|Table of Contents|

Multidimensional Poverty Measurement of Peasant Households and Influence Factor in the Ethnic Minority Destitute Areas

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2019年09
Page:
176-183
Research Field:
Publishing date:

Info

Title:
Multidimensional Poverty Measurement of Peasant Households and Influence Factor in the Ethnic Minority Destitute Areas
Author(s):
ZHANG Xiong12ZHANG Qinghong1
(1.School of Statistics and Information,Xinjiang University of Finance and Economics,Urumqi,Xinjiang 830012;2.Xinjiang Social & Economic Statistics Research Center,Urumqi,Xinjiang 830012)
Keywords:
multidimensional povertypeasant householdscontiguous destitute areasinfluence factorethnic minority
PACS:
-
DOI:
10.11937/bfyy.20182831
Abstract:
To construct a multidimensional poverty index system for peasant households including ideology,mandarin level etc,based on the micro-survey data in 2017,the multidimensional poverty of peasant households in the three regions of the southern xinjiang were measured by using the A-F method,and the influence factors of multidimensional poverty in peasant households from the aspects of family characteristics,village characteristics and county characteristics were also systematically explored.The results showed that the diversified characteristics of peasant households′ poverty in this area were remarkable,and the incidence of multidimensional poverty was relatively high,and the contribution of ideology,mandarin level and income on multidimensional poverty were relatively large from dimension decomposing.These factors such as developing vocational skills training for the labour of peasant households,improving the natural conditions of peasant households′ production and living,building the village culture infrastructure,improving the accessibility to educational infrastructure,building the highway to the villages and increasing the public financial input in the county,can significantly reduce the possibility of peasant households sink into multidimensional poverty.

References:

[1]谢家智,车四方.农村家庭多维贫困测度与分析[J].统计研究,2017(9):44-55.[2]SEN A.Poverty:An ordinal approach to measurement[J].Econometrica,1976,44(2):219-231.[3]ALKIRE S,FOSTER J.Counting and multidimensional poverty measurement[J].Journal of Public Economics,2011,95(7):476-487.[4]王春超,叶琴.中国农民工多维贫困的演进:基于收入与教育维度的考察[J].经济研究,2014(12):159-174.[5]杨龙,汪三贵.贫困地区农户的多维贫困测量与分解:基于2010年中国农村贫困监测的农户数据[J].人口学刊,2015(2):15-25.[6]杨慧敏,罗庆,李小建,等.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[J].经济地理,2016(10):137-144.[7]张昭,杨澄宇,袁强.“收入导向型”多维贫困的识别与流动性研究:基于CFPS调查数据农村子样本的考察[J].经济理论与经济管理,2017(2):98-112.[8]将南平,郑万军.中国农民工多维返贫测度问题[J].中国农村经济,2017(12):58-69.[9]解垩.公共转移支付与老年人的多维贫困[J].中国工业经济,2015(11):32-46.[10]韩佳丽,王志章,王汉杰.贫困地区劳动力流动对农户多维贫困的影响[J].经济科学,2017(6):87-101.[11]谭燕芝,张子豪.社会网络、非正规金融与农户多维贫困[J].财经研究,2017(3):43-56.[12]刘林.边境连片特困区多维贫困测算与空间分布:以新疆南疆三地州为例[J].统计与信息论坛,2016(1):106-112.[13]张庆红,阿迪力?努尔.少数民族连片特困地区农户多维贫困分析:以新疆南疆三地州为例[J].农业现代化研究,2016(2):270-276.[14]张童朝,颜廷武,何可,等.基于市场参与维度的农户多维贫困测量研究:以连片特困地区为例[J].中南财经政法大学学报,2016(3):38-45.[15]刘林,李光浩.连片特困区少数民族农户多维贫困的动态变化与影响因素:以新疆南疆三地州为例[J].西部论坛,2017(1):115-124.[16]周常春,翟羽佳,车震宇.连片特困区农户多维贫困测度及能力建设研究[J].中国人口?资源与环境,2017(11):95-103.[17]秦其文.农民落后思想观念致其家庭贫困的路径分析[J].湖南农业大学学报(社会科学版),2007(10):24-28.[18]许圣道,田霖.我国农村地区金融排斥研究[J].金融研究,2008(7):195-206.[19]王修华,傅勇,贺小金,等.中国农户受金融排斥状况研究:基于我国8省29县1547户农户的调研数据[J].金融研究,2013(7):139-152.

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Last Update: 2019-06-14