尼泊尔家庭收入对奶牛保险的决定因素和影响

S. Subedi, R. Kattel
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摘要

尼泊尔农业保险市场以畜牧业为主导,牛是畜牧业生产系统中最受欢迎的动物。本研究旨在探讨农户家庭收入对奶牛保险的影响及影响因素。这项研究是基于在尼泊尔奇旺和纳瓦尔帕拉西地区进行的实地调查。采用分层简单随机抽样法对160户家庭进行抽样。2017年的数据收集采用预先测试的访谈时间表和焦点小组讨论(FGD)。t检验结果显示,耕牛农户家庭年收入、卖奶收入、平均养牛量显著高于非耕牛农户。采用概率模型对影响采用牛保险决策的因素进行了评估。probit模型表明,牛品种、贷款可及性、牲畜收入和牛头数与采用牛保险呈显著正相关,家庭规模和地区dummy与采用牛保险呈显著负相关。收入回归函数显示,投保、养牛数量和地区与畜牧收入有显著正相关。采用工具变量模型来对抗内生性偏差,结果表明,参保和地区与畜牧收入存在显著正相关关系。虽然结果是针对农民的,但研究结果对政策制定者在促进改良品种和促进农业信贷方面具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining factors and impact of household income on dairy cattle insurance in Nepal
Nepalese agriculture insurance market is dominated by livestock sector and cattle are the most popular class of animal in livestock production system. This study was conducted to identify the determining factors and impact of household income on dairy cattle insurance. This study was based on the field survey conducted in Chitwan and Nawalparasi districts of Nepal. A total of 160 households were sampled using a stratified simple random sampling technique. Data were collected using a pre-tested interview schedule and focus group discussion (FGD) in 2017. The result of t-test showed annual household income, income from milk sell, and average cattle holding significantly higher in cattle insurer farmers than that of non-insurers. A probit model was used to assess the factors affecting the decision for the adoption of cattle insurance. The probit model revealed that cattle breed, access to loan, income from livestock, and number of cattle had a positive and significant relationship with the adoption of cattle insurance whereas, household size and district dummy had a negative and significant relationship with the adoption of cattle insurance. Income regression function revealed that the adoption of insurance, the number of cattle, and the district of the respondents had a positive and significant relation with income from livestock. The instrumental variable model adopted to combat endogeneity bias showed that adoption of insurance and district of the respondents had a positive and significant relation with income from livestock. Although the results are farmers specific, findings have implications for policymakers regarding promotion of improved breeds and facilitation of farm credit.
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