Abstract
Amid rapid industrialization and the transition toward an eco-friendly economy, mitigating environmental pressures and elucidating the relationship between industrial agglomeration and eco-efficiency are essential to balancing industrial development with environmental constraints and promoting the sustainable development of the textile industry. This study established a province-level environmental pressure inventory and employed a comprehensive analytical framework, which integrates the super-SBM model with undesirable outputs, the Malmquist-Luenberger (ML) index, the Dagum Gini coefficient, spatial analysis, and threshold regression. This framework was conducted to evaluate the total factor eco-efficiency (TFEE) of China’s textile industry from 2000 to 2020, investigate its evolutionary characteristics, regional disparities, and spatial patterns, and identify the nonlinear relationship between industrial development and TFEE. The results indicated that total emissions of greenhouse gas (GHG), COD, TN, NH3-N, and TN in 2020 were 232.75 Mt CO2 eq., 14.21 Gg, 2.75 Gg, 0.50 Gg, and 0.07 Gg, respectively. The TFEE showed a fluctuating upward trend and increased from 0.1678 in 2000 to 0.3768 in 2020, with western region exhibiting the best performance. The persistently high Gini coefficient indicates widening regional disparities in TFEE. Furthermore, when the level of industrial agglomeration exceeds 0.6205, it negatively affects TFEE. Finally, regional heterogeneity countermeasures for different development patterns were proposed based on agglomeration and TFEE level, thereby providing a theoretical basis and reference for the sustainable textile industry development management in China.
Presenters
Fang LiProfessor, College of Environmental Science and Engineering, Donghua University, Shanghai, China
Details
Presentation Type
Theme
KEYWORDS
Total factor eco-efficiency; Industry agglomeration; Threshold regression model; Textile industry
