我国农村贫困分解及组群研究  

Rural poverty decomposition and group study in China

作　　者：刘轶芳[1] 罗文博[2] 刘新波[3] 

机构地区：[1]中央财经大学经济学院,北京100081 [2]中央财经大学中国经济与管理研究院,北京100081 [3]中国社会科学院农村发展研究所,100732

出　　处：《系统工程理论与实践》2014年第6期1499-1509,共11页Systems Engineering-Theory & Practice

基　　金：国家社会科学基金(11BJL018);中国博士后基金;中央财经大学科研创新团队支持计划项目资助;中国财政发展协同创新中心(经济学院;气候与能源金融研究中心)研究成果

摘　　要：近20年快速的经济增长对我国减贫作用显著,但由于农村与城镇在居民收入、分配政策上的差异,农村贫困改善的速度低于城镇,更加突出其在我国减贫工作中的重要性.本文并非拘泥于现有地域特征划分依据,而是利用SST贫困综合测度指标的分解维度,创新性地提出按照贫困特征指标进行组别的划分,从而使我国农村贫困组群划分更科学合理.继而,本文采用CHNS数据库中我国农村9省的调研数据,对其进行组群分类研究;并通过FGT指数及其差异分解结果验证了分组结论的有效性.最后,结合分组及指数分解结果总结归纳出我国农村贫困的组群特征及差异原因,为针对不同组群提出更有针对性的减贫措施提供参考.Nearly 20 years of rapid economic growth has a significant impact in poverty reduction in China. However, rural districts show slower improvement due to the difference in individual income and distribution policy between rural and urban regions, which emphasizes the importance of rural distinets in poverty reduction in China. This paper is limited to neither geographical division nor economic zoning, but creatively utilizes the decomposition of SST index to group the provinces in a 3-dimensional space, that is, to group the provinces according to their performance and characteristics in poverty, aiming to make the division of rural poverty group more reasonable. We carry out the group study basing on the CHNS rural data of 9 provinces, and further prove validity of the division by Shapley decomposition of FGT index differences. Take into consideration the characteristic of rural poverty groups and sources of differences, we suggest specific measures be taken for poverty reduction of different groups for reference.

关 键 词：农村贫困 组群划分 SST指数 FGT指数 Shapley值分解 

分 类 号：C00[社会学] H00[语言文字—语言学]