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Chinese Journal of Applied Ecology ›› 2018, Vol. 29 ›› Issue (11): 3760-3772.doi: 10.13287/j.1001-9332.201811.013

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Multidimensional poverty measurement of poverty-stricken counties in China’s 14 conti-guous destitute areas considering ecological environment

QI Wen-ping1,2,3,4, WANG Yan-hui2,3,4*, ZHAO Wen-ji2,3,4, LIAGN Chen-xia2,3,4, CHENG Xu1   

  1. 1CETC Big Data Research Institute Co., Ltd., Guiyang 5500811, China;
    2Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China;
    3Ministry of Education Key Laboratory of 3-Dimensional Information Acquisition and Application, Capital Normal University, Beijing 100048, China;
    4State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China
  • Received:2018-04-23 Online:2018-11-20 Published:2018-11-20
  • Contact: *E-mail: huiwangyan@sohu.com
  • Supported by:

    This work was supported by the National Natural Science Foundation of China(41771157),the National Key Research and Development Program of China (2018YFB0505400),the Research Project of Beijing Municipal Education Committee(KM201810028014)and the Research Project of Science and Technology Innovation Platform Construction of Capital Normal University.

Abstract: As an important part of the national poverty alleviation strategy in China, monitoring of poverty-stricken counties is the precondition and guarantee for implementing national precise poverty reduction strategies. Taking 724 poverty-stricken counties in 14 contiguous destitute areas as the study area, we designed a county-level multidimensional poverty measurement index system that reflected the economic state (poverty appearance), social state (living guarantee ability) and ecological environment state (potential capacity of regional development) in fully consideration of the interdependent relationship between ecological vulnerability and economic poverty, and analyzed the poverty degree, poverty type, causes of poverty and the spatial distribution characteristics in multi-scale and multi-angle levels. The results showed that the distribution of poverty level of different counties represented a geometrically olive-shaped pattern that was larger in lower and moderate impoverished counties and smaller in low and high poverty-stricken counties. As far as the distribution of poverty-stricken counties was concerned, the distribution was spatially heterogeneous, presenting a typical stepped structure that was “west-high vs. east-low”, where different levels of dotted poverty kernels were scattered. The multidimensional characteristics of poverty-stricken counties represented a wholely strong spatial dependence; however, both High-High areas and Low-Low areas were distributed intensively while both High-Low areas and Low-High areas were distributed discretely. The characteristics of poverty distribution on both sides of the “Hu Line” were obviously different. The number of seven-factor comprehensive poverty-stricken counties was the most, while the location advantages, terrain conditions and poverty alleviation performance were the significant factors affecting the development of poverty reduction. Ecological poverty caused by deterioration of ecological environment and natural endowments is a regional characteristic in most poverty areas of China.