工业智能化、产业结构升级与中国碳排放强度

o explore the impact of industrial intelligence on carbon emissions, the article constructs a mediation effect mechanism model and a spatial effect model for the impact of industrial intelligence on carbon emission intensity. Based on the panel data set of 30 provinces in China from 2015 to 2020, the level of industrial intelligence and industrial carbon emission intensity of each province are measured. The research results show that industrial intelligence can significantly suppress the total amount of carbon emissions and reduce carbon emission intensity. The mediation effect analysis shows that industrial intelligence can better reduce carbon emission intensity by promoting the upgrading of industrial structure. The decomposition results of the spatial Durbin model and spillover effects show that industrial intelligence can not only reduce the local carbon emission intensity but also reduce the carbon emission intensity of neighboring provinces to a certain extent, which is conducive to achieving green and coordinated development among regions; the heterogeneity analysis results show that there is regional heterogeneity in the impact of industrial intelligence on carbon emission intensity. Whether in regions with high industrialization levels or low industrialization levels, the carbon emission reduction effect of industrial intelligence is significant. When the intensity of environmental regulation is low, the suppression effect of industrial intelligence on the total amount of carbon emissions and carbon emission intensity is more obvious.