文献类型：期刊文献

英文题名：Eco-efficiency assessment of regional industrial systems in China considering scale heterogeneity

作者：He, Kai[1];Jie, Liu[2]

机构：[1]Guangdong Ocean Univ, Sch Management, Zhanjiang 524088, Peoples R China;[2]Guangdong Ocean Univ, Sch Econ, Zhanjiang 524088, Peoples R China

年份：2025

卷号：9

外文期刊名：SUSTAINABLE FUTURES

收录：ESCI(收录号：WOS:001460282800001)、Scopus(收录号：2-s2.0-105001294616)、WOS

基金：This research was supported by program for scientific research start-upfunds of Guangdong Ocean University, Grant number: 060,302,092,308.

语种：英文

外文关键词：Eco-efficiency; Undesirable output; Meta-frontier SBM-NDEA; Scale heterogeneity; Influencing factors

外文摘要：This paper introduces a novel Meta-frontier slacks-based measure network data envelopment analysis (Metafrontier SBM-NDEA) model to evaluate the eco-efficiency of China's provincial industrial systems, addressing scale heterogeneity and undesirable outputs. Scale heterogeneity refers to differences in the scale or size of decision-making units (DMUs), which can impact their production technologies and performance evaluation. The model incorporates slack variables and a multi-stage network structure, providing a robust framework for performance evaluation. Analyzing panel data from 2011 to 2020, we find an overall eco-efficiency score of 0.4034, indicating significant room for improvement. Eastern provinces excel in eco-efficiency, while Western provinces face challenges primarily due to low economic efficiency. The Central region suffers from resource and environmental inefficiencies. Notable technological gaps exist across regions, and our findings reveal that regional economic development enhances eco-efficiency, whereas R&D focus and profitability can hinder it. Importantly, this study's innovation lies in enabling comparisons of efficiency among heterogeneous DMUs while integrating ecological considerations. These insights provide practical guidance for policymakers and business leaders seeking to foster sustainable industrial development in China.