Journal of Geographical Sciences ›› 2018, Vol. 28 ›› Issue (12): 1810-1824.doi: 10.1007/s11442-018-1580-z

• Research Articles • Previous Articles     Next Articles

Geographical patterns and anti-poverty targeting post-2020 in China

GUO Yuanzhi1,2,3(),ZHOU Yang1,2,CAO Zhi1,2,*()   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. Center for Assessment and Research on Targeted Poverty Alleviation, CAS, Beijing 100101, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2018-05-10 Online:2018-12-27 Published:2018-12-27
  • Contact: CAO Zhi E-mail:guoyz.16b@igsnrr.ac.cn;caoz.14b@igsnrr.ac.cn
  • Supported by:
    National Key Research and Development Program of China, No.2017YFC0504701; National Natural Science Foundation of China, No.41871183, No.41471143

Abstract:

Poverty has been a focus of Chinese government for a long time. It is therefore of great significance to investigate both the mechanisms and spatial patterns of regional impoverishment in order to adequately target Chinese anti-poverty goals. Based on the human-environment relationship and multidimensional poverty theory, this study initially develops a three-dimensional model encompassing human, society, and environmental factors to investigate the mechanisms of rural impoverishment as well as to construct an indicator system to evaluate the comprehensive poverty level (CPL) in rural areas. A back propagation neural network model was then applied to measure CPL, and standard deviation classification was used to identify counties that still require national policy-support (CRNPSs) subsequent to 2020. The results of this study suggest that CPL values conform to a decreasing trend from the southeast coast towards the inland northwest of China. Data also show that 716 CRNPSs will be present after 2020, mainly distributed in high-arid areas of the Tibetan Plateau, the transitional zones of the three-gradient terrain, as well as karst areas of southwest China. Furthermore, CRNPSs can be divided into four types, that is, key aiding counties restricted by multidimensional factors, aiding counties restricted by human development ability, aiding counties restricted by both natural resource endowment and socioeconomic development level, and aiding counties restricted by both human development ability and socioeconomic development level. We therefore propose that China should develop and adopt scientific and targeted strategies to relieve the relative poverty that still exist subsequent to 2020.

Key words: human-environment relationship, multidimensional poverty, comprehensive poverty level, geographical pattern, anti-poverty targeting, poverty geography, China