多维贫困测量的概念、方法和实证分析——基于我国9村调研数据的分析  

Concept,approach and empirical analysis of multidimensional poverty measurement——A household analysis among 9 villages

作　　者：李飞[1] 

机构地区：[1]中国农业大学人文与发展学院,北京100193

出　　处：《广东农业科学》2012年第9期203-206,共4页Guangdong Agricultural Sciences

基　　金：国家社会科学基金青年项目(11CSH010)

摘　　要：贫困的概念经历了由一元向多维度的扩展,传统单维度测量方法的局限性使得其无法解释贫困的现象,而多维方法有助于我们理解贫困的本质特性,包括复杂性、模糊性和渗透性等。在多维度贫困测量的框架下,简要回顾多维贫困测量的概念和方法,并利用A-F贫困双重识别方法对我国9个村的农户贫困状况进行了收入、教育、健康、住房和社会关系5个维度的测量。9村中3.3%的农户存在不少于4个维度以上的贫困,高于2010年我国的国家贫困发生率2.8%,而且农户在教育、健康、住房维度的平均多维贫困发生率要高,不同的村庄多维贫困发生率不同,其中四川云梯村和云南南美村的多维贫困发生率较高,平均多维贫困发生率都超过了20%。农村扶贫政策需要考虑到教育、健康和住房方面,使得贫困地区共享发展的成果。The concept of poverty experienced the extension from unidimension to multidimension. The limitations of traditional unidimensional approach made it unable to understand the phenomenon of poverty, and multidimensional approach helped us to understand the essential characteristics of the poor, including the complexity, ambiguity and permeability. In this paper, taking the perspective of multidimensional,we briefly reviewed the concept and approach of muhidimensional poverty measurement, and measured the household poverty of 9 villages in the dimension of income, education, health and social relations by the Alkire-Foster dual cut-off approach. The results showed that 3.3% of 9 village households were of poverty at least four dimensions, higher than China＇s national poverty rate of 2.8% in 2010, and the average poverty rate of farmers in the education, health, housing dimensions was higher, the multidimensional poverty of different villages was heterogeneous, Yunti village in Sichuan and Nanmei village in Yunnan had a higher incidence of multidimensional poverty, the average incidence of multidimensional poverty were more than 20%. Rural poverty reduction policies need to take into account education, health and housing, and make the development more inclusive.

关 键 词：多维贫困 交叉贫困 联合贫困 双重贫困线 

分 类 号：C913.7[经济管理]