On the Impact of Artificial Intelligence on Carbon Emissions
The application of artificial intelligence(AI)to reduce carbon emissions is one of the important ways to achieve carbon peaking and carbon neutrality goals.However,the application of AI can accelerate resource consumption and increase carbon emissions,which means that the relationship between AI and carbon emissions is complex,and it is of great significance to study it.Therefore,this paper constructs a mathematical model to describe the impact of AI on carbon emissions,and uses a partial linear spatial lag model to verify the nonlinear impact.At the same time,the mediation model is used to test the path of AI to help reduce emissions.The mathematical model shows that when AI develops to a high intelli-gence stage,it will reduce carbon emission.When AI is in the period of lower intelligence stage,the impact of it on carbon emissions is uncertain.The empirical results show that:(1)There is a positive spatial correlation between provincial carbon emissions.(2)Partial linear model regression results show that AI has a nonlinear effect on carbon emissions,and with the development of AI,the effects undergo three stages of promoting,inhibiting and promoting.Robust test results still support this conclusion.(3)The regional heterogeneity analysis found that the third stage promotion impact was mainly reflected in the eastern regions,and the stage heterogeneity analysis found that the impact of AI on carbon emissions in different periods was also nonlinear.(4)The mediation model shows that AI reduces carbon emissions through green technology innovation,and the emission reduction effect of energy-saving emission reduction technology is better than that of clean energy technology.
artificial intelligencecarbon emissionsHamilton functionpartial linear spatial lag modelmediation effect
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