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Spatiotemporal Distribution and Obstacle Factors of New-Quality Productivity in Water Conservancy in China Based on RAGA-PP and Obstacle Degree Model

Author

Listed:
  • Wei Wang

    (Beijing Key Lab of Urban Hydrological Cycle and Sponge City Technology, College of Water Science, Beijing Normal University, Beijing 100875, China
    Bureau of Comprehensive Development, Ministry of Water Resources, Beijing 100053, China)

  • Aihua Li

    (Key Laboratory of Land and Sea Ecological Governance and Systematic Regulation of the Ministry of Ecology and Environment, Shandong Academy for Environmental Planning, Jinan 250101, China)

  • Yiyang Li

    (Beijing Key Lab of Urban Hydrological Cycle and Sponge City Technology, College of Water Science, Beijing Normal University, Beijing 100875, China)

  • Xiaoxiao Zhou

    (College of Sciences, North China University of Science and Technology, Tangshan 063210, China)

  • Yafeng Yang

    (College of Sciences, North China University of Science and Technology, Tangshan 063210, China)

Abstract

Developing new-quality productivity in water conservancy (NQPWC) is vital for advancing economic and social development, with a focus on sustainability. An evaluation of NQPWC and the identification of key barriers can help define the challenges and guide the development of targeted solutions. This study established an evaluation indicators system for NQPWC through four dimensions (3H1G): High-technology, High-efficiency, High-quality, and Green. Utilizing a multi-attribute decision approach based on the Real-Code Accelerated Genetic Algorithm Projection Pursuit model (RAGA-PP model), an evaluation of NQPWC at the provincial level in China from 2011 to 2022 was conducted. The results revealed a curvilinear upward trend in NQPWC in most regions, with southeastern coastal provinces (cities) outperforming those in the northwest. Further, the major obstacles affecting NQPWC’s development were identified through an Obstacle Degree Model (ODM), with High-technology being the most significant dimension, followed by High-quality, Green, and High-efficiency.

Suggested Citation

  • Wei Wang & Aihua Li & Yiyang Li & Xiaoxiao Zhou & Yafeng Yang, 2025. "Spatiotemporal Distribution and Obstacle Factors of New-Quality Productivity in Water Conservancy in China Based on RAGA-PP and Obstacle Degree Model," Sustainability, MDPI, vol. 17(10), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4534-:d:1656850
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