PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (1): 69-77.doi: 10.18306/dlkxjz.2020.01.007

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Poverty pattern and influencing factors in typical deep poverty-stricken counties:A case study of Hailun City in Heilongjiang Province

DU Guoming1, FENG Yue2,*(), YU Jiaxing1   

  1. 1. School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
    2. Tsingyan Research, Beijing 100101, China
  • Received:2019-05-21 Revised:2019-07-29 Online:2020-01-28 Published:2020-03-28
  • Contact: FENG Yue
  • Supported by:
    Scientific Research Foundation for the Postdoctoral Researchers Settled in Heilongjiang Province(2017018);"Academic Backbone" Project of Northeast Agricultural University(16XG07)


Deep poverty-stricken counties are the key areas for targeted poverty alleviation, and objective analysis of the poverty pattern and influencing factors in these areas can provide a scientific basis for developing the tactics of poverty relief. This study applied spatial analysis and mathematical statistics methods to explore the poverty pattern and influencing factors of Hailun City, Heilongjiang Province, by taking poverty villages and poverty population as the focus. The results show that: 1) As a deep poverty-stricken county, Hailun's poverty villages and poverty population are unbalanced, and their spatial patterns are related and different. 2) The poverty villages of Hailun City centralize in the terrain transition zone of 150-250 m, presenting a multi-core zonal distribution pattern. 3) The distribution pattern of poverty population in Hailun results from the joint effects of natural and human factors. Physical geographic conditions, agricultural production, rural infrastructure, and social welfare are key factors. In order to strengthen targeted poverty alleviation and rural revitalization, it is important to strengthen agricultural infrastructure and improve the ability of resisting natural hazards and disasters; accelerate planting structure adjustment and layout optimization and improve rural industrial development level; improve social insurance level and reduce the risks of causing and returning to poverty; optimize settlement system and promote space reorganization, restructuring, and functional readjustment of various key rural factors.

Key words: deep poverty-stricken county, poverty village, poverty pattern, Hailun City