Village-level multidimensional poverty measurement in China: Where and how  

中国贫困村致贫因素分析及贫困类型划分（英文）

作　　者：王艳慧 陈烨烽 迟瑶 赵文吉 胡卓玮 段福洲 

机构地区：[1]Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University [2]Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University [3]State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University

出　　处：《Journal of Geographical Sciences》2018年第10期1444-1466,共23页地理学报（英文版）

基　　金：National Natural Science Foundation of China,No.41771157;National Key Research and Development Program of China,No.2018YFB0505402;Scientific Research Project of Beijing Education Committee,No.KM201810028014;Capacity Building for Sci-Tech Innovation-Fundamental Scientific Research Funds,No.025185305000/192

摘　　要：Village is an important implementation unit of national poverty alleviation and development strategies of rural China, and identifying the poverty degree, poverty type and poverty contributing factors of each poverty-stricken village is the precondition and guarantee of taking targeted measures in poverty alleviation strategies of China. To respond it, we construct a village-level multidimensional poverty measuring model, and use indicator contribution degree indices and linear regression method to explore poverty factors, while adopting Least Square Error(LSE) model and spatial econometric analysis model to identify the villages' poverty types and poverty difference. The case study shows that:(1) Spatially, there is obvious territoriality in the distribution of poverty-stricken villages, and the poverty-stricken villages are concentrated in contiguous poverty-stricken areas. The areas with the highest VPI, in a descending order, are Gansu, Yunnan, Guizhou, Guangxi, Hunan, Qinghai, Sichuan, and Xinjiang.(2) The main factors contributing to the poverty of poverty-stricken villages in rural China include road construction, terrain type, frequency of natural disasters, per capita net income, labor force ratio, and cultural quality of labor force. The main causes of poverty include underdeveloped road construction conditions, frequent natural disasters, low level of income, and labor conditions.(3) Chinese poverty-stricken villages include six main subtypes, and most poverty-stricken villages are affected by multiple poverty-forming factors, reflected by a relatively high proportion of the three-factor dominant type, four-factor coordinative type, and five-factor combinative type.(4) There exist significant poverty differences in terms of geographical location and policy support, and the governments still need to carry out targeted poverty alleviation measures according to local conditions. The research can not only draw a macro overall poverty-reduction outline of impoverished villages in China, but also depict the Village is an important implementation unit of national poverty alleviation and development strategies of rural China, and identifying the poverty degree, poverty type and poverty contributing factors of each poverty-stricken village is the precondition and guarantee of taking targeted measures in poverty alleviation strategies of China. To respond it, we construct a village-level multidimensional poverty measuring model, and use indicator contribution degree indices and linear regression method to explore poverty factors, while adopting Least Square Error（LSE） model and spatial econometric analysis model to identify the villages＇ poverty types and poverty difference. The case study shows that：（1） Spatially, there is obvious territoriality in the distribution of poverty-stricken villages, and the poverty-stricken villages are concentrated in contiguous poverty-stricken areas. The areas with the highest VPI, in a descending order, are Gansu, Yunnan, Guizhou, Guangxi, Hunan, Qinghai, Sichuan, and Xinjiang.（2） The main factors contributing to the poverty of poverty-stricken villages in rural China include road construction, terrain type, frequency of natural disasters, per capita net income, labor force ratio, and cultural quality of labor force. The main causes of poverty include underdeveloped road construction conditions, frequent natural disasters, low level of income, and labor conditions.（3） Chinese poverty-stricken villages include six main subtypes, and most poverty-stricken villages are affected by multiple poverty-forming factors, reflected by a relatively high proportion of the three-factor dominant type, four-factor coordinative type, and five-factor combinative type.（4） There exist significant poverty differences in terms of geographical location and policy support, and the governments still need to carry out targeted poverty alleviation measures according to local conditions. The research can not only draw a macro overall poverty-reduction outline of impoverished villages in Chi

关 键 词：poor village multidimensional poverty measurement poverty type poverty factors spatial econometric analysis 

分 类 号：F323.8[经济管理—产业经济]