Abstract: This study uses a Multi-Regional Input-Output Model (MRIO) to calculate the transfer of high-energy-consuming industries and carbon emissions among 30 provinces in China for the years 2002, 2007, 2012, and 2017. It compares the inter-provincial and inter-industry transfer paths of industries and carbon emissions. Multi-Scale Geographically Weighted Regression Model (MGWR) is applied to examine the impact of environmental regulations, industrial structure, energy intensity, and urbanization on carbon transfers. The results show that the pathways of transfer for high-energy-consuming industries and carbon emissions are similar but not completely linked. The trend of industrial transfer shifting northward is gradually weakening, but carbon transfer continues to move in the same direction. There are significant differences when examining specific industries. The construction industry is the largest transferring industry, primarily transferring out from Shanghai. The province with the most carbon transfer from the construction industry is Zhejiang. The study on factors influencing carbon transfers indicates that environmental regulations and energy intensity have a positive impact on carbon transfers, while urbanization and industrial structure have a negative impact.

Key words: high-energy-consuming industrial transfer, carbon transfer, influencing factors, multiscale geographically weighted regression(MGWR)