秦巴山区农户多维贫困测度与影响因素研究  

Multidimensional Poverty Measurement of Peasant Households and Influence Factor in the Qinba Mountains

作　　者：叶拯 朱玉春[1] YE Zheng;ZHU Yuchun(College of Economics ＆ Management, Northwest A＆F University, Yangling, Shaanxi 712100)

机构地区：[1]西北农林科技大学经济管理学院,陕西杨凌712100

出　　处：《北方园艺》2018年第11期183-190,共8页Northern Horticulture

基　　金：国家自然科学基金资助项目(71273210);教育部规划基金资助项目(17YJA790102);陕西省2017年软科学资助项目(2017KRM148);陕西高校人文社会科学青年英才支持计划资助项目(陕教高2015(16)号)

摘　　要：基于Alkire-Foster多维贫困测量方法,从健康、教育、收入、生活水平4个维度10个指标对秦巴山区农户多维贫困进行测度和分解,同时运用Logit模型从户主特征、家庭特征、社会网络和村庄特征方面对农户多维贫困的影响因素进行分析。结果表明:生活燃料、健康状况和受教育程度指标的贫困发生率较高,尤其是生活燃料指标的贫困发生率达到91.15%;健康指标对农户多维贫困的贡献最大,达到46.96%,其次是收入,达到20.09%。户主年龄、家庭人口规模、家庭65岁及以上的人数、家庭到最近卫生所所需时间和村庄是否为自然灾害频发区均对农户多维贫困具有显著正向影响;而户主身体健康状况、家庭成员是否担任村干部、亲戚户数、每年礼金数和村庄水泥路占比均对农户多维贫困具有显著负向影响。基于以上结论,提出了相关建议。Based on the Alkire-Foster′s multidimensional poverty measurement method,the multidimensional poverty of households in Qinba Mountains from the health,education,income,level of life ten indexes in four dimensions were measured and decomposed.At the same time,using the Logit model from the head of the household characteristics,family characteristics,social networks and village characteristics to analyze the influence factors of multidimensional poverty of households.The results showed that the incidence of poverty of living fuel,health and education index was higher,especially the living fuel index reached 91.15%;the health index maked the largest contribution to the multidimensional poverty of households with 46.96%,followed by income,reaching 20.09%;the age of head of household,family size,the number of family members aged 65 and over,the time required by the family to the nearest health clinic and whether the village was a natural disaster frequency had a significant positive impact on the multidimensional poverty of households.However,the householder health,whether the family members were village cadres or not,the number of relatives,the annual number of gifts and the percentage of village cement roads all had a significant negative impact on the multidimensional poverty of households.Based on the above conclusions,some suggestions were put forward.

关 键 词：秦巴山区 农户 多维贫困 LOGIT模型 影响因素 

分 类 号：D422.7[政治法律—政治学]