鍦扮悊瀛︽姤 鈥衡�� 2017, Vol. 72 鈥衡�� Issue (1): 161-173.DOI: 10.11821/dlxb201701013

鈥� 鍦扮悊鎺㈡祴鍣ㄥ師鐞嗕笌搴旂敤 鈥� 涓婁竴绡�    

涓浗鍘垮煙鍐滄潙璐洶鍖栧垎寮傛満鍒剁殑鍦扮悊鎺㈡祴涓庝紭鍖栧喅绛�

鍒樺溅闅�1,2,3, 鏉庤繘娑�1,2   

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    2. 涓浗绉戝闄㈢簿鍑嗘壎璐瘎浼扮爺绌朵腑蹇�,鍖椾含100101
    3. 涓浗绉戝闄㈠湴鐞嗙瀛︿笌璧勬簮鐮旂┒鎵�,鍖椾含 100101
  • 鏀剁鏃ユ湡:2016-10-18 淇洖鏃ユ湡:2017-01-06 鍑虹増鏃ユ湡:2017-01-20 鍙戝竷鏃ユ湡:2017-01-20
  • 浣滆�呯畝浠�:

    浣滆�呯畝浠嬶細鍒樺溅闅�(1965-), 鐢�, 闄曡タ缁ュ痉浜�, 鐮旂┒鍛�, 鍗氬銆侀暱姹熷鑰呯壒鑱樻暀鎺�, 涓浗鍦扮悊瀛︿細浼氬憳(S110005331M), 涓昏浠庝簨鍦熷湴鍒╃敤銆佸煄涔″彂灞曚笌绮惧噯鎵惰传鐮旂┒銆侲-mail: liuys@igsnrr.ac.cn

  • 鍩洪噾璧勫姪:
    鍥藉绀句細绉戝鍩洪噾閲嶅ぇ椤圭洰(15ZDA021);鍥藉鑷劧绉戝鍩洪噾閲嶇偣椤圭洰(41130748)

Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China

Yansui LIU1,2,3, Jintao LI1,2   

  1. 1.Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    2. Center for Assessment and Research on Targeted Poverty Alleviation, CAS, Beijing 100101, China
    3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101
  • Received:2016-10-18 Revised:2017-01-06 Online:2017-01-20 Published:2017-01-20
  • Supported by:
    National Social Science Foundation of China, No.15ZDA021;National Natural Science Foundation of China, No.41130748

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鍏抽敭璇�: 鍐滄潙璐洶鍖�, 鍦板煙鍒嗗紓, 涓诲鍥犵礌, 鍦扮悊鎺㈡祴鍣�, 绮惧噯鎵惰传, 闃滃钩鍘�

Abstract:

Rural poverty has long aroused attention from countries around the world, and eliminating poverty and achieving realize common prosperity is an important mission to build the well-off society in an all-round way. Scientifically revealing the regional differentiation mechanism of rural poverty has become an important issue of implementation of national poverty alleviation strategy. This paper, taking Fuping County of Hebei Province as a typical case, diagnoses the dominant factors of differentiation of rural poverty and reveals the dynamic mechanism of rural poverty differentiation by using the Geodetector model and multiple linear regressions, and puts forward the poverty alleviation policies and models for different poverty regions. The result shows that the dominant factors affecting rural poverty differentiation include slope, elevation, per capita arable land resources, distance to the main roads and distance to the center of county, and their power determinant value to poverty incidence differentiation are 0.14, 0.15, 0.15, and 0.17. These factors affect the occurrence of poverty from different aspects and their dynamic mechanism is also different. Among various factors, the slope and per capita arable land resources affect the structure and mode of agricultural production, while distance to the main roads and distance to the center of county have influence on the relationship between the interior and exterior of the region. There are significant differences in the four types identified of regional rural poverty, namely, environment constrained region mainly affected by slope (seven towns), resource oriented region mainly affected by per capita arable land (seven towns), area dominated by traffic location affected by distance to the main roads (three towns), and economic development leading area mainly affected by distance to the center of county (four towns). Then, Fuping County is divided into single core, dual core and multi-core area according to the number of core elements of the township. The county has shown a multi differentiation of rural poverty with a horizontal center of dual core area, and both sides have a single core and multi-core, which are affected by different dominant factors. Finally, this paper suggests that policy of targeted poverty alleviation should take science and technology as the foundation and form innovation of targeted poverty alleviation according to the core dominant factors of the differentiation mechanism of rural poverty. The county's poverty alleviation and development under different driving mechanisms need orderly promotion of poverty alleviation and integration of urban and rural development strategy with adjusting measures to local conditions, respecting for science, and stressing practical results.

Key words: rural poverty, regional differentiation, leading factors, geographical detector, targeted poverty alleviation, Fuping County