Spatial Distribution Patterns and Influencing Factors of Poverty - A Case Study on Key Country From National Contiguous Special Poverty-stricken Areas in China

Poverty is one of the worldwide and key issues concerned by governments and international organizations. Chinese rural poverty was massive poverty caused by universal factors such as underdeveloped national economy and lack of related institution and policy in the past, instead, now has shown “point-scatted” distribution due to special regional environment, backward production conditions and low population quality with the long-term efforts. In addition to the impact of economic and social factors, natural condition is also one of the main factors restricting the incidence of poverty in rural areas. In this paper, spatial statistical analysis and GIS are combined to analyze the patterns and factors of spatial poverty distribution of Xianfeng County, a key country from national contiguous special poverty-stricken areas in China. Two indexes representing extend and depth of poverty, poverty headcount ratio and the per capita net income of poverty population, were used to analyze spatial poverty distribution based on the spatial autocorrelation method.