中国工业绿色转型发展水平测度及时空差异特征分析OACHSSCD

This study,based on panel data from 30 provinces in China spanning 2004-2022,constructs an indicator system for indus-trial green transformation encompassing four dimensions:industrial structure adjustment,low-carbon energy transition,clean and effi-cient production,and green technological innovation.The entropy weight method is applied to measure the industrial green transforma-tion effect index(IGTEI),with its spatio-temporal evolution and regional characteristics systematically examined.The findings reveal that national IGTEI exhibits a steady upward trend,with the green technological innovation index(GTII)showing the most significant growth,followed by the low-carbon energy transition index(LCETI).The industrial structure adjustment index(ISAI)progresses steadily yet slowly,while the clean and efficient production index(CEPI)grows amid periodic fluctuations However,at the regional level,IGTEI displays a"high in the east,low in the west"spatial pattern with the Eastern provinces maintaining sustained growth and a leading position in IGTEI,while the other regions lagging with slower growth.Moreover,provincial industrial green transformation demonstrates significant positive spatial correlation,characterized by"high-high"and"low-low"clustering patterns,indicating clear spatial spillover effects and regional synergies.