Analysis of Spatial and Temporal Evolution Characteristics and Influencing Factors of the Water Footprint in Xinjiang from 2000 to 2020

被引:2
|
作者
Wang, Shijie [1 ]
Lai, Xiaoying [1 ]
Gu, Xinchen [2 ,3 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Sch Civil Engn, State Key Lab Hydraul Engn Simulat & Safety, Tianjin 300072, Peoples R China
[3] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100044, Peoples R China
来源
SYSTEMS | 2023年 / 11卷 / 07期
基金
中国国家自然科学基金;
关键词
water allocation; LMDI; stochastic convergence; unit root test; structural breakpoints; OIL-PRICE SHOCK; GREAT CRASH; RESOURCES;
D O I
10.3390/systems11070349
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Xinjiang is home to one of the most serious resource-based water shortages, and at the same time, it is an important main production area of grain, cotton, and high-quality fruits and vegetables in China, placing a heavy burden on water resources. Based on this, this paper determines the basic condition of water resources in regions of Xinjiang using the water footprint method. It then identifies the drivers of water footprint changes using the population scale effect, policy support effect, investment-output effect, economic structure effect, water use efficiency effect, and water use structure effect via the LMDI decomposition model. Finally, this paper illustrates the trajectory of the regional water footprint through individual stochastic convergence. This study found the following: (1) The water footprint of Xinjiang showed a fluctuating upward trend, and the total water footprint varied significantly between regions. From a compositional standpoint, most regions were dominated by the agricultural water footprint, while spatially, the regional water footprint had a high distribution trend in the south and a low distribution in the north. (2) The driving effects of the water footprint, policy support, population scale, and water use structure were incremental, while the effects of water use efficiency, economic structure, and investment output were decremental. (3) Most regions in Xinjiang showed individual stochastic convergence trends, indicating that regions converged to their respective compensating difference equilibrium levels. In this regard, it is necessary to strengthen R & D and the promotion of water use technology, further optimize the industrial structure, and leverage the positive effect of government investment to alleviate the regional water constraint dilemma and promote high-quality regional economic development.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Spatial and Temporal Characteristics of Extreme Dry and Wet Events in Xinjiang from 1960 to 2020 and the Analysis of Influencing Factors
    Geng, Mengdie
    Liu, Puxing
    Qiao, Xuemei
    Wang, Miao
    Wang, Xingdan
    ATMOSPHERE, 2022, 13 (07)
  • [2] China's Water Footprint on Urban and Rural Food Consumption: A Spatial-Temporal Evolution and Its Driving Factors Analysis from 2000 to 2020
    Song, Zixuan
    Zhang, Tingting
    Yu, Wenmeng
    Shen, Dajun
    Wang, Weijia
    WATER, 2024, 16 (02)
  • [3] Spatial and temporal evolution characteristics of groundwater mining in China from 2000 to 2020
    Xu L.
    Shu L.
    Li W.
    Min X.
    Lu C.
    Liu B.
    Water Resources Protection, 2023, 39 (04) : 79 - 93
  • [4] Temporal and Spatial Changes of Rural Settlements and Their Influencing Factors in Northeast China from 2000 to 2020
    Wang, Jieyong
    Wang, Xiaoyang
    Du, Guoming
    Zhang, Haonan
    LAND, 2022, 11 (10)
  • [5] Analysis of the spatial distribution and variation characteristics of cotton planting in southern Xinjiang from 2000 to 2020
    Liu C.
    Jin X.
    Xu W.
    Qiao G.
    Yang X.
    Zhou Y.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2021, 37 (16): : 223 - 232
  • [6] Spatial and Temporal Differentiation of the Tourism Water Footprint in Mainland China and Its Influencing Factors
    Xiao, Zhenquan
    Muhtar, Polat
    Huo, Wenxiu
    An, Chaogao
    Yang, Ling
    Zhang, Fengrong
    SUSTAINABILITY, 2021, 13 (18)
  • [7] Spatial and temporal characteristics and influencing factors of water age in Poyang Lake
    Huang A.
    Liu X.
    Peng W.
    Dong F.
    Han Z.
    Wang W.
    Shuili Xuebao/Journal of Hydraulic Engineering, 2021, 52 (09): : 1082 - 1090
  • [8] Characteristics of Spatial-Temporal Evolution of Sustainable Intensification of Cultivated Land Use and Analysis of Influencing Factors in China, 2001-2020
    Liu, Guiying
    Yang, Mengqi
    SUSTAINABILITY, 2024, 16 (23)
  • [9] Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang
    Yang Jin-Ming
    Ma Li-Gang
    Li Cheng-Zhi
    Liu Yang
    Ding Jian-Li
    Yang Sheng-Tian
    GEOMATICS NATURAL HAZARDS & RISK, 2019, 10 (01) : 519 - 543
  • [10] Spatiotemporal changes and influencing factors of the intensity of agricultural water footprint in Xinjiang, China
    Wang, Yanyun
    Long, Aihua
    Deng, Xiaoya
    Abulizi, Abuduaini
    Wang, Jie
    Zhang, Pei
    Hai, Yang
    Ren, Cai
    Zhang, Ji
    Liu, Yundong
    Zhao, Weiming
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2023, 16 (03) : 262 - 272