Can China achieve its water use peaking in 2030? A scenario analysis based on LMDI and Monte Carlo method

被引:51
|
作者
Zhang, Chenjun [1 ]
Zhao, Yi [1 ]
Shi, Changfeng [1 ]
Chiu, Yung-ho [2 ]
机构
[1] Hohai Univ, Business Sch, Changzhou 213022, Jiangsu, Peoples R China
[2] Soochow Univ, Dept Econ, 56 Kueiyang St,Sec 1, Taipei 100, Taiwan
基金
中国国家自然科学基金;
关键词
Production water use; Domestic water use; LMDI; Scenario analysis; INDEX DECOMPOSITION ANALYSIS; DECOUPLING INDICATOR; ECONOMIC-GROWTH; DRIVING FACTORS; DEMAND; ENERGY; CONSUMPTION; FOOTPRINT; MODEL;
D O I
10.1016/j.jclepro.2020.123214
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Faced with water shortage, China has set a control target of 7000 x 10(8) m(3) of water use in 2030. In the future, how to realize the 2030 water use peak target has become an urgent problem for China to solve. This study aims to predict total water use trend by 2030 under different scenarios and determine the magnitude and time of water use peak. This paper uses the LMDI (Logarithmic Mean Divisia Index) method to decompose the driving factors of the production water use and domestic water use in 2003-2017, and for the first time, combines the scenario analysis and Monte Carlo simulation to analysis the potential evolution trend of production and domestic water use. We found that: (1) Economic development is the primary factor in promoting the increase in total water use, domestic intensity and population scale play a role in promoting increase, production intensity is the primary factor in inhibiting the increase in total water use, industrial structure promotes the decrease of total water use; (2) There are significant differences in the decomposition effects among the three industries; (3) The evolution trend of production and domestic water use is different under the three scenarios. Compared with the baseline scenario, the primary and secondary industry water use decreased more, and the tertiary industry and domestic water use increased less, under the general water-saving scenario and the enhanced water-saving scenario; (4) During the period of 2003-2030, the total water use in all three scenarios experienced an inverted U-shaped. The peaks appeared in 2013, and the total water use (excluding ecological water consumption) was 6078.28 x 10(8) m(3). The current total water use has reached its peak and been in a stage of stable or even declining stage. Some policy implications are put forward related to our empirical results. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:15
相关论文
共 35 条
  • [1] Can China achieve its 2030 and 2060 CO2 commitments? Scenario analysis based on the integration of LEAP model with LMDI decomposition
    Huang, Yimin
    Wang, Yuan
    Peng, Jiaoting
    Li, Fan
    Zhu, Lin
    Zhao, Huihui
    Shi, Rui
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 888
  • [2] Can China achieve its carbon emission peaking? A scenario analysis based on STIRPAT and system dynamics model
    Liu, Dunnan
    Xiao, Bowen
    [J]. ECOLOGICAL INDICATORS, 2018, 93 : 647 - 657
  • [3] Can China achieve its 2030 carbon emissions commitment? Scenario analysis based on an improved general regression neural network
    Niu, Dongxiao
    Wang, Keke
    Wu, Jing
    Sun, Lijie
    Liang, Yi
    Xu, Xiaomin
    Yang, Xiaolong
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 243
  • [4] Can regional economy influence China's water use intensity?: based on refined LMDI method
    Zhang, Chenjun
    Zhang, Hengquan
    [J]. CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT, 2014, 12 (03) : 247 - 254
  • [5] Can regional economy influence China's water use intensity?:based on refined LMDI method
    Chenjun Zhang
    Hengquan Zhang
    [J]. Chinese Journal of Population,Resources and Environment, 2014, (03) : 247 - 254
  • [6] Can China achieve its 2020 carbon intensity target? A scenario analysis based on system dynamics approach
    Xiao, Bowen
    Niu, Dongxiao
    Guo, Xiaodan
    [J]. ECOLOGICAL INDICATORS, 2016, 71 : 99 - 112
  • [7] Will China's carbon intensity achieve its policy goals by 2030? Dynamic scenario analysis based on STIRPAT- PLS framework
    Xie, Pinjie
    Liao, Jie
    Pan, Xianyou
    Sun, Feihu
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 832
  • [8] Driving Force Analysis of the Agricultural Water Footprint in China Based on the LMDI Method
    Zhao, Chunfu
    Chen, Bin
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (21) : 12723 - 12731
  • [9] Driving force analysis of the consumption of water and energy in China based on LMDI method
    Li, Yajing
    Wang, Saige
    Chen, Bin
    [J]. INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 4318 - 4322
  • [10] The peak path of provincial carbon emissions in the Yellow River Basin of China based on scenario analysis and Monte Carlo simulation method
    Wang, C.
    Gong, W.
    Wang, Y.
    Fan, Z.
    Li, W.
    [J]. GLOBAL NEST JOURNAL, 2023, 25 (04): : 56 - 69