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Green Transformation of Anti-Epidemic Supplies in the Post-Pandemic Era: An Evolutionary Approach

Author

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  • Han Xiao

    (School of Business, Qingdao University, Qingdao 266071, China)

  • Cheng Ma

    (School of Business, Qingdao University, Qingdao 266071, China)

  • Hongwei Gao

    (School of Mathematics and Statistics, Qingdao University, Qingdao 266071, China)

  • Ye Gao

    (School of Business, Qingdao University, Qingdao 266071, China)

  • Yang Xue

    (School of Business, Qingdao University, Qingdao 266071, China
    The Center for Data Science in Health and Medicine, Qingdao University, Qingdao 266071, China)

Abstract

Post-pandemic, the use of medical supplies, such as masks, for epidemic prevention remains high. The explosive growth of medical waste during the COVID-19 pandemic has caused significant environmental problems. To alleviate this, environment-friendly epidemic prevention measures should be developed, used, and promoted. However, contradictions exist between governments, production enterprises, and medical institutions regarding the green transformation of anti-epidemic supplies. Consequently, this study aimed to investigate how to effectively guide the green transformation. Concerning masks, a tripartite evolutionary game model, consisting of governments, mask enterprises, and medical institutions, was established for the supervision of mask production and use, boundary conditions of evolutionary stabilization strategies and government regulations were analyzed, and a dynamic system model was used for the simulation analysis. This analysis revealed that the only tripartite evolutionary stability strategy is for governments to deregulate mask production, enterprises to increase eco-friendly mask production, and medical institutions to use these masks. From the comprehensive analysis, a few important findings are obtained. First, government regulation can promote the green transformation process of anti-epidemic supplies. Government should realize the green transformation of anti-epidemic supplies immediately in order to avoid severe reputation damage. Second, external parameter changes can significantly impact the strategy selection process of all players. Interestingly, it is further found that the cost benefit for using environmentally friendly masks has a great influence on whether green transformation can be achieved. Consequently, the government should establish a favorable marketplace for, and promote the development of, inexpensive, high-quality, and effective environmentally friendly masks in order to achieve the ultimate goal of green transformation of anti-epidemic supplies in the post-pandemic era.

Suggested Citation

  • Han Xiao & Cheng Ma & Hongwei Gao & Ye Gao & Yang Xue, 2022. "Green Transformation of Anti-Epidemic Supplies in the Post-Pandemic Era: An Evolutionary Approach," IJERPH, MDPI, vol. 19(10), pages 1-26, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6011-:d:816036
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    1. Ma, Cheng & Dai, Yuankang & Li, Zhongfei, 2022. "Financing format selection for electronic business platforms with a capital-constrained e-tailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    2. Fadi Makki & Anna Lamb & Rouba Moukaddem, 2021. "Plastics and the coronavirus pandemic: a behavioral science perspective," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 20(2), pages 209-213, November.
    3. John Tooby & Leda Cosmides & Michael E. Price, 2006. "Cognitive adaptations for n-person exchange: the evolutionary roots of organizational behavior," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(2-3), pages 103-129.
    4. Mengqi Gong & Zhe You & Linting Wang & Jinhua Cheng, 2020. "Environmental Regulation, Trade Comparative Advantage, and the Manufacturing Industry’s Green Transformation and Upgrading," IJERPH, MDPI, vol. 17(8), pages 1-17, April.
    5. Seoyong Kim & Jae Eun Lee & Donggeun Kim, 2019. "Searching for the Next New Energy in Energy Transition: Comparing the Impacts of Economic Incentives on Local Acceptance of Fossil Fuels, Renewable, and Nuclear Energies," Sustainability, MDPI, vol. 11(7), pages 1-32, April.
    6. Wanshu Wu & Kai Zhao & Lei Li, 2021. "Can government subsidy strategies and strategy combinations effectively stimulate enterprise innovation? Theory and evidence," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 423-446, July.
    7. Elena Scaglione & Gianluigi De Falco & Giuseppe Mantova & Valeria Caturano & Alessia Stornaiuolo & Andrea D’Anna & Paola Salvatore, 2022. "An Experimental Analysis of Five Household Equipment-Based Methods for Decontamination and Reuse of Surgical Masks," IJERPH, MDPI, vol. 19(6), pages 1-11, March.
    8. Lynn J Frewer & Chaya Howard & Richard Shepherd, 1998. "Understanding public attitudes to technology," Journal of Risk Research, Taylor & Francis Journals, vol. 1(3), pages 221-235, July.
    9. Lu Huang & Lihua Wang & Zhusheng Liu & Yujie Li, 2021. "Evolutionary game analysis of green industry development in the age of sharing economy," Applied Economics, Taylor & Francis Journals, vol. 53(27), pages 3065-3079, June.
    10. Tuochen Li & Xinyu Zhou, 2022. "Research on the Mechanism of Government–Industry–University–Institute Collaborative Innovation in Green Technology Based on Game–Based Cellular Automata," IJERPH, MDPI, vol. 19(5), pages 1-25, March.
    11. Liang Shen & Runjie Fan & Yuyan Wang & Zhaoqing Yu & Rongyun Tang, 2020. "Impacts of Environmental Regulation on the Green Transformation and Upgrading of Manufacturing Enterprises," IJERPH, MDPI, vol. 17(20), pages 1-14, October.
    12. 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.
    13. Bansal, Sangeeta & Gangopadhyay, Shubhashis, 2003. "Tax/subsidy policies in the presence of environmentally aware consumers," Journal of Environmental Economics and Management, Elsevier, vol. 45(2, Supple), pages 333-355, March.
    14. Safarzadeh, Soroush & Rasti-Barzoki, Morteza, 2019. "A game theoretic approach for pricing policies in a duopolistic supply chain considering energy productivity, industrial rebound effect, and government policies," Energy, Elsevier, vol. 167(C), pages 92-105.
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