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Determinants of Farmers' Decision-Making to Accept Crop Insurance: A Multinomial Logit Model Approach

机译:农民决策的决定因素接受作物保险:多项式Lo​​git模型方法

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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.
机译:随着农业商业化的发展趋势,由于不利事件的损失程度正在增加,农民承诺自杀。印度西孟加拉邦的Burdwan区成为新闻标题,因为农民自杀。本研究试图强调影​​响边缘农民决定接受Pradhan Mantri Fasal Bima Yojona(PMFBY)的要素。我们在2017年2月至2017年2月至10月的研究中收集来自701名农民的主要数据。七个估算经纪人,即教育,年龄,培育土地面积,自助群体(SHG),婚姻状况,性别和收入。而且使用多项逻辑回归来分析数据。结果表明,性别系数是消极的,这表明女性农民倾向于农民的农民保险(获得PMFBY)。结果表明,如果其他人申请和获得福利,农民的PMFBY和收入对某项情况的情况非常重要。

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