IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v139y2024ics0140988324006212.html
   My bibliography  Save this article

Exploring the dilemma of straw economy in China: An analysis based on tripartite evolutionary game model

Author

Listed:
  • Bai, Wuliyasu
  • Zhang, Long
  • Zhou, Zhiqiao
  • Yan, Liang

Abstract

The prohibition of open-air straw burning in China has been proved to be an effective measure for improving air quality and promoting straw utilization. However, the marketization and industrialization of straw utilization, or the commercialized development of “straw economy”, still faces several dilemmas. This paper constructed the tripartite evolutionary game model of farmers, straw utilization companies, and local governments, and analyzed the stability of equilibrium points to identify the strategic factors and influencing mechanisms among the stakeholders in straw industrialization. Moreover, numerical simulations are conducted to explore the effects of changes in key parameters and initial strategy selection on the evolution results under the market mechanism. The results showed that: (1) the optimal state of the tripartite evolutionary stability strategy of straw resource utilization is the formation of straw market, wherein farmers are inclined to vend straw, enterprises are eager to utilize it, and the government abstains from inducements. (2) farmers and straw utilization companies are highly sensitive to straw purchase prices and the other costs in straw utilization; (3) the evolutionary convergence of the strategy selection among the game subjects has shown an obvious interdependence. To promote the development of straw economy, the government ought to recalibrate policy instruments for the straw market temporally, sequentially implementing strategies encompassing subsidies, establishment of procurement depots, and commendation incentives.

Suggested Citation

  • Bai, Wuliyasu & Zhang, Long & Zhou, Zhiqiao & Yan, Liang, 2024. "Exploring the dilemma of straw economy in China: An analysis based on tripartite evolutionary game model," Energy Economics, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:eneeco:v:139:y:2024:i:c:s0140988324006212
    DOI: 10.1016/j.eneco.2024.107913
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988324006212
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2024.107913?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    2. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    3. Li, Qiang & Chen, Dingjiang & Zhu, Bing & Hu, Shanying, 2012. "Industrial straw utilization in China: Simulation and analysis of the dynamics of technology application and competition," Technology in Society, Elsevier, vol. 34(3), pages 207-215.
    4. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
    5. Zhu, Chaoping & Fan, Ruguo & Lin, Jinchai, 2020. "The impact of renewable portfolio standard on retail electricity market: A system dynamics model of tripartite evolutionary game," Energy Policy, Elsevier, vol. 136(C).
    6. He, Guojun & Liu, Tong & Zhou, Maigeng, 2020. "Straw burning, PM2.5, and death: Evidence from China," Journal of Development Economics, Elsevier, vol. 145(C).
    7. Xue, Shengrong & Song, Jinghui & Wang, Xiaojiao & Shang, Zezhou & Sheng, Chenjing & Li, Chongyuan & Zhu, Yufan & Liu, Jingyu, 2020. "A systematic comparison of biogas development and related policies between China and Europe and corresponding insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    8. Awasthi, Mukesh Kumar & Sarsaiya, Surendra & Patel, Anil & Juneja, Ankita & Singh, Rajendra Prasad & Yan, Binghua & Awasthi, Sanjeev Kumar & Jain, Archana & Liu, Tao & Duan, Yumin & Pandey, Ashok & Zh, 2020. "Refining biomass residues for sustainable energy and bio-products: An assessment of technology, its importance, and strategic applications in circular bio-economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    9. Yin, Huajun & Zhao, Wenqiang & Li, Ting & Cheng, Xinying & Liu, Qing, 2018. "Balancing straw returning and chemical fertilizers in China: Role of straw nutrient resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2695-2702.
    10. Wen, Wen & Zhang, Qin, 2015. "A design of straw acquisition mode for China's straw power plant based on supply chain coordination," Renewable Energy, Elsevier, vol. 76(C), pages 369-374.
    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. Zhanwu Wang & Guangyin Xu & Zhenfeng Wang & Zhiping Zhang, 2022. "Sustainability of agricultural waste power generation industry in China: criteria relationship identification and policy design mechanism," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3371-3395, March.
    2. Xia, Xiaoning & Li, Pengwei & Cheng, Yang, 2023. "Tripartite evolutionary game analysis of power battery carbon footprint disclosure under the EU battery regulation," Energy, Elsevier, vol. 284(C).
    3. Teng, Minmin & Lv, Kunfeng & Han, Chuanfeng & Liu, Pihui, 2023. "Trading behavior strategy of power plants and the grid under renewable portfolio standards in China: A tripartite evolutionary game analysis," Energy, Elsevier, vol. 284(C).
    4. Wang, Yadong & Mao, Jinqi & Chen, Fan & Wang, Delu, 2022. "Uncovering the dynamics and uncertainties of substituting coal power with renewable energy resources," Renewable Energy, Elsevier, vol. 193(C), pages 669-686.
    5. Juanjuan Wu & Jian Zhang & Weiming Yi & Hongzhen Cai & Yang Li & Zhanpeng Su, 2021. "A Game-Theoretic Analysis of Incentive Effects for Agribiomass Power Generation Supply Chain in China," Energies, MDPI, vol. 14(3), pages 1-18, January.
    6. Sun, Yufeng & Wang, Yapeng & Yang, Bin & Zheng, Zipeng & Wang, Chun & Chen, Bo & Li, Suiliang & Ying, Jilai & Liu, Xinping & Chen, Liang & Mu, Wenlong, 2021. "Emergy evaluation of straw collection, transportation and storage system for power generation in China," Energy, Elsevier, vol. 231(C).
    7. Nima Karimi, 2023. "Assessing Global Waste Management: Alternatives to Landfilling in Different Waste Streams—A Scoping Review," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    8. Mao, Hui & Zhou, Li & Ying, RuiYao & Pan, Dan, 2021. "Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China," Land Use Policy, Elsevier, vol. 109(C).
    9. Dehghan, Hamed & Amin-Naseri, Mohammad Reza & Nahavandi, Nasim, 2021. "A system dynamics model to analyze future electricity supply and demand in Iran under alternative pricing policies," Utilities Policy, Elsevier, vol. 69(C).
    10. Luo, Tao & Khoshnevisan, Benyamin & Huang, Ruyi & Chen, Qiu & Mei, Zili & Pan, Junting & Liu, Hongbin, 2020. "Analysis of revolution in decentralized biogas facilities caused by transition in Chinese rural areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    11. Jianglong Li & Shiqiang Sun & Mun Sing Ho, 2024. "Immediate Impacts of Air Pollution on the Performance of Football Players," Journal of Sports Economics, , vol. 25(6), pages 753-776, August.
    12. Xinxin Liu & Nan Li & Feng Liu & Hailin Mu & Longxi Li & Xiaoyu Liu, 2021. "Optimal Design on Fossil-to-Renewable Energy Transition of Regional Integrated Energy Systems under CO 2 Emission Abatement Control: A Case Study in Dalian, China," Energies, MDPI, vol. 14(10), pages 1-25, May.
    13. Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 203, Economics Division, School of Social Sciences, University of Southampton.
    14. Tao Du & Jinyu Li & Liuyuanyuan Guo & Xiaohu Wang & Qiuyue Zhu, 2024. "The evolutionary game of establishing a remote consultation system based on the downward allocation of medical resources in a medical alliance," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-25, July.
    15. Xu, Jiuping & Shu, Kejing & Wang, Fengjuan & Yang, Guocan, 2024. "Bi-level multi-objective distribution strategy integrating the permit trading scheme towards coal production capacity layout optimization: Case study from China," Resources Policy, Elsevier, vol. 91(C).
    16. Ni, Ji-Qin, 2024. "A review of household and industrial anaerobic digestion in Asia: Biogas development and safety incidents," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    17. Bangxi Zhang & Tianhong Fu & Chung-Yu Guan & Shihao Cui & Beibei Fan & Yi Tan & Wenhai Luo & Quanquan Wei & Guoxue Li & Yutao Peng, 2022. "Environmental Life Cycle Assessments of Chicken Manure Compost Using Tobacco Residue, Mushroom Bran, and Biochar as Additives," Sustainability, MDPI, vol. 14(9), pages 1-10, April.
    18. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2023. "Sustainable development pathways of China's wind power industry under uncertainties: Perspective from economic benefits and technical potential," Energy Policy, Elsevier, vol. 182(C).
    19. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    20. Viossat, Yannick, 2008. "Evolutionary dynamics may eliminate all strategies used in correlated equilibrium," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 27-43, July.

    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:eee:eneeco:v:139:y:2024:i:c:s0140988324006212. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.