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Insuring crops against climate risks: A most effective agricultural practice in India

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  • Biswal, Dinamani
  • Bahinipati, Chandra Sekhar

Abstract

Several studies have enquired about the reason for the low adoption of crop insurance in India and noticed determinants associated with demographic, socio-economic, landholding, institutional characteristics, etc. However, limited studies consider nationally representative sample data for analysis, and further, there is a dearth of understanding in the intensification of crop insurance adoption. A few studies reveal that determinants are different for adopting crop insurance and the number of crops insured. Thus, this study aims to identify factors influencing crop insurance adoption and the number of crops insured in India. The National Sample Survey Office 70th and 77th rounds related to the Situation Assessment Survey of Agricultural Households conducted in the 2012–13 and 2018–19 Kharif season (July - December) data are taken, and the double hurdle model is employed. Like other empirical studies in India, this study finds that socio-economic variables like caste, education, and economic status influence farmers’ behaviour towards crop insurance adoption. Large farmers are more likely to opt for crop insurance than other farmers. In particular, most variables related to access to various agricultural institutions are positive and significant for adoption but not for intensification of crop insurance. A separate analysis for landholding categories highlights the importance of these variables, particularly for marginal farmers. This needs special attention in the policy as it is imperative from the ongoing agricultural crisis in India to enhance adoption coverage so more farmers opt for crop insurance and purchase insurance for multiple crops. Such analysis is imperative as crop insurance is considered one of the most effective climate-smart agriculture practices.

Suggested Citation

  • Biswal, Dinamani & Bahinipati, Chandra Sekhar, 2026. "Insuring crops against climate risks: A most effective agricultural practice in India," Journal of Policy Modeling, Elsevier, vol. 48(2), pages 308-326.
  • Handle: RePEc:eee:jpolmo:v:48:y:2026:i:2:p:308-326
    DOI: 10.1016/j.jpolmod.2025.06.021
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    1. Asis Kumar Senapati, 2024. "Do Farmers Value Insurance Against Extreme Droughts and Floods? Evidence from Odisha, India," Global Business Review, International Management Institute, vol. 25(3), pages 561-584, June.
    2. Benedikte Bjerge & Neda Trifkovic, 2018. "Extreme weather and demand for index insurance in rural India," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(3), pages 397-431.
    3. Jayaraman, T. & Murari, Kamal, . "Climate Change and Agriculture: Current and Future Trends, and Implications for India," Review of Agrarian Studies, Foundation for Agrarian Studies, vol. 4(01).
    4. Subhankar Mukherjee & Parthapratim Pal, 2019. "On Improving Awareness about Crop Insurance in India," Journal, Review of Agrarian Studies, vol. 9(1), pages 46-68, January-J.
    5. Gaurav, Sarthak, 2015. "Are Rainfed Agricultural Households Insured? Evidence from Five Villages in Vidarbha, India," World Development, Elsevier, vol. 66(C), pages 719-736.
    6. Mustapha Yakubu Madaki & Harald Kaechele & Miroslava Bavorova, 2023. "Agricultural insurance as a climate risk adaptation strategy in developing countries: a case of Nigeria," Climate Policy, Taylor & Francis Journals, vol. 23(6), pages 747-762, July.
    7. P. K. Viswanathan & K. Kavya & Chandra Sekhar Bahinipati, 2020. "Global Patterns of Climate-resilient Agriculture: A Review of Studies and Imperatives for Empirical Research in India," Review of Development and Change, , vol. 25(2), pages 169-192, December.
    8. Shawn Cole & Xavier Giné & James Vickery, 2017. "How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1935-1970.
    9. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    10. Banerjee, Debisree & Bhattacharya, Uttam, 2011. "Innovations in Agricultural Insurance in India: Retrospect and Prospect," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 66(3), pages 1-15.
    11. Maximilian Auffhammer & V. Ramanathan & Jeffrey Vincent, 2012. "Climate change, the monsoon, and rice yield in India," Climatic Change, Springer, vol. 111(2), pages 411-424, March.
    12. Fahad, Shah & Wang, Jing & Hu, Guangyin & Wang, Hui & Yang, Xiaoying & Shah, Ashfaq Ahmad & Huong, Nguyen Thi Lan & Bilal, Arshad, 2018. "Empirical analysis of factors influencing farmers crop insurance decisions in Pakistan: Evidence from Khyber Pakhtunkhwa province," Land Use Policy, Elsevier, vol. 75(C), pages 459-467.
    13. Takahashi, Kazushi & Ikegami, Munenobu & Sheahan, Megan & Barrett, Christopher B., 2016. "Experimental Evidence on the Drivers of Index-Based Livestock Insurance Demand in Southern Ethiopia," World Development, Elsevier, vol. 78(C), pages 324-340.
    14. T. Jayaraman & Kamal Murari, 2014. "Climate Change and Agriculture: Current and Future Trends, and Implications for India," Journal, Review of Agrarian Studies, vol. 4(1), pages 1-49, February-.
    15. A.G. Adeeth Cariappa & Darshnaben P. Mahida & Priyanka Lal & B.S. Chandel, 2020. "Correlates and impact of crop insurance in India: evidence from a nationally representative survey," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 81(2), pages 204-221, August.
    16. Ayako Matsuda & Takashi Kurosaki, 2019. "Demand for temperature and rainfall index insurance in India," Agricultural Economics, International Association of Agricultural Economists, vol. 50(3), pages 353-366, May.
    17. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    18. Prabhu Pingali & Anaka Aiyar & Mathew Abraham & Andaleeb Rahman, 2019. "Transforming Food Systems for a Rising India," Palgrave Studies in Agricultural Economics and Food Policy, Palgrave Macmillan, number 978-3-030-14409-8, March.
    19. Akinwumi A. Adesina & Moses M. Zinnah, 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, International Association of Agricultural Economists, vol. 9(4), pages 297-311, December.
    20. Arslan, Aslihan & Belotti, Federico & Lipper, Leslie, 2017. "Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania," Food Policy, Elsevier, vol. 69(C), pages 68-81.
    21. Asif Ishtiaque & Timothy J. Krupnik & Vijesh Krishna & Md. Nasir Uddin & Jeetendra Prakash Aryal & Amit Kumar Srivastava & Shalander Kumar & Muhammad Faisal Shahzad & Rajan Bhatt & Maaz Gardezi & Chan, 2024. "Overcoming barriers to climate-smart agriculture in South Asia," Nature Climate Change, Nature, vol. 14(2), pages 111-113, February.
    22. Jonathan Morduch, 1995. "Income Smoothing and Consumption Smoothing," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 103-114, Summer.
    23. Shawn A. Cole & Wentao Xiong, 2017. "Agricultural Insurance and Economic Development," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 235-262, September.
    24. Chandra Sekhar Bahinipati & Vijay Kumar & P. K. Viswanathan, 2021. "An evidence-based systematic review on farmers’ adaptation strategies in India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 399-418, April.
    25. Anubhab Pattanayak & K. S. Kavi Kumar & Lavanya R. Anneboina, 2021. "Distributional impacts of climate change on agricultural total factor productivity in India," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 26(2), pages 381-401, April.
    26. Adusah-Poku, Frank & Takeuchi, Kenji, 2019. "Household energy expenditure in Ghana: A double-hurdle model approach," World Development, Elsevier, vol. 117(C), pages 266-277.
    27. Saumya Verma & Shreekant Gupta & Partha Sen, 2020. "Does Climate Change Make Foodgrain Yields More Unpredictable? Evidence from India," CESifo Working Paper Series 8161, CESifo.
    28. Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, Blackwell, vol. 9(4), pages 297-311, December.
    29. Architesh Panda, 2013. "Climate Variability and the Role of Access to Crop Insurance as a Social-Protection Measure: Insights from India," Development Policy Review, Overseas Development Institute, vol. 31, pages 57-73, November.
    30. Mobarak, A. Mushfiq & Rosenzweig, Mark R., 2012. "Selling formal Insurance to the Informally Insured," Center Discussion Papers 121671, Yale University, Economic Growth Center.
    31. Shawn Cole & Xavier Gine & Jeremy Tobacman & Petia Topalova & Robert Townsend & James Vickery, 2013. "Barriers to Household Risk Management: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 104-135, January.
    32. Kwame Asiam Addey & John Baptist D. Jatoe & George Tsey-Mensah Kwadzo, 2020. "Adoption of crop insurance in Ghana: an application of the complementary log-log truncated Poisson double-hurdle model," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 81(1), pages 76-93, June.
    33. Chandra Bahinipati & Unmesh Patnaik, 2015. "The damages from climatic extremes in India: do disaster-specific and generic adaptation measures matter?," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 157-177, January.
    34. Mukherjee, Subhankar & Pal, Parthapratim, . "On Improving Awareness about Crop Insurance in India," Review of Agrarian Studies, Foundation for Agrarian Studies, vol. 9(01).
    35. Komarek, Adam M. & De Pinto, Alessandro & Smith, Vincent H., 2020. "A review of types of risks in agriculture: What we know and what we need to know," Agricultural Systems, Elsevier, vol. 178(C).
    36. Aditya, K.S. & Khan, T., 2018. "Adoption of crop insurance and impact: insights from India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 31(2).
    37. Birthal, Pratap S. & Hazrana, Jaweriah & Negi, Digvijay S. & Mishra, Ashok K., 2022. "Assessing benefits of crop insurance vis-a-vis irrigation in Indian agriculture," Food Policy, Elsevier, vol. 112(C).
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