IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1926-d744517.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1926/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1926/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. Leng Yi & Fukuda Hiroatsu, 2022. "Incentives for Innovation in Robotics and Automated Construction: Based on a Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    2. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Khosroshahi, Hossein & Altmann, Jörn, 2022. "An evolutionary game-theoretic approach to study the technological transformation of the industrial sector toward renewable electricity procurement: A case study of Iran," Applied Energy, Elsevier, vol. 318(C).
    3. Yangyang Li & Jianing Sun & Juan Chen & Jinlei Li & Li Sun & Kewang Cao, 2024. "How to Promote the Development of Cultural and Creative Industries from an Evolutionary Game Perspective: Policy Mechanisms for Certification + Incentives," Sustainability, MDPI, vol. 16(11), pages 1-38, May.
    4. Ye Gao & Renfu Jia & Yi Yao & Jiahui Xu, 2022. "Evolutionary Game Theory and the Simulation of Green Building Development Based on Dynamic Government Subsidies," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    5. Weiwei Liu & Jianing Yang, 2018. "The Evolutionary Game Theoretic Analysis for Sustainable Cooperation Relationship of Collaborative Innovation Network in Strategic Emerging Industries," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    6. Zufeng Shang & Fenglai Wang & Xu Yang, 2022. "The Efficiency of the Chinese Prefabricated Building Industry and Its Influencing Factors: An Empirical Study," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    7. 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.
    8. Zhang, Mengdi & Shen, Qiao & Zhao, Zhiheng & Wang, Shuaian & Huang, George Q., 2024. "Commitment or rent-seeking? Government incentive policies for ESG reporting in sustainable e-commerce logistics," International Journal of Production Economics, Elsevier, vol. 268(C).
    9. Zhao, Tian & Liu, Zhixin & Jamasb, Tooraj, 2022. "Developing hydrogen refueling stations: An evolutionary game approach and the case of China," Energy Economics, Elsevier, vol. 115(C).
    10. Du, Qiang & Wang, Yalei & Pang, Qiaoyu & Hao, Tingting & Zhou, Yuqing, 2023. "The dynamic analysis on low-carbon building adoption under emission trading scheme," Energy, Elsevier, vol. 263(PC).
    11. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    12. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    13. Gu, Tianqi & Xu, Weiping & Liang, Hua & He, Qing & Zheng, Nan, 2024. "School bus transport service strategies’ policy-making mechanism – An evolutionary game approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    14. Wang Mingbao & Du Zhiping & Duan Hong, 2017. "Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 411-434, October.
    15. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    16. Jialu Li & Meiying Yang & Wei Xing & Xuan Zhao, 2018. "Information Acquisition Behavior: An Evolutionary Game Theory Perspective," Dynamic Games and Applications, Springer, vol. 8(2), pages 434-455, June.
    17. Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    18. Meng Ding & Hui Zeng, 2022. "Multi-Agent Evolutionary Game in the Recycling Utilization of Sulfate-Rich Wastewater," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    19. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    20. Bergstrom, Theodore C & Stark, Oded, 1993. "How Altruism Can Prevail in an Evolutionary Environment," American Economic Review, American Economic Association, vol. 83(2), pages 149-155, May.

    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:gam:jsusta:v:14:y:2022:i:3:p:1926-:d:744517. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.