Spatial Effect On The Impact Of Industry Intelligence On Carbon Emission

China’s goal for carbon neutrality and emission reduction is to achieve carbon neutrality by 2060,while peaking carbon dioxide emissions by 2030 and gradually reducing thereafter.Specifically,China will adopt a series of measures,including accelerating the development of clean energy and low-carbon industries,improving energy utilization efficiency,optimizing energy structure,promoting green transportation,and more to achieve these goals.Concurrently,China will enhance the construction of carbon markets,advance international cooperation,and promote collective efforts to combat climate change globally.Amidst these goals,the importance of high-quality development is emphasized.This means that during the process of achieving emission reduction targets,it is crucial to maintain steady economic growth,promote industrial upgrading and transformation,and improve resource utilization efficiency and environmental protection standards.To this end,China will expedite the progress of innovation-driven development,encourage digitalization,intelligentization,and greening,and strengthen environmental management and ecological construction to achieve a win-win situation of economic sustainable development and environmental protection.To explore the impact mechanism of industrial intelligence on carbon emissions,this paper theoretically analyzes the impact of industrial intelligence on carbon emissions and proposes theoretical hypotheses.Empirically,using panel data from 30 provinces in China from 2009 to 2020 as samples,we study the nonlinear impact of industrial intelligence on carbon emissions using a nonlinear mediation effect model and panel threshold model.Unlike most existing studies,this paper directly establishes the connection between industrial intelligence and carbon emissions,and also considers economic factors,making the results more comprehensive and detailed.Furthermore,GMM regression analysis is conducted,and after controlling for other variables,we conclude that industrial intelligence has a significant inhibitory effect on carbon emissions.We further explore two pathways through which industrial intelligence affects carbon emissions-the energy consumption structure effect and the employment population effect.The results show that as the urban employment population increases,the impact of industrial production intelligence on CO2 emission reduction shows a trend of growing from weak to strong during the process of industrial development.The impact of industrial intelligence on carbon emissions presents an inverted "U" shape,first inhibiting and then promoting.The study shows that the relationship between industrial intelligence and carbon emissions presents an inverted U-shape,that is,when the level of industrial intelligence develops to a certain range,its carbon emission reduction effect gradually becomes prominent.Moreover,the effect of carbon reduction achieved by industrial intelligence by optimizing the energy consumption structure is more significant.In different regions,the impact of industrial intelligence on carbon emissions also varies.In the eastern and western regions,industrial intelligence and carbon emissions show a significant inverted U-shape relationship,which may be related to the differences in economic development levels and industrial structures in these regions.However,in the central region,industrial intelligence continues to promote carbon emissions.These disparities reflect the different challenges and opportunities faced by various regions in promoting industrial intelligence and low-carbon development,requiring localized measures to promote industrial transformation and the realization of carbon emission reduction goals.The effect of industrial intelligence on carbon emissions was positive after 2013,and negative before 2013.