Multidimensional Poverty Dynamics and Its Influencing Factors in Underdeveloped Agricultural Areas——A Study Based on the Data of Fixed Observation Points in Rural Henan
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Multidimensional Poverty Dynamics and Its Influencing Factors in Underdeveloped Agricultural Areas——A Study Based on the Data of Fixed Observation Points in Rural Henan
LUO Qing1,3, YANG Hui-min2,3, LI Xiao-jian1,3,4, GAO Geng-he1,3
1.School of Resources and Environment/Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan University of Economics and Law, Zhengzhou 450046, China; 2.School of Tourism and Exhibition, Henan University of Economics and Law, Zhengzhou 450046, China; 3.Academician Laboratory for Urban and Rural Spatial Data Mining, Zhengzhou, 450000, China; 4.College of Environment and Planning/Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475004, China
Abstract Over the past 10 years, China’s poverty measured by rural income has been greatly reduced. However, rural poverty is multidimensional and dynamic. Based on the A-F multidimensional poverty index and its decomposition indexes, this paper uses the data of rural fixed observation points in Henan Province between 2004 and 2014 and analyzes the changes in the level, intensity and composition of multidimensional poverty, and its influencing factors. The results show that from 2004 to 2014, the multidimensional poverty in rural areas of Henan Province has decreased significantly, but the extent to which it is reduced and reduction mode show significant differences in time and geographical environment. From 2004 to 2014, the incidence of multidimensional poverty is significantly higher than that of income poverty. With the gradual elimination of absolute income poverty, multidimensional poverty will be the future focus and difficulty of the poverty alleviation with precision strategy. With the exception of housing, the incidences of poverty in other multidimensional poverty indicators have decreased significantly from 2004 to 2014. Among them, the three indicators of education, fuel and sanitation contribute most to the overall multidimensional poverty. The multidimensional poverty is not only related to the characteristics of household heads, family social capital and per capita income, but also related to the geographical environment of families and the development of village economy.
LUO Qing,YANG Hui-min,LI Xiao-jian et al. Multidimensional Poverty Dynamics and Its Influencing Factors in Underdeveloped Agricultural Areas——A Study Based on the Data of Fixed Observation Points in Rural Henan. Economic Survey, 2019, 36(4): 024.
2019, Vol. 36 
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