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A Rural Water Poverty Analysis in China Using the DPSIR-PLS Model

Author

Listed:
  • Caizhi Sun

    (Liaoning Normal University)

  • Yongjie Wu

    (Liaoning Normal University)

  • Wei Zou

    (Liaoning Normal University)

  • Liangshi Zhao

    (Liaoning Normal University)

  • Wenxin Liu

    (Liaoning Normal University)

Abstract

Water poverty assessment is a complex problem involving multiple systems such as water resources, the economy, society, and the environment. Thus, it is necessary to employ a comprehensive model comprising a set of interdisciplinary indicators that encompass water-related aspects, as well as a conceptual framework to organize all indicators and variables. Firstly, we develop water poverty indicators for rural areas of China by introducing the Driving forces–Pressures–States–Impacts–Responses (DPSIR) model, based on causality. Then, the indicator system and structural equation model (SEM) are combined, and the partial least squares approach to structural equation modeling (PLS-SEM) tests the hypothesis based on the causal relationship of the DPSIR model. Secondly, the weight of each variable is obtained using the modified model and structural equation software, and water poverty scores are calculated for each area. Exploratory spatial analysis of the results suggests that the distribution of water poverty in China’s rural areas displays low–low and high–high clustering. Policy makers should take advantage of the water resource situation in eastern and central regions to help the northwest, southwest, and southeast regions alleviate problems of water poverty.

Suggested Citation

  • Caizhi Sun & Yongjie Wu & Wei Zou & Liangshi Zhao & Wenxin Liu, 2018. "A Rural Water Poverty Analysis in China Using the DPSIR-PLS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 1933-1951, April.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:6:d:10.1007_s11269-017-1819-y
    DOI: 10.1007/s11269-017-1819-y
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    Cited by:

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    2. Xiang Gao & Ke Wang & Kevin Lo & Ruiyang Wen & Xiaoting Mi & Kuanmei Liu & Xingxing Huang, 2021. "An Evaluation of Coupling Coordination between Rural Development and Water Environment in Northwestern China," Land, MDPI, vol. 10(4), pages 1-14, April.
    3. Yusuf Kristiadi & Riri Fitri Sari & Herdis Herdiansyah & Hayati Sari Hasibuan & Tiong Hoo Lim, 2022. "Developing DPSIR Framework for Managing Climate Change in Urban Areas: A Case Study in Jakarta, Indonesia," Sustainability, MDPI, vol. 14(23), pages 1-30, November.
    4. Jinlong Shen & Jiafen Li & Yu Zhang & Jianfeng Song, 2023. "Farmers’ Water Poverty Measurement and Analysis of Endogenous Drivers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4309-4326, September.
    5. Yanting Zheng & Jing He & Wenxiang Zhang & Aifeng Lv, 2023. "Assessing Water Security and Coupling Coordination in the Lancang–Mekong River Basin for Sustainable Development," Sustainability, MDPI, vol. 15(24), pages 1-20, December.
    6. Yingbing Liu & Wenying Du & Nengcheng Chen & Xiaolei Wang, 2020. "Construction and Evaluation of the Integrated Perception Ecological Environment Indicator (IPEEI) Based on the DPSIR Framework for Smart Sustainable Cities," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
    7. Bing Jiang & Wenjie Tang & Meijia Li & Guangchao Yang & Xiaoshang Deng & Lihang Cui, 2023. "Assessing Land Resource Carrying Capacity in China’s Main Grain-Producing Areas: Spatial–Temporal Evolution, Coupling Coordination, and Obstacle Factors," Sustainability, MDPI, vol. 15(24), pages 1-26, December.
    8. Chenjun Zhang & Hailiang Huang & Changfeng Shi & Jingru Xu & Yung-ho Chiu, 2024. "Spatial pattern and driving factors for interprovincial water use in China: Based on SNA and LMDI," Energy & Environment, , vol. 35(4), pages 2198-2227, June.

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