Today, we will begin with a fundamental topic in research: Research Methodology. Whether you’re in the field of economics, social sciences, or agriculture, research is the foundation for making informed decisions and solving real-world problems. Research methodology refers to the organized methods and steps we follow to conduct research, collect data, and analyze results. We will understand the difference between research methods and research methodology.
In this lecture, we will explain the importance of research, the different types of research, and how it impacts various sectors like agriculture, medicine, and technology. We will also discuss some case studies from countries like Pakistan, India, and Bangladesh to help you connect theory with practice. By the end of this session, you will understand how research can transform industries, improve lives, and contribute to economic growth.
Definition of Research
- Research means finding new facts or solving problems. It is a systematic process.
- We collect data, analyze it, and come to a conclusion.
- Think of research as a process of discovery. Just like when you try to find out why a plant grows better in one spot of your garden than another.
Importance and Objectives of Research
Now, why do we need research? Why is it important?
- Research helps us solve real-world problems.
- It gives us new knowledge that improves our lives.
- Research helps companies, governments, and even students like you.
For example:
- Medicine: Scientists research to find cures for diseases.
- Agriculture: Farmers research which crops grow best in their climate.
- Technology: Companies research to build faster and cheaper smartphones.
Case Study: Cotton Farming Research in Pakistan (2022)
In Pakistan, cotton farming is one of the most important sectors of the agricultural economy. Pakistan is the fourth-largest cotton producer in the world, after countries like India, China, and the United States. Cotton, also known as “white gold,” contributes significantly to Pakistan’s textile industry, which provides over 60% of the country’s export revenue. However, for many years, farmers faced problems such as low yield, pest attacks, and climate change impacts.
To address these issues, scientists in Pakistan conducted research to improve cotton farming techniques and practices. This research has led to remarkable results, and in this case study, we will explore how research transformed cotton farming in Pakistan.
The Problem: Low Yields and Pest Infestations
For many years, cotton farmers in Pakistan struggled with low yields and frequent pest infestations, particularly from the cotton bollworm and whitefly. These pests caused significant damage to cotton crops, reducing yields and making it difficult for farmers to sustain their livelihoods.
Climate change also made the situation worse. Rising temperatures and unpredictable rainfall patterns meant that farmers had a harder time managing their crops. The combination of pests and climate stress led to a decrease in overall cotton production in Pakistan, affecting not only farmers but also the textile industry that relies on cotton.
The Research: Introducing Genetically Modified (GM) Cotton
To address these problems, scientists from Pakistan’s Central Cotton Research Institute (CCRI) and other agricultural research institutions began studying new methods to improve cotton yield. One of the key breakthroughs was the introduction of genetically modified (GM) cotton, specifically Bt cotton.
Bt cotton is a type of genetically modified cotton that contains a gene from the Bacillus thuringiensis (Bt) bacterium, which makes the cotton plant resistant to the bollworm pest. The Bt gene produces a toxin that kills bollworms when they feed on the cotton plant, reducing the need for pesticides.
Results: Increase in Cotton Yield and Production
The introduction of Bt cotton had a positive impact on cotton production in Pakistan. Here are some key results from the research and implementation of new cotton farming techniques:
- Increased Yield: Farmers who adopted Bt cotton saw an increase in cotton yields by 30% to 50%, depending on the region.
- Reduced Pesticide Use: Bt cotton helped reduce the need for chemical pesticides by about 60%. This not only lowered farming costs but also reduced the environmental impact of pesticide use.
- Improved Income: With higher yields and lower pesticide costs, farmers’ incomes improved significantly. According to the Pakistan Central Cotton Committee (PCCC), farmers earned about 20% more profit after switching to Bt cotton.
- Adoption Rate: Today, over 80% of Pakistan’s cotton fields are planted with Bt cotton varieties.
Fact: Pakistan produced over 9 million bales of cotton in the 2021-2022 season, contributing to the country’s economic growth. However, this was lower than expected due to recent floods and climate challenges, highlighting the need for further research to improve climate resilience.
Challenges and the Way Forward
While Bt cotton has provided significant benefits, there are still challenges. For instance, some pests, such as the whitefly, are not affected by Bt cotton, and farmers still need to use pesticides for these pests. There are also concerns about the development of resistance to the Bt toxin in some bollworm populations, which could reduce the effectiveness of Bt cotton over time.
To address these challenges, ongoing research is focusing on:
- Developing new GM cotton varieties that are resistant to a broader range of pests.
- Improving climate resilience by breeding cotton that can withstand heat and drought.
- Encouraging better farming practices, such as crop rotation and integrated pest management, to sustain long-term cotton production.
Real-World Impact on the Textile Industry
The increased production of cotton in Pakistan has had a direct positive impact on the country’s textile industry. Since 60% of Pakistan’s exports come from textiles, improved cotton farming has helped strengthen Pakistan’s export market and has created more jobs in the garment manufacturing sector. Countries like the United States, the United Kingdom, and China are major importers of Pakistan’s cotton-based products.
Types of Research
There are three main types of research. Each type is important, depending on what you are studying:
Quantitative Research, Quantitative Research, and Mixed Method.
Qualitative Research
- This type focuses on words and meanings.
- It is used when we want to understand people’s thoughts or opinions.
- Example: If you want to know why students in Pakistan prefer online learning, you can interview them and analyze their answers.
Quantitative Research
- This type focuses on numbers.
- We collect data using surveys or experiments.
- Example: A company in India may collect data on how many people buy their product. They use this data to improve their sales.
Mixed Methods
- This type combines qualitative and quantitative methods.
- It gives a more complete understanding.
- Example: A study can include both interviews (qualitative) and surveys (quantitative) to understand a problem from different sides.
Research Process
Now, how do we conduct research? There are several steps and we will discuss them in detail in upcoming lectures.
- Identifying the Problem:
- First, we need to know what problem we want to solve.
- Example: Why are students of a university not using library resources?
- Reviewing the Literature:
- Next, we need to study what other researchers have said about this problem.
- Example: Read previous studies about how students in Pakistan, India, or other countries use libraries.
- Forming Hypotheses:
- A hypothesis is an educated guess. It is a statement that we will test in our research.
- Example: “Students who attend more library workshops perform better in exams.”
- Collecting Data:
- This is when we gather information to test our hypothesis.
- We can use surveys, interviews, or experiments.
- Example: In your university, you can survey students to find out how often they visit the library.
- Analyzing Data:
- After collecting data, we analyze it. We use statistical tools to find patterns.
- Example: You may find that students who visit the library more frequently score better on exams.
- Conclusion:
- Finally, we conclude whether our hypothesis was correct or not.
- Example: “Yes, students who attend library workshops perform better in exams.”
Philosophical Foundations of Research Methodology
When we conduct research, we rely on certain philosophies to guide our approach. These philosophies are the underlying beliefs about how knowledge is gained and understood. There are three important philosophies: Positivism, Interpretivism, and Pragmatism. Each of these has a different way of looking at research and is used in different situations, depending on the problem or subject being studied.
Positivism
Positivism is a philosophy that believes facts and measurable data give us the truth about the world. This approach is commonly used in scientific research because it focuses on objective data that can be observed, measured, and quantified. In other words, it assumes that knowledge can only come from what we can see and measure.
- Key Idea: Reality exists independently of human perception. Researchers can discover it through observation.
- Data Collection: Researchers in this tradition rely on data such as surveys, experiments, or statistics to make conclusions. The results are usually presented as numbers, graphs, or charts.
- Objective Research: Positivism emphasizes objectivity, meaning that personal feelings or opinions should not interfere with the research process.
Case Study on Education in Pakistan (2015): Positivism
- Study: Researchers collected data to analyze the dropout rates in schools across rural areas of Pakistan.
- Objective: To understand the causes behind low school attendance.
- Method: They used surveys to gather quantitative data from schools. This data was then used to calculate the percentage of students leaving school early.
- Results: The data showed that economic factors and long travel distances to schools were the main reasons for dropouts.
- Conclusion: The study provided objective facts that helped the government focus on building more schools in rural areas.
Interpretivism
Interpretivism takes a different view. This philosophy believes that to understand the world, we need to understand people’s experiences and how they interpret their own realities. While positivism focuses on numbers, Interpretivism focuses on human emotions, behaviors, and social contexts. It looks at the subjective meanings that people attach to their experiences.
- Key Idea: Reality is constructed by individuals based on their experiences and perspectives. Therefore, researchers should explore the meanings and reasons behind people’s actions.
- Data Collection: Researchers typically use qualitative methods like interviews, focus groups, or participant observation. They collect descriptive data rather than numerical data.
- Context and Meaning: Interpretivists believe that understanding context is crucial. They focus on the “why” and “how” behind human behavior.
Case Study on Farmer Suicides in India (2017): Interpretivism
- Study: Researchers interviewed farmers in India to understand why some were facing severe stress and committing suicide.
- Objective: To explore the personal experiences and challenges of these farmers.
- Method: Researchers used qualitative interviews to gather stories from farmers and their families.
- Results: The study revealed that debt, crop failure, and family pressures were the main causes of stress. Many farmers felt helpless due to poor crop prices and high loan interests.
- Conclusion: The findings helped raise awareness about the mental health crisis in rural farming communities, leading to policy changes.
Pragmatism (Practicality)
Pragmatism is a flexible and practical approach. It believes that the best research method is the one that works for the problem at hand. Unlike positivism and Interpretivism, which are either more objective or more subjective, pragmatism suggests that researchers should use a combination of methods to solve real-world problems.
- Key Idea: Truth is what works in practice. Researchers are free to use both qualitative and quantitative methods to get a complete understanding of a problem.
- Data Collection: Pragmatists might use surveys (quantitative) to get broad data and interviews (qualitative) to get more detailed, personal insights. They are open to using any tool that helps them understand the research problem.
- Real-World Application: Pragmatism is focused on the practical outcomes of research rather than sticking strictly to one philosophy.
Case Study on Improving Public Health in Bangladesh (2018): Pragmatism
- Study: A research team wanted to improve health services in rural Bangladesh.
- Objective: To understand how to better serve patients in underdeveloped areas.
- Method: They used surveys to collect quantitative data from patients on service satisfaction. At the same time, they conducted interviews with doctors and nurses to gather qualitative insights about the challenges they faced, such as a lack of medical supplies.
- Results: The combined data helped show that both resource shortages and management issues were causing problems.
- Conclusion: Based on this, the government increased medical supplies and improved training programs for staff.
Summary
Each of these three research philosophies: Positivism, Interpretivism, and Pragmatism, offers different ways to approach research. The choice depends on the nature of the research question.
- Positivism is great for when we need clear, measurable data.
- Interpretivism helps us when we need to understand people’s experiences and emotions.
- Pragmatism allows us to combine approaches, offering flexibility and practical solutions.
As researchers, you will often have to decide which approach works best for your study. Understanding these philosophies will help you choose the right method and improve the quality of your research.
Case Study to Understand Philosophy of Research: Digital Research in India (2021)
We present here an important case study to make you understand the philosophy of research. India has made remarkable progress in digital research over the past few decades, particularly through initiatives led by the National Informatics Centre (NIC). Founded in 1976, NIC has played a critical role in the digitization of government services and improving public service delivery.
One of its most impactful projects has been the development of software systems to enhance government services, making them more accessible and efficient for millions of citizens. A significant achievement in this regard is the digitization of the passport application process, which transformed how Indian citizens access one of the most essential public services.
The Problem: Slow and Inefficient Public Services
Before digital reforms, many government services in India were slow and often burdened by bureaucracy. Applying for services like a passport involved long waits, manual paperwork, and frequent delays. It was not uncommon for citizens to spend weeks or even months waiting for basic government documents, such as passports or identity cards.
The lack of digitization made the process inefficient and prone to corruption, as middlemen often charged fees to “accelerate” these services. There was an urgent need to simplify and speed up the system to make it accessible for the average citizen, especially as India’s population continued to grow.
The Solution: NIC’s Digital Research and Passport Seva Project
In response to these challenges, the National Informatics Centre (NIC) began researching and developing digital solutions to streamline government services. The goal was to reduce human interaction, minimize paperwork, and increase efficiency. One of NIC’s flagship projects, launched in 2010, was the Passport Seva Project (PSP).
This project aimed to digitize the entire passport application process. NIC developed an online portal where citizens could apply for passports, book appointments, and track the status of their applications in real-time. Here’s how it worked:
- Online Application: Citizens could fill out forms and upload required documents online, reducing the need to visit passport offices multiple times.
- Automated Appointments: The system automatically schedules appointments at Passport Seva Kendras (PSKs), specialized centers set up for processing applications.
- Real-Time Status Updates: Applicants could track the progress of their applications online and receive updates via email or SMS.
- Police Verification Integration: One of the main causes of delays was the police verification process. The digital system integrated with police databases, speeding up the verification process.
Results: Faster Service and Improved Public Access
The Passport Seva Project was a success, bringing about significant improvements in the delivery of public services. Here are some key results:
- Reduction in Processing Time: The processing time for passport applications was reduced from several weeks to just 10-14 days. In some cities, it took as little as one week to receive a passport.
- Greater Transparency: The online system eliminated middlemen and reduced opportunities for corruption. Since all the processes were now automated and transparent, citizens could directly access services without paying bribes or facing unnecessary delays.
- User Convenience: Citizens could now apply for passports from their homes, saving time and travel costs. This was especially important for people living in rural and remote areas. This supportive experience is shared by millions of Indians who now enjoy faster, more transparent government services.
- Widespread Adoption: As of 2021, more than 80 million passports have been issued through the Passport Seva System. The system has received praise for its efficiency and continues to be an example of how digital research can improve the daily lives of millions of people.
Fact: In 2021, India issued over 13.8 million passports, a testament to the successful implementation of this digital system.
Impact on Other Government Services
The success of the Passport Seva Project encouraged the Indian government to expand its digitization efforts to other areas. Today, many government services, such as tax filing, voter registration, and driving license applications, are available online through similar platforms. The Digital India initiative, launched in 2015, further accelerated these efforts, intending to make India a digitally empowered society and knowledge economy.
Challenges and the Future of Digital Research
Despite the progress, there are still challenges to overcome, such as the digital divide in rural areas where internet access may be limited. The Indian government is continuing its research and development efforts to improve the accessibility of digital services, especially for the rural population.
Going forward, initiatives like AI integration, big data analysis, and blockchain technology are expected to further revolutionize public services. NIC is at the forefront of this digital transformation, ensuring that India’s services remain efficient and accessible to all citizens.
Difference between Research Methods and Research Methodology
Research methods and research methodology are often confused, but they refer to different aspects of the research process.
Research Methods
Research methods refer to the specific techniques or tools that researchers use to collect and analyze data. These are the practical steps involved in the research process.
- Examples of Research Methods:
- Surveys
- Interviews
- Experiments
- Observations
- Statistical Analysis
Methods can be quantitative (like surveys with statistical analysis) or qualitative (like interviews that explore opinions).
World Around Us
In economics, the 2017 case study of demonetization in India used surveys and statistical analysis to evaluate its impact on informal workers. Researchers surveyed 2,500 small businesses across different regions and found that 87% of informal workers faced economic losses due to the sudden cash crunch. This data collection through surveys is an example of research methods in action.
Research Methodology
Research methodology is the theoretical framework or approach behind the research. It explains why certain methods are chosen and how they align with the overall research goals. It helps in determining the validity of the methods chosen and connects them with the research objectives.
- Key Elements of Research Methodology:
- The philosophy of research (e.g., Positivism, Interpretivism)
- The research design (e.g., experimental, case study, longitudinal. We will discuss it in detail in next chapter)
- The justification for choosing specific methods
World Around Us
In a 2010 study examining monetary policy in developing economies, researchers used a mixed-method approach to understand the effectiveness of interest rate policies in Pakistan. They combined quantitative data from economic models with qualitative interviews of central bankers. Their methodology was a mix of positivism (relying on measurable facts) and Interpretivism (seeking perspectives from key stakeholders). This combination strengthened the research findings.
Key Differences:
- Research Methods: Practical tools or techniques used for data collection.
- Research Methodology: The reasoning or theory behind choosing specific methods.
World Around Us
In a 2020 study of agrarian reforms in India, researchers applied surveys as a method to collect data from 5,000 farmers, but the methodology was framed within a longitudinal design to capture the impact of reforms over time. The study found that 62% of farmers experienced losses due to market changes. Here, the methodology determined the need for long-term data collection to understand trends over the years.
Summary
- Research methods focus on “how” to collect and analyze data.
- Research methodology addresses “why” and “what” guides the use of these methods. Both elements are essential to a successful research project, especially in complex fields like economics, where data must be both reliable and aligned with research goals.
Challenges in Research
Research, especially in developing countries like Pakistan, India, and Bangladesh, faces several challenges. These challenges impact the quality of research and its overall results.
Limited Resources
Many researchers in developing countries struggle due to insufficient funds, outdated technology, or a lack of skilled staff. Conducting quality research under such conditions becomes difficult.
Case Study: Health Research in Bangladesh (2016)
In 2016, a study focused on maternal health services in rural Bangladesh faced severe delays. Researchers lacked proper transportation and trained staff to collect data. Rural hospitals also did not have enough medical supplies, which made the research even harder to complete.
- Fact: Bangladesh’s healthcare spending was only 2.37% of its GDP, much lower than the global average of 10% at that time.
- Conclusion: Lack of resources significantly delays research, which affects policy and decision-making.
Cultural Barriers
In many developing countries, cultural beliefs can influence how people engage with research. Sometimes, people refuse to participate, or the research may go against their values.
Case Study: Vaccination Research in Pakistan (2014)
A study conducted in 2014 on polio vaccinations in Pakistan faced significant challenges. Due to cultural and religious beliefs, many families in rural areas refused to allow their children to be vaccinated. This refusal stemmed from mistrust of the medical system and fear of negative side effects.
- Fact: In 2014, Pakistan reported 306 cases of polio, the highest in the world, largely due to low vaccination participation.
- Conclusion: Cultural beliefs can act as a barrier to effective research, especially in sensitive areas like healthcare.
Biases
Researchers must remain neutral and not let personal beliefs or connections affect their work. When bias enters research, the results can become skewed and twisted leading to false conclusions.
Case Study: Agricultural Research in India (2019)
In 2019, a study on the effects of pesticides on crops in India was found to be biased. The researchers had close connections to pesticide companies, and as a result, they minimized the harmful effects of pesticide use in their findings. This led farmers to continue using toxic chemicals, harming crops and public health.
- Fact: India is the fourth-largest consumer of pesticides worldwide, and biased research worsens the situation by promoting harmful practices.
- Conclusion: Bias can seriously distort research outcomes, leading to bad policy decisions that negatively impact society.
Ethical Considerations
Ethical challenges are also crucial, especially when human subjects are involved in research. Researchers need to ensure transparency and fairness.
Case Study: Clinical Trials in India (2013)
In 2013, several pharmaceutical companies in India were accused of unethical practices in clinical trials. Vulnerable populations were involved without fully understanding the risks. This led to widespread criticism and tighter regulations on medical research.
- Fact: India introduced stricter laws for clinical trials in 2013 after this incident.
- Conclusion: Ensuring ethical practices is critical to maintaining trust in research.
Time Management and Organizational Skills
Time management is a critical part of research. Researchers need to organize their work to meet deadlines, especially when dealing with long-term projects. Managing time effectively ensures that data collection, analysis, and reporting happen smoothly.
Importance in Research
In research, tasks like gathering data, conducting experiments, and writing reports take time. Without proper planning, researchers may struggle to complete these tasks. Poor time management can lead to rushed work, mistakes, and missed opportunities to explore important areas.
Case Study: Economic Research on Poverty in India (2018)
In 2018, researchers in India conducted a study on poverty and income inequality in rural areas. The project aimed to gather detailed data on the living standards of rural households over two years. However, poor time management caused delays. Data collection took longer than planned, and as a result, they had to cut short the analysis phase to meet the final deadline. This limited their findings, and they missed out on important insights about seasonal poverty.
- Fact: The researchers intended to cover 20 villages but managed only 15 due to delays.
- Conclusion: Poor time management affected the quality and depth of the research, highlighting the need for proper planning in lengthy studies.
Organizational Skills
Good organizational skills are also important. Researchers must organize their data, files, and findings to avoid confusion. Poor organization can result in lost data or incomplete results.
Case Study: Financial Inclusion Study in Kenya (2017)
In 2017, a study in Kenya focused on financial inclusion and mobile banking. The research team had to manage vast amounts of data, including surveys from thousands of mobile banking users. However, due to poor organization, they lost a large portion of the survey data. This set the project back, and they had to redo several months of work, wasting both time and resources.
- Fact: Around 20% of survey responses were lost due to poor data organization, delaying the research by 4 months.
- Conclusion: Proper data organization is crucial to avoid setbacks in research projects.
Tools for Better Time Management
Researchers can use tools like Gantt charts, project management software (such as Trello or Asana), and data management systems to stay organized. These tools help divide work into manageable chunks, set deadlines, and track progress.
World Around Us
In many large-scale projects, time management is the key to success. For instance, economic research sponsored by governments often involves strict timelines for funding and reporting. If the research is not completed on time, it can affect policy decisions or budget allocations.
- Fact: In a World Bank study, over 30% of development research projects faced delays due to poor time management.
Summary
These real-world examples show how different challenges—limited resources, cultural barriers, bias, and ethical issues—affect research quality. Overcoming these challenges is crucial to producing reliable, impactful studies.
Effective time management and organization are crucial for the success of any research project. When researchers fail to manage their time well, they risk producing incomplete or inaccurate results, which can affect policy and decision-making.
Conclusion
In conclusion, research is a powerful tool that helps solve real-world problems. It is systematic, logical, and practical. As future researchers, you must ask important questions, and gather and analyze data. The key is to remain curious and open-minded.
This is just the beginning. As we move forward, we will explore different types of research and methods in more detail. But always remember, research is about discovery, and the world awaits your ideas.
Research Methodology through the Lens of Behavioral Economics
Behavioral Economics’ Interest in Context and Environment
- Behavioral economics investigates how individuals make economic decisions, often influenced by factors such as social context, emotions, and cognitive biases. Ethnography, with its immersive approach, provides detailed insights into these contexts.
- For instance, if studying saving behaviors among low-income groups in rural Bangladesh, an ethnographer can reveal social pressures, norms, or community dynamics that impact decision-making. Behavioral economics uses these insights to understand why people might make financial choices that deviate from purely rational expectations.
Ethnography Reveals Hidden Influences on Economic Choices
- Traditional economics often assumes rational behavior; behavioral economics explores why people act differently. Ethnographic studies offer real-world data that can challenge assumptions of rationality by uncovering behavioral influences like risk aversion, peer influence, or mental accounting.
- Case Example: In Kenya’s informal savings groups, observed through ethnography, members often save to meet social expectations rather than for personal gain. Behavioral economics would interpret this as social influence and loss aversion impacting economic behavior, leading individuals to prioritize community over financial optimization.
Ethnographic Data as Evidence of Behavioral Biases
- Ethnography documents real-life decision-making processes that often involve cognitive biases such as overconfidence, loss aversion, or present bias. These behaviors directly align with behavioral economics’ goal of explaining deviations from expected utility theory.
- Case Example: An ethnographic study on microloans in India found that women often borrowed despite limited repayment ability due to overconfidence in future income. Behavioral economics terms this as “over-optimism bias,” which drives decisions against logical financial assessment.
Developing Better Economic Policies
- Ethnographic findings enrich behavioral economics by helping policymakers design policies considering local contexts and behavioral tendencies. Policies informed by both can be more effective, especially in low-income settings where social and psychological factors play major roles.
- Case Example: Ethnographic studies on spending behavior in Brazil’s informal economy showed that cash transfers led to increased spending on family health. Using this evidence, behavioral economics might suggest similar policies in other regions, predicting similar spending patterns based on social norms.
Summary
The in-depth understanding provided by ethnographic studies complements behavioral economics by supplying empirical insights into behavioral biases, social influences, and cultural contexts. This connection offers a holistic approach, combining cultural depth with theoretical models to better understand economic behavior, especially in diverse or underserved communities.
Critical Thinking
- What is a research methodology, and why is it essential in academic research?
- How does research methodology differ from research methods?
- What are the key steps involved in conducting research?
- Why is it important to have a clear research question at the start of your research process?
- How do qualitative and quantitative research methods differ? Can they be used together?
- What are the strengths and weaknesses of qualitative research?
- In what situations would you prefer quantitative research over qualitative research?
- How can understanding research methodology help you evaluate the quality of other research papers?
- How do time and resource constraints affect the choice of research methodology?
- How does the choice of research methodology influence the reliability and validity of research findings?
References
- Pakistan Central Cotton Committee: PCCC Official Website
- International Cotton Advisory Committee (ICAC): ICAC Cotton Data
- Bt Cotton in Pakistan: FAO Study
- National Informatics Centre (NIC): NIC Official Website
- Passport Seva Project: Passport Seva Portal
- Digital India Initiative: Digital India Website
- Indian demonetization survey (2017)
- Economic impact of demonetization (2017)
- Study on monetary policy in Pakistan (2010)
- Agrarian Reforms Impact (2020)
- For further reading and reference links:
- World Bank – Bangladesh Healthcare Spending
- WHO – Polio Situation in Pakistan
- World Bank Study on Delays in Research Projects
- Global Recession
