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《Scientia Geographica Sinica》 2013-12
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Multidimensional Poverty Measurement and Spatial Distribution Pattern at the Country Scale:A Case Study on Key Country from National Contiguous Special Poverty-stricken Areas

WANG Yan-hui;QIAN Le-yi;DUAN Fu-zhou;Beijing Key Laboratory of Resource Environment and Geographic Information System,Capital Normal University;Key Laboratory of 3-Dimensional Information Acquisition and Application,Ministry of Education,Capital Normal University;State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation,Capital Normal University;  
In special poverty-stricken rural areas, the primary problem of poverty alleviation is effective targeting and identifying of the poor and their distribution area. In recent years, researchers around the world focused on grasping the essence of multidimensional poverty and measurement. Based on systematic design of multidimensional poverty identifying indices system and algorithm flow, this article takes key country in Nanyang, Henan Province from national contiguous special poverty-stricken areas as the study area, constructs algorithm based on the"dual cutoff"and "dimension aggregated/decomposition" to measure and analyze the multidimensional poverty of the poor at "county-village" scale,uses Kriging method to interpolate results of multidimensional poverty measurements and systematically analyze spatial distribution pattern of multidimensional poverty at village scale in study area.The result shows: in the study area,the trend of multidimensional poverty headcount ratio and multidimensional poverty index(MPI) is that the value of west is higher than that of the east;the MPI of Neixiang country and Xichuan country is the highest,that of Zhenping country is the lowest.Their primary factors contributing to poverty are income and health,contribution of income index to the poverty appears as strip from "northwest-southeast",healthy problem mainly concentrates around Zhenping country. Their secondary factors contributing to poverty are education,schooling and fuel.Besides,the multidimensional poverty incidence is the highest in mountainous area in Xichuan country,MPI is relatively lower around the center of the country.
【Fund】: 国家自然科学基金(41371375);; 北京市自然科学基金(8132018);; 十二五国家科技支撑计划项目(2012BAH33B03、2012BAH33B05)资助
【CateGory Index】: F323.8
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