributed to the fact that farmers’ choices of pesticides are influenced not only by their own awareness and willingness but also by the supply side. Government regulations on the types of pesticides supplied mean that even if farmers adopt the Regional Pest Control program service, the proportion of non-hazardous pesticides used does not increase substantially.

Further analysis segmented by risk preference indicates that for farmers adopting the Regional Pest Control program service, those with higher risk preferences show a smaller effect of these services on increasing the use of non-hazardous pesticides. Conversely, farmers with a greater aversion to risk experience the most significant impact in terms of increasing the use of non-hazardous pesticides. The same trend is observed among farmers who have not adopted the RPC service, where the Average Treatment Effect on the Untreated (ATU) for risk-preferent and risk-neutral farmers is negative. This pattern may be due to the fact that rice farmers in China are categorized into profit-oriented and subsistence-oriented groups. Subsistence-oriented farmers, who have an intrinsic motivation for green production, are more inclined to use non-hazardous pesticides. Consequently, their adoption of the Regional Pest Control program service paradoxically results in a decrease in the proportion of non-hazardous pesticide usage ( Manivong et al., 2014 ).

6 Conclusions and policy implications

This study, based on the survey analysis of 900 households in five provinces including Heilongjiang, Jiangsu, and Sichuan, employs an endogenous switching regression model that allows for the elimination of both observable and unobservable household heterogeneity. This approach mitigates endogeneity issues arising from sample selection and enables the estimation of average treatment effects. Using pesticide application intensity and the proportion of non-hazardous pesticide use as entry points, the study empirically examines the impact of the Regional Pest Control program service on pesticide use within a counterfactual framework. The principal findings are as follows: Firstly, farmers’ risk perception regarding the adoption of the Regional Pest Control program service significantly influences their adoption decisions. Higher levels of risk perception are associated with a decreased likelihood of adopting the RPC service. Secondly, after controlling for observable and unobservable household heterogeneity, it is evident that the Regional Pest Control program service significantly reduce pesticide application intensity and increase the proportion of non-hazardous pesticide use, thereby mitigating agricultural non-point source pollution. Thirdly, the impact of the Regional Pest Control program service on pesticide use varies significantly among different groups of farmers with varying risk preferences. Those with a higher degree of risk aversion benefit more from the adoption of the Regional Pest Control program service in terms of both reducing pesticide application intensity and increasing the use of non-hazardous pesticides.

Based on the aforementioned conclusions, the policy implications of this study are as follows: First, the significant impact of the Regional Pest Control program service on pesticide application should be fully recognized and valued. As a crucial component of modern agricultural practices, the Regional Pest Control program service not only ensures the quantitative safety of agricultural products but also effectively reduces the intensity of pesticide use, thereby enhancing China’s agricultural competitiveness. This bears substantial social significance and industrial value. Second, there should be an intensification of efforts to promote the Regional Pest Control program service, improve pest and epidemic monitoring and reporting, and ensure stable crop yields. The introduction of agricultural insurance tailored to these services could alleviate farmers’ concerns over potential yield losses post-adoption and reduce their risk perception associated with these services. Third, it is essential to increase fiscal support for the Regional Pest Control program service to raise continually the willingness of both risk-averse and profit-oriented farmers to adopt such services.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

BX: Funding acquisition, Writing – original draft, Conceptualization, Formal analysis. FK: Supervision, Writing – review & editing.

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This paper was supported by the Shandong Province Social Science Planning Research Project (Grant No. 21CXSX10).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abdul Salam, Y., and Phimister, E. (2017). Efficiency effects of access to information on small-scale agriculture: empirical evidence from Uganda using stochastic frontier and IRT models. J. Agric. Econ. 68, 494–517. doi: 10.1111/1477-9552.12194

Crossref Full Text | Google Scholar

Belay, A., Recha, J. W., Woldeamanuel, T., and Morton, J. F. (2017). Smallholder farmers’ adaptation to climate change and determinants of their adaptation decisions in the central Rift Valley of Ethiopia. Agric. Food Secur. 6, 1–13. doi: 10.1186/s40066-017-0100-1

Carney, D. (1995). The changing public role in services to agriculture: a framework for analysis. Food Policy 20, 521–528. doi: 10.1016/0306-9192(95)00044-5

Chaoan, W. (2011). Specialized unified prevention and control: an important choice for modern agricultural development. China Plant Prot. Guide 31, 5–8. doi: 10.3969/j.issn.1672-6820.2011.09.001

Dohmen, T., Falk, A., Huffman, D., and Sunde, U. (2010). Are risk aversion and impatience related to cognitive ability? Am. Econ. Rev. 100, 1238–1260. doi: 10.1257/aer.100.3.1238

Fabregas, R., Kremer, M., and Schilbach, F. (2019). Realizing the potential of digital development: the case of agricultural advice. Science 366:eaay3038. doi: 10.1126/science.aay3038

PubMed Abstract | Crossref Full Text | Google Scholar

Fan, J., and Yunyun, Y. (2023). A comprehensive review of research on agricultural socialized services in China. Western Forum 33, 111–124. doi: 10.3969/j.issn.1674-81312023.02.008

Fuchu, Y. (2017). Practices and reflections on the construction of modern plant protection system in Hunan Province. China Plant Prot. Guide 37, 75–79. doi: 10.3969/j.issn.1672-6820.2017.11.018

Gbashi, S., Adebo, O. A., Adebiyi, J. A., Targuma, S., Tebele, S., Areo, O. M., et al. (2021). Food safety, food security and genetically modified organisms in Africa: a current perspective. Biotechnol. Genet. Eng. Rev. 37, 30–63. doi: 10.1080/02648725.2021.1940735

Greene, W. H. (2012). Econometric analysis . London, UK: Pearson Education Limited.

Google Scholar

Heckman, J., Tobias, J. L., and Vytlacil, E. (2001). Four parameters of interest in the evaluation of social programs. South. Econ. J. 68, 210–223. doi: 10.1002/j.2325-8012.2001.tb00416.x

Hou, L., Liu, P., Huang, J., and Deng, X. (2020). The influence of risk preferences, knowledge, land consolidation, and landscape diversification on pesticide use. Agric. Econ. 51, 759–776. doi: 10.1111/agec.12590

Huang, J., Hu, R., Rozelle, S., and Pray, C. (2008). Genetically modified rice, yields, and pesticides: assessing farm-level productivity effects in China. Econ. Dev. Cult. Change 56, 241–263. doi: 10.1086/522898

Kang, X., Jinghua, X., Nankun, Y., and Yaping, L. (2015). Social deterrence signals and value reconstruction: an institutional analysis of social co-governance in food safety. Econ. Perspect. 1, 4–16.

Ke, W. (2017). China’s per mu chemical fertilizer usage is 2.6 times that of the U.S., pesticide utilization rate only 35%: Agricultural inputs market awaits the 'Era of large-scale farming .

Labarthe, P., and Laurent, C. (2013). Privatization of agricultural extension services in the EU: towards a lack of adequate knowledge for small-scale farms? Food Policy 38, 240–252. doi: 10.1016/j.foodpol.2012.10.005

Lokshin, M., and Sajaia, Z. (2004). Maximum likelihood estimation of endogenous switching regression models. Stata J. 4, 282–289. doi: 10.1177/1536867X0400400306

Ma, W., and Abdulai, A. (2016). Does cooperative membership improve household welfare? Evidence from apple farmers in China. Food Policy 58, 94–102. doi: 10.1016/j.foodpol.2015.12.002

Manivong, V., Newby, J., and Cramb, R. (2014). Subsistence-oriented rice farming in the rainfed lowlands of central and southern Laos–a policy dilemma . A Policy Dialogue On Rice Futures: Rice-Based Farming Systems Research in the Mekong Region, No. 142, pp. 128–135. Available at: http://espace.library.uq.edu.au/view/UQ:350558

Narayanan, M., Devarayan, K., Verma, M., Selvaraj, M., Ghramh, H. A., and Kandasamy, S. (2024). Assessing the ecological impact of pesticides/herbicides on algal communities: a comprehensive review. Aquat. Toxicol. 268:106851. doi: 10.1016/j.aquatox.2024.106851

Ngo-Hoang, D. (2024). Sustainable agriculture: Aquaponics-integrated greenhouse cultivation of cantaloupe with drip irrigation system .

Ning, A., Shan, Z., and Zhigang, X. (2024). Research on pesticide application intensity and outsourcing services in the 'Principal-Agent' perspective . Agricultural Technology Economy.

Pedersen, A. B., Nielsen, H. Ø., Christensen, T., Ørum, J. E., and Martinsen, L. (2019). Are independent agricultural advisors more oriented towards recommending reduced pesticide use than supplier-affiliated advisors? J. Environ. Manag. 242, 507–514. doi: 10.1016/j.jenvman.2019.04.091

Peng, Z., Xiaohong, L., and Yu, W. (2024). The impact of Farmers' digital literacy on the reduction of chemical pesticide use and its mechanisms. China Soft Sci. 2024, 64–73. doi: 10.3969/j.issn.1002-9753.2024.02.007

Ren, Y., Zhao, J., Liu, Y., Li, M., Tang, J., Ji, X., et al. (2023). Effects of diseases and pests on quality, industry and international trade of tea. Plant Dis. and Pests 14, 30–32. doi: 10.19579/j.cnki.plant-d.p.2023.03.010

Ruiyao, Y., and Bin, X. (2014). Analysis of the demonstration effect of Farmers' adoption of agricultural socialized services: the case of unified Pest and disease prevention and control. China Rural Econ. 2014, 30–41. doi: 10.12062/cpre.20170322

Ruiyao, Y., and Bin, X. (2017). The impact of specialized prevention and control Services for Crop Pests and Diseases on the intensity of pesticide application. China Popul. Resour. Environ. 27, 90–97.

Skinner, D. J., Rocks, S. A., and Pollard, S. J. (2016). Where do uncertainties reside within environmental risk assessments? Expert opinion on uncertainty distributions for pesticide risks to surface water organisms. Sci. Total Environ. 572, 23–33. doi: 10.1016/j.scitotenv.2016.07.164

Win, T. T., Thu, M., Swe, T. M., Ko, T., Aung, T. T., Ei, H. H., et al. (2020). Degradation of soil quality in Mandalay region of Myanmar due to overuse of pesticides in agriculture. Asia Pac. J. Rural Dev. 30, 113–138. doi: 10.1177/1018529120977247

Wuepper, D., Roleff, N., and Finger, R. (2021). Does it matter who advises farmers? Pest management choices with public and private extension. Food Policy 99:101995. doi: 10.1016/j.foodpol.2020.101995

Xingdong, M., and Xuexi, H. (2019). Standardized apple production, regulatory effects, and recommendations for improvement: based on a survey analysis of 960 apple growers in 11 counties across Shandong, Shaanxi, and Gansu provinces. Issues Agric. Econ. 2019, 37–48.

Xu, H., Chaiboonsri, C., and Chokethaworn, K. (2023). Research on export prediction model based on machine learning: Application of China's agricultural products export. Proceedings of; 1-1-2023 2023 .

Zhang, H., Li, J., and Quan, T. (2023). Strengthening or weakening: the impact of an aging rural workforce on agricultural economic resilience in China. Agriculture 13:1436. doi: 10.3390/agriculture13071436

Zhao, J., Gerasimova, K., Peng, Y., and Sheng, J. (2020). Information asymmetry, third party certification and the integration of organic food value chain in China. China Agric. Econ. Rev. 12, 20–38. doi: 10.1108/CAER-05-2018-0111

Keywords: regional pest control program, endogenous switching regression, perceived risks, pesticide application practices, agricultural non-point source pollution

Citation: Xu B and Kong F (2024) Impact of regional pest control on pesticide application in China from a perceived risks perspective. Front. Sustain. Food Syst . 8:1407961. doi: 10.3389/fsufs.2024.1407961

Received: 27 March 2024; Accepted: 25 July 2024; Published: 14 August 2024.

Reviewed by:

Copyright © 2024 Xu and Kong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fanzhu Kong, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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Analysis of wheat-yield prediction using machine learning models under climate change scenarios.

1. Introduction

• Identifying the key factors influencing wheat production
• Modeling and testing wheat-yield responses to rainfall and temperature variables using various methods such as boosting tree, ANNs, random forest regression, multiple linear regression, and ensemble models, based on observed yield and climatic data
• Anticipating and analyzing the potential influence of climate change on wheat crop trends up to the year 2052.

2. Materials and Methods

2.1. research workflow, 2.2. study area, 2.3. observed data, 2.4. gcm data, 2.5. data processing, data splitting, 2.6. experimental setup, 3. machine learning algorithms, 3.1. multiple linear regression, 3.2. xgboost, 3.3. random forest regression, 3.4. artificial neural networks (anns) model, 3.5. ensemble model, 3.6. evaluation metrics.

• Conduct a correlation analysis between climate factors and wheat yields and identify the climate variables most significantly correlated with wheat production through statistical hypothesis testing of relationships.
• Apply various machine learning models (RF, MLR, boosting tree, MLP, PNN, GFF) to the historical climate and wheat-yield data to generate predictions and compare against actual historical yields.
• Evaluate the various machine learning models using training performance metrics such as R 2 , R, nRMSE, MAE, MBE, and RMSE to identify the best performers.
• To downscale coarse resolution GCM climate projections to local scales under three emission scenarios (SRA1B, SRB1, SRA2) using the XGboost statistical downscaling model.
• Applying the best-performing machine learning model to project wheat yields over periods for three locations and emission scenarios using the downscaled generated climate variables data.

4.1. Importance of the Climate Parameters on Wheat Yield

4.2. selection of predictors and predicted variables, 4.3. performance metrics of different mla, 4.4. downscaling climate projections using the xgboost algorithm, 4.5. wheat-yield prediction over 2052, 5. comparison of the proposed method with existing techniques, 6. discussion.

• More weather stations are needed across Pakistan to thoroughly examine nationwide climate-agriculture relationships at the district and provincial levels.
• Developing and promoting wheat varieties that exhibit heat tolerance, drought resistance, and disease resilience is crucial. These climate-smart cultivars can withstand extreme temperatures and water scarcity, ensuring stable yields.
• Early sowing and climate-informed planting dates help avoid extreme heat stress during grain filling. Adjusting planting windows based on weather forecasts improves yield outcomes.
• Efficient irrigation systems, rainwater harvesting, and proper water scheduling are essential. Consistent water supply during critical growth stages enhances yield.
• Mapping suitable crop habitats can aid precautionary measures and innovations to boost agricultural output and food security amid climate shifts.

7. Conclusions

Author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.

• Ruan, G.; Schmidhalter, U.; Yuan, F.; Cammarano, D.; Liu, X.; Tian, Y.; Zhu, Y.; Cao, W.; Cao, Q. Exploring the transferability of wheat nitrogen status estimation with multisource data and Evolutionary Algorithm-Deep Learning (EA-DL) framework. Eur. J. Agron. 2023 , 143 , 126727. [ Google Scholar ] [ CrossRef ]
• Giraldo, P.; Benavente, E.; Manzano-Agugliaro, F.; Gimenez, E. Worldwide research trends on wheat and barley: A bibliometric comparative analysis. Agronomy 2019 , 9 , 352. [ Google Scholar ] [ CrossRef ]
• Ashfaq, M.; Khan, I.; Alzahrani, A.; Tariq, M.U.; Khan, H.; Ghani, A. Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion. IEEE Access 2024 , 12 , 40947–40961. [ Google Scholar ] [ CrossRef ]
• Sinwar, D.; Dhaka, V.S.; Sharma, M.K.; Rani, G. AI-based yield prediction and smart irrigation. In Internet of Things and Analytics for Agriculture ; Springer: Singapore, 2020; Volume 2, pp. 155–180. [ Google Scholar ] [ CrossRef ]
• Ahmad, M.J.; Cho, G.H.; Kim, S.H.; Lee, S.; Adelodun, B.; Choi, K.S. Influence mechanism of climate change over crop growth and water demands for wheat-rice system of Punjab, Pakistan. J. Water Clim. Chang. 2021 , 12 , 1184–1202. [ Google Scholar ] [ CrossRef ]
• Rosenzweig, C.; Solecki, W.D.; Romero-Lankao, P.; Mehrotra, S.; Dhakal, S.; Ibrahim, S.A. Climate Change and Cities: Second Assessment Report of the Urban Climate Change Research Network ; Cambridge University Press: Cambridge, UK, 2018. [ Google Scholar ]
• Kogan, F.; Guo, W.; Yang, W.; Shannon, H. Space-based vegetation health for wheat yield modeling and prediction in Australia. J. Appl. Remote Sens. 2018 , 12 , 026002. [ Google Scholar ] [ CrossRef ]
• Lee, C.C.; Zeng, M.; Luo, K. How does climate change affect food security? Evidence from China. Environ. Impact Assess. Rev. 2024 , 104 , 107324. [ Google Scholar ] [ CrossRef ]
• Zhang, M.; Gao, Y.; Zhang, Y.; Fischer, T.; Zhao, Z.; Zhou, X.; Wang, Z.; Wang, E. The contribution of spike photosynthesis to wheat yield needs to be considered in process-based crop models. Field Crop. Res. 2020 , 257 , 107931. [ Google Scholar ] [ CrossRef ]
• Paccioretti, P.; Bruno, C.; Gianinni Kurina, F.; Córdoba, M.; Bullock, D.; Balzarini, M. Statistical models of yield in on-farm precision experimentation. Agron. J. 2021 , 113 , 4916–4929. [ Google Scholar ] [ CrossRef ]
• Srivastava, R.K.; Mequanint, F.; Chakraborty, A.; Panda, R.K.; Halder, D. Augmentation of maize yield by strategic adaptation to cope with climate change for a future period in Eastern India. J. Clean. Prod. 2022 , 339 , 130599. [ Google Scholar ] [ CrossRef ]
• Ishaque, W.; Osman, R.; Hafiza, B.S.; Malghani, S.; Zhao, B.; Xu, M.; Ata-Ul-Karim, S.T. Quantifying the impacts of climate change on wheat phenology, yield, and evapotranspiration under irrigated and rainfed conditions. Agric. Water Manag. 2023 , 275 , 108017. [ Google Scholar ] [ CrossRef ]
• Tariq, A.; Yan, J.; Gagnon, A.S.; Riaz Khan, M.; Mumtaz, F. Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest. Geo-Spat. Inf. Sci. 2023 , 26 , 302–320. [ Google Scholar ] [ CrossRef ]
• Wadoux, A.M.C.; Brus, D.J.; Heuvelink, G.B. Sampling design optimization for soil mapping with random forest. Geoderma 2019 , 355 , 113913. [ Google Scholar ] [ CrossRef ]
• Van Klompenburg, T.; Kassahun, A.; Catal, C. Crop yield prediction using machine learning: A systematic literature review. Comput. Electron. Agric. 2020 , 177 , 105709. [ Google Scholar ] [ CrossRef ]
• Fashoto, S.G.; Mbunge, E.; Ogunleye, G.; den Burg, J.V. Implementation of machine learning for predicting maize crop yields using multiple linear regression and backward elimination. Precis. Agric. 2021 , 6 , 679–697. [ Google Scholar ] [ CrossRef ]
• Pang, A.; Chang, M.W.; Chen, Y. Evaluation of random forests (RF) for regional and local-scale wheat yield prediction in southeast Australia. Sensors 2022 , 22 , 717. [ Google Scholar ] [ CrossRef ]
• Sahbeni, G.; Székely, B.; Musyimi, P.K.; Timár, G.; Sahajpal, R. Crop Yield Estimation Using Sentinel-3 SLSTR, Soil Data, and Topographic Features Combined with Machine Learning Modeling: A Case Study of Nepal. AgriEngineering 2023 , 5 , 1766–1788. [ Google Scholar ] [ CrossRef ]
• Fei, S.; Hassan, M.A.; Xiao, Y.; Su, X.; Chen, Z.; Cheng, Q.; Duan, F.; Chen, R.; Ma, Y. UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat. Precis. Agric. 2023 , 24 , 187–212. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Li, Q.C.; Xu, S.W.; Zhuang, J.Y.; Liu, J.J.; Yi, Z.H.; Zhang, Z.X. Ensemble learning prediction of soybean yields in China based on meteorological data. J. Integr. Agric. 2023 , 22 , 1909–1927. [ Google Scholar ] [ CrossRef ]
• Zhang, L.; Traore, S.; Ge, J.; Li, Y.; Wang, S.; Zhu, G.; Cui, Y.; Fipps, G. Using boosted tree regression and artificial neural networks to forecast upland rice yield under climate change in Sahel. Comput. Electron. Agric. 2019 , 166 , 105031. [ Google Scholar ] [ CrossRef ]
• Silva, A.A.D. Investigation into the Effects of Microbial Communities on Biogeochemical Cycles in Soil. Ph.D. Thesis, Université Catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium, 2013. [ Google Scholar ]
• Haider, S.A.; Naqvi, S.R.; Akram, T.; Umar, G.A.; Shahzad, A.; Sial, M.R.; Khaliq, S.; Kamran, M. LSTM neural network based forecasting model for wheat production in Pakistan. Agronomy 2019 , 9 , 72. [ Google Scholar ] [ CrossRef ]
• Ahmed, M.U.; Hussain, I. Prediction of Wheat Production Using Machine Learning Algorithms in northern areas of Pakistan. Telecommun. Policy 2022 , 46 , 102370. [ Google Scholar ] [ CrossRef ]
• Arshad, S.; Kazmi, J.H.; Javed, M.G.; Mohammed, S. Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia. Eur. J. Agron. 2023 , 147 , 126837. [ Google Scholar ] [ CrossRef ]
• Hussain, N. Predicting forecast of sugarcane production in Pakistan. Sugar Tech. 2023 , 25 , 681–690. [ Google Scholar ] [ CrossRef ]
• Pequeno, D.N.; Hernandez-Ochoa, I.M.; Reynolds, M.; Sonder, K.; MoleroMilan, A.; Robertson, R.D.; Lopes, M.S.; Xiong, W.; Kropff, M.; Asseng, S. Climate impact and adaptation to heat and drought stress of regional and global wheat production. Environ. Res. Lett. 2021 , 16 , 054070. [ Google Scholar ] [ CrossRef ]
• Available online: https://www.microsoft.com/store/productId/9WZDNCRFJ3Q2?ocid=pdpshare (accessed on 15 November 2023).
• Crop Reporting Service, Punjab. Crop Reporting Service, Government of Punjab. 2024. Available online: https://crs.agripunjab.gov.pk/ (accessed on 7 June 2024).
• Available online: https://ipcc-browser.ipcc-data.org (accessed on 15 November 2023).
• López Segura, M.V.; Aguilar Lasserre, A.A.; Fernández Lámbert, G.; Posada Gómez, R.; Villanueva Vásquez, D. XGBoost sequential system for the prediction of Persian lemon crop yield. Crop Sci. 2023 , 1–12. [ Google Scholar ] [ CrossRef ]
• Saeed, U.; Dempewolf, J.; Becker-Reshef, I.; Khan, A.; Ahmad, A.; Wajid, S.A. Forecasting wheat yield from weather data and MODIS NDVI using Random Forests for Punjab province, Pakistan. Int. J. Remote Sens. 2017 , 38 , 4831–4854. [ Google Scholar ] [ CrossRef ]
• Rezaei, M.; Mousavi, S.R.; Rahmani, A.; Zeraatpisheh, M.; Rahmati, M.; Pakparvar, M.; Mahjenabadi, V.A.J.; Seuntjens, P.; Cornelis, W. Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil. Comput. Electron. Agric. 2023 , 209 , 107821. [ Google Scholar ] [ CrossRef ]
• Chen, T.; Guestrin, C. Xgboost: A scalable tree boosting system. In Proceedings of the 22nd ACM Sigkdd International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, 13–17 August 2016; pp. 785–794. [ Google Scholar ]
• Breiman, L. Random forests. Mach. Learn. 2001 , 45 , 5–32. [ Google Scholar ] [ CrossRef ]
• Wang, S.C. Interdisciplinary Computing in JAVA Programming ; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2003; Volume 743. [ Google Scholar ]
• Satpathi, A.; Setiya, P.; Das, B.; Nain, A.S.; Jha, P.K.; Singh, S.; Singh, S. Comparative analysis of statistical and machine learning techniques for rice yield forecasting for Chhattisgarh, India. Sustainability 2023 , 15 , 2786. [ Google Scholar ] [ CrossRef ]
• Naser, M.; Alavi, A. Insights into performance fitness and error metrics for machine learning. arXiv 2020 , arXiv:2006.00887. [ Google Scholar ]
• Cao, J.; Zhang, Z.; Luo, Y.; Zhang, L.; Zhang, J.; Li, Z.; Tao, F. Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine. Eur. J. Agron. 2021 , 123 , 126204. [ Google Scholar ] [ CrossRef ]
• Prodhan, F.A.; Zhang, J.; Sharma, T.P.P.; Nanzad, L.; Zhang, D.; Seka, A.M.; Ahmed, N.; Hasan, S.S.; Hoque, M.Z.; Mohana, H.P. Projection of future drought and its impact on simulated crop yield over South Asia using ensemble machine learning approach. Sci. Total. Environ. 2022 , 807 , 151029. [ Google Scholar ] [ CrossRef ]
• Yang, X.; Tian, Z.; Sun, L.; Chen, B.; Tubiello, F.N.; Xu, Y. The impacts of increased heat stress events on wheat yield under climate change in China. Clim. Chang. 2017 , 140 , 605–620. [ Google Scholar ] [ CrossRef ]
• Wang, X.; Ji, Y.; Zhou, G.; Wang, S.; Yao, X. Climate suitability and vulnerability of winter wheat planting in Gansu under the background of global warming. J. Geosci. Environ. Prot. 2019 , 7 , 239–250. [ Google Scholar ] [ CrossRef ]
• Wang, X.; Huang, J.; Feng, Q.; Yin, D. Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches. Remote Sens. 2020 , 12 , 1744. [ Google Scholar ] [ CrossRef ]
• Wang, Y.; Zhang, Z.; Feng, L.; Du, Q.; Runge, T. Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States. Remote Sens. 2020 , 12 , 1232. [ Google Scholar ] [ CrossRef ]
• Gómez, D.; Salvador, P.; Sanz, J.; Casanova, J.L. Potato yield prediction using machine learning techniques and sentinel 2 data. Remote Sens. 2019 , 11 , 1745. [ Google Scholar ] [ CrossRef ]
• Guo, Y.; Fu, Y.; Hao, F.; Zhang, X.; Wu, W.; Jin, X.; Bryant, C.R.; Senthilnath, J. Integrated phenology and climate in rice yields prediction using machine learning methods. Ecol. Indic. 2021 , 120 , 106935. [ Google Scholar ] [ CrossRef ]
• Li, L.; Wang, B.; Feng, P.; Li Liu, D.; He, Q.; Zhang, Y.; Wang, Y.; Li, S.; Lu, X.; Yue, C.; et al. Developing machine learning models with multi-source environmental data to predict wheat yield in China. Comput. Electron. Agric. 2022 , 194 , 106790. [ Google Scholar ] [ CrossRef ]
• Akbar, H.; Gheewala, S.H. Effect of climate change on cash crops yield in Pakistan. Arab. J. Geosci. 2020 , 13 , 1–15. [ Google Scholar ] [ CrossRef ]
• Gul, F.; Ahmed, I.; Ashfaq, M.; Jan, D.; Fahad, S.; Li, X.; Wang, D.; Fahad, M.; Fayyaz, M.; Shah, S.A. Use of crop growth model to simulate the impact of climate change on yield of various wheat cultivars under different agro-environmental conditions in Khyber Pakhtunkhwa, Pakistan. Arab. J. Geosci. 2020 , 13 , 1–14. [ Google Scholar ] [ CrossRef ]
• Ahmad, M.J.; Choi, K.S.; Cho, G.H.; Kim, S.H. Future wheat yield variabilities and water footprints based on the yield sensitivity to past climate conditions. Agronomy 2019 , 9 , 744. [ Google Scholar ] [ CrossRef ]
• Mahmood, N.; Arshad, M.; Kächele, H.; Ma, H.; Ullah, A.; Müller, K. Wheat yield response to input and socioeconomic factors under changing climate: Evidence from rainfed environments of Pakistan. Sci. Total. Environ. 2019 , 688 , 1275–1285. [ Google Scholar ] [ CrossRef ] [ PubMed ]

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Share and Cite

Iqbal, N.; Shahzad, M.U.; Sherif, E.-S.M.; Tariq, M.U.; Rashid, J.; Le, T.-V.; Ghani, A. Analysis of Wheat-Yield Prediction Using Machine Learning Models under Climate Change Scenarios. Sustainability 2024 , 16 , 6976. https://doi.org/10.3390/su16166976

Iqbal N, Shahzad MU, Sherif E-SM, Tariq MU, Rashid J, Le T-V, Ghani A. Analysis of Wheat-Yield Prediction Using Machine Learning Models under Climate Change Scenarios. Sustainability . 2024; 16(16):6976. https://doi.org/10.3390/su16166976

Iqbal, Nida, Muhammad Umair Shahzad, El-Sayed M. Sherif, Muhammad Usman Tariq, Javed Rashid, Tuan-Vinh Le, and Anwar Ghani. 2024. "Analysis of Wheat-Yield Prediction Using Machine Learning Models under Climate Change Scenarios" Sustainability 16, no. 16: 6976. https://doi.org/10.3390/su16166976

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August 14, 2024

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Consumer-grade insecticide sprays fail to control cockroaches, study shows

by Entomological Society of America

A common variety of consumer insecticide sprays is mostly ineffective and of "little to no value" in eliminating cockroach infestations, a study in the Journal of Economic Entomology shows.

Residual insecticides are designed to be sprayed on surfaces where cockroaches are likely to appear, exposing them to the toxic ingredient when they move across the surface later. But laboratory testing by researchers at the University of Kentucky and Auburn University shows that the residues have little effect on German cockroaches (Blattella germanica), a primary species infesting homes and buildings around the world.

The study found that liquid and aerosol sprays using pyrethroid insecticides killed less than 20% of German cockroaches that were exposed to sprayed surfaces for 30 minutes. Moreover, even when cockroaches were confined to the sprayed surfaces, most products took eight to 24 hours to kill the cockroaches, with some taking up to five days.

The study tested the sprays on German cockroaches that had been collected from real-world infestations, where the insects have evolved resistance to pyrethroids, previous research shows.

"If residents do not have access to effective professional pest control or consumer solutions, they continue to be impacted by the effects of an infestation, including the health risks associated with cockroach allergens. Home is where people should be able to relax and feel comfortable," says Johnalyn Gordon, Ph.D., lead author on the study and a postdoctoral associate at the University of Florida.

Gordon conducted the study while a graduate research assistant at the University of Kentucky in the lab of Zach DeVries, Ph.D., assistant professor of urban entomology and senior author on the study.

Cockroach control, while challenging at times, is obtainable, the researchers say, but it typically is time intensive and costly in terms of products applied. A key problem is that German cockroaches are almost universally resistant to pyrethroids.

"Due to the frequent use of pyrethroid-based residual products, it is very likely that German cockroaches inside of homes will have some degree of pyrethroid resistance," Gordon says. "To the best of our knowledge, a pyrethroid-susceptible German cockroach population has not been documented from the field in decades."

However, current requirements from the U.S. Environmental Protection Agency do not require insecticide products to be tested on cockroaches recently collected from the field or with demonstrated insecticide resistance.

"Hopefully studies like this one can drive changes in product testing and evaluation, so that labels accurately reflect the level of control these products can provide," Gordon says.

Additional factors likely contribute to the poor performance of the residual spray products, such as surface type and cockroach behavior. Gordon and colleagues tested the sprays on painted drywall, ceramic tile, and stainless steel and found that they performed significantly worse on drywall.

Even a population of cockroaches without resistance to pyrethroids that was included in the study was minimally affected by the residual sprays on drywall.

"This suggests that how porous a surface is may have a significant impact on product efficacy," Gordon says. "Given common applications of residual insecticides along baseboards, reduced efficacy on painted drywall was a particularly striking finding."

Meanwhile, cockroaches are unlikely to come to rest for extended periods on surfaces treated with insecticides, both because they are often on the move and because they may actively avoid them.

A separate study in DeVries' lab published in 2023 found resistant German cockroaches will not remain in contact with pyrethroid-treated surfaces for an extended period of time, if given the choice.

Combined, these factors paint a dim picture for cockroach control via insecticide sprays. "Based on our results, pyrethroid-based DIY products are likely to fail against German cockroaches inside the home, especially if they are being used as residual products," Gordon says.

More promising DIY options for cockroach control include gel or liquid baits, which attract roaches to a food source laden with a slow-acting insecticide, Gordon says.

Ideally, consumers could also have access to affordable professional pest-control services that take a multipronged approach known as integrated pest management, or IPM. However, this is often not the case for residents of low-income, multi-family housing, where cockroach infestations are often stubbornly persistent.

"There is a strong base of knowledge and research on how we can control cockroaches, but there are numerous economic and procedural barriers that mean that this control is not occurring in these areas, arguably where it is the most needed," Gordon says.

"Targeting improved technologies that can close these management gaps is really critical to achieving accessible pest management, whether that is through different active ingredients and modes of action, formulations, or product-deployment strategies."

Journal information: Journal of Economic Entomology

Provided by Entomological Society of America

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