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生态敏感区农户多维贫困测度及影响因素分析——以河南省淅川县3个村为例    

Multidimensional Poverty Measurement and Influencing Factor Analysis at the Households Scale of the Ecological Sensitive Area:A Case Study on Three Villages of Xichuan County in Henan Province

文献类型:期刊文献

中文题名:生态敏感区农户多维贫困测度及影响因素分析——以河南省淅川县3个村为例

英文题名:Multidimensional Poverty Measurement and Influencing Factor Analysis at the Households Scale of the Ecological Sensitive Area:A Case Study on Three Villages of Xichuan County in Henan Province

作者:杨慧敏[1,2];罗庆[2,3];李小建[1,2];高更和[3]

第一作者:杨慧敏

机构:[1]河南大学环境与规划学院;[2]中原经济区"三化"协调发展河南省协同创新中心;[3]河南财经政法大学资源与环境学院

第一机构:河南大学环境与规划学院,中国河南开封475004

年份:2016

卷号:0

期号:10

起止页码:137-144

中文期刊名:经济地理

外文期刊名:Economic Geography

收录:CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2014】;CSSCI:【CSSCI2014_2016】;

基金:国家自然科学基金项目(41201131;41471117);河南省高等学校青年骨干教师资助计划(2014GGJS-078);河南省哲学社会科学规划项目(2012BSH008)

语种:中文

中文关键词:农户多维贫困;影响因素;样本村庄;生态敏感区;精准扶贫

外文关键词:households multidimensional poverty; influencing factors; sample village; ecological sensitive area; accurate poverty alleviation

摘要:通过借鉴MPI方法,使用河南省淅川县146户被调查农户的教育、健康、生活水平3个维度的7个指标数据对农户多维贫困进行测量。样本中,农户多维贫困特征明显,有较大比例的农户处于收入维度之外的多维贫困状态,房屋结构、家庭收入主要来源、医疗支出为家庭主要的致贫因素。此外,从个体、家庭、村庄等方面对农户处于多维贫困状态的影响因子进行分析,结果显示,户主年龄、户主受教育程度、家庭学生数量、外出务工劳动力数量、村庄水利设施状况、村庄到县城的距离6个影响因子均对农户处于多维贫困状况具有显著影响。最后,针对被调查农户多维贫困程度,扶贫措施应将家户健康、教育维度的因素考虑在内,实施精准扶贫,精准脱贫,逐步提高农户生活水平。
By using the MPI method, this article measures the multidimensional poverty at the households scale through146 surveyed households of three villages in Xichuan county of Henan province. The data include seven indices of three dimensions, such as the education, health and living standard. Among the surveyed households, its multidimensional poverty characteristic is obvious, and there are a large proportion of the households in the multidimensional poverty state apart from the income dimension. And the housing structure, main source of family income and the medical expenditure are the main poverty causes of the family. In addition, the paper analysis the impact factors of the households' multidimensional poverty from the individual, family and villages these three aspects. And the results showed that, the age of the householder, the level of education, the number of students, the number of migrant labor force in the family,the status of the water conservancy facilities in the village, the distance from the village to the town this six influencing factors have significant impact on the households which are in the multidimensional poverty status. Finally, as for the households multidimensional poverty in this three village, the implementation of poverty alleviation measures should be take health and education of the households into consideration, and take targeted measures in poverty alleviation and get rid of poverty, then improve the living standards of the farmers gradually.

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