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Behavior Strategy Analysis Based on the Multi-Stakeholder Game under the Plastic Straw Ban in China

Author

Listed:
  • Tinggui Chen

    (School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
    Academy of Zhejiang Culture Industry Innovation & Development, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Yuling Zhang

    (School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Jianjun Yang

    (Department of Computer Science and Information Systems, University of North Georgia, Oakwood, GA 30566, USA)

  • Guodong Cong

    (School of Tourism and Urban-Rural Planning, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Guozhang Jiang

    (Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Gongfa Li

    (Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China)

Abstract

Since 1 January 2021, China has banned nondegradable disposable straws in the catering industry. To promote the enforcement of the ban of plastic straws and improve the relationship between economic development and environmental protection, based on the evolutionary game method, this paper constructs the game model from the supply side and the demand side, respectively. Subsequently, through the dynamic equation, stable system evolution strategy is obtained. Furthermore, simulation is conducted to test the influence of the main parameters in the model on the evolution of system strategy. The results show that (1) the change of the government strategy mainly depends on its regulation costs and revenue, while the production strategy of a company is affected by the government and consumer strategies. (2) From the perspective of enterprise supply, government subsidies can promote technological innovation and develop new plastic straw substitutes. However, government penalties have little effect on violating enterprises. In addition, from the perspective of enterprise demand, with the collaboration of enterprises and consumers, it is easier for enterprises to carry out technological innovation. (3) Consumer acceptance of the substitutes for disposable plastic straws as well as online comments have a decisive influence on the enterprises’ selections for research and development (R&D) strategies.

Suggested Citation

  • Tinggui Chen & Yuling Zhang & Jianjun Yang & Guodong Cong & Guozhang Jiang & Gongfa Li, 2021. "Behavior Strategy Analysis Based on the Multi-Stakeholder Game under the Plastic Straw Ban in China," IJERPH, MDPI, vol. 18(23), pages 1-33, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12729-:d:693698
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    References listed on IDEAS

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    1. Eleonora Foschi & Sara Zanni & Alessandra Bonoli, 2020. "Combining Eco-Design and LCA as Decision-Making Process to Prevent Plastics in Packaging Application," Sustainability, MDPI, vol. 12(22), pages 1-13, November.
    2. Doris Knoblauch & Linda Mederake & Ulf Stein, 2018. "Developing Countries in the Lead—What Drives the Diffusion of Plastic Bag Policies?," Sustainability, MDPI, vol. 10(6), pages 1-24, June.
    3. Bharadwaj, Bishal & Baland, Jean Marie & Nepal, Mani, 2020. "What makes a ban on plastic bags effective? The case of Nepal," Environment and Development Economics, Cambridge University Press, vol. 25(2), pages 95-114, April.
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, April.
    6. Hong Shen & Ying Peng & Chunxiang Guo, 2018. "Analysis of the Evolution Game of Construction and Demolition Waste Recycling Behavior Based on Prospect Theory under Environmental Regulation," IJERPH, MDPI, vol. 15(7), pages 1-17, July.
    7. repec:hhs:iuiwop:487 is not listed on IDEAS
    8. Jiayang Xu & Jian Cao & Yunfei Wang & Xiangrong Shi & Jiayun Zeng, 2020. "Evolutionary Game on Government Regulation and Green Supply Chain Decision-Making," Energies, MDPI, vol. 13(3), pages 1-25, February.
    9. Timo Herberz & Claire Y. Barlow & Matthias Finkbeiner, 2020. "Sustainability Assessment of a Single-Use Plastics Ban," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
    10. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    11. Zapata, Oscar, 2021. "The relationship between climate conditions and consumption of bottled water: A potential link between climate change and plastic pollution," Ecological Economics, Elsevier, vol. 187(C).
    12. Rajendra Kumar Foolmaun & Dinkar Sharma Chamilall & Girish Munhurrun & Anand Sookun, 2021. "Was Mauritius really successful in banning plastic carry bags, after promulgation of the regulation prohibiting plastic bags usage?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11660-11676, August.
    13. Zongguo Wen & Yiling Xie & Muhan Chen & Christian Doh Dinga, 2021. "China’s plastic import ban increases prospects of environmental impact mitigation of plastic waste trade flow worldwide," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
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