FDI与城乡收入差距

FDI and Rural-urban Income Gap

文章在理论分析FDI如何影响城乡收入差距的基础上,基于2002~2011年中国省域截面平均值数据,利用GWR模型,对中国省域城乡收入差距与FDI进行局域变参数实证估计。全域和局域空间自相关分析显示,中国省域城乡收入差距存在显著的空间自相关性,具有明显的局域集群趋势;不考虑和考虑空间自相关性的全域常参数估计结果显示,FDI的回归系数分别为-0.6074和-0.6518;考虑空间异质性的GWR模型局域变参数估计结果显示,FDI回归系数在-0.6915^-0.6750之间,FDI对各个省域城乡收入差距的影响存在差异。GWR模型能在纳入空间异质性的前提下有效地分析FDI对城乡收入差距的影响,以便提出缩小区域城乡收入差距的异质性政策建议。

Based on the theoretical analysis of how FDI affects urban-rural income gap and the sectional average data of Chinese provinces from 2002 to 2011, and using a geographically weighted regression （GWR） model which includes spatial heterogeneity, this paper positively estimates and studies local varying elasticity coefficients of FDI on urban-rural income gap. The results, based on a spatial autocorrelation analysis of global Moran＇s I and local indicators of spatial association （LISA） analysis, show that there is a significantly global spatial dependency and an obvious local clustering trend for urban-rural income gap; the results estimated with and without the consideration of spatial autocorrelation show that the elasticity coefficient of FDI is -0.6939 and -0.6518; the locally varying parameter estimation results which consider spatial heterogeneity in the GWR models show that the elasticity coefficient of FDI is between -0.6915 and -0.6750, which means that FDI has different effects on different provinces＇ urban-rural income gap. The GWR model can effectively estimate the effect of FDI on urban-rural income gap under the premise of spatial heterogeneity, which brings differential policy implications for decreasing the regional urban-rural income gap.