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[1]ZHAO Ying,LIU Xiao-peng,GUO Yong-jie.Model Analysis for Spatial Poverty in the Poor Areas of Liupan Mountain in Ningxia Hui Autonomous Region Based on GIS[J].Research of Soil and Water Conservation,2014,21(05):94-99.

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Model Analysis for Spatial Poverty in the Poor Areas of Liupan Mountain in Ningxia Hui Autonomous Region Based on GIS

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 21 Number of periods: 2014 05 Page number: 94-99 Column: Public date: 2014-10-28

Title:: Model Analysis for Spatial Poverty in the Poor Areas of Liupan Mountain in Ningxia Hui Autonomous Region Based on GIS

Author(s):: ZHAO Ying, LIU Xiao-peng, GUO Yong-jie; School of Resources and Environment, Ningxia University, Yinchuan 750021, China

Keywords:: spatial poverty; TOPSIS model; obstacle degree model; GIS; poor areas of Liupan Mountain in Ningxia Hui Autonomous Region

CLC:: F301.24

DOI:: -

Abstract:: Spatial poverty analysis aims to study the constitution of geographic capital of certain areas, analyze the spatial poverty trap, determine the differentiation mechanism of spatial poverty, identify the poverty reduction effect and develop relevant anti-poverty strategies. On basis of the data of 2011, TOPSIS combining with entropy method was used to study the spatial poverty of continuous poor areas of Liupan Mountain in Ningxia Hui Autonomous Region. Furthermore, obstacle degree model was used to study the relationship between poverty and geographical environment. The results were as follows: according to the values of close degree, the study area could be classified into three groups: the poorest area consisted of Xiji County (0.363 3) and Jingyuan County (0.361 9); the poorer area consisted of Haiyuan County (0.258 0), Yuanzhou District (0.245 7), Longde County (0.229 6) and Pengyang County (0.211 8); the poor area was made up of Tongxin County (0.191 7) only. Moreover, poor market connectivity (economic factor), lack of stability of agroecological system (environmental factor) and public service gap were the main cases of poverty in the study area.

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