Business School, Hohai University, Changzhou, 213022, China.
Department of Economics, Soochow University, Taipei, 10048, Taiwan.
J Environ Manage. 2022 Aug 15;316:115313. doi: 10.1016/j.jenvman.2022.115313. Epub 2022 May 20.
Numerous studies have divided industrial water use system into stages of industrial water use (IWU) and wastewater treatment (IWT) subsystems, named as the IWUWT system, yet scant studies have examined its dynamic recycling efficiency with non-discretionary variables. This paper proposes a dynamic two-stage recycling model with non-discretionary variables to compare and analyze the basin differences of the efficiency, and further reveal the driving forces of this efficiency in the Yangtze River basin and Yellow River basin. The results are as follows. (1) The average overall efficiency of the IWUWT system for the 30 provinces during 2011-2018 was 0.79 due to the bad performance of the IWT subsystem with an efficiency score of 0.74, especially for Yunnan and Guangxi. (2) The influence of economic policy uncertainty on circulating industrial water use is more significant in the south basin. (3) Economic development and water use intensity were the main drivers of IWUWT efficiency in the Yangtze River basin, while economic development and environmental consciousness were for the Yellow River basin. The results have important implications for Chinese government and different provinces to improve IWUWT efficiency by policy-making.
许多研究将工业用水系统划分为工业用水（IWU）和废水处理（IWT）子系统阶段，称为 IWUWT 系统，但很少有研究用非可自由支配变量来考察其动态循环效率。本文提出了一个具有非可自由支配变量的动态两阶段回收模型，以比较和分析流域之间效率的差异，并进一步揭示长江流域和黄河流域效率的驱动因素。结果如下。（1）2011-2018 年，30 个省份的 IWUWT 系统的平均整体效率为 0.79，这是由于 IWT 子系统的性能不佳，效率评分为 0.74，尤其是云南和广西。（2）经济政策不确定性对南方流域循环工业用水的影响更为显著。（3）经济发展和用水强度是长江流域 IWUWT 效率的主要驱动因素，而经济发展和环境意识则是黄河流域的主要驱动因素。研究结果对中国政府和不同省份通过政策制定提高 IWUWT 效率具有重要意义。
