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A Study on the Incentive Policy of China’s Prefabricated Residential Buildings Based on Evolutionary Game Theory

Author

Listed:
  • Qiyun Huang

    (Engineering Management, School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Junwu Wang

    (Engineering Management, School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Mengwei Ye

    (Engineering Management, School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Shiman Zhao

    (Engineering Management, School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Xiang Si

    (China Construction Seventh Division South Company, Shenzhen 518000, China)

Abstract

With prefabricated construction method deemed as an effective way to improve the environmental performance and sustainable development of the building industry, it is inevitably adopted in the scaled residence in the process of residential industrialization. However, the development of prefabricated residential buildings is still immature under the current market economy system, because the stakeholders involved in the process are not yet able to form a good cooperation mechanism and they are more inclined to keep their own interests. As a result, the market share of prefabricated residential buildings is relatively low. Therefore, it is necessary to conduct research on the stakeholders involved. By analyzing their costs and benefits, the reasons that really impede the population of prefabricated residential buildings can be found. In this paper, incremental cost allocation coefficient is introduced, the incremental cost difference under different assembly rates is considered, and the allocation ratio of the incremental cost input of the prefabricated building is analyzed based on game theory. The evolutionary game theory for government and real estate companies is established under the condition of bounded rationality with consumer participation. Then the effectiveness of the game theory is verified using empirical analysis, so as to provide reference for the authorities to promote the large-scale development of prefabricated residential buildings.

Suggested Citation

  • Qiyun Huang & Junwu Wang & Mengwei Ye & Shiman Zhao & Xiang Si, 2022. "A Study on the Incentive Policy of China’s Prefabricated Residential Buildings Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 14(3), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1926-:d:744517
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    References listed on IDEAS

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    1. Wang, Jun & Qin, Yanjun & Zhou, Jingyang, 2021. "Incentive policies for prefabrication implementation of real estate enterprises: An evolutionary game theory-based analysis," Energy Policy, Elsevier, vol. 156(C).
    2. Leyi Shi & Xiran Wang & Huiwen Hou, 2021. "Research on Optimization of Array Honeypot Defense Strategies Based on Evolutionary Game Theory," Mathematics, MDPI, vol. 9(8), pages 1-21, April.
    3. Tomonari Yashiro, 2014. "Conceptual framework of the evolution and transformation of the idea of the industrialization of building in Japan," Construction Management and Economics, Taylor & Francis Journals, vol. 32(1-2), pages 16-39, February.
    4. Xiaolin Zhai & Richard Reed & Anthony Mills, 2014. "Factors impeding the offsite production of housing construction in China: an investigation of current practice," Construction Management and Economics, Taylor & Francis Journals, vol. 32(1-2), pages 40-52, February.
    5. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    6. Cansino, José M. & Pablo-Romero, María del P. & Román, Rocío & Yñiguez, Rocío, 2010. "Tax incentives to promote green electricity: An overview of EU-27 countries," Energy Policy, Elsevier, vol. 38(10), pages 6000-6008, October.
    7. Manman Wang & Shuai Lian & Shi Yin & Hengmin Dong, 2020. "A Three-Player Game Model for Promoting the Diffusion of Green Technology in Manufacturing Enterprises from the Perspective of Supply and Demand," Mathematics, MDPI, vol. 8(9), pages 1-26, September.
    8. Coninx, Kristof & Deconinck, Geert & Holvoet, Tom, 2018. "Who gets my flex? An evolutionary game theory analysis of flexibility market dynamics," Applied Energy, Elsevier, vol. 218(C), pages 104-113.
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    Cited by:

    1. Ying Xie & Yisheng Liu, 2022. "Tripartite Evolutionary Game Analysis of Stakeholder Decision-Making Behavior in Energy-Efficient Retrofitting of Office Buildings," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    2. Shengxi Zhang & Zhongfu Li & Shengbin Ma & Long Li & Mengqi Yuan, 2022. "Critical Factors Influencing Interface Management of Prefabricated Building Projects: Evidence from China," Sustainability, MDPI, vol. 14(9), pages 1-20, April.

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