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精准识别视角下产业扶贫效果评估

王立剑 叶小刚 陈杰

中国人口·资源与环境2018,Vol.28Issue(1):113-123,11.
中国人口·资源与环境2018,Vol.28Issue(1):113-123,11.DOI:10.12062/cpre.20170619

精准识别视角下产业扶贫效果评估

Performance evaluation of industrial poverty alleviation from the perspectivie of precise recognition

王立剑 1叶小刚 1陈杰2

作者信息

  • 1. 西安交通大学公共政策与管理学院,陕西西安710049
  • 2. 广东省科技创新监测研究中心,广东广州510033
  • 折叠

摘要

Abstract

Although industrial poverty alleviation is the basic approach to help the poor farmers out of poverty,the accurate estimate of the performance on it is researched less.In view of this,this paper uses the propensity score matching method to construct the evaluation model of industrial poverty alleviation and take the survey data of poor households of Shaanxi province for empirical research.Firsdy,Based on the Muitidimensonal Poverty Index and the relevent literature,this papar constructs the variable index system of industrial poberty alleviation from three dimensions:economic condition,living standard and spiritual dependence to evaluate the effect of industrial poverty alleviation.And the covariate index system is presented from three dimensions individual factors,precison identification and supporting measures by drawing on the SPO theory and RHB model.Secondly,following the procedures of establishing the propensity score probability model,equilibrium evaluation,treatment effect estimation and sensitivity analysis,this paper analyzes the effect of industryial poverty alleviation in Shaanxi province.On the basis of the study mentioned above,the following conclusion are given in this paper:in general,the effect of poverty alleviation industry is limited in Shaanxi province and this conclusion is verified by different macting methods and less sensive;the specifical effect of industrial poverty alleviation is that the industry can increase per capital income 1510.04 yuan under the guidence of one to one matching and it has no significant effects on improvement of the living standards and psychological dependence.The paper also finds that poverty coefficient,labor ability,skills training,industrial adaptability and infrastructure are six major factors affecting poor families to participate in industrial poverty alleviation.In particular,the industrial poverty alleviation is hard to cover the extremely poor households;the poor household who has strong family labor force,receive the skills training and financial support or lives in inadequate infrastructure village is more likely to participate in industrial poverty;and compared with the stronger industrial adaptability areas,the area with moderate industrial adaptability are less involved in industral poverty alleviation.Based on the above research results,this paper puts forward four suggestions including:adjusting the poverty alleviation loan policy,breaking through the way of poverty alleviation,building the precision identification system of poverty alleviation industry and establishing the mechanism of the benefit of the poor households and enterprises accordingly.

关键词

精准识别/产业扶贫/效果评估/倾向得分匹配

Key words

percise recognition/industrid poverty alleviation/performance evduation/propensity score matching

分类

社会科学

引用本文复制引用

王立剑,叶小刚,陈杰..精准识别视角下产业扶贫效果评估[J].中国人口·资源与环境,2018,28(1):113-123,11.

基金项目

2017年度民政政策理论研究委托课题“支出型贫困研究”(批准号:2017MZRL0114) (批准号:2017MZRL0114)

中央高校基本科研业务费专项资金资助“支出型贫困家庭社会救助困境及对策建议”(批准号:SK2017036). (批准号:SK2017036)

中国人口·资源与环境

OA北大核心CSCDCSSCICSTPCD

1002-2104

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