An Analysis of the Industrial Water Use Evolution in China

被引:0
作者
Zhang, Xu [1 ,2 ]
Zhang, Jian-Yun [3 ]
Ao, Tian-Qi [4 ]
Wang, Xiao-Jun [3 ]
Wang, Bing-Xuan [5 ]
机构
[1] Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing
[2] College of Environment, Hohai University, Nanjing
[3] State Key Laboratory of Hydrology and Water Resources and Hydraulic Engineering Science, Nanjing Hydraulic Research Institute, Nanjing
[4] College of Water Resource & Hydropower, Sichuan University, Chengdu
[5] College of Hydrology and Water Resources, Hohai University, Nanjing
来源
Huanjing Kexue/Environmental Science | 2024年 / 45卷 / 08期
关键词
different sectors; industrial water use; input-output model; structural decomposition analysis(SDA); water reuse rate;
D O I
10.13227/j.hjkx.202307159
中图分类号
学科分类号
摘要
To deepen the recognition of changes in industrial water use with socio-economic development,a“double-layer nested”structural decomposition analysis has been proposed to decompose the influence of the drivers of industrial water use change by sectors in China from 2002 to 2020. The results showed that the scale expansion factors represented by consumption,investment,and export were the main factors for the growth of industrial water use in different sectors,among which the expansion effect of per capita consumption grew faster. Additionally,there were obvious differences in the major drivers of industrial scale expansion between different sectors,which directly drove the industrial structure change. The production process water use effect and water reuse effect were the main factors to curb the growth of industrial water use. The accumulation of both had completely offset the positive effect of industrial scale expansion during the period,reducing industrial water consumption by 11.2 billion m3. However,the production process water use changes in metal extraction,smelting,and processing and energy processing sectors such as electric power had a smaller negative effect,leading to the potential for improving industrial water efficiency solely through a relatively small improvement in water resource reuse. Therefore,it is necessary to strengthen industrial water conservation management based on the differences in the impact of various sectors to promote the transformation and upgradation of industrial production and consumption structures,and to avoid another increase in industrial water use in China. © 2024 Science Press. All rights reserved.
引用
收藏
页码:4520 / 4528
页数:8
相关论文
共 42 条
  • [1] Liu C M,, Zhao Y Q., Possibility of the zero growth of water requirement in China [J], Bulletin of Chinese Academy of Sciences, 27, 4, pp. 439-446, (2012)
  • [2] Wu D., An analysis of evolution trend and decoupling evaluation mechanism of economic development and water resource utilization in China based on comparative analysis of China and America[J], Journal of Hohai University (Philosophy and Social Sciences, 18, 1, pp. 47-53, (2016)
  • [3] Zhao Y, Li H H, Liu H Q,, Et al., The law of growth:prediction of peak water consumption in China [J], Journal of Hydraulic Engineering, 52, 2, pp. 129-141, (2021)
  • [4] Zhang C J,, Zhao Y,, Shi C F,, Et al., Can China achieve its water use peaking in 2030?A scenario analysis based on LMDI and Monte Carlo method[J], Journal of Cleaner Production, (2021)
  • [5] Hao Y,, Hu X L, Chen H Y., On the relationship between water use and economic growth in China:new evidence from simultaneous equation model analysis[J], Journal of Cleaner Production, 235, pp. 953-965, (2019)
  • [6] Katz D., Water use and economic growth: reconsidering the environmental Kuznets curve relationship[J], Journal of Cleaner Production, 88, pp. 205-213, (2015)
  • [7] Cheng L,, Hu X, Wang Z Z,, Et al., The N-shaped industrial water use environmental Kuznets curve and its formation mechanism:a case study from Shandong Province[J], Advances in Water Science, 30, 5, pp. 673-681, (2019)
  • [8] Li Y, Wang Z C, Wei Y G., Water lock-in within China's economic industry based on the input - output method and social network analysis [J], Environmental Science and Pollution Research, 29, 15, pp. 22391-22403, (2022)
  • [9] Dong H J,, Geng Y,, Sarkis J,, Et al., Regional water footprint evaluation in China:a case of Liaoning[J], Science of the Total Environment, 442, pp. 215-224, (2013)
  • [10] Jiang M D, Liu X Y, Xu J R,, Et al., Decoupling effect between economic growth and industrial water use and its driving factors in Beijing-Tianjin-Hebei region[J], Journal of Arid Land Resources and Environment, 33, 11, pp. 70-76, (2019)