research paper on crop insurance in india

Crop Insurance in India: Key Issues and Way Forward

Author(s): Dr. Ashok Gulati , Ms. Prerna Terway, Mr. Siraj Hussain

Working Paper 352

The research leading to this paper was undertaken at ICRIER as a part of the project “Supporting Indian Farms the Smart Way: Rationalising Subsidies and Investments for Faster, Inclusive and Sustainable Growth”. The project is supported by Syngenta Foundation to which we are grateful. We would like to thank Dr. Marco Ferroni, Dr. Yuan Zhou, and Baskar Reddy, of Syngenta Foundation for Sustainable Agriculture for their detailed and very useful comments. The authors would like to acknowledge the invaluable comments from officers of various insurance companies, Dr. Ashish Kumar Bhutani, Joint Secretary (Credit and Cooperation), Government of India, Dr. Shibendu S. Ray, Director of Mahalanobis National Crop Forecast Centre, Scott Sindelar, former Minister Counselor, U.S. Department of Agriculture, U.S. Embassy in India, Rajeev Chawla, Additional Chief Secretary, Karnataka and Vinod Kumar Singh, Directorate of Economics and Statistics, Uttar Pradesh. Our special thanks are due to Prof. Anwarul Hoda, Chair Professor of ICRIER’s Trade Policy and WTO Research Programme and Mr Umesh Mongia, Associate Vice President at ICICI Lombard General Insurance Company Limited for their helpful comments and suggestions to improve the paper.

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Operations Research in Development Sector pp 97–107 Cite as

Crop Insurance in India: A Mathematical Review

• Vidyottama Jain 8 &
• S. Dharmaraja 9  
• First Online: 29 August 2018

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Agriculture has occupied a crucial position in India’s economic development and economy since past times. In recent times, Government of India, concerned with the welfare of the farming community, have either encouraged or directly participated in setting up of risk-sharing institutions. Crop insurance is a basic tool by which farmers can stabilize their financial gain through farms and their investment against fatal results of losses due to natural hazards or low market prices. An academic literature review of crop insurance schemes that have been applied in Indian scenario is presented. This paper addresses the gaps between various crop insurance schemes. Further, the mathematical techniques for crop insurance used all over the world based on probabilistic approach, optimization approach and statistical approach is reviewed in brief. The findings of this review clearly show that insurance companies in India are not able to start up with the proper crop insurance schemes. The reason behind this is that the risk involved in agriculture is highly unpredictable and in addition, there is no historical data available on which any risk assessment model could be designed. Focusing over farmer’s decision to choose crop insurance scheme based on his awareness and perception, this paper finally concludes with some issues/future work pertaining to success of crop insurance schemes in India.

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Dandekar VM (1976) Crop insurance in India. Econ Polit Wkly 11(26):A61–A80

Google Scholar  

Raju SS, Chand R (2007) Progress and problems in agricultural insurance. Econ Polit Wkly 42(21):1905–1908

Pradhan Mantri Fasal Bima Yojana—Opportunities & challenges (2016). http://bimtechgnoida.blogspot.com , 01 May 2016

Chen S-L, Miranda MJ (2004) Modeling multivariate crop yield densities with frequent extreme events. In: AAEA meeting

Enjolras G, Kast R, Sentis P (2009) Diversification in area-yield crop insurance the multi linear additive model. In: 36th seminar of the European group of risk and insurance economists (EGRIE), Bergen, Norway, 21–23 Sept 2009

Finger R, Schmid S (2008) Modeling agricultural production risk and the adaptation to climate change. Agric Finan Rev 68(1):25–41

Article   Google Scholar  

Kaylen MS, Leohman ET, Preckel PV (1989) Farm level analysis of agricultural insurance: a mathematical programming approach. Agric Syst 30:235–244

Liu J, Men C, Cabrera VE, Uryasev S, Fraisse CW (2008) Optimizing crop insurance under climate variability. J Appl Meteorol Climatol 47:2572–2580

Quiggin J, Karagiannis G, Stanton J (1994) Crop insurance and crop production: an empirical study of moral hazard and adverse selection. In: Hueth DL, Furtan WH (eds) Economics of agriculture crop insurance. Kluwer Academic Publishers, Norwell, MA, pp 253–272

Chapter   Google Scholar  

Ahsan SM, Ali AAG, Kurian NJ (1982) Toward a theory of agricultural insurance. Am J Agric Econ 64(3):520–529

Nelson CH, Loehman ET (1987) Further toward a theory of agricultural insurance. Am J Agric Econ 69:523–531

Halcrow HG (1949) Actuarial structures for crop insurance. J Farm Econ 21:418–443

Miranda MJ (1991) Area-yield crop insurance reconsidered. Am J Agric Econ 73:233–242

Mahul O (1999) Optimum area yield crop insurance. Am J Agric Econ 81:75–82

Ramaswami B, Roe TL (2004) Aggregation in area-yield crop insurance: the linear additive model. Am J Agric Econ 86(2):420–431

Duncan J, Myers RJ (2000) Crop insurance under catastrophic risk. Am J Agric Econ 82(4):842–855

Sherrick BJ, Barry PJ, Ellinger PN, Schnitkey GD (2004) Factors influencing farmers’ crop insurance decisions. Am J Agric Econ 86(1):103–114

Rockafellar RT, Uryasev S (2000) Optimization of conditional value-at-risk. J Risk 2:21–41

Wang Q-S (2010) The farmers behavior in agricultural insurance under the Von Neuman-Morgenstern utility model. Agric Agric Sci Procedia 1:226–229

Venkatesh G (2008) Crop insurance in India—a study

Pal D, Mondol T (2010) Agricultural insurance in India: approaches and challenges. Int J Rural Stud 17:1–5

Ifft J (2001) Government Vs. Weather: the true story of crop insurance IN India. Research internship paper. Retrieved 20 Dec 2012 from unpan1.un.org/intradoc/groups/public/…/UNPAN023816.pdf

Raju SS, Chand R (2009) Agricultural risk and insurance in India: problems and prospects. Academic Foundation, New Delhi

Vyas VS, Singh S (2006) Crop insurance in India: scope for improvement. Econ Polit Wkly 41(43&44):4585–4594

Mahajan S, Bobade A (2012) Growth of NAIS: a study of crop insurance in India. Bauddhik 3(1):1–15. Retrieved 22 Dec 2012 from http://www.chimc.in/volume3No1/ResearchPaper-1.pdf

Kalavakonda V, Mahul O (2004) Crop insurance in Karnataka. Working paper, World Bank, Financial Sector Operations and Policy Department, Washington, DC

Nair R (2010) Crop insurance in India: changes and challenges. Econ Polit Wkly 45(6):19–22

Soni BK, Trivedi J (2013) Crop insurance: an empirical study on aware-ness and perceptions. Gian Jyoti E-J 3(2)

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Vidyottama Jain

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Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India

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Department of Mathematics, Faculty of Science and Technology, ICFAI Foundation of Higher Education University, Hyderabad, India

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Jain, V., Dharmaraja, S. (2019). Crop Insurance in India: A Mathematical Review. In: Tripathy, A., Subudhi, R., Patnaik, S., Nayak, J. (eds) Operations Research in Development Sector. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1954-9_7

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Understanding the potential of crop insurance in India: a study of the Prime Minister’s Crop Insurance Scheme

3ie evidence programme:  Agricultural Insurance Evidence Programme Author(s) : Padmaja Pancharatnam, Shreekanth Mahendiran,  Madhusudhan B.V. Rao,  Sridhar R Prasad,  Bhavani Seetharaman,  Jyotsna Jha,  Sowmya,  Thyagarajan R Institutional affiliation(s) : Centre for Budget and Policy Studies Grant-holding institution : Centre for Budget and Policy Studies Main implementing agency : Centre for Budget and Policy Studies Sex disaggregation : Yes Gender analysis : Yes Equity focus : Yes Study type: Process evaluation

In India, half of the population depends on agriculture and about 67 per cent of all cultivators are small or marginal farmers who own less than one hectare of land. Weather variations cause considerable crop loss and uncertainty over decisions around agriculture. Farmers are highly dependent on rainfall, and states with a significant proportion of dry zones, as Karnataka the second driest state in the country, have invested to make irrigation available. The state is well-known as reform-oriented and focuses on introducing interventions to benefit the farmers.

This study explores the feasibility and acceptability of using crop insurance by various stakeholders utilising their experiences and roles during the implementation process of the scheme.

Intervention design

Pradhan Mantri Fasal Bima Yojana (PMFBY) is a crop insurance scheme introduced in Kharif 2016. The PMFBY is operational in 22 out of the 30 Indian states.

The PMFBY consisted of insurance coverage for about 40 crops, primarily food crops, and some horticultural. The entire implementation of the scheme has three stages: pre-notification and notification, enrolment, and claims. During the first stage, farmers in a particular district receive notification about enrollment availability, the cut-off dates and the premium payable. All through the second stage, farmers usually enroll through banks and the bank has to enter all the information of the farmer enrolled with PMFBY on the crop insurance portal. In the third stage, claims and processes of assessing crop damage will depend on the risk type that the PMFBY covers. PMFBY employs a mixture of an area approach basis and individual approach for the assessment of crop damage.

The intervention hypothesised that a faster and greater accuracy of the estimation of yields should hasten the disbursal of funds, this in turn should stabilise farmers’ income.

This hypothesis was based on these assumptions:

• Technology is being employed for faster and better estimation of yields.
• Online enrollment integrates data on farmers enrolled and land records, and provide greater accessibility.

Evaluation design and methodology

This mixed-method study was conducted in Karnataka, a southern Indian state. Quantitative methods comprised a primary survey,  Agriculture Census (2011), and the  Status of Agricultural Farmer surveys from the National Sample Survey Organization (NSSO).  810 farmers were enrolled in the study, of which 781 respondents completed the baseline survey.  Qualitative methods included participant observation, semi-structured interviews with key stakeholders, and focus group discussions (FGDs).

Primary evaluation questions

This study answers the following questions:

a.    What are the vulnerabilities faced by farmers and the need and rationale for crop insurance? b.    How does the PMFBY function? What are the operational processes? what are the design and operational needs of this scheme in particular? c.    What is the socio-demographic profile of enrolled farmers vis-à-vis non-enrolled farmers? d.    What are the farmers’ expectations from and experience of PMFBY and other crop insurance schemes? e.    What is the budget allocation made towards this scheme? What does it reveal in terms of the budgetary priorities of the state? f.    In what ways might the design and operational barriers be addressed to enhance the uptake of the scheme by the most vulnerable? Has the scheme helped in enhancing the security and reducing vulnerabilities associated with crop failure? g.    What is the size of public expenditure for this scheme and how different it is from earlier schemes? How does it relate to the total public expenditure on agriculture and how has it impacted the budget for agriculture in Karnataka?

Primary findings

There is a need for greater awareness of the scheme and its features among marginal and small farmers and local government functionaries. Farmers expressed a weak understanding of the enrollment process, features of the area approach, their implications for eligibility for claims and other related aspects.

The authors reported that the claims were not paid before the next season, as expected. The reasons are that insurance companies rely on  crop cutting experiments (CCEs) for providing yield estimates and estimating the insurance payout accordingly, and enrollment errors.

Findings also suggest that only about 7 per cent of enrolled farmers consider crop insurance as the top priority measure of relief from the impact of crop loss and about 12 per cent reported crop insurance as their first response to mitigate crop loss. These findings indicate that farmers rely upon informal measures at the household or community levels as measures to mitigate agricultural risks.

Implications

Authors recommend an improvement in the CCE exercise would benefit not only the PMFBY but also other schemes in operation. The Department of Agriculture (DoA) should invest in operationalising smart sampling for easy identification of areas and more accurate randomisation of plots, thereby making the CCE process more efficient.

Even though operational guidelines mention the need for ‘special efforts to promote female participation’, it is recommended that the insurance company and its intermediaries take specific measures to step up improving female access to insurance schemes.

The incorporation of smart sampling will estimate yield accurately, and the team suggested that the government invests in weather stations and move towards the weather-based index to adopt satellite imagery.

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• DOI : 10.23846/TW13PE02

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Insights into crop insurance in the agriculture industry in india: an overview.

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doi 10.18805/BKAP604

• Agriculture insurance
• Crop insurance
• Pradhan mantri fasal bima yojana
• Weather-index based crop insurance scheme

INTRODUCTION

Table 1: Chronological analysis of crop insurance schemes in India after independence.

Table 2: Major Amendments made under PMFBY from 2016-2017 to 2020-2021.

• Aditya, K.S., Khan, T., Kishore, A. (2018). Adoption of crop insurance and impact: Insights from India. Agricultural Economics Research Review. 31(2): 163-174.
• Ahsan, S.M., Ali, A.A., Kurian, N.J. (1982). Toward a theory of agricultural insurance. American Journal of Agricultural Economics. 64(3): 510-529.
• Aryal, J.P., Sapkota, T.B., Khurana, R., Khatri-Chhetri, A., Rahut, D.B., Jat, M.L. (2020). Climate change and agriculture in South Asia: Adaptation options in smallholder production  systems. Environment, Development and Sustainability. 22(6): 5045-5075.
• Banerjee, D. and Bhattacharya, U. (2011). Innovations in agricultural insurance in India: Retrospect and prospect. Indian Journal of Agricultural Economics. 66(3): 457-471.
• Bhoi, B.K. and Dadhich, C.L. (2019). Agrarian Distress in India: Possible Solutions (No. 2019-017).  Indira Gandhi Institute  of Development Research. Mumbai, India.
• Bhushan, C. and Kumar, V. (2017). Pradhan Mantri Fasal Bima Yojna: An Assessment. Centre for Science and Environment.  New Delhi.
• Bhushan, C., Singh, G., Rattani, V., Kumar, V. (2016). Insuring Agriculture in Times of Climate Change. Centre for Science and Environment. New Delhi.
• Birthal, P.S., Negi, D.S. Hazrana, J. (2019). Trade-off between risk and returns in farmers’ choice of crops? Evidence from India. Agricultural Economics Research Review. 32(1): 11-23.
• Bjerge, B. and Trifkovic, N. (2018). Extreme weather and demand for index insurance in rural India. European Review of Agricultural Economics. 45(3): 397-431. 
• Blog, R. and Concern, F. (2022). Farmer’s Suicides-An Issue of Great Concern. Available online: https://times of India. India times.com/readersblog/hail-to-feminism/farmers- suicides-an-issue-of-great-concern-27472/ (accessed on 23 July 2022).
• Cariappa, A.G.A., Mahida, D.P., Lal, P., Chandel, B.S. (2021). Correlates and impact of crop insurance in India: Evidence  from a nationally representative survey. Agricultural Finance Review. 81(2): 204-221. 
• Dandekar, V.M. (1976). Crop insurance in India. Economic and Political Weekly. A61-A80.
• Deshpande, T. (2017). State of Agriculture in India, [Delhi: PRS Legislative Research (PRS)], Delhi, 1-28.
• Dupdal, R., Patil, B.L., Patil, S.L., Naik, B.S. (2020). Weather based crop insurance scheme: opportunities and challenges. International Research Journal of Social Sciences. 9(4): 56-59.
• Elabed, G. and Carter, M.R. (2015). Compound-risk aversion, ambiguity and the willingness to pay for microinsurance. Journal of Economic Behavior and Organization. 118: 150-166.
• Ferdous, Z., Zulfiqar, F., Datta, A., Hasan, A. K., Sarker, A. (2021). Potential and challenges of organic agriculture in Bangladesh: A review. Journal of Crop Improvement. 35(3): 403-426.
• Gaurav, S. (2015). Are rainfed agricultural households insured? Evidence from five villages in Vidarbha, India. World Development. 66: 719-736.
• Ghosh, R.K., Gupta, S., Singh, V. and Ward, P.S. (2021). Demand for crop insurance in developing countries: New evidence from India. Journal of Agricultural Economics. 72(1): 293- 320.
• Ghosh, R.K., Gupta, S., Singh, V. and Ward, P.S. (2019). Is there a market for multi-peril crop insurance in developing countries moving beyond subsidies? Evidence from India. International Food Policy Research Institute. 1820.
• Government of India (GoI). (2014). Report of the Committee to Review the Implementation of Crop Insurance Schemes in India. Department of Agriculture and Cooperation, Ministry of Agriculture, New Delhi.
• Government of India. (2018). Pradhan Mantri Fasal Bima Yojana: Operational Guidelines; New Delhi: Department of Agriculture, Cooperation and Farmers’ Welfare. Ministry of Agriculture and Farmers Welfare, Government of India New Delhi.
• 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.
• Haque, M.I. and Khan, M.R. (2017). Farmers’ sensitivity to crop loss: Evidence from India. International Journal of Economic  Research. 14(8): 91-100.
• Hartwig, R., Niehaus, G., Qiu, J. (2020). Insurance for economic losses caused by pandemics. The Geneva Risk and Insurance Review. 45(2): 134-170.
• IBEF. (2022). Agriculture in India: Information About Indian Agriculture  and Its Importance.
• Irz, X., Lin, L., Thirtle, C., Wiggins, S. (2001). Agricultural productivity  growth and poverty alleviation. Development Policy Review. 19: 449-466. 
• Jain, V. and Dharmaraja, S. (2019). Crop Insurance in India: A Mathematical Review. Operations Research in Development  Sector, Springer, Singapore. 97-107.
• Jha, N., Prashar, D., Khalaf, O.I., Alotaibi, Y., Alsufyani, A., Alghamdi,  S. (2021). Blockchain Based Crop Insurance: A Decentralized  Insurance System for Modernization of Indian Farmers. Sustainability. 13(16): 8921.
• Joy, S. (2019). India may become farmer suicide capital: Agri adviser.  Deccan Herald. 3.
• Kaur, S., Raj, H., Singh, H., Chattu, V.K. (2021). Crop Insurance Policies in India: An Empirical Analysis of Pradhan Mantri Fasal Bima Yojana. Risks. 9(11): 191.
• Kumar, A., Saroj, S., Mishra, A.K. (2021). Crop insurance and crop productivity: Evidence from rice farmers in Eastern India. The International Food Policy Research Institute. 1996.
• Mahul, O., Verma, N., Clarke, D.J. (2012). Improving Farmers’ Access to Agricultural Insurance in India. Policy Research Working Paper 5987, World Bank, Washington, DC.
• Manoj, S., Baljit, S. and Kundu, K.K. (2017). A critical analysis of existing crop insurance scheme in the light of PMFBY with special reference to Haryana. Annals of Agri Bio Research. 22(1): 93-98.
• Mohammed, Nazeeruddin. (2021). Crop Insurance in Andhara Pradesh.  International Journal of Research and Analytical  Reviews. 8(2).
• Mukherjee, S. and Pal, P. (2019). On improving awareness about crop insurance in India. Review of Agrarian Studies. 9: (2369-2020-1981).
• Mukhopadhyay, P., Sinha, M., Sengupta, P.P. (2019). Determinants of Farmers’ Decision-making to Accept Crop Insurance: A Multinomial Logit Model Approach. In Soft Computing in Data Analytics. Springer, Singapore. 267-275.
• Nair, R. (2010). Crop insurance in India: Changes and challenges. Economic and Political Weekly. 45(6): 19-22.
• Nirmal, R. and Babu, S.C. (2021). When Implementing Goes Wrong:  Lesson from Crop Insurance In India. International Food Policy Research Institute (IFPRI). Discussion Paper 02012. 
• Odening, M. and Shen, Z. (2014). Challenges of insuring weather risk in agriculture. Agricultural Finance Review. 74(2): 188-199.
• Online Source: https://pmfby.gov.in/insurance Company Directory (Pradhan Mantri Fasal Bima Yojana Ministry of Agriculture and Farmers Welfare).
• Online Source. https://www.aicofindia.com/AICEng/Pages/Global% 20Navigation/Evolution.aspx.
• Panda, A. (2013). Climate variability and the role of access to crop insurance as a social protection measure: Insights from India. Development Policy Review.031: 057-073. 
• 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.
• Pandey, D.S. (2015). Importance of crop insurance in meeting out the problems and challenges faced by Indian Agriculture in current scenario. International Journal of Scientific and Innovative Research. 3(2): 105-115.
• Rajeev, M. and Nagendran, P. (2019a). Crop insurance in India where do we stand? Economic and Political Weekly. 54: 28-35
• Rajeev, M. and Nagendran, P. (2019b). Where do we stand? Crop insurance in India. Review of Rural Affairs. 54: 26-27.
• Rajeev, M., Bhattacharjee, M., Vani, B.P. (2016). Climate Change and Uncertainty in Agriculture: Does Crop Insurance Help in India. Climate Change Challenge (3C) and Social- Economic  Ecological Interface-Building, Springer, Cham. 241-260.
• Raju, K.V., Naik, G., Ramseshan, R., Pandey, T., Joshi, P., Anantha, K.H., Rao, A.V.R.K., Moses Shyam, D., Kumara Charyulu,  D. (2016). Transforming weather index-based crop insurance in India: Protecting small farmers from distress. Status and a way forward. Research Report IDC-8. 
• Raju, S.S. and Chand, R. (2008). Agricultural Insurance in India Problems and Prospects. NCAP Working, Paper No. 8.
• Ranganathan, T., Mishra, A.K., Kumar, A. (2019). Crop Insurance and Food Security: Evidence from Rice Farmers in Eastern India. Invited Paper Presented at the 2019 Annual Meeting of the Allied Social Sciences Association (ASSA), Atlanta.
• Rao, K.N. (2002). Crop Insurance in India-Past, Present and Future. Vision: The Journal of Business Perspective. 6(2): 29-39.
• Rao, P. (2019). Insurance for the farmer. The Statesman. https:// www.thestatesman.com/opinion/insurancefor-the-farmer- 1502792655.html.
• Rohini, D. (2020). Finding the unseen: The curious case of India’s missing farmers. The Times of India.
• Sadati, S.A., Ghobadi, F.R., Sadati, S.A., Mohamadi, Y., Sharifi, O., Asakereh, A. (2010). Survey of effective factors on adoption of crop insurance among farmers: A case study of Behbahan County. African Journal of Agricultural Research. 5(16): 2237-2242.
• Saha, S., Sarkar, D., Mondal, P., Goswami, S. (2021). GIS and multi-criteria decision-making assessment of sites suitability for agriculture in an anabranching site of sooin river, India. Modeling Earth Systems and Environment. 7(1): 571-588.
• Senapati, A.K. (2020). Do farmers value insurance against extreme droughts and floods? Evidence from Odisha, India. Global Business Review. DOI: 10.1177/0972150920957616.
• Singh, N.P., Anand, B., Khan, M.A. (2018). Micro-level perception to climate change and adaptation issues: A prelude to mainstreaming climate adaptation into developmental landscape in India. Natural Hazards. 92(3): 1287-1304.
• Singh, P. and 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.
• Singh, R. (2013). Agricultural livelihoods and crop insurance in India: Situation analysis and assessment. Study Project: Risk Reduction through Rural Insurance Services, New Delhi. 1: 1-48 
• Singh, S. (2004). Crop insurance in India-a brief review. Journal of the Indian Society of Agricultural Statistics. 57: 217-225.
• Sovacool, B.K. (2018). Success and failure in the political economy of solar electrification: Lessons from World Bank Solar Home System (SHS) projects in Sri Lanka and Indonesia. Energy Policy. 123: 482-493.
• Swain, M. (2014). Crop insurance for adaptation to climate change in India. Working papers (61). Asia Research Centre (ARC), The London School of Economics and Political Science, London, UK.
• Tiwari, R., Chand, K. and Anjum, B. (2020). Crop insurance in India: A review of Pradhan Mantri Fasal Bima Yojana (PMFBY). FIIB Business Review. 9(4): 249-255.
• Van Asseldonk, M., Jongeneel, R., van Kooten, G.C., Cordier, J. (2019). Agricultural risk management in the European Union: A proposal to facilitate precautionary savings. Euro Choice. 18(2): 40-46.
• Vishnoi, L., Kumar, A., Kumar, S., Sharma, G., Baxla, A.K., Singh, K.K., Bhan, S.C. (2020). Weather based crop insurance for risk management in agriculture. Journal of Agrometeorology.  22(2): 101-108.
• Ward, P.S. and Makhija, S. (2018). New modalities for managing drought risk in rainfed agriculture: Evidence from a discrete choice experiment in Odisha, India. World Development.107: 163-175.
• Wu, S., Goodwin, B.K., Coble, K. (2019). Moral hazard and subsidized  crop insurance. Agricultural Economics. 51: 131-142.
• Zhichkin, K., Nosov, V., Zhichkina, L., Grigoryeva, O., Kondak, V., Lysova, T. (2020). The impact of variety on the effectiveness  of crop insurance with state support. In IOP Conference Series: Earth and Environmental Science. 433(1). DOI: 10.1088/1755-1315/433/1/012004.

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