Agricultural Insurance in Maharashtra, India: Determinants of Adoption and Policy Implications
Symbiosis School for Online and Digital Learning, Symbiosis International (Deemed University), Pune 412115, India
YouthAid Global Services Private Limited, Pune 411001, India
DOI: https://doi.org/10.36956/rwae.v7i1.2174
Received: 19 May 2025 | Revised: 1 August 2025 | Accepted: 2 September 2025 | Published Online: 16 December 2025
Copyright © 2025 Arvind Rite, Vikas Abnave. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
Maharashtra is known as a rainfed agricultural state and is highly prone to climatic fluctuations. Crop insurance schemes play a vital role in ensuring farmers' incomes during crop failures. However, the execution of PMFBY in India has faced numerous challenges, such as delays in settling claims, discrepancies between premiums collected and claims paid out, and unequal distribution. These multifaceted challenges highlight the complexity and the need to identify the determining factors for better adoption of the crop insurance scheme. Therefore, the key objective of this paper is to analyse the performance of PMFBY in Maharashtra, identifying key issues and barriers to its effectiveness and inclusiveness. This study adopts a mixed-methods approach. Secondary data was collected from existing literature, policy papers/reports to grasp the first-hand information. Primary data gathering encompasses surveys and discussions with 400 farmers, and insurance personnel, to glean insights into their encounters, perceptions, and suggestions concerning PMFBY. This research endeavours to examine the factors that influence the engagement of farmers in crop insurance programs through the application of binary logistic regression analysis. We analysed the impact of demographic, socio-economic, and behavioural variables on the probability of obtaining insurance coverage. The key findings indicate that educational attainment and access to irrigation resources enhance the likelihood of insurance participation, whereas gender and caste affiliations, exhibit a correlation with diminished participation rates. These findings underscore the need of targeting marginalized populations and augmenting access to essential infrastructure in order to enhance insurance coverage and encouraging farmer involvement.
Keywords: Crop Insurance; Climate Change; Rain‑fed; Risk Mitigation
References
[1] Hazell, P.B.R., 1992. The appropriate role of agricultural insurance in developing countries. Journal of International Development. 4(6), 567–581. DOI: https://doi.org/10.1002/jid.3380040602
[2] Hess, U., Hazell, P., Kuhn, S., 2016. Innovations and emerging trends in agricultural insurance. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH. Available from: https://www.researchgate.net/publication/306379708_Innovations_and_Emerging_Trends_in_Agricultural_Insurance (cited 3 November 2024).
[3] Rosenzweig, M.R., Binswanger, H.P., 1993. Wealth, Weather Risk and the Composition and Profitability of Agricultural Investments. The Economic Journal. 103(416), 56. DOI: https://doi.org/10.2307/2234337
[4] Cariappa, A.G.A., Mahida, D.P., Lal, P., et al., 2020. Correlates and impact of crop insurance in India: evidence from a nationally representative survey. Agricultural Finance Review. 81(2), 204–221. DOI: https://doi.org/10.1108/AFR-03-2020-0034
[5] Sadoulet, E., de Janvry, A., 1995. Quantitative Development Policy Analysis. Zeitschrift Fur Auslandische Landwirtschaft. 35(3), 295–298. Available from: https://www.academia.edu/69086486/Quantitative_Development_Policy_Analysis (cited 3 November 2024).
[6] Assouto, A.B., Houensou, D.A., Semedo, G., 2020. Price risk and farmers’ decisions: A case study from Benin. Scientific African. 8, e00311. DOI: https://doi.org/10.1016/j.sciaf.2020.e00311
[7] Wossen, T., Berger, T., Haile, M.G., et al., 2018. Impacts of climate variability and food price volatility on household income and food security of farm households in East and West Africa. Agricultural Systems. 163, 7–15. DOI: https://doi.org/10.1016/j.agsy.2017.02.006
[8] Aggarwal, P.K., 2016. Report of the Task Force on: Enhancing Technology Use in Agriculture Insurance. National Institute for Transforming India. Available from: https://www.niti.gov.in/sites/default/files/2023-02/EnhancingTechnology-Use-in-AgricultureInsurance-30-07-21.pdf (cited 3 November 2024).
[9] Majumder, S.H., 2023. Crop Insurance in Odisha—Progress, Deficit and Scope. Economic Affairs. 68(2). DOI: https://doi.org/10.46852/0424-2513.2.2023.8
[10] Mukherjee, S., Pal, P., 2019. On Improving Awareness about Crop Insurance in India. Review of Agrarian Studies. 9(1), 46–68. DOI: https://doi.org/10.25003/RAS.09.01.0006
[11] Singh, P., Agrawal, G., 2020. Development, present status and performance analysis of agriculture insurance schemes in India: Review of evidence. International Journal of Social Economics. 47(4), 461–481. DOI: https://doi.org/10.1108/IJSE-02-2019-0119
[12] Kumar, Y., Singh, P.K., 2019. To Study the Influence of Insurance Policy on the Agriculture Field and Indian Economy: Concept Paper. In: Chattopadhyay, J., Singh, R., Prakash, O. (Eds.). Renewable Energy and Its Innovative Technologies. Springer Singapore: Singapore, pp. 13–24. DOI: https://doi.org/10.1007/978-981-13-2116-0_2
[13] Mukhopadhyay, P., Sengupta, P.P., 2019. Acceptance of Bengal Fasal Bima Yojona by the Farmers: A Study of Purba Burdwan District of West Bengal, India. International Journal of Asian Business and Information Management. 10(2), 126–142. DOI: https://doi.org/10.4018/IJABIM.2019040107
[14] Tiwari, R., Chand, K., Anjum, B., 2020. Crop Insurance in India: A Review of Pradhan Mantri Fasal Bima Yojana (PMFBY). FIIB Business Review. 9(4), 249–255. DOI: https://doi.org/10.1177/2319714520966084
[15] Gaurav, S., 2015. Are Rainfed Agricultural Households Insured? Evidence from Five Villages in Vidarbha, India. World Development. 66, 719–736. DOI: https://doi.org/10.1016/j.worlddev.2014.09.018
[16] Arora, A., Birwal, D., 2017. Natural calamities, crop losses and coping strategies: an economic analysis from Odisha. Indian Journal of Agricultural Economics. 72(3), 385–395. Available from: https://www.researchgate.net/publication/323812836_Natural_calamities_crop_losses_and_coping_strategies_An_economic_analysis_from_Odisha (cited 06 December 2024).
[17] Afshar, M.H., Foster, T., Higginbottom, T.P., et al., 2021. Improving the Performance of Index Insurance Using Crop Models and Phenological Monitoring. Remote Sensing. 13(5), 924. DOI: https://doi.org/10.3390/rs13050924
[18] Danandeh Mehr, A., Sorman, A.U., Kahya, E., et al., 2020. Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey. Hydrological Sciences Journal. 65(2), 254–268. DOI: https://doi.org/10.1080/02626667.2019.1691218
[19] Ghosh, R.K., Gupta, S., Singh, V., et al., 2021. Demand for Crop Insurance in Developing Countries: New Evidence from India. Journal of Agricultural Economics. 72(1), 293–320. DOI: https://doi.org/10.1111/1477-9552.12403
[20] Prakash, R., Gupta, L., 2014. Role of crop insurance in national food security. International Journal of Banking, Risk and Insurance. 2(1), 39–44. Available from: http://www.publishingindia.com/ijbri/56/role-of-crop-insurance-in-national-food-security/282/2070/ (cited 06 March 2025).
[21] Ghosh, R.K., Gupta, S., Singh, V., et al., 2019. Is there a market for multi-peril crop insurance in developing countries moving beyond subsidies? Evidence from India. International Food Policy Research Institute: Washington, DC, USA. DOI: https://doi.org/10.2499/p15738coll2.133198
[22] Govindaraj, Anitha, 2016. Crop Insurance Models and Relief Measures in India and Madhya Pradesh. Atal Bihari Vajpayee Institute of Good Governance & Policy Analysis: Bhopal, Madhya Pradesh.
[23] Department of Agriculture & Cooperation, 2015. Report of the Committee to Review the Implementation of Crop Insurance Schemes in India. No. 6893. pp. 1-74. Available from: https://ideas.repec.org/p/ess/wpaper/id6893.html (cited 12 December 2024).
[24] Rajeev, M., Nagendran, P., 2023. Protecting land and livelihood under climate risks: What hinders crop insurance adoption? Land Use Policy. 131, 106711. DOI: https://doi.org/10.1016/j.landusepol.2023.106711
[25] Michels, M., Mußhoff, O., 2025. Psychological factors as triggers for futures trading adoption: evidence from German farmers. Agricultural and Food Economics. 13(1), 48. DOI: https://doi.org/10.1186/s40100-025-00387-1
[26] Dey, K., Maitra, D., 2017. Agriculture insurance in India. Economic and Political Weekly. 52(52), 89. Available from: https://www.epw.in/journal/2017/52/review-rural-affairs/agriculture-insurance-india.html (cited 12 December 2024).
[27] Gulati, A., Terway, P., Hussain, S., 2018. Crop Insurance in India: Key Issues and Way Forward. Working Paper No. 352. Indian Council for Research on International Economic Relations. Available from: https://www.econstor.eu/bitstream/10419/176379/1/Working_Paper_352.pdf (cited 03 November 2024).
[28] Hohl, R.M., 2018. Agricultural Risk Transfer: From Insurance to Reinsurance to Capital Markets, 1st ed. Wiley: Hoboken, NJ, USA. Pp 149-187. DOI: https://doi.org/10.1002/9781119345664
[29] Shirsath, P., Vyas, S., Aggarwal, P., et al., 2019. Designing weather index insurance of crops for the increased satisfaction of farmers, industry and the government. Climate Risk Management. 25, 100189. DOI: https://doi.org/10.1016/j.crm.2019.100189
[30] Sundar, J., Ramakrishnan, L., 2015. A study on awareness, purchase benefits and satisfaction level towards crop insurance. Pacific Business Review International. 7(11), 38-45. Available from: https://www.pbr.co.in/2015/2015_month/May/5.pdf (cited 03 November 2024).
[31] Panda, A., 2017. Vulnerability to climate variability and drought among small and marginal farmers: a case study in Odisha, India. Climate and Development. 9(7), 605–617. DOI: https://doi.org/10.1080/17565529.2016.1184606
[32] Kaur, S., Raj, H., Singh, H., et al., 2021. Crop Insurance Policies in India: An Empirical Analysis of Pradhan Mantri Fasal Bima Yojana. Risks. 9(11), 191. DOI: https://doi.org/10.3390/risks9110191