| Abstract | By using a variety of econometric regression models to analyze the 2005～2012 spatial panel data of 505 poverty regions at the county level in China, this paper analyzes the impact on spatial poverty taps on the Hu Huanyong Line from the perspective of first geographic externalities (FGE) and second geographic externalities (SGE), gets following results: firstly, land capital, physical capital, social capital, local government behavior and technical progress can significantly promote the economic growth of poor areas by means of direct effect. Secondly, land capital, physical capital, social capital and technical progress in neighbor areas have positive FGE, while its human capital and local government spending both have significant and negative FGE. Thirdly, land capital, physical capital, social capital, technical progress and government spending in local area all will promote neighbor areas’ economic growth significantly through positive SGE, and in the GNS model, both the positive SGE from land capital, technical progress and government spending and the negative SGE from human capital are in the elastic region. These findings have a significant enlightenment on escaping spatial poverty taps on the Hu Huanyong line. |