Investigating the eco-efficiency of China's textile industry based on a firm-level analysis

被引:14
|
作者
Gai, Yuxin [1 ]
Qiao, Yuanbo [2 ]
Deng, Huijing [1 ]
Wang, Yutao [1 ,3 ,4 ,5 ]
机构
[1] Fudan Univ, Fudan Tyndall Ctr, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China
[2] Shandong Univ, Inst Studies Cty Dev, Qingdao 266200, Peoples R China
[3] Inst EcoChongming IEC, 3663 Northern Zhongshan Rd, Shanghai 20006, Peoples R China
[4] IRDR Int Ctr Excellence Risk Interconnect & Gover, Shanghai 200438, Peoples R China
[5] Fudan Univ, Shanghai Inst Energy & Carbon Neutral Strategy, Shanghai 200438, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Eco-efficiency; SBM-DEA model; Tobit model; Textile industry; DATA ENVELOPMENT ANALYSIS; ENVIRONMENTAL EFFICIENCY; ENERGY EFFICIENCY; EMISSIONS; AGGLOMERATION; ENTERPRISES; IMPACT; MICRO; PARKS; MODEL;
D O I
10.1016/j.scitotenv.2022.155075
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:12
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