新疆县域多维贫困研究

doi:10.16716/j.cnki.65-1030/f.2016.02.005

新疆财经 ›› 2016,Issue (2): 36-46.doi: 10.16716/j.cnki.65-1030/f.2016.02.005

新疆县域多维贫困研究

王建军, 杨辉平, 虎晓坪

新疆财经大学统计与信息学院,新疆乌鲁木齐 830012

收稿日期:2016-02-29 出版日期:2016-04-25 发布日期:2020-11-27
作者简介:王建军(1955-),男,教授,研究方向:经济统计;杨辉平(1987-),男,硕士研究生,研究方向:统计学;虎晓坪(1992-),女,硕士研究生,研究方向:管理统计。
基金资助:
国家自然科学基金项目“新疆民族间文化认同水平测度、维度分解及机制构建”(71563048)

A Study of County-Level Multi-dimensional Poverty in Xinjiang

Wang Jianjun, Yang Huiping, Hu Xiaoping

Xinjiang University of Finance and Economics, Urumqi 830012,China

Received:2016-02-29 Online:2016-04-25 Published:2020-11-27

摘要/Abstract

摘要： 本文从森的能力贫困理论出发,通过构建多维贫困测评体系,运用AF方法对新疆县域多维贫困状况进行测度,结果发现:南疆县域极端贫困状况十分突出,且主要集中在经济发展水平、环境资源、生活水准三个维度;北疆县域贫困较南疆而言异质性显著,且其主要集中在环境资源、生活水准、健康三个维度。运用logistic回归对贫困县影响因素进行分析发现:经济发展、环境资源和生活水准均对脱贫有着积极影响,但教育的正向作用并未显现。

关键词: 多维贫困, 贫困测度, 影响因素

Abstract: According Sen’s ability poverty theory, through construction of the evaluation system of multi-dimensional poverty, this paper used the AF method to measure the status of county-level multi-dimensional poverty in Xinjiang and found that the situation of extreme poverty in counties in Southern Xinjiang is very prominent, and mainly concentrated in three dimensions, that is, the level of economic development, the environmental resources and the standard of living. Compared with that of counties in Southern Xinjiang, the heterogeneity of poverty in northern counties is significantly, focusing mainly on these three dimensions, they are the environmental resources, the living standards and the health. Then the logistic regression analysis was used and factors that have a positive impact on poverty reduction were found, they are economic development, environmental resources and living standards, however, the positive effect of education did not show significantly.

Key words: Multi-dimensional Poverty, Poverty Measurement, Influencing Factors

中图分类号:

F323.8

王建军, 杨辉平, 虎晓坪. 新疆县域多维贫困研究[J]. 新疆财经, 2016, (2): 36-46.

Wang Jianjun, Yang Huiping, Hu Xiaoping. A Study of County-Level Multi-dimensional Poverty in Xinjiang[J]. Finance & Economics of Xinjiang, 2016, (2): 36-46.

参考文献

[1]Rowntree. Poverty: a Study of Town Life[M].Nabu Press,1901:267-284.
[2]Townsend Peter.Poverty in the United Kingdom[M].University of California Press,1979:196-213.
[3]Hagenaars.A Class of Poverty Indices[M].International Economic Review,1987:583-602.
[4]王小林,Sabina Alkire.中国多维贫困测量—估计和政策含义[J].中国农村经济,2009(12):4-10.
[5]李佳路.农户多维度贫困测量——以S省30个国家扶贫开发工作重点县为例[J].财贸经济,2010,(10):63-68.
[6]宋志立.贫困脆弱性文献综述[J].经济研究导刊,2013(25):184-186.
[7]蒋翠侠,许启发,李亚琴.中国家庭多维贫困的统计测度[J].统计与决策,2011( 22):92-95.
[8]邹薇,方迎风.关于中国贫困的动态多维度研究[J].中国人口科学,2011(06):49-59.
[9]da Fonseca,Marcio A/MA.The Effects of Poverty on Children’s Development and Oral Health[J].Pediatric Dentistry,2012, 34(1).
[10]Leopoldo Laborda Castillo.The Effect of Poverty,Gender Exclusion,and Child Labor on Out-of-School Rates for Female Children[J].Journal of Research in Childhood Education,2014(2):162-181.
[11]Nazim N.Habibov.Public Beliefs Regarding the Causes of Poverty During Transition: Evidence from the Caucasus,Central Asia,Russia,and Ukraine[J].International Journal of Sociology and Social Policy,2011,31(1).
[12]陈光金.中国农村贫困的程度、特征与影响因素分析[J].中国农村经济,2008(9):13-25.
[13]段鹏,等.论我国农村贫困的决定因素——基于村民行为选择视角的实证分析[J].财经研究,2009(10):105-115.
[14]杨国涛,东梅.家庭特征对农户贫困的影响:基于西海固分户调查数据的分析[J].农业技术经济,2010(4):42-48.
[15]杜凤莲,孙婧芳.贫困影响因素与贫困敏感性的实证分析——基于 1991—2009 的面板数据[J]. 经济科学,2011(3):57-67.
[16]Sabina Alkire,James Foster.Counting and Multidimensional Poverty Measurement[J].Journal of Public Economics,2011(7-8):476-487.
[17]Patrickm Nussbaumer.Global Insights Based on the Multidimensional Energy Poverty Index[J].Sustainability,2013(5): 2060-2076.

新疆县域多维贫困研究

A Study of County-Level Multi-dimensional Poverty in Xinjiang

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