期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 833, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2022.155075
关键词
Eco-efficiency; SBM-DEA model; Tobit model; Textile industry
资金
- National Key R&D Program of China [2020YFE0201400]
- National Natural Science Foundation of China [52022023]
- Fund of Taishan Scholar Project [TS201712006]
This study evaluates the eco-efficiency of China's textile industry at both the firm level and the sub-sector level. The results show an upward trend in eco-efficiency for the industry as a whole, but significant disparities are observed among different sub-sectors. Factors such as economic scale, export delivery value, foreign direct investment, and environmental regulation are found to influence the eco-efficiency of the industry.
Industrial eco-efficiency has been an invaluable measurement for the relationship between production activities and environmental depletion, which is important to investigate when aiming for sustainable development. For the textile industry, however, limited rigorous studies have comprehensively evaluated the eco-efficiency from a firm-level perspective, and research on multi-level comparisons of the sub-sectors has also been lacking. Given the differences in environmental impacts due to the selection of various raw materials and unstandardized production processes in the textile industry, we focused on three sub-sectors, i.e., the cotton, chemical fibers textile sector (CCTS), the non cotton textile sector (NCTS), and the printing and dyeing sector (PDS). By applying the slacks-based measure (SBM) model based on the principle of the data envelopment analysis (DEA), i.e., the SBM-DEA model, the eco-efficiency of China's textile industry was measured at the firm level from 2001 to 2011 using a large sample dataset. We then further analyzed the factors affecting eco-efficiency using the Tobit regression model. An empirical analysis showed an upward trend of eco-efficiency over time in the eastern, central, and western regions of China with great disparities for the three sub-sectors. Analyses of the typical provinces in the eastern region all showed increasing trends in ecoefficiency, with Shandong Province consistently performing the best. We also found that large-scale firms had the highest annual average eco-efficiency than that of small-and medium-scale firms. For the influencing factors on the eco-efficiency, our results indicated that the economic scale and export delivery value both had a significant positivecorrelation with the eco-efficiency, while foreign direct investment and environmental regulation were both significantly negative for the eco-efficiency in all three sub-sectors. These findings provide valuable insights into helping the textile industry address high-quality green development and sustainability.
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