Abstract
With the developing trends of commercialization of agriculture, the magnitude of loss due to unfavorable eventualities is increasing and the farmers committed suicides. Burdwan district of West Bengal, India, becomes news headline because of farmer suicide. This study tries to underscore the elements which impact marginal farmers’ decision to accept Pradhan Mantri Fasal Bima Yojona (PMFBY). We collect primary data from 701 farmers in the study over period of from February 2017 to October 2017. Seven estimators, namely education, age, cultivating land area, self-help groups (SHGs), marital condition, gender, and income, are considered, and multinomial logistic regression was used to analyze the data. Results show that gender coefficient is negative which indicates female farmer are prone to agro insurance (access to PMFBY) than male farmers. Results indicate that farmers’ PMFBY and income are significant to the situation that one applies if others apply and get benefit.
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References
Agriculture Insurance Company of India Ltd. www.aicofindia.org
Agricultural Statistics at a Glance: Agricultural Statistics Division, Department of Agriculture and Co-operation, Ministry of Agriculture, GOI, New Delhi (2017)
Ashan, M.S., Ali, A.G., Kurian, N.J.: Toward a theory of agricultural insurance. Am. J. Agric. Econ. 64(3), 520–529 (1982)
Binswanger, H.: Attitudes toward risk—experimental measurement in rural India, World Bank Documents & Reports. Am. J. Agric. Econ. (1980)
Dandekar, Crop Insurance in India-A Review, 1976–77 to 1984–85, Economic & Political Weekly, vol. 20, issue 25–26 (1985)
Economic Survey (2007–2016): Ministry of Finance, Government of India, New Delhi
Ghosh, N., Yadav, S.S.: Problems and Prospects of Crop Insurance: Reviewing Agricultural Risk and NAIS in India (2008)
Hardaker, J.B., Lien, G., Huirne, R.B.M., Anderson, J.R.: Coping with risk in agriculture. Applied Decision Analysis, 3rd edn, pp. 107–126 (2015)
Jodha: Public Policies towards Formal Crop Insurance, pp. 20–23 (1978)
Mellor, J.W.: Production economics and the modernization of traditional agricultures. 13(1), 25–34 (1969)
Ramkumar, M., Kumaraswamy, K., Mohanraj, R.: Environmental Management of River Basin Ecosystems, pp. 1–20 (2008)
Acknowledgements
Corresponding author is thankful to the Ethics Committee formed by the Department of Humanities and Social Science, NIT, Durgapur, for monitoring and conducting the primary survey for his doctoral research study regarding issues on Pradhan Mantri Fasal Bima Yojona on 701 farmers located at various rural areas of Burdwan district of West Bengal, India, over the period of February 2017 to October 2017. The survey provides the primary data used in the present paper.
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Mukhopadhyay, P., Sinha, M., Sengupta, P.P. (2019). Determinants of Farmers’ Decision-Making to Accept Crop Insurance: A Multinomial Logit Model Approach. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_27
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DOI: https://doi.org/10.1007/978-981-13-0514-6_27
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