中国城市贫困的多维测度及治理
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摘要
通过对收入贫困和多维贫困的测度和比较,研究了中国城市贫困问题,创新性地从收入、教育、健康和生活条件四个维度,测度中国城市多维贫困,并进行相应分解。通过梳理当前的城市扶贫政策和总结中国城市贫困治理的特色,认为多维治理才是解决城市贫困问题的最终归宿。针对多维贫困的"内卷化"问题,提出在多维贫困测度的维度上应从收入、教育和生活条件四个维度进行测度和分析。
Through the measurement and comparison of income poverty and multidimensional poverty, the author studies problems of urban poverty in China,and measures and decomposes innovatively the multidimensional poverty in Chinese cities from four dimensions of income, education, health and living conditions. By combing the current urban poverty alleviation policies and summarizing the characteristics of urban poverty governance in China, it is believed that multi-dimensional governance is the ultimate destination to solve the urban poverty problem. In view of the "internalization" of multidimensional poverty, this paper proposes to measure and analyze the multidimensional poverty from the four dimensions of income,education and living conditions.
Through the measurement and comparison of income poverty and multidimensional poverty, the author studies problems of urban poverty in China,and measures and decomposes innovatively the multidimensional poverty in Chinese cities from four dimensions of income, education, health and living conditions. By combing the current urban poverty alleviation policies and summarizing the characteristics of urban poverty governance in China, it is believed that multi-dimensional governance is the ultimate destination to solve the urban poverty problem. In view of the "internalization" of multidimensional poverty, this paper proposes to measure and analyze the multidimensional poverty from the four dimensions of income,education and living conditions.
引文
[1]Alkire S,Foster J.Counting and Multidimensional Poverty Measurement[J].Journal of Public Economics,2011(95):476-487.
[2]Bourguignon F,Chakravarty S R.The measurement of multidimensional poverty[J].Journal of Economic Inequality,2003(1):25-49.
[3]Lugo MA,Maasoumi E.Multidimensional poverty measures from an information theory perspective[R].OPHIworking paper,2009.
[4]阿马蒂亚·森.以自由看待发展[M].于真,译.北京:中国人民大学出版社,2013.
[5]陈宗胜,于涛.中国城市贫困[J].经济社会体制比较,2017(6).
[6]高帅,毕洁颖.农村人口动态多维贫困:状态持续与转变[J].中国人口·资源与环境,2016(2):76-83.
[7]郭熙保,周强.长期多维贫困、不平等与致贫因素[J].经济研究,2016(6):143-156.
[8]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.
[9]李飞,唐丽霞,于乐荣.走出多维贫困研究的“内卷化”与“学徒陷阱”---文献述评的视角[J].中国农业大学学报(社会科学版),2013(3):147-153.
[10]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.
[11]田宇,许建,麻学峰.武陵山片区多维贫困度量及其空间表征[J].经济地理,2017(1):162-169.
[12]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.
[13]王小林,Sabina.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.
[14]吴清华.当代中外贫困理论比较研究[J].人口研究,2004(1):74-79.
[15]魏后凯,王宁.参与式反贫困:中国城市贫困治理的方向[J].江淮论坛,2013(5):9-17.
[16]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.
[17]张全红,周强.中国贫困测度的多维方法和实证应用[J].中国软科学,2015(7):29-41.
[18]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(6):49-59.
(1)OPHI global MPI,http://www.ophi.org.uk/multidimen sional-poverty-index/mpi-faqs/#5。
[2]Bourguignon F,Chakravarty S R.The measurement of multidimensional poverty[J].Journal of Economic Inequality,2003(1):25-49.
[3]Lugo MA,Maasoumi E.Multidimensional poverty measures from an information theory perspective[R].OPHIworking paper,2009.
[4]阿马蒂亚·森.以自由看待发展[M].于真,译.北京:中国人民大学出版社,2013.
[5]陈宗胜,于涛.中国城市贫困[J].经济社会体制比较,2017(6).
[6]高帅,毕洁颖.农村人口动态多维贫困:状态持续与转变[J].中国人口·资源与环境,2016(2):76-83.
[7]郭熙保,周强.长期多维贫困、不平等与致贫因素[J].经济研究,2016(6):143-156.
[8]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.
[9]李飞,唐丽霞,于乐荣.走出多维贫困研究的“内卷化”与“学徒陷阱”---文献述评的视角[J].中国农业大学学报(社会科学版),2013(3):147-153.
[10]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.
[11]田宇,许建,麻学峰.武陵山片区多维贫困度量及其空间表征[J].经济地理,2017(1):162-169.
[12]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.
[13]王小林,Sabina.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.
[14]吴清华.当代中外贫困理论比较研究[J].人口研究,2004(1):74-79.
[15]魏后凯,王宁.参与式反贫困:中国城市贫困治理的方向[J].江淮论坛,2013(5):9-17.
[16]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.
[17]张全红,周强.中国贫困测度的多维方法和实证应用[J].中国软科学,2015(7):29-41.
[18]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(6):49-59.
(1)OPHI global MPI,http://www.ophi.org.uk/multidimen sional-poverty-index/mpi-faqs/#5。