IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i22p6237-d284424.html
   My bibliography  Save this article

A Game Theory-Based Approach for Exploring Water Resource Exploitation Behavior in the Poyang Lake Basin, China

Author

Listed:
  • Tiangui Lv

    (School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang 330013, China
    Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Hualin Xie

    (Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Hua Lu

    (Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Xinmin Zhang

    (Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Lei Yang

    (School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang 330013, China)

Abstract

Exploring the relationship between competition and cooperation in water resource exploitation by applying a game model is crucial for achieving stable equilibrium in the presence of environmental externalities. To explore this, we used the Poyang Lake Basin, which is divided into three overly exploited sub-regions, as an example. This paper selected the different types of sub-regions of Poyang Lake Basin as the research subjects, and then proposed a game model to study evolutionarily stable equilibrium strategies. The results are as follows: (1) the behavior of the sub-regions of Poyang Lake Basin are affected by one another and cannot achieve equilibrium through independent games, which also need external forces to coordinate the three reaches; (2) the benefits improve gradually from the state of “non-cooperation” to “full cooperation” and reach an ideal equilibrium when all the sub-regions choose the strategy of cooperation; (3) the strategic choice of sub-reaches is difficult to maximize the overall benefits of the basin in the absence of external constraints. To ensure that the sub-regions choose the cooperative strategy, the central government should support the cooperative subsidies of local governments. In addition to improving the equilibrium state of the sub-reaches, this study proposes the following policy implications: constructing a basin plan and promoting fiscal transfer payments, inducing an industrial gradient transfer, and strengthening the payment for the use of water resources.

Suggested Citation

  • Tiangui Lv & Hualin Xie & Hua Lu & Xinmin Zhang & Lei Yang, 2019. "A Game Theory-Based Approach for Exploring Water Resource Exploitation Behavior in the Poyang Lake Basin, China," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6237-:d:284424
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/22/6237/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/22/6237/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    2. Zhang, Ning & Wu, Tao & Wang, Bing & Dong, Liang & Ren, Jingzheng, 2016. "Sustainable water resource and endogenous economic growth," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 237-244.
    3. Xie, Hualin & Jin, Shengtian, 2019. "Evolutionary Game Analysis of Fallow Farmland Behaviors of Different Types of Farmers and Local Governments," Land Use Policy, Elsevier, vol. 88(C).
    4. Enrique Campos-Nañez & Alfredo Garcia & Chenyang Li, 2008. "A Game-Theoretic Approach to Efficient Power Management in Sensor Networks," Operations Research, INFORMS, vol. 56(3), pages 552-561, June.
    5. Abdessalam, A. H., 2014. "Tax competition and the determination of the quality of public goods," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-20.
    6. A. Antoci & S. Borghesi & M. Sodini, 2017. "Water Resource Use and Competition in an Evolutionary Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(8), pages 2523-2543, June.
    7. Kim, Young-Han, 2011. "International policy coordination mechanism with respect to the moral hazards of financial intermediaries," Economic Modelling, Elsevier, vol. 28(4), pages 1914-1922, July.
    8. Shulin Lan & Ming-Lang Tseng, 2018. "Coordinated Development of Metropolitan Logistics and Economy Toward Sustainability," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1113-1138, December.
    9. Young-Han Kim, 1999. "The international policy coordination to reduce the financial volatility in north East Asia," Global Economic Review, Taylor & Francis Journals, vol. 28(4), pages 102-116.
    10. Xie, Hualin & Wang, Wei & Zhang, Xinmin, 2018. "Evolutionary game and simulation of management strategies of fallow cultivated land: A case study in Hunan province, China," Land Use Policy, Elsevier, vol. 71(C), pages 86-97.
    11. Christopoulos, Stamatios & Demir, Cansu & Kull, Michael, 2016. "Cross-sectoral coordination for sustainable solutions in Croatia: The (meta) governance of energy efficiency," Energy Policy, Elsevier, vol. 99(C), pages 57-87.
    12. Caihua Zhou & Hualin Xie & Xinmin Zhang, 2019. "Does Fiscal Policy Promote Third-Party Environmental Pollution Control in China? An Evolutionary Game Theoretical Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    13. Garrick, D. & Siebentritt, M.A. & Aylward, B. & Bauer, C.J. & Purkey, A., 2009. "Water markets and freshwater ecosystem services: Policy reform and implementation in the Columbia and Murray-Darling Basins," Ecological Economics, Elsevier, vol. 69(2), pages 366-379, December.
    14. Moradi, Sohrab & Limaei, Soleiman Mohammadi, 2018. "Multi-objective game theory model and fuzzy programing approach for sustainable watershed management," Land Use Policy, Elsevier, vol. 71(C), pages 363-371.
    15. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    16. Munda, Giuseppe, 2009. "A conflict analysis approach for illuminating distributional issues in sustainability policy," European Journal of Operational Research, Elsevier, vol. 194(1), pages 307-322, April.
    17. A.H. Ould Abdessalam & Eric Kamwa, 2014. "Tax Competition and the Determination of the Quality of Public Goods," Post-Print halshs-01101985, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Okura, Fumi & Budiasa, I Wayan & Kato, Tasuku, 2022. "Exploring a Balinese irrigation water management system using agent-based modeling and game theory," Agricultural Water Management, Elsevier, vol. 274(C).
    2. Z. Ghaffari Moghadam & E. Moradi & M. Hashemi Tabar & A. Sardar Shahraki, 2023. "Developing a Bi-level programming model for water allocation based on Nerlove’s supply response theory and water market," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5663-5689, June.

    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. Wu, Tao & Zhang, Ning & Gui, Lin & Wu, Wenjie, 2018. "Sustainable endogenous growth model of multiple regions: Reconciling OR and economic perspectives," European Journal of Operational Research, Elsevier, vol. 269(1), pages 218-226.
    2. Caihua Zhou & Hualin Xie & Xinmin Zhang, 2019. "Does Fiscal Policy Promote Third-Party Environmental Pollution Control in China? An Evolutionary Game Theoretical Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    3. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    4. Na Wang & Yongrok Choi, 2019. "Challenges for Sustainable Water Use in the Urban Industry of Korea Based on the Global Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    5. Guitao Qiao & Dan Yang & Mahmood Ahmad & Zahoor Ahmed, 2022. "Modeling for Insights: Does Fiscal Decentralization Impede Ecological Footprint?," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    6. He, Yafen & Xie, Hualin & Peng, Chaozhong, 2020. "Analyzing the behavioural mechanism of farmland abandonment in the hilly mountainous areas in China from the perspective of farming household diversity," Land Use Policy, Elsevier, vol. 99(C).
    7. Xie, Hualin & Huang, Yingqian & Choi, Yongrok & Shi, Jiaying, 2021. "Evaluating the sustainable intensification of cultivated land use based on emergy analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    8. Hualin Xie & Yanwei Zhang & Yongrok Choi & Fengqin Li, 2020. "A Scientometrics Review on Land Ecosystem Service Research," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    9. Yun Teng & Peiwen Lin, 2022. "Research on Behavioral Decision-Making of Subjects on Cultivated Land Conservation under the Goal of Carbon Neutrality," Land, MDPI, vol. 11(10), pages 1-25, September.
    10. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
    11. Zhang, Ning & Wu, Tao & Wang, Bing & Dong, Liang & Ren, Jingzheng, 2016. "Sustainable water resource and endogenous economic growth," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 237-244.
    12. Wu, Tao & Zhang, Li-Guo & Ge, Teng, 2019. "Managing financing risk in capacity investment under green supply chain competition," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 37-44.
    13. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    14. Yanwei Zhang & Xinhai Lu & Yucheng Zou & Tiangui Lv, 2022. "Nudging Strategies for Arable Land Protection Behavior in China," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    15. Sadooghi, Seyed Ehsan & Taleai, Mohammad & Abolhasani, Somaie, 2022. "Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory," Land Use Policy, Elsevier, vol. 120(C).
    16. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    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. Smith, Helen F. & Sullivan, Caroline A., 2014. "Ecosystem services within agricultural landscapes—Farmers' perceptions," Ecological Economics, Elsevier, vol. 98(C), pages 72-80.
    19. Rongrong Xu & Yongxiang Wu & Ming Chen & Xuan Zhang & Wei Wu & Long Tan & Gaoxu Wang & Yi Xu & Bing Yan & Yuedong Xia, 2019. "Calculation of the contribution rate of China’s hydraulic science and technology based on a feedforward neural network," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-22, September.
    20. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.

    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:jsusta:v:11:y:2019:i:22:p:6237-:d:284424. 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.