Acta Geographica Sinica ›› 2017, Vol. 72 ›› Issue (10): 1827-1844.doi: 10.11821/dlxb201710008

• Rural Development • Previous Articles     Next Articles

Contributing factors and classification of poor villages in China

Yefeng CHEN1,2,3(), Yanhui WANG1,2,3(), Wenji ZHAO1,2,3, Zhuowei HU1,2,3, Fuzhou DUAN1,2,3   

  1. 1. Beijing key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China
    2. Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
    3. State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University , Beijing 100048, China
  • Received:2016-09-26 Revised:2017-03-17 Online:2017-11-10 Published:2017-11-06
  • Supported by:
    National Natural Science Foundation of China, No.41771157;Key Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period, No.2012BAH33B03, Interdisciplinary Research Project of Capital Normal University, and Youth Innovative Research Team of Capital Normal University


It is a China's strategic demand to systematically and accurately measure the poverty characteristics of poverty-stricken areas from the perspective of village-level poverty. In this context, this paper constructs a multidimensional poverty evaluation model from the perspective of spatial poverty, and combines the decomposition of indicator contribution degree and linear regression method to explore poverty contributing factors. Then it adopts LSE (Least Square Error) model and geostatistics analysis model to classify the villages' poverty types and spatial distribution difference, so as to grasp the whole poverty characteristics, poverty contributing factors and poverty types of poor villages all over the country and to provide auxiliary decision-making support services for eradicate poverty in 2020. Taking 51461 villages in China as a case, we can draw some conclusions as follows: (1) The distribution of poverty-stricken villages has an obvious regional characteristic from the perspectives of poverty level and poverty size, and most poor villages are concentrated in contiguous destitute areas, showing a pattern of high in the west and low in the east. In view of poverty level, there exists an obvious olive-shaped structure of big in the middle and small on two sides, and nearly half of the poverty-stricken villages are moderately poor. (2) China's poor villages have four main poverty contributing factor dimensions, i.e. , harsh transportation conditions, frequent natural disasters, low income and poor labor force qualities, of which, the significant poverty contributing factors are road access ratio, terrain type, suffered frequency of natural disaster, per capita net income, labor force ratio, ratio of illiterate labor forces, etc. (3) China's poor villages are driven by multiple poverty types, among which, those villages with three-factor dominated, four-factor collaborative and five-factor combined types have a relatively high proportion. (4) "Entire-village Advancement" poverty reduction strategy has achieved an initial performance, improved the village's sustainable development environment and raised the income of poor population. However, each village has its own poverty characteristics, therefore, anti-poverty measures should be adjusted according to its respective local conditions.

Key words: pverty-stricken village, multidimensional poverty measurement, poverty type, poverty contributing factors, targeted measures in poverty alleviation, China