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Spatial distribution patterns and influencing factors of poverty-a case study on key country from national contiguous special poverty-stricken areas in china

机译：贫困的空间分布模式与影响因素 - 以中国国家连续特殊贫困地区的关键国家为例

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摘要

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 G1S 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.
机译：贫困是各国政府和国际组织有关的全球和关键问题之一。中国农村贫困是由普遍因素引起的巨大贫困，如国民经济欠发达的，缺乏相关机构和政策，而是由于特殊的区域环境，落后的生产条件和人口低位，现在已经显示出“点散发”的分布随着长期的努力。除了经济和社会因素的影响之外，自然状况也是限制农村贫困发病率的主要因素之一。在本文中，相结合了空间统计分析和G1s分析了中国国家连续贫困地区的一个关键国家的西风县空间贫困分布的模式和因素。代表贫困延长和深度的两项指标，贫困人口比率和贫困人口人均净收入，用于分析基于空间自相关方法的空间贫困分布。

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