Economic Growth and Urban Haze- Dynamic spatial panel data analysis based on 241 prefecture- level cities in China

Economic Growth and Urban Haze- Dynamic spatial panel data analysis based on 241 prefecture- level cities in China

This paper uses the spatial autoregression model (SAR) to explore the effect of foreign direct investment（FDI on haze (PM2.5) air pollution in 241 cities in China employing data published by the Socio-Economic Data and Applications Center (SEDAC) of Columbia University"s Center for International Earth Science Information Network (CIESIN) Our analysis reveals an inverted U-shaped environmental kuznets curve (EKC) relationship between haze (PM2.5) pollution and China"s economic growth. The appearance of China"s haze (PM2.5) pollution has a time lag, and we also observed a "superposition effect" in the time dimension, as well as a spatial spillover effect. In short, the inflow of FDI has aggravated haze (PM2.5) in China, providing further evidence for the “pollution haven hypothesis (PHH)" hypothesis as it applies to China.

This paper uses the spatial autoregression model (SAR) to explore the effect of foreign direct investment（FDI on haze (PM2.5) air pollution in 241 cities in China employing data published by the Socio-Economic Data and Applications Center (SEDAC) of Columbia University"s Center for International Earth Science Information Network (CIESIN) Our analysis reveals an inverted U-shaped environmental kuznets curve (EKC) relationship between haze (PM2.5) pollution and China"s economic growth. The appearance of China"s haze (PM2.5) pollution has a time lag, and we also observed a "superposition effect" in the time dimension, as well as a spatial spillover effect. In short, the inflow of FDI has aggravated haze (PM2.5) in China, providing further evidence for the “pollution haven hypothesis (PHH)" hypothesis as it applies to China.