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Social “win-win” promotion of green housing under the four-subject evolutionary game

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  • Li, Qianwen
  • Qian, Tingyu
  • Wang, Jiaqi
  • Long, Ruyin
  • Chen, Hong
  • Sun, Chuanwang

Abstract

The development of green housing in China has been primarily driven by the government in a top-down manner. To ensure successful promotion and maximize economic benefits, it is crucial for government departments to accurately understand the payment behavior of residents, the key demand-side participants in China's green housing market. Additionally, realtors stand to benefit from better understanding residents' preferences and employing more accurate marketing strategies, leading to mutually beneficial outcomes for the economy, environment, and society. This study incorporates the main stakeholders of green housing (government, realtors, and residents) into a four-party evolutionary game model, introducing a “virtual game party” (virtual government) under different policy scenarios: no policy, incentive policy, and mandatory policy. The Matlab simulation results indicate that the greater the level of neglect by the government, the more inclined it becomes to adopt incentive or mandatory policies. As the government's penalties become more stringent, real estate developers are more likely to choose to engage in the development and construction of green housing. This, in turn, influences the decisions of the government and residents. Higher government subsidies lead to a greater likelihood of real estate developers choosing to develop green housing, and residents are more inclined to opt for paying for green housing. This also encourages the government to promote green housing initiatives. When the subsidy coefficient offered by real estate developers increases, their likelihood of choosing to develop green housing grows, but at the same time, residents become less likely to opt for paying for green housing. A higher trust coefficient leads to residents being more likely to choose to purchase green housing, which further drives the government and real estate developers to construct and promote green housing. Finally, the study provides corresponding policy recommendations based on the research findings.

Suggested Citation

  • Li, Qianwen & Qian, Tingyu & Wang, Jiaqi & Long, Ruyin & Chen, Hong & Sun, Chuanwang, 2023. "Social “win-win” promotion of green housing under the four-subject evolutionary game," Energy Economics, Elsevier, vol. 127(PA).
  • Handle: RePEc:eee:eneeco:v:127:y:2023:i:pa:s0140988323006151
    DOI: 10.1016/j.eneco.2023.107117
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    References listed on IDEAS

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    1. De Silva, Muthu & Wang, Pengji & Kuah, Adrian T.H., 2021. "Why wouldn’t green appeal drive purchase intention? Moderation effects of consumption values in the UK and China," Journal of Business Research, Elsevier, vol. 122(C), pages 713-724.
    2. Geng, Jichao & Long, Ruyin & Chen, Hong & Li, Wenbo, 2017. "Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 282-292.
    3. 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.
    4. Zhang, Xiaoling, 2015. "Green real estate development in China: State of art and prospect agenda—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1-13.
    5. Tan, Ruipeng & Pan, Lulu & Xu, Mengmeng & He, Xinju, 2022. "Transportation infrastructure, economic agglomeration and non-linearities of green total factor productivity growth in China: Evidence from partially linear functional coefficient model," Transport Policy, Elsevier, vol. 129(C), pages 1-13.
    6. Sheng-Yuan Wang & Kyung-Tae Lee & Ju-Hyung Kim, 2022. "Green Retrofitting Simulation for Sustainable Commercial Buildings in China Using a Proposed Multi-Agent Evolutionary Game," Sustainability, MDPI, vol. 14(13), pages 1-32, June.
    7. Liwen Chen & Mengjia Zhang & Shiwen Zhao & Junhai Ma, 2021. "Game Analysis of the Multiagent Evolution of Existing Building Green Retrofitting from the Perspective of Green Credit," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-19, June.
    8. Martina Keitsch & Yong Geng & Huijuan Dong & Bing Xue & Jia Fu, 2012. "An Overview of Chinese Green Building Standards," Sustainable Development, John Wiley & Sons, Ltd., vol. 20(3), pages 211-221, May.
    9. Niamh Murtagh & Aeli Roberts & Richard Hind, 2016. "The relationship between motivations of architectural designers and environmentally sustainable construction design," Construction Management and Economics, Taylor & Francis Journals, vol. 34(1), pages 61-75, January.
    10. Fan, Meiting & Li, Mengxu & Liu, Jianghua & Shao, Shuai, 2022. "Is high natural resource dependence doomed to low carbon emission efficiency? Evidence from 283 cities in China," Energy Economics, Elsevier, vol. 115(C).
    11. Zhang, Li & Wu, Jing & Liu, Hongyu, 2018. "Policies to enhance the drivers of green housing development in China," Energy Policy, Elsevier, vol. 121(C), pages 225-235.
    12. Tan, Ruipeng & Xu, Mengmeng & Qiao, Gang & Wu, Huaqing, 2023. "FDI, financial market development and nonlinearities of energy and environmental efficiency in China: Evidence from both parametric and nonparametric models," Energy Economics, Elsevier, vol. 119(C).
    13. Olubunmi, Olanipekun Ayokunle & Xia, Paul Bo & Skitmore, Martin, 2016. "Green building incentives: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1611-1621.
    14. Hong, Ying & Hu, Jiangting & Chen, Mengyu & Tang, Shoulian, 2023. "Motives and antecedents affecting green purchase intention: Implications for green economic recovery," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 523-538.
    15. Xiaojuan Li & Chen Wang & Mukhtar A. Kassem & Yishu Liu & Kherun Nita Ali, 2022. "Study on Green Building Promotion Incentive Strategy Based on Evolutionary Game between Government and Construction Unit," Sustainability, MDPI, vol. 14(16), pages 1-15, August.
    16. Qiu, Yueming & Kahn, Matthew E., 2019. "Impact of voluntary green certification on building energy performance," Energy Economics, Elsevier, vol. 80(C), pages 461-475.
    17. Zhang, Yurong & Wang, Yuanfeng, 2013. "Barriers' and policies' analysis of China's building energy efficiency," Energy Policy, Elsevier, vol. 62(C), pages 768-773.
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