Testing the Spatial Nonlinear Effects of Digital Economy on Carbon Emissions——Based on Semi-parametric Spatial Lag Model
Based on the panel data of 30 provinces(autonomous regions and municipalities directly under the Central Government)in China from 2013 to 2019,this paper empirically analyzes the nonlinear impact,spatial spillover effect and its mechanism of digital economy on carbon emissions by using panel data benchmark regression model,spatial Durbin model,semi-parametric spatial lag model and intermediary effect regression model.The results show that:(1)digital economy has an inverted"U"type spatial nonlinear effect on carbon emissions,which is"first promotion,then inhibition";(2)The digital economy has a significant positive spatial spillover effect on carbon emissions,and the spatial spillover effect of the digital economy service industry is larger than that of the digital economy manufacturing industry;(3)Green technology innovation and industrial structure optimization play a significant intermediary effect between digital economy and carbon emissions;(4)There is heterogeneity in the impact of digital economy on carbon emissions,and the effect of carbon increase in the central region is greater than that in the national and eastern regions(Central>National>Eastern).It is proposed to accelerate the coordinated development of digital economy manufacturing industry and digital economy service industry to improve carbon emission reduction effectiveness;Give full play to the intermediary effect of green technology innovation and industrial structure optimization between digital economy and carbon emissions,and realize green,low-carbon and intelligent transformation;Improve the carbon emission reduction strategies of the digital economy according to local conditions and time,and release the carbon emission reduction potential of the digital economy.
digital economycarbon emissionsspatial nonlinear effect
NETL
NSTL
万方数据
