IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i23p9091-d457376.html
   My bibliography  Save this article

System Dynamics Model for Evaluating Socio-Economic Impacts of Different Water Diversion Quantity from Transboundary River Basins—A Case Study of Xinjiang

Author

Listed:
  • Zhiying Shao

    (Business School, Hohai University, Nanjing 211100, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China)

  • Fengping Wu

    (Business School, Hohai University, Nanjing 211100, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China)

  • Fang Li

    (Business School, Hohai University, Nanjing 211100, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China)

  • Yue Zhao

    (Business School, Hohai University, Nanjing 211100, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China)

  • Xia Xu

    (Business School, Hohai University, Nanjing 211100, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China)

Abstract

With the rapid development of social economy and global climate warming, scarce transboundary water resources, as one of the basic resources for socio-economic development, have increasingly become the focus of basin countries. To investigate the socio-economic impacts of different water diversion quantity from transboundary river basins, we used a system dynamics (SD) model to reflect interactions between population, water resources, and socio-economic development, and applied it to a case study in Xinjiang to simulate its change tendency from 2011 to 2030 from the temporal dimension. Then, four water diversion quantity of transboundary river basins and four alternative socio-economic development patterns were designed to comprehensively evaluate these impacts of water diversion quantity change on the socio-economy of the region along the river under different socio-economic development patterns. The results indicate that (1) there was a positive correlation between water diversion quantity and the economic output value of the region along transboundary river basins, and the marginal benefit of transboundary water resources would decrease gradually; (2) considering the difficulty of water diversion from transboundary river basins and the protection of downstream water use and ecological health of transboundary river basins, we believe that increasing the transboundary water resources by 20% was more conducive to the sustainable development of Xinjiang’s socio-economy; (3) through the comparison of dynamic evolutions of socio-economic development and water impacts under four socio-economic development patterns, it is best for Xinjiang to plan its future development in the coordinated development of economic-resource scenario. Following this scenario, not only would the total output value of the socio-economy be better than other scenarios, but this also helps to alleviate the contradiction between the water supply and demand, which expected there would be a water shortage of 1.04 billion m 3 in 2029 under 20% increase in water diversion quantity. Therefore, appropriate water diversion quantity, reasonable adjustment of industrial production growth rate, reduction of water consumption quotas of different industries and domestic water quota, and improvement of collection and treatment rate for sewage should be given priority in water resources management decision-making in Xinjiang or other arid regions along transboundary river basins.

Suggested Citation

  • Zhiying Shao & Fengping Wu & Fang Li & Yue Zhao & Xia Xu, 2020. "System Dynamics Model for Evaluating Socio-Economic Impacts of Different Water Diversion Quantity from Transboundary River Basins—A Case Study of Xinjiang," IJERPH, MDPI, vol. 17(23), pages 1-24, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:23:p:9091-:d:457376
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/23/9091/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/23/9091/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fang Li & Feng-ping Wu & Liu-xin Chen & Yue Zhao & Xiang-nan Chen & Zhi-ying Shao, 2020. "Fair and Reasonable Allocation of Trans-Boundary Water Resources Based on an Asymmetric Nash Negotiation Model from the Satisfaction Perspective: A Case Study for the Lancang–Mekong River Bain," IJERPH, MDPI, vol. 17(20), pages 1-20, October.
    2. J Swanson, 2002. "Business Dynamics—Systems Thinking and Modeling for a Complex World," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 472-473, April.
    3. Wei, Shouke & Yang, Hong & Song, Jinxi & Abbaspour, Karim C. & Xu, Zongxue, 2012. "System dynamics simulation model for assessing socio-economic impacts of different levels of environmental flow allocation in the Weihe River Basin, China," European Journal of Operational Research, Elsevier, vol. 221(1), pages 248-262.
    4. Rivera, Elmer Ccopa & de Queiroz, Julio Ferraz & Ferraz, José Maria & Ortega, Enrique, 2007. "Systems models to evaluate eutrophication in the Broa Reservoir, São Carlos, Brazil," Ecological Modelling, Elsevier, vol. 202(3), pages 518-526.
    5. Li Gong & Chunling Jin, 2009. "Fuzzy Comprehensive Evaluation for Carrying Capacity of Regional Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2505-2513, September.
    6. Xiao-meng Song & Fan-zhe Kong & Che-sheng Zhan, 2011. "Assessment of Water Resources Carrying Capacity in Tianjin City of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(3), pages 857-873, February.
    7. Maryam Ghashghaie & Safar Marofi & Hossein Marofi, 2014. "Using System Dynamics Method to Determine the Effect of Water Demand Priorities on Downstream Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5055-5072, November.
    8. Cazcarro, Ignacio & Duarte, Rosa & Sánchez-Chóliz, Julio, 2013. "Economic growth and the evolution of water consumption in Spain: A structural decomposition analysis," Ecological Economics, Elsevier, vol. 96(C), pages 51-61.
    9. Jesús Gastélum & Juan Valdés & Steven Stewart, 2010. "A System Dynamics Model to Evaluate Temporary Water Transfers in the Mexican Conchos Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1285-1311, May.
    10. Z. Xu & K. Takeuchi & H. Ishidaira & X. Zhang, 2002. "Sustainability Analysis for Yellow River Water Resources Using the System Dynamics Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(3), pages 239-261, June.
    11. Junfeng Yang & Kun Lei & Soonthiam Khu & Wei Meng, 2015. "Assessment of Water Resources Carrying Capacity for Sustainable Development Based on a System Dynamics Model: A Case Study of Tieling City, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 885-899, February.
    12. L. Feng & C. Huang, 2008. "A Risk Assessment Model of Water Shortage Based on Information Diffusion Technology and its Application in Analyzing Carrying Capacity of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(5), pages 621-633, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Junfeng Yang & Kun Lei & Soonthiam Khu & Wei Meng, 2015. "Assessment of Water Resources Carrying Capacity for Sustainable Development Based on a System Dynamics Model: A Case Study of Tieling City, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 885-899, February.
    2. Weijing Ma & Lihong Meng & Feili Wei & Christian Opp & Dewei Yang, 2020. "Sensitive Factors Identification and Scenario Simulation of Water Demand in the Arid Agricultural Area Based on the Socio-Economic-Environment Nexus," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    3. Elmira Hassanzadeh & Mahdi Zarghami & Yousef Hassanzadeh, 2012. "Determining the Main Factors in Declining the Urmia Lake Level by Using System Dynamics Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 129-145, January.
    4. Jesus R. Gastelum & Ganesh Krishnamurthy & Nemesciano Ochoa & Shane Sibbett & Margie Armstrong & Parag Kalaria, 2018. "The Use of System Dynamics Model to Enhance Integrated Resources Planning Implementation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2247-2260, May.
    5. Yutong Tian & Chunhui Li & Yujun Yi & Xuan Wang & Anping Shu, 2020. "Dynamic Model of a Sustainable Water Resources Utilization System with Coupled Water Quality and Quantity in Tianjin City," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    6. Yansong Zhang & Yujie Wei & Yu Mao, 2023. "Sustainability Assessment of Regional Water Resources in China Based on DPSIR Model," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    7. Qianjin Dong & Xu Zhang & Yalin Chen & Debin Fang, 2019. "Dynamic Management of a Water Resources-Socioeconomic-Environmental System Based on Feedbacks Using System Dynamics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2093-2108, April.
    8. Yujie Wei & Ran Wang & Xin Zhuo & Haoying Feng, 2021. "Research on Comprehensive Evaluation and Coordinated Development of Water Resources Carrying Capacity in Qingjiang River Basin, China," Sustainability, MDPI, vol. 13(18), pages 1-22, September.
    9. Lvxiang Deng & Songling Chen & Bryan Karney, 2012. "Comprehensive Evaluation Method of Urban Water Resources Utilization Based on Dynamic Reduct," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2733-2745, August.
    10. Haier Ying & Suya Chen & Yuqin Mao, 2022. "Research on Marine Ecological Carrying Capacity of Ningbo City in China Based on System Dynamics," Sustainability, MDPI, vol. 14(8), pages 1-13, April.
    11. Liu Yuan & Jianzhong Zhou, 2017. "Self-Optimization System Dynamics Simulation of Real-Time Short Term Cascade Hydropower System Considering Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2127-2140, May.
    12. Yonghua Zhu & Sam Drake & Haishen Lü & Jun Xia, 2010. "Analysis of Temporal and Spatial Differences in Eco-environmental Carrying Capacity Related to Water in the Haihe River Basins, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1089-1105, April.
    13. Xiao-meng Song & Fan-zhe Kong & Che-sheng Zhan, 2011. "Assessment of Water Resources Carrying Capacity in Tianjin City of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(3), pages 857-873, February.
    14. Khawar Naeem & Adel Zghibi & Adel Elomri & Annamaria Mazzoni & Chefi Triki, 2023. "A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    15. Maryam Ghashghaei & Ali Bagheri & Saeed Morid, 2013. "Rainfall-runoff Modeling in a Watershed Scale Using an Object Oriented Approach Based on the Concepts of System Dynamics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5119-5141, December.
    16. Wei Qian & Chun Fu & Zhongzheng He, 2023. "Study on Evaluation of Order Degree of Water Resources Coupling System Considering Time Series Characteristics—Take Jiangxi Province as an Example," Sustainability, MDPI, vol. 15(19), pages 1-17, September.
    17. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    18. Yiming He & Thomas M. Fullerton, 2020. "The economic analysis of instrument variables estimation in dynamic optimal models with an application to the water consumption," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(9), pages 413-423.
    19. McGill, Elizabeth & Er, Vanessa & Penney, Tarra & Egan, Matt & White, Martin & Meier, Petra & Whitehead, Margaret & Lock, Karen & Anderson de Cuevas, Rachel & Smith, Richard & Savona, Natalie & Rutter, 2021. "Evaluation of public health interventions from a complex systems perspective: A research methods review," Social Science & Medicine, Elsevier, vol. 272(C).
    20. Mingjing Guo & Ziyu Jiang & Yan Bu & Jinhua Cheng, 2019. "Supporting Sustainable Development of Water Resources: A Social Welfare Maximization Game Model," IJERPH, MDPI, vol. 16(16), pages 1-15, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:23:p:9091-:d:457376. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.