example of economics research proposal

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Course info, instructors.

• Prof. Esther Duflo
• Prof. Benjamin Olken

Departments

As taught in.

• Developmental Economics
• Microeconomics

Learning Resource Types

Development economics, research proposal.

The maximum length of the write-up should be 3 pages single-spaced (but less is fine). The goal of this research proposal is to give you a “jump start” on working on a topic that you could (ideally) work on for your second-year paper (or a future paper for your dissertation). If you are in the second year, it is okay for you to talk about the topic that you will be working on for your second-year paper. It should be development though… (but as you know development is a big tent). 

You can co-author the proposal with any student(s) in the program. However, we would like to  see as many proposals as people in the class. 

Note that the deadline is the last possible date that we are allowed to accept assignments under end  of term regulations, so we will not be able to provide extensions. Please therefore budget your time wisely. 

The proposal should include 

•  A clear statement of your research question       
• Brief motivation of your research question       a. Why is this question important?        b. What is the policy implication?        c. What (if any) economic theory it is testing? 
• (Short) Review of the relevant theoretical and/or empirical literature. 
• Description of your proposed empirical strategy and proposed (realistic) data sources.        a. You can propose an RCT where you’d collect the data, as long as it is realistic for a PhD student (not necessarily in the scope of a second year paper).        b. If you project is empirical, write-out clearly and in detail what are the proposed        regression specifications.  
• Clear discussion of your contribution to the prior literature.       
• Clear discussion of what challenges you expect to encounter. 

Think of this project as the shell of a research paper that contains everything but your findings: you will motivate the question; place it in the literature; and lay out your data sources (if any) and your research design. We do not expect to see any preliminary results (for empirical papers) or fully fledged model (for theory paper).

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School of Economics

Writing a research proposal.

Developing a research proposal is a necessary part of the application process it:

• provides a basis for decision-making;
• helps to make sure that you get the most appropriate supervisor for your research.

Your research proposal does not commit you to researching in a specific area if your application is successful. 

Following a successful application, you need to provide a more comprehensive proposal which will be useful reference as your research develops.

How to write a research proposal

Organise your proposal should around a small set of ideas or hypotheses that you would like to investigate. Provide some evidence of relevant background reading if possible.

A typical research proposal might look something like this:

• Rationale for the research project, including: a description of the phenomenon of interest, and the context(s) and situation in which you think the research will take place; an explanation of why the topic is of interest to the author; and an outline of the reasons why the topic should be of interest to research and/ or practice (the 'so what?' question); a statement of how the research fits in with that of potential supervisor(s) in the School of Economics.
• Issues and initial research question. Within the phenomenon of interest: what issue(s) do you intend to investigate? (This may be quite imprecise at the application stage); what might be some of the key literatures that might inform the issues (again, indicative at the application stage); and, as precisely as you can, what is the question you are trying to answer?
• Intended methodology: How do you think you might go about answering the question? Do you have a preference for using quantitative methods such as survey based research, or for qualitative methods such as interviews and observation?
• Expected outcomes: how do you think the research might add to existing knowledge; what might it enable organisations or interested parties to do differently?
• Timetable: What is your initial estimation of the timetable of the dissertation? When will each of the key stages start and finish (refining proposal; literature review; developing research methods; fieldwork; analysis; writing the draft; final submission). There are likely to overlaps between the stages.

An initial research proposal that forms part of a PhD application should be between 600 and 1,000 words in length.

School of Social Sciences

Writing your economics research proposal

If you are applying to the Economics postgraduate research programme, you will need to submit a research proposal with your application.

The nature of your proposal will depend on when you apply.

The role of the proposal

For entry into Year 1 of the programme, the proposal is used to:

• identify your broad areas of interest;
• see if you have consulted relevant literature beyond the standard textbooks;
• obtain an impression of your ability to think critically;
• assess what motivates you to pursue a research degree in economics.

Proposal guidelines

For entry into Year 1 of the programme, the research proposal is expected to include the following:

• The  research area  with which you would expect to be affiliated;
• The member(s) of staff you would like to provide supervision (this information is also requested in the online application form under ‘Proposed research supervisor’); You are strongly encouraged to contact a preferred supervisor in advance of submitting an application to get their input into developing your research proposal.
• A description of the area in which you expect your eventual research to be. This should describe possible research questions you might address, and describe why you find them interesting and relevant. In so doing, you should relate the possible research questions to the extant literature in this area of economics;
• You should identify and address any potential ethical considerations in relation to your proposed research. Please discuss your research with your proposed supervisor to see how best to progress your ideas in line with University of Manchester ethics guidance, and ensure that your proposed supervisor is happy for you to proceed with your application;
• A bibliography of any journal articles and books to which you have referred;
• No more than 1500 words.

If you are seeking entry into Year 2 you are expected to have more developed research ideas. Your proposal will be used to assess:

• the quality and originality of your ideas;
• whether you are able to think critically;
• if you have a grasp of the relevant literature.

It will also give us:

• important information about the perspectives you intend to take in your research area;
• how you fit into the Economic department’s research profile;
• an idea how to allocate a supervisory team.

For entry into Year 2 of the programme, the research proposal is expected to include the following:

• The member(s) of staff you would like to provide supervision (this information is also requested in the online application form under ‘Proposed research supervisor’); You are strongly encouraged to contact a preferred supervisor prior to submitting your application to get their input into your research proposal.
• A detailed description of the area in which you expect your eventual research to be. This should describe the specific research questions you plan to address, the research methods you expect to use, and the expected data source for any empirical work planned.

The proposal should also:

• Describe why you find these research questions interesting and relevant, and relate the specific research questions to the extant literature in this area of economics;
• You should identify and address any potential ethical considerations in relation to your proposed research. Please discuss your research with your proposed supervisor to see how best to progress your ideas in line with University of Manchester ethics guidance, and ensure that your proposed supervisor is happy for you to proceed with your application.
• Around 1500 words. In exceptional cases proposals significantly exceeding the word limit will be accepted.

The University uses electronic systems to detect plagiarism and other forms of academic malpractice and for assessment. All Humanities PhD programmes require the submission of a research proposal as part of the application process. The Doctoral Academy upholds the principle that where a candidate approaches the University with a project of study, this should be original. While it is understandable that research may arise out of previous studies, it is vital that your research proposal is not the subject of plagiarism.

Allocation of supervisors

For Year 1 entrants, the proposal is used to allocate a preliminary supervisor to act as mentor during the first year of study. This person will normally also act as a supervisor and may also become your MSc-dissertation supervisor. The exact composition of your supervisory team will be decided by the end of Year 1.

You will not be forced to follow the proposal exactly once you have started to study. It is normal for students to refine their original proposal over time.

With this in mind, the composition of your supervisory team may also change. Please note that members of staff are only expected to provide supervision in areas that are of interest to them and admittance to the programme does not imply the provision of supervision on any topic devised by the student.

Further information

• How to write a personal statement
• Economics research area groups
• Find an economics supervisor

If you need help and advice about your application, contact the Postgraduate Admissions Team.

Admissions contacts

University guidelines

You may also find it useful to read the advice and guidance on the University website about writing a proposal for your research degree application.

Visit the University website

• ⋮⋮⋮ ×

Empirical Economics Research Proposal

Most of the traditional undergraduate curriculum engages students as consumers of empirical research. But in the senior year, many programs invite students to become producers of novel work. Many students find this transition difficult because the skill set required to be a critical reader are insufficient for being an effective researcher. In particular, as researchers students must learn how to generate interesting questions with clear connections to theory; where to find relevant data to answer the posed question; how to shrewdly revise the research question in light of data availability; and how to situate the original work within an existing literature. This assignment gives sophomores and juniors a chance to practice these skills in the context of a 5-page research proposal.

Expand for more detail

Activity Classification and Connections to Related Resources Collapse

Grade level, learning goals.

• generate an interesting research question with a clear connection to economic theory
• find and evaluate sources of data relevant to the proposed question
• place an original research idea in the context of an existing literature

Context for Use

Description and teaching materials.

• Literature by Major and
• Statistics and data .

Teaching Notes and Tips

• Students have a hard time generating questions that have connections to theory. For instance, they may propose "price discrimination" as their research "question." They need help coming up with an hypothesis that could be accepted or rejected. Ultimately, I sometimes give students a question related to the area of their interest. The degree of hand-holding can be reflecting in grading under "creativity of the proposed question."
• Based on past paper-writing experience, students often think they can whip together a 5-page paper in a day or two. By requiring that they hand in draft work early on in the term, you can avoid the inevitable mess that results when students realize that it takes a good bit of time to generate a research topic and identify relevant data sources.
• The genre of a research proposal is novel to most students. It takes many iterations to convince them that I really don't want them to actually do any analysis—just clearly plan and lay out the work.
• Students tend to think of the primary literature as a canon rather than as a discussion between colleagues. A few minutes discussing this when the assignment is given out can help situate students' thinking.
• Note that the assignment limits the extent of the literature review to 5 primary literature papers. This is important to making the assignment feasible. While the literature is invariably much larger and no senior should start their thesis without a comprehensive understanding of what has come before, 5 papers is sufficient to give students a feel for how to place their work in the context of prior understanding.
• How well does the student motivate the topic? (I encourage them to use a few well-chosen numbers to place the proposed topic in context or to frame the importance of the question. This use of quantitative reasoning may not always be relevant, however.)
• How well does the student situate the proposal in the context of existing work?
• Does the proposed question connect clearly from theory? Is it really true that theory speaks to the proposed analysis?
• How insightful/creative is the proposed question?
• Will the identified data allow the student to answer the proposed question? Is the sample size reasonably large? Is the dataset truly accessible?
• Is the paper well organized? Does it include clear transition sentences? Did I ever get "lost"?
• Is the paper clear of surface error?
• Intangibles: Is the paper well-written and easy to read?

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Smart tips for a tip-top economics research proposal.

Economics is a subject that most students shy away from attributing a wide array of factors. Some would argue that the statistics and calculations behind it are tedious and boring, unlike other disciplines. That is why a business student would prefer looking for a sample research proposal in economics on the internet to get his/her assignment done.

However, you’d be surprised to know that you do not need a research proposal in economics example to complete your homework. What do you need then? Scroll down to unveil the secret you’ve been missing all this while.

What Is A Research Proposal Economics?

It is a gateway to the real research paper that performs the following functions:

• Summing up the nature of the proposed economic research
• Describing its context and details
• Showing the existing knowledge of economics

Unlike other papers written in college, this one is relatively short and won’t take up much of your writing time. A sample research proposal in economics gives you a chance to analyze the subject matter and its intended research before committing to work on it.

Economics Research Proposal Outline

Knowing how to write such a paper does not need a brilliant mind. All you need is to understand its structure, including all the sections and what each of them entails. So, before you settle down to start writing your economics research proposal, pause to think about the following:

What is your research going to be about? What is the relevance of the topic to you and society at large? How are you going to perform the research?

Once these three are in order, the next stage is to carry on with the writing. To excel in this second stage, you need to know the structure of this kind of paper. Despite the variations among different institutions on the economics research proposal structure, here is a standard guide:

• Introduction:

It is the first chapter after the title page that contains the section below:

• Background information to the problem.
• Statement of the problem
• Objectives of the study
• The research questions
• Significance and scope of the study
• Limitations of the study

The introduction is also referred to as the ‘why’ part of the proposal. It should also develop interest on the part of the reader through its currency and relevance.

• Literature Review

Review the existing literature on the economics topic you are handling while showing the link between the two. It would help if you did this chronologically – from the earliest to the latest material. The literature review also involves identifying the gaps left by other researchers.

• Methodology Section

This chapter indicates the type of research design you intend to use in your study. It would be best to analyze your research problem economics’ theoretical tools such as production and cost, demand and supply, and customer behavior, among others.

Depending on the type of research data method you choose to use (primary or secondary), this section may vary in length and structure.

It provides a summary of the deliberations above. The conclusion refers back to the original question and restating your proposed solution.

Your proposal might be rejected if: It presents an irrelevant or outdated topic The stated objectives don’t coincide with the methods You are not well knowledgeable in the field of study you have chosen

Look at the following sample writing ideas for an economics research proposal:

Health Economics Research Proposal Writing Prompts

• What are the rationale and economic justification of health insurance?
• Economic consequences of COVID-19 on the health sector
• How technological innovations in health have helped save costs
• The economic impact of cancer care and treatment
• An economic analysis of the healthcare policies in the US

Agricultural Economics Research Proposal Ideas

• An economic perspective of prioritizing agricultural activities
• Agricultural impacts and economic costs of lockdowns
• A review of the agricultural policy decision-makers on the economy
• An inquiry into the current challenges in agricultural economic modeling of GMOs
• Views on research priorities in agriculture economics and funding for innovations

Business Major Research Proposal Economics Topics

• The role of banks in maintain an economic equilibrium
• Accounting for customer competencies in emerging business enterprises
• Why corporate social responsibility is a crucial feature of any business that wants to succeed
• How to develop competitive intelligence in a recession period
• Exploring the influence of social media on the thriving of businesses
• How agricultural economies compare concerning operationalization and practice of engagement across different contexts

Research Proposal Behavioral Economics Ideas

• A behavioral economics perspective on what motivates consumers to buy
• How behavioral economics helps to reduce substance abuse
• How the behavioral economics theory fits into the modern world business
• The implications of big data on behavioral economics
• Ways in which discounting helps to shape behavioral economics
• Online purchase behavior economics in the 21st century
• Discuss the implications of pricing and the decoy effect

By now, you should be confident when your instructor presents with you an economics research paper. These guidelines should give you the mileage you need to write a research paper proposal example for your peers.

For professional writing assistance, our economics writers are on standby to help you. Contact us today!

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• Essay on Wealth

Good Example Of Research Proposal On Economics

Type of paper: Research Proposal

Topic: Wealth , Distribution , Population , Information , Education , Finance , Study , Investment

Words: 1500

Published: 12/28/2020

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Distribution of Wealth

Research Question The distribution of wealth is an elemental component of the determination of the equality or inequality of wealth within a population. Wealth is equated with the net worth or the sum total of the assets less the liabilities. As such, the wealth is a significant indicator of the economic situation and the well-being in the US, which is the focus population for this research. For this reason, this research seeks to answer the question; what is the status of the wealth distribution in the United States?

Significance of the Study

The types of the assets, which the households hold can be different across the distribution of the net worth. For this reason, the division of the total net worth into parts could provide insights into the well-being of every segment of the distribution. Since certain business cycles vary with time, the variations could have differential impacts on the wealth of the various groups and can facilitate the evaluation of the changes of the well-being for various households. As such, this study is significant because it provides the insights into the elements of the distribution of wealth in the United States and the impact of the differences to the economy of the country. This study is also important because it provides some of the reasons contributing to the status of the wealth distribution in the country in terms of the equality or inequality in distribution. This study is significant because it evaluates the changes in the relative wealth or net worth with time. Last, this study is elemental because it provides insights into the effects of the equality or inequality in the wealth distribution in the United States to the ways of life of individuals in the country.

The study hypothesizes a variety of aspects with reference to the background information on the wealth distribution in the country. For this reason, the following are the hypotheses for the study:

Hypothesis 1

The gap in the distribution of wealth between different households on the United States has accumulated more extremely since the period of the Great Depression.

Hypothesis 2

The distribution of wealth among the households in the country is based on the socio-economic factors of the households. Hypothesis 3 Race, age, Hispanic origin, and educational attainment are among the leading factors for the gap in the wealth distribution in the country.

The study will encompass a mixed methods approach in the collection and analysis of the data. The quantitative and qualitative elements of the study will be essential in the combination of the results and the data in evaluating and discussing the research question and hypotheses. The qualitative aspect will encompass the phenomenological component while the quantitative will include the statistical data on the same, including the percentages of the wealth distribution and the changes in the percentages over time. Data collection methods using the qualitative approach will encompass the secondary research materials from past studies on the distribution of wealth. The qualitative data analysis will encompass such avenues as the documentation, examining of the relationships and displaying the required data, and authenticating conclusions. On the other hand, the quantitative data analysis will encompass such elements as the tabulations.

Expected Findings

The expected findings are based on the background information and the trends of the gap in the wealth distribution in the country over the past few years. First, there is an anticipated wealth inequality in the country based on the findings. That is, the wealth distribution in the United States is expected to be unequal among the households. Second, the unequal wealth distribution and the gap between the highest or the wealthiest household and the lowest earning household are expected to be more than 25%. The gap in the wealth distribution among the household has also increased since the experience of the Great Depression, which is expected to be fueled by the changing or fluctuating economic conditions both locally and globally. Last, the social class forms the most significant element contributing the gap. The race, the age, the social status, political influence, and the educational attainment are the social aspects related to the wealth distribution.

Limitations

The first limitation of the study is the use of information from secondary sources. In most cases, it is possible to find that the information presented in some of the sources has been doctored to fit the preferences of the authors. The element of bias often affects the credibility of the information especially in cases where the authors want the set of data acquired from the field to suit certain hypotheses and preconceived conclusions. Secondly, the distribution of wealth is diverse and varied in terms of its applicability. Populations have different definitions of the term wealth and limiting the scope to income does not help much. In this context, it points to the distribution of income and financial assets among the population in a certain nation or region. However, it is important to note that the limited scope in terms of the definition is unfit because the population has some intangible wealth that cannot be quantified in terms of financial assets (Schneider 2004). For instance, the presence of a well-developed security system is an incentive for the accumulation of wealth. However, such services and incentives are not considered when measuring the distribution of wealth yet they play a critical role in the presence of wealth within the population.

Literature Review

Salas-Fumás& Sanchez-Asin (2013) carried out a longitudinal study in which they explored the role played by the presence of entrepreneurs in the creation and eventual distribution of wealth in a population. The authors assert that that the entrepreneurial level of a population is determined by the manner in which the nations has distributed its wealth and it influences the distribution of wealth in later years. Entrepreneurship is determined by the consumption and saving patterns of the populations such that lesser consumption and incremental saving increases the rate of investment. As the investments increase, a larger section of the population has the opportunity to generate access income, which leads to changes in the investment and saving patterns. In the end, investment will increase and create an opportunity for more people to access wealth or income. The cyclical effect is regarded as the management function of entrepreneurs given the role they play in the distribution of wealth. According to Linda Levine (2012), the distribution of wealth or net worth among the various households in a population has been an issue in various congressional deliberations. It also covers the social welfare and taxations given that taxes affect the rate at which investment takes place and the quality of services that the society receives from the government. Determining the mean and the median of the net worth of every household over a certain number of years can be used in the analysis of the change in the distribution of wealth in the population. The mean and the median are the fundamental variables used to measure the changes in the distribution of wealth in the population. As such, they can be used in the prediction of poverty levels based on the growing or declining ability of the society to save and invest in the economy. Calomiris, Longhofer, & Miles (2012) argue that the characteristics of the demographics of a nation have an effect on the distribution of wealth. Particularly, the authors argue that nations that have a higher number of young people have the tendency to be constrained in terms of the application of credit. On the other hand, states that have a larger adult population are characterized by higher income and asset stability and there is a higher rate of credit applications due to the improved ability to repay the borrowed capital. As such, age has an effect on the distribution of wealth in the sense that nations with a larger adult population have a better distribution of wealth than one in which, there are a higher number of youth. They are often seeking a form of generating income unlike most of the adults who have a variety of assets and raise the net worth of the population. Schneider (2004) also agrees that the consumption of wealth in terms of assets such as housing and stock also has an effect on the rate at which investment trickles back into the society, which has an effect on the distribution of wealth in the end.

Calomiris, C. W., Longhofer, S. D., & Miles, W. (2012). The Housing Wealth Effect: The Crucial Roles of Demographics, Wealth Distribution and Wealth Shares. Levine, L. (2012). An Analysis of the Distribution of Wealth Across Households, 1989-2010. Salas-Fumás, V., & Sanchez-Asin, J. J. (2013). The management function of entrepreneurs and countries’ productivity growth. Applied Economics. doi:10.1080/00036846.2012.663476 Schneider, M. (2004). The distribution of wealth. Cheltenham, UK: E. Elgar Pub.

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Examples of research proposals

How to write your research proposal, with examples of good proposals.

Research proposals

Your research proposal is a key part of your application. It tells us about the question you want to answer through your research. It is a chance for you to show your knowledge of the subject area and tell us about the methods you want to use.

We use your research proposal to match you with a supervisor or team of supervisors.

In your proposal, please tell us if you have an interest in the work of a specific academic at York St John. You can get in touch with this academic to discuss your proposal. You can also speak to one of our Research Leads. There is a list of our Research Leads on the Apply page.

When you write your proposal you need to:

• Highlight how it is original or significant
• Explain how it will develop or challenge current knowledge of your subject
• Identify the importance of your research
• Show why you are the right person to do this research
• Research Proposal Example 1 (DOC, 49kB)
• Research Proposal Example 2 (DOC, 0.9MB)
• Research Proposal Example 3 (DOC, 55.5kB)
• Research Proposal Example 4 (DOC, 49.5kB)

Subject specific guidance

• Writing a Humanities PhD Proposal (PDF, 0.1MB)
• Writing a Creative Writing PhD Proposal (PDF, 0.1MB)
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Research Proposal Example/Sample

Detailed Walkthrough + Free Proposal Template

If you’re getting started crafting your research proposal and are looking for a few examples of research proposals , you’ve come to the right place.

In this video, we walk you through two successful (approved) research proposals , one for a Master’s-level project, and one for a PhD-level dissertation. We also start off by unpacking our free research proposal template and discussing the four core sections of a research proposal, so that you have a clear understanding of the basics before diving into the actual proposals.

• Research proposal example/sample – Master’s-level (PDF/Word)
• Research proposal example/sample – PhD-level (PDF/Word)
• Proposal template (Fully editable) 

If you’re working on a research proposal for a dissertation or thesis, you may also find the following useful:

• Research Proposal Bootcamp : Learn how to write a research proposal as efficiently and effectively as possible
• 1:1 Proposal Coaching : Get hands-on help with your research proposal

PS – If you’re working on a dissertation, be sure to also check out our collection of dissertation and thesis examples here .

FAQ: Research Proposal Example

Research proposal example: frequently asked questions, are the sample proposals real.

Yes. The proposals are real and were approved by the respective universities.

Can I copy one of these proposals for my own research?

As we discuss in the video, every research proposal will be slightly different, depending on the university’s unique requirements, as well as the nature of the research itself. Therefore, you’ll need to tailor your research proposal to suit your specific context.

You can learn more about the basics of writing a research proposal here .

How do I get the research proposal template?

You can access our free proposal template here .

Is the proposal template really free?

Yes. There is no cost for the proposal template and you are free to use it as a foundation for your research proposal.

Where can I learn more about proposal writing?

For self-directed learners, our Research Proposal Bootcamp is a great starting point.

For students that want hands-on guidance, our private coaching service is recommended.

Psst… there’s more!

This post is an extract from our bestselling short course, Research Proposal Bootcamp . If you want to work smart, you don't want to miss this .

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The Young Economist’s Short Guide to Writing Economic Research

Attributes of writing economics.

• The discourse is often mathematical, with lots of formulas, lemmas, and proofs.
• Writing styles vary widely. Some authors are very dry and technical while a few are quite eloquent.

Economics writing is different from many other types of writing. It is essentially technical, and the primary goal is to achieve clarity. A clear presentation will allow the strength of your underlying analysis and the quality of your research to shine through.

Unlike prose writing in other disciplines, economics research takes time. Successful papers are not cranked out the night before a due date.

General Guidelines for Quality Research

Getting started.

The hardest part of any writing assignment is starting. Economics research usually begins with a strong understanding of literature, and papers require a section that summarizes and applies previous literature to what the paper at hand. This is the best way to start.

Your writing will demonstrate that you understand the findings that relate to the topic.

Economists use the first few paragraphs to set up research questions and the model and data they use to think about it. Sure, it can be dry, but this format ensures the write and reader have strong grasp on the subject and structure of the work that follows.

Clear and Concise Work

Clarity is hard to achieve, but revising and reworking a paper ensures it is easy to read

• Organize your ideas into an argument with the help of an outline.
• Define the important terms you will use
• State your hypothesis and proceed deductively to reach your conclusions
• Avoid excess verbiage
• Edit yourself, remove what is not needed, and keep revising until you get down to a simple, efficient way of communicating
• Use the active voice
• Put statements in positive form
• Omit needless words (concise writing is clear writing)
• In summaries, generally stick to one tense

Time Management

Poor time management can wreck the best-planned papers. Deadlines are key to successful research papers.

• Start the project by finding your topic
• Begin your research
• Start and outline
• Write a draft
• Revise and polish

The Language of Economic Analysis

Economic theory has become very mathematical. Most PhD students are mathematicians, not simply economics majors. This means most quality economic research requires a strong use of mathematical language. Economic analysis is characterized by the use of models, simplified representations of how economic phenomena work. A model’s predictions about the future or the past are essentially empirical hypotheses. Since economics is not easily tested in controlled experiments, research requires data from the real world (census reports, balance sheets), and statistical methods (regressions and econometrics) to test the predictive power of models and hypotheses based on those models.

The Writing Process

Finding a topic.

There are a million ways to find a topic. It may be that you are writing for a specific subfield of economics, so topics are limited and thus easier to pick. However, must research starts organically, from passive reading or striking news articles. Make sure to find something that interests you. Be sure to find a niche and make a contribution to the subfield.

You will also need a project that can be done within the parameters of the assignment (length, due date, access to research materials). A profoundly interesting topic may not be manageable given the time and other constraints you face. The key is to just be practical.

Be sure to start your research as soon as possible. Your topic will evolve along the way, and the question you begin with may become less interesting as new information draws you in other directions. It is perfectly fine to shape your topic based on available data, but don’t get caught up in endlessly revising topics.

Finding and Using Sources

There are two types of economic sources: empirical data (information that is or can be easily translated into numerical form), and academic literature (books and articles that help you organize your ideas).

Economic data is compiled into a number of useful secondary sources:

• Economic Report of the President
• Statistical Abstract of the United States
• National Longitudinal Survey
• Census data
• Academic journals

The Outline

A good outline acts as an agenda for the things you want to accomplish:

• Introduction: Pose an interesting question or problem
• Literature Review: Survey the literature on your topic
• Methods/Data: Formulate your hypothesis and describe your data
• Results: Present your results with the help of graphs and charts
• Discussion: Critique your method and/or discuss any policy implications
• Conclusions: Summarize what you have done; pose questions for further research

Writing a Literature Review

The literature review demonstrates your familiarity with scholarly work on your topic and lays the foundations for your paper. The particular issues you intent to raise, the terms you will employ, and the approach you will take should be defined with reference to previous scholarly works.

Presenting a Hypothesis

Formulate a question, problem or conjecture, and describe the approach you will take to answer, solve, or test it. In presenting your hypothesis, you need to discuss the data set you are using and the type of regression you will run. You should say where you found the data, and use a table, graph, or simple statistics to summarize them. In term papers, it may not be possible to reach conclusive results. Don’t be afraid to state this clearly and accurately. It is okay to have an inconclusive paper, but it is not okay to make overly broad and unsupported statements.

Presenting Results

There are essentially two decisions to make: (1) How many empirical results should be presented, and (2) How should these results be described in the text?

• Focus only on what is important and be as clear as possible. Both smart and dumb readers will appreciate you pointing things out directly and clearly.
• Less is usually more: Reporting a small group of relevant results is better than covering every possible statistical analysis that could be made on the data.
• Clearly and precisely describe your tables, graphs, and figures in the text of your results section. The first and last sentence in a paragraph describing a result should be “big picture” statements, describing how the results in the table, graph or figure fit into the overall theme of the paper.

Discussing Results

The key to discussing results is to stay clear of making value judgments, and rely instead on economic facts and analyses. It is not the job of an economist to draw policy conclusions, even if the research supports strong evidence in a particular direction.

Referencing Sources

As with any research paper, source referencing depends on the will of a professor a discourse community. However, economists generally use soft references in the literature review section and then cite sources in conventional formats at the end of papers.

This guide was made possible by the excellent work of Robert Neugeboren and Mireille Jacobson of Harvard University and Paul Dudenhefer of Duke University.

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Research proposals

Writing a research proposal requires students to demonstrate a high level of knowledge and analytical thought. Students must choose a specific aspect of the course material to investigate, and ask an original question, which can increase their engagement and interest. This assesses students' understanding of the subject area, their capacity to perform a literature review, their evaluation of possible research tools, and their development of a research question. In addition, the course can require the student to carry out the project they propose, as another assessment task. Assessing the proposal as a separate task earlier in the year ensures the students are on a productive path, helps the students to plan their time, and can also deter academic misconduct by demonstrating authorship. Research-related assessments can support the students' later work on a dissertation.  This can be in terms of skills alone or both skills and content the research proposal informs the final-year dissertation.

Advantages of research proposals

Learning through research can lead to more engaged, critical and informed students than teaching by more didactic methods.

Learning about research methods can help students understand other courses more fully, and the 'nuts and bolts' of their discipline.

Becoming 'expert' in an area can increase students sense of autonomy in their learning, and can develop their confidence in articulating original arguments.

Developing a wider variety of types of writing and communication is useful for students' longer-term employability skills.

As a research proposal can be relatively short, it can be combined with peer feedback or presented in a different format such as a poster or an oral presentation.

Can be a good opportunity to introduce group work

Challenges of research proposals

Students more used to exams and essays may find a new format initially confusing.

Students may feel unsure of how to excel in this assessment method.

When students choose their own specific area to investigate, it carries the risk that the area will not be as productive as one pre-determined by their tutor as existing research literature on a topic may be sparse, for example.

How students might experience research proposals

Students may value the autonomy of creating a research proposal, and appreciate the insight it offers into their other courses, but experience anxiety at the novel assessment format. When students have undertaken specific, personal work, they can appreciate the opportunity of sharing their work with peers. LSE students in this situation report a sense of pride in their own and their cohort's work.

Reliability, validity, fairness and inclusivity of research proposals

As with any assessment, the learning outcomes of the course need to be well served by the method - setting clear criteria and communicating them with students. The weighting of the task also requires consideration. An essay may be a more substantial writing task, but a research proposal requires additional time to find relevant readings, and understand and evaluate research tools. If peers are expected to comment on one another's work, guidance on this should also be provided. As the projects will be varied, students may make more use of office hours or other one-to-one guidance from tutors. Students from educational backgrounds which do not prioritise 'original argument' may particularly struggle to understand what is required of them by an open-ended and personalised project. Putting students in contact with their relevant library liaison is another form of support for when they are locating material.

How to maintain and ensure rigour in research proposals

Research proposals should be marked and moderated in accordance with departmental practice. Criteria should be established in advance and shared with students. Research proposals can provide a chance to excel in one area and underperform in others (e.g. a strong original argument combined with weak use of sources) therefore a clear marking system should help keep students (and staff) working (and marking) in line with the expected outcomes. Individual markers should take steps to avoid the problems which affect batch marking, such as the 'halo' effect where one or two positive characteristics of a student overly influence the marker.

How to limit possible misconduct in research proposals

Possible misconduct is comparable to other written assessment methods. The requirement for students to select their own sub-topic to work on means that assistance from previous cohorts will be of less use. As it is a novel form of assessment, students will also be less able to find existing examples online. Requiring students to submit early stages of the project – for example, an area of interest, an early research question - will require students to demonstrate authorship (and also allow tutors to intervene in projects which appear off-topic). Final submissions can make use of Turnitin to check against other student submissions, and against other possible sources (for example, article abstracts).

LSE examples

SO221 Researching London: Methods for Social Research

AN298 Research Methods in Social Anthropology

MY428 Qualitative Text and Discourse Analysis

Further resources

Healey, M. and Jenkins, A. (2009) Developing undergraduate research and inquiry

https://www.heacademy.ac.uk/knowledge-hub/developing-undergraduate-research-and-inquiry

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If you have any suggestions for future Toolkit development, get in touch using our email below!

Email: [email protected].

Climate-smart agriculture: adoption, impacts, and implications for sustainable development

• Original Article
• Open access
• Published: 29 April 2024
• Volume 29 , article number  44 , ( 2024 )

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You have full access to this open access article

• Wanglin Ma   ORCID: orcid.org/0000-0001-7847-8459 1 &
• Dil Bahadur Rahut   ORCID: orcid.org/0000-0002-7505-5271 2  

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The 19 papers included in this special issue examined the factors influencing the adoption of climate-smart agriculture (CSA) practices among smallholder farmers and estimated the impacts of CSA adoption on farm production, income, and well-being. Key findings from this special issue include: (1) the variables, including age, gender, education, risk perception and preferences, access to credit, farm size, production conditions, off-farm income, and labour allocation, have a mixed (either positive or negative) influence on the adoption of CSA practices; (2) the variables, including labour endowment, land tenure security, access to extension services, agricultural training, membership in farmers’ organizations, support from non-governmental organizations, climate conditions, and access to information consistently have a positive impact on CSA adoption; (3) diverse forms of capital (physical, social, human, financial, natural, and institutional), social responsibility awareness, and digital advisory services can effectively promote CSA adoption; (4) the establishment of climate-smart villages and civil-society organizations enhances CSA adoption by improving their access to credit; (5) CSA adoption contributes to improved farm resilience to climate change and mitigation of greenhouse gas emissions; (6) CSA adoption leads to higher crop yields, increased farm income, and greater economic diversification; (7) integrating CSA technologies into traditional agricultural practices not only boosts economic viability but also contributes to environmental sustainability and health benefits; and (8) there is a critical need for international collaboration in transferring technology for CSA. Overall, the findings of this special issue highlight that through targeted interventions and collaborative efforts, CSA can play a pivotal role in achieving food security, poverty alleviation, and climate resilience in farming communities worldwide and contribute to the achievements of the United Nations Sustainable Development Goals.

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1 Introduction

Climate change reduces agricultural productivity and leads to greater instability in crop production, disrupting the global food supply and resulting in food and nutritional insecurity. In particular, climate change adversely affects food production through water shortages, pest outbreaks, and soil degradation, leading to significant crop yield losses and posing significant challenges to global food security (Kang et al. 2009 ; Läderach et al. 2017 ; Arora 2019 ; Zizinga et al. 2022 ; Mirón et al. 2023 ). United Nations reported that the human population will reach 9.7 billion by 2050. In response, food-calorie production will have to expand by 70% to meet the food demand of the growing population (United Nations 2021 ). Hence, it is imperative to advocate for robust mitigation strategies that counteract the negative impacts of climate change and enhance the flexibility and speed of response in smallholder farming systems.

A transformation of the agricultural sector towards climate-resilient practices can help tackle food security and climate change challenges successfully. Climate-smart agriculture (CSA) is an approach that guides farmers’ actions to transform agrifood systems towards building the agricultural sector’s resilience to climate change based on three pillars: increasing farm productivity and incomes, enhancing the resilience of livelihoods and ecosystems, and reducing and removing greenhouse gas emissions from the atmosphere (FAO 2013 ). Promoting the adoption of CSA practices is crucial to improve smallholder farmers’ capacity to adapt to climate change, mitigate its impact, and help achieve the United Nations Sustainable Development Goals.

Realizing the benefits of adopting CSA, governments in different countries and international organizations such as the Consultative Group on International Agricultural Research (CGIAR), the Food and Agriculture Organisation (FAO) of the United Nations, and non-governmental organizations (NGOs) have made great efforts to scale up and out the CSA. For example, climate-smart villages in India (Alam and Sikka 2019 ; Hariharan et al. 2020 ) and civil society organizations in Africa, Asia, and Latin America (Waters-Bayer et al. 2015 ; Brown 2016 ) have been developed to reduce information costs and barriers and bridge the gap in finance access to promote farmers’ adoption of sustainable agricultural practices, including CSA. Besides, agricultural training programs have been used to enhance farmers’ knowledge of CSA and their adoption of the technology in Ghana (Zakaria et al. 2020 ; Martey et al. 2021 ).

As a result, smallholder farmers worldwide have adopted various CSA practices and technologies (e.g., integrated crop systems, drop diversification, inter-cropping, improved pest, water, and nutrient management, improved grassland management, reduced tillage and use of diverse varieties and breeds, restoring degraded lands, and improved the efficiency of input use) to reach the objectives of CSA (Kpadonou et al. 2017 ; Zakaria et al. 2020 ; Khatri-Chhetri et al. 2020 ; Aryal et al. 2020a ; Waaswa et al. 2022 ; Vatsa et al. 2023 ). In the Indian context, technologies such as laser land levelling and the happy seeder have been promoted widely for their potential in climate change adaptation and mitigation, offering benefits in terms of farm profitability, emission reduction, and water and land productivity (Aryal et al. 2020b ; Keil et al. 2021 ). In some African countries such as Tanzania and Kenya, climate-smart feeding practices in the livestock sector have been suggested to tackle challenges in feed quality and availability exacerbated by climate change, aiming to improve livestock productivity and resilience (García de Jalón et al. 2017 ; Shikuku et al. 2017 ; Radeny et al. 2022 ).

Several studies have investigated the factors influencing farmers’ decisions to adopt CSA practices. They have focused on, for example, farmers’ characteristics (e.g., age, gender, and education), farm-level characteristics (e.g., farm size, land fertility, and land tenure security), socioeconomic factors (e.g., economic conditions), institutional factors (e.g., development programs, membership in farmers’ organizations, and access to agricultural training), climate conditions, and access to information (Aryal et al. 2018 ; Tran et al. 2020 ; Zakaria et al. 2020 ; Kangogo et al. 2021 ; Diro et al. 2022 ; Kifle et al. 2022 ; Belay et al. 2023 ; Zhou et al. 2023 ). For example, Aryal et al. ( 2018 ) found that household characteristics (e.g., general caste, education, and migration status), plot characteristics (e.g., tenure of plot, plot size, and soil fertility), distance to market, and major climate risks are major factors determining farmers’ adoption of multiple CSA practices in India. Tran et al. ( 2020 ) reported that age, gender, number of family workers, climate-related factors, farm characteristics, distance to markets, access to climate information, confidence in the know-how of extension workers, membership in social/agricultural groups, and attitude toward risk are the major factors affecting rice farmers’ decisions to adopt CSA technologies in Vietnam. Diro et al.’s ( 2022 ) analysis revealed that coffee growers’ decisions to adopt CSA practices are determined by their education, extension (access to extension services and participation on field days), and ownership of communication devices, specifically radio in Ethiopia. Zhou et al. 2023 ) found that cooperative membership significantly increases the adoption of climate-smart agricultural practices among banana-producing farmers in China. These studies provide significant insights regarding the factors influencing farmers’ decisions regarding CSA adoption.

A growing body of studies have also estimated the effects of CSA adoption. They have found that CSA practices enhance food security and dietary diversity by increasing crop yields and rural incomes (Amadu et al. 2020 ; Akter et al. 2022 ; Santalucia 2023 ; Tabe-Ojong et al. 2023 ; Vatsa et al. 2023 ; Omotoso and Omotayo 2024 ). For example, Akter et al. ( 2022 ) found that adoption of CSA practices was positively associated with rice, wheat, and maize yields and household income, contributing to household food security in Bangladesh. By estimating data from rice farmers in China, Vatsa et al. ( 2023 ) reported that intensifying the adoption of climate-smart agricultural practices improved rice yield by 94 kg/mu and contributed to food security. Santalucia ( 2023 ) and Omotoso and Omotayo ( 2024 ) found that adoption of CSA practices (improved maize varieties and maize-legume intercropping) increases household dietary diversity and food security among smallholders in Tanzania and Nigeria, respectively.

Agriculture is crucial in climate change, accounting for roughly 20% of worldwide greenhouse gas (GHG) emissions. Additionally, it is responsible for approximately 45% of the global emissions of methane, a potent gas that significantly contributes to heat absorption in the atmosphere. CSA adoption improves farm resilience to climate variability (e.g., Makate et al. 2019 ; Jamil et al. 2021 ) and mitigates greenhouse gas emissions (Israel et al. 2020 ; McNunn et al. 2020 ). For example, Makate et al. ( 2019 ) for southern Africa and Jamil et al. ( 2021 ) for Pakistan found that promoting CSA innovations is crucial for boosting farmers’ resilience to climate change. McNunn et al. ( 2020 ) reported that CSA adoption significantly reduces greenhouse gas emissions from agriculture by increasing soil organic carbon stocks and decreasing nitrous oxide emissions.

Although a growing number of studies have enriched our understanding of the determinants and impacts of ICT adoption, it should be emphasized that no one-size-fits-all approach exists for CSA technology adoption due to geographical and environmental variability. The definitions of CSA should also be advanced to better adapt to changing climate and regional production conditions. Clearly, despite the extensive research on CSA, several gaps remain. First, there is a lack of comprehensive studies that consolidate findings across different geographical regions to inform policymaking effectively. The calls for studies on literature review and meta-analysis to synthesize the findings of the existing studies to make our understanding generalized. Second, although the literature on determinants of CSA adoption is becoming rich, there is a lack of understanding of how CSA adoption is influenced by different forms of capital, social responsibility awareness of farmers’ cultivating family farms, and digital advisory services. Third, there is a lack of understanding of how climate-smart villages and civil society organizations address farmers’ financial constraints and encourage them to adopt modern sustainable agricultural practices, including CSA practices. Fourth, very few studies have explored how CSA adoption influences the benefit–cost ratio of farm production, factor demand, and input substitution. Fifth, no previous studies have reported the progress of research on CSA. Addressing these gaps is crucial for designing and implementing effective policies and programs that support the widespread adoption of CSA practices, thereby contributing to sustainable agricultural development and climate resilience.

We address the research gaps mentioned above and extend the findings in previous studies by organizing a Special Issue on “Climate-Smart Agriculture: Adoption, Impacts, and Implications for Sustainable Development” in the Mitigation and Adaptation Strategies for Global Change (MASGC) journal. We aim to collect high-quality theoretical and applied research papers discussing CSA and seek to comprehensively understand the associations between CSA and sustainable rural and agricultural development. To achieve this goal, we aim to find answers to these questions: What are the CSA practices and technologies (either single or multiple) that are currently adopted in smallholder farming systems? What are the key barriers, challenges, and drivers of promoting CSA practices? What are the impacts of adopting these practices? Answers to these questions will help devise appropriate solutions for promoting sustainable agricultural production and rural development. They will also provide insights for policymakers to design appropriate policy instruments to develop agricultural practices and technologies and promote them to sustainably enhance the farm sector’s resilience to climate change and increase productivity.

Finally, 19 papers were selected after a rigorous peer-review process and published in this special issue. We collected 10 papers investigating the determinants of CSA adoption. Among them, four papers investigated the determinants of CSA adoption among smallholders by reviewing and summarizing the findings in the literature and conducting a meta-analysis. Three papers explored the role of social-economic factors on ICT adoption, including capital, social responsibility awareness, and digital advisory services. Besides, three papers examined the associations between external development interventions, including climate-smart villages and civil-society initiatives, and CSA adoption. We collected eight papers exploring the impacts of CSA adoption. Among them, one paper conducted a comprehensive literature review to summarize the impacts of CSA adoption on crop yields, farm income, and environmental sustainability. Six papers estimated the impacts of CSA adoption on crop yields and farm income, and one paper focused on the impact of CSA adoption on factor demand and input substitution. The last paper included in this special issue delved into the advancements in technological innovation for agricultural adaptation within the context of climate-smart agriculture.

The structure of this paper is as follows: Section  2 summarizes the papers received in this special issue. Section  3 introduces the international conference that was purposely organized for the special issue. Section  4 summarizes the key findings of the 19 papers published in the special issue, followed by a summary of their policy implications, presented in Section  5 . The final section provides a brief conclusion.

2 Summary of received manuscripts

The special issue received 77 submissions, with the contributing authors hailing from 22 countries, as illustrated in Fig.  1 . This diversity highlights the global interest and wide-ranging contributions to the issue. Notably, over half of these submissions (53.2%) originated from corresponding authors in India and China, with 29 and 12 manuscripts, respectively. New Zealand authors contributed six manuscripts, while their Australian counterparts submitted four. Following closely, authors from the United Kingdom and Kenya each submitted three manuscripts. Authors from Thailand, Pakistan, Japan, and Germany submitted two manuscripts each. The remaining 12 manuscripts came from authors in Vietnam, Uzbekistan, the Philippines, Nigeria, the Netherlands, Malaysia, Italy, Indonesia, Ghana, Ethiopia, Brazil, and Bangladesh.

Distributions of 77 received manuscripts by corresponding authors' countries

Among the 77 received manuscripts, 30 were desk-rejected by the guest editors because they did not meet the aims and scope of the special issue, and the remaining 47, considered candidate papers for the special issue, were sent for external review. The decision on each manuscript was made based on review reports of 2–4 experts in this field. The guest editors also read and commented on each manuscript before they made decisions.

3 ADBI virtual international conference

3.1 selected presentations.

The guest editors from Lincoln University (New Zealand) and the Asian Development Bank Institute (ADBI) (Tokyo, Japan) organized a virtual international conference on the special issue theme “ Climate-Smart Agriculture: Adoption, Impacts, and Implications for Sustainable Development ”. The conference was organized on 10–11 October 2023 and was supported by the ADBI. Footnote 1 As previously noted, the guest editors curated a selection of 47 manuscripts from the pool of 77 submissions, identifying them as potential candidates for inclusion in the special issue, and sent them out for external review. Given the logistical constraints of orchestrating a two-day conference, the guest editors ultimately extended invitations to 20 corresponding authors. These authors were invited to present their work at the virtual international conference.

Figure  2 illustrates the native countries of the presenters, showing that the presenters were from 10 different countries. Most of the presenters were from India, accounting for 40% of the presenters. This is followed by China, where the four presenters were originally from. The conference presentations and discussions proved immensely beneficial, fostering knowledge exchange among presenters, discussants, and participants. It significantly allowed presenters to refine their manuscripts, leveraging the constructive feedback from discussants and fellow attendees.

Distributions of selected presentations by corresponding authors' countries

3.2 Keynote speeches

The guest editors invited two keynote speakers to present at the two-day conference. They were Prof. Edward B. Barbier from the Colorado State University in the United States Footnote 2 and Prof. Tatsuyoshi Saijo from Kyoto University of Advanced Science in Japan. Footnote 3

Prof. Edward Barbier gave a speech, “ A Policy Strategy for Climate-Smart Agriculture for Sustainable Rural Development ”, on 10th October 2023. He outlined a strategic approach for integrating CSA into sustainable rural development, particularly within emerging markets and developing economies. He emphasized the necessity of CSA and nature-based solutions (NbS) to tackle food security, climate change, and rural poverty simultaneously. Highlighting the substantial investment needs and the significant role of international and domestic financing, Prof. Barbier advocated reducing harmful subsidies in agriculture, forestry, fishing, and fossil fuel consumption to redirect funds toward CSA and NbS investments. He also proposed the implementation of a tropical carbon tax as an innovative financing mechanism. By focusing on recycling environmentally harmful subsidies and leveraging additional funding through public and private investments, Prof. Barbier’s strategy aims to foster a “win–win” scenario for climate action and sustainable development, underscoring the urgency of adopting comprehensive policies to mobilize the necessary resources for these critical investments.

Prof. Tatsuyoshi Saijo, gave his speech, “ Future Design ”, on 11th October 2023. He explored the significant impact of the Haber–Bosch process on human civilization and the environment. Prof. Saijo identifies this process, which synthetically fixed nitrogen from the atmosphere to create ammonia for fertilizers and other products, as the greatest invention from the twentieth century to the present, fundamentally transforming the world’s food production and enabling the global population and industrial activities to expand dramatically. He also discussed the environmental costs of this technological advancement, including increased greenhouse gas emissions, pollution, and contribution to climate change. Prof. Saijo then introduced the concept of “Future Design” as a method to envision and implement sustainable social systems that consider the well-being of future generations. He presented various experiments and case studies from Japan and beyond, showing how incorporating perspectives of imaginary future generations into decision-making processes can lead to more sustainable choices. By doing so, Prof. Saijo suggested that humanity can address the “Intergenerational Sustainability Dilemma” and potentially avoid the ecological overshoot and collapse faced by past civilizations like Easter Island. He called for a redesign of social systems to activate “futurability”, where individuals derive happiness from decisions that benefit future generations, ultimately aiming to ensure the long-term survival of humankind amidst environmental challenges.

4 Summary of published articles

As a result of a rigorous double-anonymized reviewing process, the special issue accepted 19 articles for publication. These studies have investigated the determinants and impacts of CSA adoption. Table 1 in the Appendix summarises the CSA technologies and practices considered in each paper. Below, we summarize the key findings of the contributions based on their research themes.

4.1 Determinants of CSA adoption among smallholders

4.1.1 influencing factors of csa adoption from literature review.

Investigating the factors influencing farmers’ adoption of CSA practices through a literature review helps offer a comprehensive understanding of the multifaceted determinants of CSA adoption. Investigating the factors influencing farmers’ adoption of CSA practices through a literature review helps provide a comprehensive understanding of the determinants of CSA adoption. Such analyses help identify consistent trends and divergences in how different variables influence farmers’ CSA adoption decisions. In this special issue, we collected four papers that reviewed the literature and synthesized the factors influencing farmers’ decisions to adopt CSA.

Li, Ma and Zhu’s paper, “ A systematic literature review of factors influencing the adoption of climate-smart agricultural practices ”, conducted a systematic review of the literature on the adoption of CSA, summarizing the definitions of CSA practices and the factors that influence farmers’ decisions to adopt these practices. The authors reviewed 190 studies published between 2013 and 2023. They broadly defined CSA practices as “agricultural production-related and unrelated practices that can help adapt to climate change and increase agricultural outputs”. Narrowly, they defined CSA practices as “agricultural production-related practices that can effectively adapt agriculture to climate change and reinforce agricultural production capacity”. The review identified that many factors, including age, gender, education, risk perception, preferences, access to credit, farm size, production conditions, off-farm income, and labour allocation, have a mixed (positive or negative) influence on the adoption of CSA practices. Variables such as labour endowment, land tenure security, access to extension services, agricultural training, membership in farmers’ organizations, support from non-governmental organizations (NGOs), climate conditions, and access to information were consistently found to positively influence CSA practice adoption.

Thottadi and Singh’s paper, “ Climate-smart agriculture (CSA) adaptation, adaptation determinants and extension services synergies: A systematic review ””, reviewed 45 articles published between 2011 and 2022 to explore different CAS practices adopted by farmers and the factors determining their adoption. They found that CSA practices adopted by farmers can be categorized into five groups. These included resilient technologies (e.g., early maturing varieties, drought-resistant varieties, and winter ploughing), management strategies (e.g., nutrient management, water management, and pest management), conservation technologies (e.g., vermicomposting and residue management, drip and sprinkler irrigation, and soil conservation), diversification of income security (e.g., mixed farming, livestock, and crop diversification), and risk mitigation strategies (e.g., contingent planning, adjusting plant dates, and crop insurance). They also found that farmers’ decisions to adopt CSA practices are mainly determined by individual characteristics (age, gender, and education), socioeconomic factors (income and wealth), institutional factors (social group, access to credit, crop insurance, distance, land tenure, and rights), behavioural factors (climate perception, farmers’ perception on CSA, Bookkeeping), and factor endowments (family labour, machinery, and land size). The authors emphasized that extension services improved CSA adaptation by reducing information asymmetry.

Naveen, Datta, Behera and Rahut’s paper, “ Climate-Smart Agriculture in South Asia: Exploring Practices, Determinants, and Contribution to Sustainable Development Goals ”, offered a comprehensive systematic review of 78 research papers on CSA practice adoption in South Asia. Their objective was to assess the current implementation of CSA practices and to identify the factors that influence farmers’ decisions to adopt these practices. They identified various CSA practices widely adopted in South Asia, including climate-resilient seeds, zero tillage, water conservation, rescheduling of planting, crop diversification, soil conservation and water harvesting, and agroforestry. They also identified several key factors that collectively drive farmers’ adoption of CSA practices. These included socioeconomic factors (age, education, livestock ownership, size of land holdings, and market access), institutional factors (access to information and communication technology, availability of credit, input subsidies, agricultural training and demonstrations, direct cash transfers, and crop insurance), and climatic factors (notably rising temperatures, floods, droughts, reduced rainfall, and delayed rainfall).

Wang, Wang and Fu’s paper, “ Can social networks facilitate smallholders’ decisions to adopt Climate-smart Agriculture technologies? A three-level meta-analysis ”, explored the influence of social networks on the adoption of CSA technologies by smallholder farmers through a detailed three-level meta-analysis. This analysis encompassed 26 empirical studies, incorporating 150 effect sizes. The authors reported a modest overall effect size of 0.065 between social networks and the decision-making process for CSA technology adoption, with an 85.21% variance observed among the sample effect sizes. They found that over half (55.17%) of this variance was attributed to the differences in outcomes within each study, highlighting the impact of diverse social network types explored across the studies as significant contributors. They did not identify publication bias in this field. Among the three types of social networks (official-advising network, peer-advising network, and kinship and friendship network), kinship and friendship networks are the most effective in facilitating smallholders’ decisions to adopt climate-smart agriculture technologies.

4.1.2 Socioeconomic factors influencing CSA adoption

We collected three papers highlighting the diverse forms of capital, social responsibility awareness, and effectiveness of digital advisory services in promoting CSA in India, China and Ghana. These studies showcase how digital tools can significantly increase the adoption of CSA technologies, how social responsibility can motivate CSA practices and the importance of various forms of capital in CSA strategy adoption.

Sandilya and Goswami’s paper, “ Effect of different forms of capital on the adoption of multiple climate-smart agriculture strategies by smallholder farmers in Assam, India ”, delved into the determinants behind the adoption of CSA strategies by smallholder farmers in Nagaon district, India, a region notably prone to climate adversities. The authors focused on six types of capital: physical, social, human, financial, natural, and institutional. They considered four CSA practices: alternate land use systems, integrated nutrient management, site-specific nutrient management, and crop diversification. Their analyses encompassed a dual approach, combining a quantitative analysis via a multivariate probit model with qualitative insights from focus group discussions. They found that agricultural cooperatives and mobile applications, both forms of social capital, play a significant role in facilitating the adoption of CSA. In contrast, the authors also identified certain barriers to CSA adoption, such as the remoteness of farm plots from all-weather roads (a component of physical capital) and a lack of comprehensive climate change advisories (a component of institutional capital). Furthermore, the authors highlighted the beneficial impact of irrigation availability (a component of physical capital) on embracing alternate land use and crop diversification strategies. Additionally, the application of indigenous technical knowledge (a component of human capital) and the provision of government-supplied seeds (a component of institutional capital) were found to influence the adoption of CSA practices distinctly.

Ye, Zhang, Song and Li’s paper, “ Social Responsibility Awareness and Adoption of Climate-smart Agricultural Practices: Evidence from Food-based Family Farms in China ”, examined whether social responsibility awareness (SRA) can be a driver for the adoption of CSA on family farms in China. Using multiple linear regression and hierarchical regression analyses, the authors analyzed data from 637 family farms in five provinces (Zhejiang, Shandong, Henan, Heilongjiang, and Hebei) in China. They found that SRA positively impacted the adoption of CSA practice. Pro-social motivation and impression management motivation partially and completely mediated the relationship between SRA and the adoption of CSA practices.

Asante, Ma, Prah and Temoso’s paper, “ Promoting the adoption of climate-smart agricultural technologies among maize farmers in Ghana: Using digital advisory services ”, investigated the impacts of digital advisory services (DAS) use on CSA technology adoption and estimated data collected from 3,197 maize farmers in China. The authors used a recursive bivariate probit model to address the self-selection bias issues when farmers use DAS. They found that DAS notably increases the propensity to adopt drought-tolerant seeds, zero tillage, and row planting by 4.6%, 4.2%, and 12.4%, respectively. The average treatment effect on the treated indicated that maize farmers who use DAS are significantly more likely to adopt row planting, zero tillage, and drought-tolerant seeds—by 38.8%, 24.9%, and 47.2%, respectively. Gender differences in DAS impact were observed; male farmers showed a higher likelihood of adopting zero tillage and drought-tolerant seeds by 2.5% and 3.6%, respectively, whereas female farmers exhibited a greater influence on the adoption of row planting, with a 2.4% probability compared to 1.5% for males. Additionally, factors such as age, education, household size, membership in farmer-based organizations, farm size, perceived drought stress, perceived pest and disease incidence, and geographic location were significant determinants in the adoption of CSA technologies.

4.1.3 Climate-smart villages and CSA adoption

Climate-Smart Villages (CSVs) play a pivotal role in promoting CSA by significantly improving farmers’ access to savings and credit, and the adoption of improved agricultural practices among smallholder farmers. CSV interventions demonstrate the power of community-based financial initiatives in enabling investments in CSA technologies. In this special issue, we collected two insightful papers investigating the relationship between CSVs and the adoption of CSA practices, focusing on India and Kenya.

Villalba, Joshi, Daum and Venus’s paper, “ Financing Climate-Smart Agriculture: A Case Study from the Indo-Gangetic Plains ”, investigated the adoption and financing of CSA technologies in India, focusing on two capital-intensive technologies: laser land levelers and happy seeders. Conducted in Karnal, Haryana, within the framework of Climate-Smart-Villages, the authors combined data from a household survey of 120 farmers, interviews, and focus group discussions with stakeholders like banks and cooperatives. The authors found that adoption rates are high, with 77% for laser land levelers and 52% for happy seeders, but ownership is low, indicating a preference for renting from Custom-Hiring Centers. Farmers tended to avoid formal banking channels for financing, opting instead for informal sources like family, savings, and money lenders, due to the immediate access to credit and avoidance of bureaucratic hurdles. The authors suggested that institutional innovations and governmental support could streamline credit access for renting CSA technologies, emphasizing the importance of knowledge transfer, capacity building, and the development of digital tools to inform farmers about financing options. This research highlights the critical role of financing mechanisms in promoting CSA technology adoption among smallholder farmers in climate-vulnerable regions.

Asseldonk, Oostendorp, Recha, Gathiaka, Mulwa, Radeny Wattel and Wesenbeeck’s paper, “ Distributional impact of climate‑smart villages on access to savings and credit and adoption of improved climate‑smart agricultural practices in the Nyando Basin, Kenya ”, investigated the impact of CSV interventions in Kenya on smallholder farmers’ access to savings, credit, and adoption of improved livestock breeds as part of CSA practices. The authors employed a linear probability model to estimate a balanced panel of 118 farm households interviewed across 2017, 2019, and 2020. They found that CSV interventions significantly increased the adoption of improved livestock breeds and membership in savings and credit groups, which further facilitated the adoption of these improved breeds. The findings highlighted that community-based savings and loan initiatives effectively enable farmers to invest in CSA practices. Although there was a sustained positive trend in savings and loans group membership, the adoption of improved livestock did not show a similar sustained increase. Moreover, the introduction of improved breeds initially benefited larger livestock owners more. However, credit availability was found to reduce this inequity in ownership among participants, making the distribution of improved livestock more equitable within CSVs compared to non-CSV areas, thus highlighting the potential of CSV interventions to reduce disparities in access to improved CSA practices.

4.1.4 Civil-society initiatives and CSA adoption

Civil society initiatives are critical in promoting CSA by embedding its principles across diverse agricultural development projects. These initiatives enhance mitigation, adaptation, and food security efforts for smallholder farmers, demonstrating the importance of varied implementation strategies to address the challenges of CSA. We collected one paper investigating how civil society-based development projects in Asia and Africa incorporated CSA principles to benefit smallholder farmers and local communities.

Davila, Jacobs, Nadeem, Kelly and Kurimoto’s paper, “ Finding climate smart agriculture in civil-society initiatives ”, scrutinized the role of international civil society and non-government organizations (NGOs) in embedding CSA principles within agricultural development projects aimed at enhancing mitigation, adaptation, and food security. Through a thematic analysis of documentation from six projects selected on the basis that they represented a range of geographical regions (East Africa, South, and Southeast Asia) and initiated since 2009, the authors assessed how development programs incorporate CSA principles to support smallholder farmers under CSA’s major pillars. They found heterogeneous application of CSA principles across the projects, underscoring a diversity in implementation strategies despite vague definitions and focuses of CSA. The projects variedly contributed to greening and forests, knowledge exchange, market development, policy and institutional engagement, nutrition, carbon and climate action, and gender considerations.

4.2 Impacts of CSA adoption

4.2.1 impacts of csa adoption from literature review.

A comprehensive literature review on the impacts of CSA adoption plays an indispensable role in bridging the gap between theoretical knowledge and practical implementation in the agricultural sector. In this special issue, we collected one paper that comprehensively reviewed the literature on the impacts of CSA adoption from the perspective of the triple win of CSA.

Zheng, Ma and He’s paper, “ Climate-smart agricultural practices for enhanced farm productivity, income, resilience, and Greenhouse gas mitigation: A comprehensive review ”, reviewed 107 articles published between 2013–2023 to distill a broad understanding of the impacts of CSA practices. The review categorized the literature into three critical areas of CSA benefits: (a) the sustainable increase of agricultural productivity and incomes; (b) the adaptation and enhancement of resilience among individuals and agrifood systems to climate change; and (c) the reduction or avoidance of greenhouse gas (GHG) emissions where feasible. The authors found that CSA practices significantly improved farm productivity and incomes and boosted technical and resource use efficiency. Moreover, CSA practices strengthened individual resilience through improved food consumption, dietary diversity, and food security while enhancing agrifood systems’ resilience by mitigating production risks and reducing vulnerability. Additionally, CSA adoption was crucial in lowering Greenhouse gas emissions and fostering carbon sequestration in soils and biomass, contributing to improved soil quality.

4.2.2 Impacts on crop yields and farm income

Understanding the impact of CSA adoption on crop yields and income is crucial for improving agricultural resilience and sustainability. In this special issue, we collected three papers highlighting the transformative potential of CSA practices in boosting crop yields, commercialization, and farm income. One paper focuses on India and the other concentrates on Ghana and Kenya.

Tanti, Jena, Timilsina and Rahut’s paper, “ Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India ”, examined the impact of CSA practices (crop rotation and integrated soil management practices) on crop yields and incomes. The authors used propensity score matching and the two-stage least square model to control self-selection bias and endogeneity and analyzed data collected from 494 farm households in India. They found that adopting CSA practices increases agricultural income and paddy yield. The crucial factor determining the adoption of CSA practices was the income-enhancing potential to transform subsistence farming into a profoundly ingrained farming culture.

Asante, Ma, Prah and Temoso’s paper, “ Farmers’ adoption of multiple climate-smart agricultural technologies in Ghana: Determinants and impacts on maize yields and net farm income ”, investigated the factors influencing maize growers’ decisions to adopt CSA technologies and estimated the impact of adopting CSA technologies on maize yields and net farm income. They considered three CSA technology types: drought-resistant seeds, row planting, and zero tillage. The authors used the multinomial endogenous switching regression model to estimate the treatment effect of CSA technology adoption and analyze data collected from 3,197 smallholder farmers in Ghana. They found that farmer-based organization membership, education, resource constraints such as lack of land, access to markets, and production shocks such as perceived pest and disease stress and drought are the main factors that drive farmers’ decisions to adopt CSA technologies. They also found that integrating any CSA technology or adopting all three CSA technologies greatly enhances maize yields and net farm income. Adopting all three CSA technologies had the largest impact on maize yields, while adopting row planting and zero tillage had the greatest impact on net farm income.

Mburu, Mburu, Nyikal, Mugera and Ndambi’s paper, “ Assessment of Socioeconomic Determinants and Impacts of Climate-Smart Feeding Practices in the Kenyan Dairy Sector ”, assessed the determinants and impacts of adopting climate-smart feeding practices (fodder and feed concentrates) on yield, milk commercialization, and household income. The authors used multinomial endogenous switching regression to account for self-selection bias arising from observable and unobservable factors and estimated data collected from 665 dairy farmers in Kenya. They found that human and social capital, resource endowment, dairy feeding systems, the source of information about feeding practices, and perceived characteristics were the main factors influencing farmers’ adoption of climate-smart feeding practices. They also found that combining climate-smart feed concentrates and fodder significantly increased milk productivity, output, and dairy income. Climate-smart feed concentrates yielded more benefits regarding dairy milk commercialization and household income than climate-smart fodder.

4.2.3 Impacts on crop yields

Estimating the impacts of CSA adoption on crop yields is crucial for enhancing food security, improving farmers’ resilience to climate change, and guiding policy and investment towards sustainable agricultural development. In this special issue, we collected one paper that provided insights into this field.

Singh, Bisaria, Sinha, Patasaraiya and Sreerag’s paper, “ Developing A Composite Weighted Indicator-based Index for Monitoring and Evaluating Climate-Smart Agriculture in India ”, developed a composite index based on a weighted index to calculate the Climate Smart Score (CSS) at the farm level in India and tested the relationship between computed CSS and farm-level productivity. Through an intensive literature review, the authors selected 34 indicators, which were then grouped into five dimensions for calculating CSS. These dimensions encompassed governance (e.g., land ownership, subsidized fertilizer, and subsidized seeds), farm management practices (mulching, zero tillage farming, and inter-cropping and crop diversification), environment management practices (e.g., not converting forested land into agricultural land and Agroforestry/plantation), energy management (e.g., solar water pump and Biogas digester), and awareness and training (e.g., knowledge of climate-related risk and timely access to weather and agro-advisory). They tested the relationship between CSS and farm productivity using data collected from 315 farmers. They found that improved seeds, direct seeding of rice, crop diversification, zero tillage, agroforestry, crop residue management, integrated nutrient management, and training on these practices were the most popular CSA practices the sampled farmers adopted. In addition, there was a positive association between CSS and paddy, wheat, and maize yields. This finding underscores the beneficial impact of CSA practices on enhancing farm productivity.

4.2.4 Impacts on incomes and benefit–cost ratio

Understanding the income effects of CSA adoption is crucial for assessing its impact on household livelihoods, farm profitability, and income diversity. Quantifying income enhancements would contribute to informed decision-making and investment strategies to improve farming communities’ economic well-being. In this special issue, we collected two papers looking into the effects of CSA adoption on income.

Sang, Chen, Hu and Rahut’s paper, “ Economic benefits of climate-smart agricultural practices: Empirical investigations and policy implications ”, investigated the impact of CSA adoption intensity on household income, net farm income, and income diversity. They used the two-stage residual inclusion model to mitigate the endogeneity of CSA adoption intensity and analyzed the 2020 China Rural Revitalization Survey data. They also used the instrumental-variable-based quantile regression model to investigate the heterogeneous impacts of CSA adoption intensity. The authors found that the education level of the household head and geographical location determine farmers’ adoption intensity of CSAs.CSA practices. The higher levels of CSA adoption were positively and significantly associated with higher household income, net farm income, and income diversity. They also found that while the impact of CSA adoption intensity on household income escalates across selected quantiles, its effect on net farm income diminishes over these quantiles. Additionally, the study reveals that CSA adoption intensity notably enhances income diversity at the 20th quantile only.

Kandulu, Zuo, Wheeler, Dusingizimana and Chagund’s paper, “ Influence of climate-smart technologies on the success of livestock donation programs for smallholder farmers in Rwanda ”, investigated the economic, environmental, and health benefits of integrating CSA technologies —specifically barns and biogas plants—into livestock donation programs in Rwanda. Employing a stochastic benefit–cost analysis from the perspective of the beneficiaries, the authors assessed the net advantages for households that receive heifers under an enhanced program compared to those under the existing scheme. They found that incorporating CSA technologies not only boosts the economic viability of these programs but also significantly increases the resilience and sustainability of smallholder farming systems. More precisely, households equipped with cows and CSA technologies can attain net benefits up to 3.5 times greater than those provided by the current program, with the benefit–cost ratios reaching up to 5. Furthermore, biogas technology reduces deforestation, mitigating greenhouse gas emissions, and lowering the risk of respiratory illnesses, underscoring the multifaceted advantages of integrating such innovations into livestock donation initiatives.

4.2.5 Impacts on factor demand and input substitution

Estimating the impacts of CSA adoption on factor demand and input substitution is key to optimizing resource use, reducing environmental footprints, and ensuring agricultural sustainability by enabling informed decisions on efficient input use and technology adoption. In this field, we collected one paper that enriched our understanding in this field. Understanding the impacts of CSA adoption on factor demand, input substitution, and financing options is crucial for promoting sustainable farming in diverse contexts. In this special issue, we collected one paper comprehensively discussing how CSA adoption impacted factor demand and input substitution.

Kehinde, Shittu, Awe and Ajayi’s paper, “ Effects of Using Climate-Smart Agricultural Practices on Factor Demand and Input Substitution among Smallholder Rice Farmers in Nigeria ”, examined the impacts of agricultural practices with CSA potential (AP-CSAPs) on the demand of labour and other production factors (seed, pesticides, fertilizers, and mechanization) and input substitution. The AP-CSAPs considered in this research included zero/minimum tillage, rotational cropping, green manuring, organic manuring, residue retention, and agroforestry. The authors employed the seemingly unrelated regression method to estimate data collected from 1,500 smallholder rice farmers in Nigeria. The authors found that labour and fertilizer were not easily substitutable in the Nigerian context; increases in the unit price of labour (wage rate) and fertilizer lead to a greater budget allocation towards these inputs. Conversely, a rise in the cost of mechanization services per hectare significantly reduced labour costs while increasing expenditure on pesticides and mechanization services. They also found that most AP-CSAPs were labour-intensive, except for agroforestry, which is labor-neutral. Organic manure and residue retention notably conserved pesticides, whereas zero/minimum tillage practices increased the use of pesticides and fertilizers. Furthermore, the demand for most production factors, except pesticides, was found to be price inelastic, indicating that price changes do not significantly alter the quantity demanded.

4.3 Progress of research on CSA

Understanding the progress of research on CSA is essential for identifying and leveraging technological innovations—like greenhouse advancements, organic fertilizer products, and biotechnological crop improvements—that support sustainable agricultural adaptation. This knowledge enables the integration of nature-based strategies, informs policy, and underscores the importance of international cooperation in overcoming patent and CSA adoption challenges to ensure global food security amidst climate change. We collected one paper in this field.

Tey, Brindal, Darham and Zainalabidin’s paper, “ Adaptation technologies for climate-smart agriculture: A patent network analysis ”, delved into the advancements in technological innovation for agricultural adaptation within the context of CSA by analyzing global patent databases. The authors found that greenhouse technologies have seen a surge in research and development (R&D) efforts, whereas composting technologies have evolved into innovations in organic fertilizer products. Additionally, biotechnology has been a significant focus, aiming to develop crop traits better suited to changing climate conditions. A notable emergence is seen in resource restoration innovations addressing climate challenges. These technologies offer a range of policy options for climate-smart agriculture, from broad strategies to specific operational techniques, and pave the way for integration with nature-based adaptation strategies. However, the widespread adoption and potential impact of these technologies may be hindered by issues related to patent ownership and the path dependency this creates. Despite commercial interests driving the diffusion of innovation, international cooperation is clearly needed to enhance technology transfer.

5 Summary of key policy implications

The collection of 19 papers in this special issue sheds light on the critical aspects of promoting farmers’ adoption of CSA practices, which eventually help enhance agricultural productivity and resilience, reduce greenhouse gas emissions, improve food security and soil health, offer economic benefits to farmers, and contribute to sustainable development and climate change adaptation. We summarize and discuss the policy implications derived from this special issue from the following four aspects:

5.1 Improving CSA adoption through extension services

Extension services help reduce information asymmetry associated with CSA adoption and increase farmers’ awareness of CSA practices’ benefits, costs, and risks while addressing their specific challenges. Therefore, the government should improve farmers’ access to extension services. These services need to be inclusive and customized to meet the gender-specific needs and the diverse requirements of various farming stakeholders. Additionally, fostering partnerships between small and medium enterprises and agricultural extension agents is crucial for enhancing the local availability of CSA technologies. Government-sponsored extension services should prioritize equipping farmers with essential CSA skills, ensuring they are well-prepared to implement these practices. This structured approach will streamline the adoption process and significantly improve the effectiveness of CSA initiatives.

5.2 Facilitating CSA adoption through farmers’ organizations

Farmers’ organizations, such as village cooperatives, farmer groups, and self-help groups, play a pivotal role in facilitating farmers’ CSA adoption and empowering rural women’s adoption through effective information dissemination and the use of agricultural apps. Therefore, the government should facilitate the establishment and development of farmers’ organizations and encourage farmers to join those organizations as members. In particular, the proven positive impacts of farmer-based organizations (FBOs) highlight the importance of fostering collaborations between governments and FBOs. Supporting farmer cooperatives with government financial and technical aid is essential for catalyzing community-driven climate adaptation efforts. Furthermore, the successful use of DAS in promoting CSA adoption underscores the need for government collaboration with farmer groups to expand DAS utilization. This includes overcoming usage barriers and emphasizing DAS’s reliability as a source of climate-smart information. By establishing and expanding digital hubs and demonstration centres in rural areas, farmers can access and experience DAS technologies firsthand, leading to broader adoption and integration into their CSA practices.

5.3 Enhancing CSA adoption through agricultural training and education

Agricultural training and education are essential in enhancing farmers’ adoption of CSA. To effectively extend the reach of CSA practices, the government should prioritize expanding rural ICT infrastructure investments and establish CSA training centres equipped with ICT tools that target key demographics such as women and older people, aiming to bridge the digital adoption gaps. Further efforts should prioritize awareness and training programs to ensure farmers can access weather and agro-advisory services. These programs should promote the use of ICT-based tools through collaborations with technology providers and include regular CSA training and the establishment of demonstration fields that showcase the tangible benefits of CSA practices.

Education plays a vital role in adopting CAPs, suggesting targeted interventions such as comprehensive technical training to assist farmers with limited educational backgrounds in understanding the value of CAPs, ultimately improving their adoption rates. Establishing robust monitoring mechanisms is crucial to maintaining farmer engagement and success in CSA practices. These mechanisms will facilitate the ongoing adoption and evaluation of CSA practices and help educate farmers on the long-term benefits. Centralizing and disseminating information about financial products and subsidies through various channels, including digital platforms tailored to local languages and contexts, is essential. This approach helps educate farmers on financing options and requirements, supporting the adoption of CSA technologies among smallholder farmers. Lastly, integrating traditional and local knowledge with scientific research and development can effectively tailor CSA initiatives. This integration requires the involvement of a range of stakeholders, including NGOs, to navigate the complexities of CSA and ensure that interventions are effective but also equitable and sustainable. The enhanced capacity of institutions and their extension teams will further support these CSA initiatives.

5.4 Promoting CSA adoption through establishing social networks and innovating strategies

The finding that social networks play a crucial role in promoting the adoption of CSA suggests that implementing reward systems to incentivize current CSA adopters to advocate for climate-smart practices within their social circles could be an effective strategy to promote CSA among farmers. The evidence of a significant link between family farms’ awareness of social responsibility and their adoption of CSA highlights that governments should undertake initiatives, such as employing lectures and pamphlets, to enhance family farm operating farmers’ understanding of social responsibility. The government should consider introducing incentives that foster positive behavioural changes among family farms to cultivate a more profound commitment to social responsibility. The government can also consider integrating social responsibility criteria into the family farm awards and recognition evaluation process. These measures would encourage family farms to align their operations with broader social and environmental goals, promoting CSA practices.

Combining traditional incentives, such as higher wages and access to improved agricultural inputs, with innovative strategies like community-driven development for equipment sharing and integrating moral suasion with Payment for Ecosystem Services would foster farmers’ commitment to CSA practices. The finding that technological evolution plays a vital role in shaping adaptation strategies for CSA highlights the necessity for policy instruments that not only leverage modern technologies but also integrate them with traditional, nature-based adaptation strategies, enhancing their capacity to address specific CSA challenges. Policymakers should consider the region’s unique socioeconomic, environmental, and geographical characteristics when promoting CSA, moving away from a one-size-fits-all approach to ensure the adaptability and relevance of CSA practices across different agricultural landscapes. They should foster an environment that encourages the reporting of all research outcomes to develop evidence-based policies that are informed by a balanced view of CSA’s potential benefits and limitations.

Finally, governance is critical in creating an enabling environment for CSA adoption. Policies should support CSA practices and integrate environmental sustainability to enhance productivity and ecosystem health. Development programs must offer financial incentives, establish well-supported voluntary schemes, provide robust training programs, and ensure the wide dissemination of informational tools. These measures are designed to help farmers integrate CAPs into their operations, improving economic and operational sustainability.

6 Concluding remarks

This special issue has provided a wealth of insights into the adoption and impact of CSA practices across various contexts, underscoring the complexity and multifaceted nature of CSA implementation. The 19 papers in this special issue collectively emphasize the importance of understanding local conditions, farmer characteristics, and broader socioeconomic and institutional factors that influence CSA adoption. They highlight the crucial role of extension services, digital advisory services, social responsibility awareness, and diverse forms of capital in facilitating the adoption of CSA practices. Moreover, the findings stress the positive impact of CSA on farm productivity, income diversification, and resilience to climate change while also pointing out the potential for CSA practices to address broader sustainability goals.

Significantly, the discussions underline the need for policy frameworks that are supportive and adaptive, tailored to specific regional and local contexts to promote CSA adoption effectively. Leveraging social networks, enhancing access to financial products and mechanisms, and integrating technological innovations with traditional agricultural practices are vital strategies for scaling CSA adoption. Furthermore, the discussions advocate for a balanced approach that combines economic incentives with moral persuasion and community engagement to foster sustainable agricultural practices.

These comprehensive insights call for concerted efforts from policymakers, researchers, extension agents, and the agricultural community to foster an enabling environment for CSA. Such an environment would support knowledge exchange, financial accessibility, and the adoption of CSA practices that contribute to the resilience and sustainability of agricultural systems in the face of climate change. As CSA continues to evolve, future research should focus on addressing the gaps identified, exploring innovative financing and technology dissemination models, and assessing the long-term impacts of CSA practices on agricultural sustainability and food security. This special issue lays the groundwork for further exploration and implementation of CSA practices, aiming to achieve resilient, productive, and sustainable agricultural systems worldwide and contribute to the achievements of the United Nations Sustainable Development Goals.

Data availability

No new data were created or analyzed during this study. Data sharing is not applicable to this article.

The conference agenda, biographies of the speakers, and conference recordings are available at the ADBI website: https://www.adb.org/news/events/climate-smart-agriculture-adoption-impacts-and-implications-for-sustainable-development .

Profile of Prof. Edward B. Barbie: http://www.edwardbbarbier.com/ .

Google Scholar of Prof. Tatsuyoshi Saijo: https://scholar.google.co.nz/citations?user=ju72inUAAAAJ&hl=en&oi=ao .

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Acknowledgements

We want to thank all the authors who have submitted papers for the special issue and the reviewers who reviewed manuscripts on time. We acknowledge the Asian Development Bank Institute (ADBI) for supporting the virtual international conference on “ Climate-smart Agriculture: Adoption, Impacts, and Implications for Sustainable Development ” held on 10-11 October 2023. Special thanks to the invited keynote speakers, Prof. Edward Barbier and Prof. Tatsuyoshi Saijo. Finally, we would like to express our thanks, gratitude, and appreciation to the session chairs (Prof. Anita Wreford, Prof. Jianjun Tang, Prof. Alan Renwick, and Assoc. Prof. Sukanya Das), ADBI supporting team (Panharoth Chhay, Mami Nomoto, Mami Yoshida, and Raja Rajendra Timilsina), and discussants who made substantial contributions to the conference.

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Department of Global Value Chains and Trade, Faculty of Agribusiness and Commerce, Lincoln University, Christchurch, New Zealand

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Dil Bahadur Rahut

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Ma, W., Rahut, D.B. Climate-smart agriculture: adoption, impacts, and implications for sustainable development. Mitig Adapt Strateg Glob Change 29 , 44 (2024). https://doi.org/10.1007/s11027-024-10139-z

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Received : 08 April 2024

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Published : 29 April 2024

DOI : https://doi.org/10.1007/s11027-024-10139-z

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