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A Coupled Allocation for Regional Initial Water Rights in Dalinghe Basin, China

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  • Min Ge

    (School of Business Administration, Hohai University, No. 200 Jinling North Road, Changzhou 213022, China
    School of Business Jiangsu University of Technology, No. 1801 Zhongwu Road, Changzhou 213013, China)

  • Feng-ping Wu

    (School of Business, Hohai University, No. 8 Focheng West Road, Nanjing 211100, China)

  • Xiao-ping Chen

    (School of Business Jiangsu University of Technology, No. 1801 Zhongwu Road, Changzhou 213013, China)

Abstract

Regional initial water rights is a crucial part of initial water rights and clarification of it is an essential method to improve the efficiency of water use. It also promotes sustainable use of valuable water resources. Consequently, under new circumstances of China’s most stringent water resources management, with water quantity and quality control, we propose a new perspective for a coupled allocation model of regional initial water rights for a typical river basin. Firstly, we design an index system following principles of the “Three Red Lines” considering the real situation of Dalinghe River Basin, China. Then, under the control of total water use, we establish an allocation model of regional initial water quantity rights by the projection pursuit technology. Secondly, under total pollutant discharge control, we established an allocation model of regional initial pollutant discharge rights considering optimized objectives of economy and society. Thirdly, considering both regional initial water quantity rights and the regional pollutant discharge rights above, we provide an incentive function to build a coupled allocation model for regional initial water rights of Dalinghe River Basin. Finally, according to the scenario of the water frequency 50% and planning year 2030, the research finding shows Chaoyang City obtains the largest quantity of regional initial water rights, followed by Jinzhou, Fuxin, Panjin and Huludao, sequentially, which approximately match the pilot plans of China’s Ministry of Water Resources. The empirical research about Dalinghe River Basin further verifies effectiveness of the model in this paper. It also provides scientific decision support for implementing China’s most stringent water resources management for Dalinghe River Basin.

Suggested Citation

  • Min Ge & Feng-ping Wu & Xiao-ping Chen, 2017. "A Coupled Allocation for Regional Initial Water Rights in Dalinghe Basin, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:428-:d:92988
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    References listed on IDEAS

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    1. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
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    Cited by:

    1. Ying Zhang & Wenwen Luo & Feifei Yu, 2020. "Construction of Chinese Smart Water Conservancy Platform Based on the Blockchain: Technology Integration and Innovation Application," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    2. Yan Liu & Chao Shang, 2022. "Application of Blockchain Technology in Agricultural Water Rights Trade Management," Sustainability, MDPI, vol. 14(12), pages 1-10, June.
    3. Dan Yan & Mingtian Yao & Fulco Ludwig & Pavel Kabat & He Qing Huang & Ronald W. A. Hutjes & Saskia E. Werners, 2018. "Exploring Future Water Shortage for Large River Basins under Different Water Allocation Strategies," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3071-3086, July.
    4. Min Ge & Fengping Wu & Xiaoping Chen, 2018. "Using Multiple Discriminant Analysis for the Assignment of Initial Water Entitlements at River Basin-Level under the Strictest Water Resources Management System Constraints in China," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    5. Chao Bao & Jianjun Zou, 2017. "Exploring the Coupling and Decoupling Relationships between Urbanization Quality and Water Resources Constraint Intensity: Spatiotemporal Analysis for Northwest China," Sustainability, MDPI, vol. 9(11), pages 1-17, October.

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