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基于半参数空间模型的空气污染与经济增长关系再检验

• 出版日期:2018-08-25 发布日期:2018-08-16

Air Pollution and Economic Growth: Empirical Evidence From a Semi-parametric Spatial Model

Wu Xueping et al

• Online:2018-08-25 Published:2018-08-16

Abstract: Based on a Chinese province-level panel dataset from 2001 to 2014, this research employs the spatial Durbin model (SDM) and semi-parametric spatial model to verify the nonlinear relationship of economic development and air pollution with considering the spatial autocorrelation of air pollution. The results show that the air pollution in China has significant and positive spatial correlation and spatial spillover effect. The concentration regions with high air pollution level have transferred from western to eastern. Moreover, there is a wave relationship between air pollution and economic growth, which does not exactly coincide with the inverted U-shape (EKC) but conform to the long-standing relationship between environmental pollution and economic development described by EKC. It implies that air pollution can’t be solved automatically by economic growth. In addition, it finds that semi-parametric spatial model works better than the parameter model in goodness of fit, as it can elaborate the nonlinear relationship effectively. The findings testify the former scholar's conjecture.