| 摘 要： |
Improving industrial eco-efficiency (IEE) is significant for green development, particularly in the areas characterized by intense industrial agglomerations, such as the Yangtze River Economic Belt (YREB). This study analyzes IEE in the middle and lower reaches of the YREB (YREBML) from 2011 to 2020 using the Super SBM-ML model. Based on industrial and commercial enterprise database, this study clarifies the effects of industrial transformation and agglomeration on IEE based on spatial Durbin model. From 2011 to 2020, the IEE in the YREBML exhibited an increased trend, with an average annual increasing rate of 1.48%. The high IEE areas predominantly clustered in eastern coastal cities, while lower IEE regions were mostly located in the central and western areas. Malmquist-Luenberger index decomposition analysis suggests that advanced production technology, improved efficient resource allocation, and optimized industrial structure enhance IEE. The spatial econometric analysis revealed industrial structure rationalization (ISR) and textile industry factory scatter index (FSI) had significant positive effect on IEE, while FSI of chemical raw materials and product manufacturing industry had significant negative effect on IEE. These findings highlight the importance of promoting textile industrial clusters and controlling the quantity and distribution density of chemical industries to improve overall IEE in the YREBML. |
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