School of Public Policy and Administration, Northwestern Polytechnical University, Xi'an 710129, China.
School of Public Policy and Administration, Northwestern Polytechnical University, Xi'an 710129, China; School of Management, Northwestern Polytechnical University, Xi'an 710129, China; School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China.
Sci Total Environ. 2021 Aug 25;784:147023. doi: 10.1016/j.scitotenv.2021.147023. Epub 2021 Apr 20.
Although there has been increasing research on water saving in China's industrial sector, with the proposal of different methods and enriching perspectives, not much has been studied about the sector's water-saving potential (WSP), especially in terms of a quantitative analysis. In this paper, a quantitative WSP model is proposed based on (a) economic costs minimization, (b) diffusion of water-saving technologies, (c) progressive water price policies, and (d) data availability. To transform exogenous variables into endogenous ones, we assumed technology depreciation and designed a water trading mechanism in a policy-limited scenario. By analysing the data of 2015, the WSP of chemical and steel industries in Tianjin was estimated as 16.128 MCM and 1.914 MCM with technology penetration and strict progressive water prices, while the WSP in Zhejiang province was estimated as 17.541 MCM and 3.108 MCM with the same level of technology penetration. This study could be a reference point for further research on evaluation of WSP of other industrial sectors and guide governments in drafting water-saving policies.
尽管中国工业部门的节水研究不断增加,提出了不同的方法和丰富的视角,但对该部门的节水潜力(WSP),特别是定量分析方面的研究还不多。本文提出了一种基于(a)经济成本最小化、(b)节水技术扩散、(c)渐进水价政策和(d)数据可用性的定量 WSP 模型。为了将外生变量转化为内生变量,我们假设技术折旧,并在政策限制情景下设计了水交易机制。通过分析 2015 年的数据,估计天津化工和钢铁行业的 WSP 在技术渗透和严格的累进水价下分别为 16.128 亿立方米和 1.914 亿立方米,而在技术渗透相同水平的情况下,浙江的 WSP 分别为 17.541 亿立方米和 3.108 亿立方米。本研究可为进一步研究其他工业部门的 WSP 评价提供参考,并为政府制定节水政策提供指导。