基于SBM-Tobit模型的安徽省工业绿色转型效率评价及影响因素研究OA

This study constructs an analytical framework comprising"efficiency measurement-impact diagnosis-path optimization"based on panel data from 16 prefecture-level cities in Anhui Province from 2011 to 2023.First,it employs an undesirable output SBM model to measure the industrial green transformation efficiency of each city,conducting multi-level comparisons across spatial distribution and temporal evolution dimensions.Building upon this foundation,a Tobit model is further applied to empirically analyze its influencing factors.The findings reveal that while Anhui's overall industrial green transformation efficiency exhibits a fluctuating upward trend,regional disparities are evident due to unbalanced development among cities.Urbanization levels and foreign direct investment exert a significant positive effect on industrial green transformation efficiency,while technological investment and environmental protection investment exhibit certain inhibitory effects.Therefore,it is essential to adhere to the new development philosophy,formulate green transformation policies tailored to local conditions,strengthen regional coordination,accelerate the optimization and adjustment of industrial structures,and simultaneously enhance the precision and effectiveness of technological and environmental protection funding to improve green innovation capabilities.