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Evolutionary Game Research on Green Construction Considering Consumers’ Preference under Government Supervision

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  • Xiaoxiao Geng

    (School of Architecture and Art, Hebei University of Engineering, Handan 056038, China)

  • Ling Lv

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Yingchen Wang

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Ran Sun

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Xiangmei Wang

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

Abstract

Construction is closely related to people’s lives and public activities. With regard to issues of energy conservation, emission reduction, and sustainable development put forth, the word “green” is increasingly used in the construction industry. Green construction is an inevitable requirement for the sustainable development of the construction industry. In addition, the government regulation mechanism is also the key to the establishment and development of green construction. Thus, on the basis of evolutionary game theory, this paper constructs an evolutionary game model of developers, general contractors, and the government. Then, the evolutionary stability strategies under different conditions are discussed. Lastly, the evolution mechanism in the game process of the green construction system and the influence of relevant parameters on the evolution path of the game model are analyzed through numerical simulation. The results show that (1) when consumer preferences change, the evolutionary stability strategies also change. Consumer preference plays a positive role in the establishment and development of green construction, but a certain increase in consumer preference will lead to free-rider behavior. (2) The government’s control mechanism can not only effectively mobilize the enthusiasm of enterprises to participate but also effectively inhibit the free-rider behavior of enterprises; however, it cannot completely prevent the occurrence of free-rider behavior. (3) On the one hand, the government can advocate green consumption to promote the improvement of consumers’ green preferences; on the other hand, enterprises actively carry out technological innovation and equipment advances to enhance the likelihood that consumers will embrace green preferences to achieve the optimal ESS. This study not only provides good guidance for developers and general contractors to make optimal strategic choices under different consumers’ green preferences, but also provides a reference for the government to formulate reasonable regulatory policies. At the same time, it promotes the development of green construction and further promotes environmental protection.

Suggested Citation

  • Xiaoxiao Geng & Ling Lv & Yingchen Wang & Ran Sun & Xiangmei Wang, 2022. "Evolutionary Game Research on Green Construction Considering Consumers’ Preference under Government Supervision," IJERPH, MDPI, vol. 19(24), pages 1-27, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16743-:d:1002293
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    References listed on IDEAS

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    1. Hongyu Long & Hongyong Liu & Xingwei Li & Longjun Chen, 2020. "An Evolutionary Game Theory Study for Construction and Demolition Waste Recycling Considering Green Development Performance under the Chinese Government’s Reward–Penalty Mechanism," IJERPH, MDPI, vol. 17(17), pages 1-21, August.
    2. Qianqian Shi & Ziyu Wang & Boya Li & Marcel Hertogh & Shuyi Wang, 2022. "Evolutionary Analysis of Prefabrication Implementation in Construction Projects under Low-Carbon Policies," IJERPH, MDPI, vol. 19(19), pages 1-14, September.
    3. Xiaer Xiahou & Jingfeng Yuan & Yan Liu & Yuchun Tang & Qiming Li, 2018. "Exploring the Driving Factors of Construction Industrialization Development in China," IJERPH, MDPI, vol. 15(3), pages 1-16, March.
    4. Anton, W.R.Q.Wilma Rose Q. & Deltas, George & Khanna, Madhu, 2004. "Incentives for environmental self-regulation and implications for environmental performance," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 632-654, July.
    5. Peidong Sang & Jinjian Liu & Lin Zhang & Lingqiao Zheng & Haona Yao & Yanjie Wang, 2018. "Effects of Project Manager Competency on Green Construction Performance: The Chinese Context," Sustainability, MDPI, vol. 10(10), pages 1-17, September.
    6. Yujing Wang & Dan Chong & Xun Liu, 2021. "Evaluating the Critical Barriers to Green Construction Technologies Adoption in China," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    7. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    8. Tengfei Shi & Hanjie Xiao & Fengxia Han & Lan Chen & Jianwei Shi, 2022. "A Regulatory Game Analysis of Smart Aging Platforms Considering Privacy Protection," IJERPH, MDPI, vol. 19(9), pages 1-21, May.
    9. Xueying Wu & Wenyi Zhao & Tianshan Ma, 2019. "Improving the Impact of Green Construction Management on the Quality of Highway Engineering Projects," Sustainability, MDPI, vol. 11(7), pages 1-24, March.
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