Adoption of Crop Insurance by Smallholder Farmers: Farm-Level Evidence from India

Rajesh Acharya H

School of Humanities, Social Sciences and Management, National Institute of Technology Karnataka, Surathkal, Mangalore 575025, India

DOI: https://doi.org/10.36956/rwae.v5i4.1197

Received: 26 July 2024 | Revised: 23 August 2024 | Accepted: 2 September 2024 | Published Online: 16 October 2024

Copyright © 2024 Rajesh Acharya H. Published by Nan Yang Academy of Sciences Pte. Ltd.

Creative Commons LicenseThis is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.


Abstract

The paper aims to analyse the extent and determinants of smallholder farmers’ adoption of crop insurance. The study conducted a primary survey and collected data from farmers in a drought-prone area of Karnataka state in India using a structured questionnaire. The study has applied a binary logistic regression model to identify the determinants of crop insurance adoption. Empirical results reveal that though most farmers experienced crop loss, only a small percentage subscribed to crop insurance regularly. Lack of money to pay premiums and lack of information are the most common reasons for not subscribing to crop insurance schemes. Further, farmers feel the premium is expensive and do not receive the promised compensation due to the stringent eligibility rules. Most farmers who received compensation think the money is inadequate to cover the cultivation cost. Farmers feel each farm should be treated as a unit against the area-based insurance concept, and more crops should be brought under insurance. They also highlighted the need to further subsidise the premium. Results of the logistic regression confirm that socially marginalised groups and farmers practising agriculture as an ancestral profession are less likely to insure their crops.

Keywords: Crop insurance; Logistic regression; Pradhan Mantri Fasal Bima Yojana (PMFBY); Small holder farmer


References

[1] Miranda, M.J., Glauber, J.W., 1997. Systemic risk, reinsurance, and the failure of crop insurance markets. American journal of agricultural economics. 79(1), 206–215. DOI: https://doi.org/10.2307/1243954

[2] Carter, M., de Janvry, A., Sadoulet, E., et al., 2017. Index insurance for developing country agriculture: A reassessment. Annual Review of Resource Economics. 9, 421–438. DOI: https://doi.org/10.1146/annurev-resource-100516-053352

[3] Smith, V.H., Watts, M., 2019. Index based agricultural insurance in developing countries: Feasibility, scalability and sustainability. Gates Open Research. 3, 65. DOI: https://doi.org/10.21955/gatesopenres.1114971.1

[4] Budhathoki, N.K., Lassa, J.A., Pun, S., et al., 2019. Farmers’ interest and willingness-to-pay for index-based crop insurance in the lowlands of Nepal. Land Use Policy. 85, 1–10. DOI: https://doi.org/10.1016/j.landusepol.2019.03.029

[5] Cariappa, A.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

[6] De Nicola, F., 2015. The impact of weather insurance on consumption, investment, and welfare. Quantitative Economics. 6(3), 637–661. DOI: https://doi.org/10.3982/QE300

[7] Varadan, R.J., Kumar, P., 2012. Impact of crop insurance on rice farming in Tamil Nadu. Agricultural Economics Research Review. 25(2), 291–298. Available from: https://ageconsearch.umn.edu/record/136386/files/10-J-Kumaravardhan.pdf

[8] Aidoo, R., Mensah, J.O., Wie, P., et al., 2014. Prospects of crop insurance as a risk management tool among arable crop farmers in Ghana. Asian Economic and Financial Review. 4(1), 341–354. Available from: https://archive.aessweb.com/index.php/5002/article/view/1162

[9] Ngoc Que Anh, N., Thanh Binh, P., Dang Thuy, T., 2019. Willingness to pay for agricultural flood insurance in the Mekong River Delta. Environmental Hazards. 18(3), 212–227. DOI: https://doi.org/10.1080/17477891.2018.1540342

[10] Budiasa, I.W., Temaja, I.G.R.M., Ustriyana, I.N.G., et al., 2020. The willingness of farmers to pay insurance premiums for sustainable rice farming in Bali. Journal of International Society for Southeast Asian Agricultural Sciences. 26(1), 63–72.

[11] Clarke, D.J., Clarke, D., Mahul, O., et al., 2012. Weather based crop insurance in India. World Bank. Paper no. 5985. DOI: https://doi.org/10.1596/1813-9450-5985

[12] Ye, T., Hu, W., Barnett, B.J., et al., 2020. Area yield index insurance or farm yield crop insurance? Chinese perspectives on farmers’ welfare and government subsidy effectiveness. Journal of Agricultural Economics. 71(1), 144–164. DOI: https://doi.org/10.1111/1477-9552.12326

[13] Huang, Z.Y., Alec, Z.U.O., Sun, J.M., et al., 2020. Potato farmers’ preference for agricultural insurance in China: An investigation using the choice experimental method. Journal of Integrative Agriculture. 19(4), 1137–1148. DOI: https://doi.org/10.1016/S2095-3119(19)62868-6

[14] Hazell, P.B., 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

[15] Zhou, R., Li, J.S.H., Pai, J, 2018. Evaluating effectiveness of rainfall index insurance. Agricultural Finance Review. 78(5), 611–625. DOI: https://doi.org/10.1108/AFR-11-2017-0102

[16] Ali, E., Egbendewe, A.Y., Abdoulaye, T., et al., 2020. Willingness to pay for weather index-based insurance in semi-subsistence agriculture: Evidence from northern Togo. Climate Policy. 20(5), 534–547. DOI: https://doi.org/10.1080/14693062.2020.1745742

[17] Maisashvili, A., Bryant, H., Knapek, G., et al., 2019. Are crop insurance premium-implied yield distributions valid?. Agricultural Finance Review. 79(4), 467–490. DOI: https://doi.org/10.1108/AFR-09-2018-0077

[18] Afriyie-Kraft, L., Zabel, A., Damnyag, L., 2020. Index-based weather insurance for perennial crops: A case study on insurance supply and demand for cocoa farmers in Ghana. World Development Perspectives. 20, 100237. DOI: https://doi.org/10.1016/j.wdp.2020.100237

[19] Le, S., Sanglestsawai, S., Bunyasiri, I.N., et al., 2020. Evidence of moral hazards in crop insurance in northeast China. Southeast Asian Journal of Economics. 8(1), 1–20. Available from: https://so05.tci-thaijo.org/index.php/saje/article/view/241841

[20] He, J., Zheng, X., Rejesus, R., et al., 2020. Input use under cost‐of‐production crop insurance: Theory and evidence. Agricultural Economics. 51(3), 343–357. DOI: https://doi.org/10.1111/agec.12558

[21] Kim, Y., Yu, J., Pendell, D.L., 2020. Effects of crop insurance on farm disinvestment and exit decisions. European Review of Agricultural Economics. 47(1), 324–347. DOI: https://doi.org/10.1093/erae/jbz035

[22] De Nicola, F., 2015, The impact of weather insurance on consumption, investment, and welfare. Quantitative Economics. 6(3), 637–661. DOI: https://doi.org/10.3982/QE300

[23] Pasaribu, S.M., 2010, Developing rice farm insurance in Indonesia. Agriculture and Agricultural Science Procedia. 1, 33–41. DOI: https://doi.org/10.1016/j.aaspro.2010.09.005

[24] Nyaaba, J.A., Nkrumah-Ennin, K., Anang, B.T., 2019. Willingness to pay for crop insurance in Tolon District of Ghana: Application of an endogenous treatment effect model. AIMS Agriculture and Food. 4(2), 362–375. DOI: https://doi.org/10.3934/agrfood.2019.2.362

[25] Dandekar, V.M., 1976. Crop insurance in India. Economic and Political Weekly. 11(26), A61–A80.

[26] Vyas, V.S., Singh, S., 2006. Crop insurance in India: Scope for improvement. Economic and Political Weekly. 41(43/44), 4585–4594. DOI: https://doi.org/10.2307/4418868

[27] Sinha, S., 2007, Agriculture insurance in India. CIRM Working Paper, Centre for Insurance and Risk Management, IFMR, Chennai. Available from: https://www.slideshare.net/slideshow/agriculture-insurance-in-india/7748706

[28] Singh, G., 2010. Crop insurance in India. Indian Institute of Management, Ahmedabad. Available from: https://www.iima.ac.in/publication/crop-insurance-india

[29] Nair, R., 2010. Crop insurance in India: changes and challenges. Economic and Political Weekly. 45(6), 19–22.

[30] Swain, M., 2014. Crop insurance for adaptation to climate change in India. Available from: https://sticerd.lse.ac.uk/textonly/india/publications/working_papers/ARCWP61-Swain.pdf

[31] Senapati, A.K., 2020. Do Farmers Value Insurance Against Extreme Droughts and Floods? Evidence from Odisha, India. Global Business Review. 0972150920957616. DOI: https://doi.org/10.1177/0972150920957616

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