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How Do Government Policies Promote Green Housing Diffusion in China? A Complex Network Game Context

Author

Listed:
  • Xia Cao

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Tianjiao Zhao

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Zeyu Xing

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

To reduce energy consumption and environmental pollution in the construction industry, many countries have focused on the development of green housing (GH), which is a type of green building for residential use. In China, the local governments have introduced various incentive policies to encourage the development of GH; however, its scale is still small and unevenly distributed. This implies a necessity to optimize the policies that apply to the GH incentive. To promote GH diffusion, we built an evolutionary game model on a complex network to analyze the impacts of government policies on GH pricing and demand and the profits of real estate enterprises developing GH. By implementing simulations, we further explored the incentive effect and operational mechanism of the government policies. The results show that the subsidy policy, the preferential policy for GH, and the restriction policy for ordinary housing can effectively promote the diffusion of GH to 0.6752, 0.506, and 0.5137 respectively. Meanwhile, the incentive effect of the enterprise subsidy policy and GH preferential policy gradually decreases with the increase in policy strength. In terms of the demand side, the consumer subsidy policy could promote GH diffusion to 0.7097. If the subsidy is below 120 CNY/m 2 , the effect of the consumer subsidy policy is less powerful than that of the enterprises subsidy policy; conversely, the former is slightly more effective than the latter. The outcome of the study has managerial implications on governmental decision-making, especially on the strategy design of incentive policies for GH.

Suggested Citation

  • Xia Cao & Tianjiao Zhao & Zeyu Xing, 2022. "How Do Government Policies Promote Green Housing Diffusion in China? A Complex Network Game Context," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2238-:d:750721
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    References listed on IDEAS

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    1. Peidong Sang & Haona Yao & Lin Zhang & Sen Wang & Yanjie Wang & Jinjian Liu, 2020. "Influencing factors of consumers’ willingness to purchase green housing: a survey from Shandong Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4267-4287, June.
    2. 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).
    3. Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    4. Stephen Oluwatobi & Isaiah Olurinola & Philip Alege & Adeyemi Ogundipe, 2020. "Knowledge-driven economic growth: the case of Sub-Saharan Africa," Contemporary Social Science, Taylor & Francis Journals, vol. 15(1), pages 62-81, January.
    5. Zezhou Wu & Mingyang Jiang & Yuzhu Cai & Hao Wang & Shenghan Li, 2019. "What Hinders the Development of Green Building? An Investigation of China," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    6. Mussa, Michael & Rosen, Sherwin, 1978. "Monopoly and product quality," Journal of Economic Theory, Elsevier, vol. 18(2), pages 301-317, August.
    7. Li, Qianwen & Long, Ruyin & Chen, Hong, 2018. "Differences and influencing factors for Chinese urban resident willingness to pay for green housings: Evidence from five first-tier cities in China," Applied Energy, Elsevier, vol. 229(C), pages 299-313.
    8. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2019. "An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network," Energy Policy, Elsevier, vol. 129(C), pages 1-12.
    9. Xingchi Shen & Pengfei Liu & Yueming (Lucy) Qiu & Anand Patwardhan & Parth Vaishnav, 2021. "Estimation of change in house sales prices in the United States after heat pump adoption," Nature Energy, Nature, vol. 6(1), pages 30-37, January.
    10. Ye, Ling & Cheng, Zhijun & Wang, Qingqin & Lin, Wenshi & Ren, Feifei, 2013. "Overview on Green Building Label in China," Renewable Energy, Elsevier, vol. 53(C), pages 220-229.
    11. Grimmer, Martin & Bingham, Timothy, 2013. "Company environmental performance and consumer purchase intentions," Journal of Business Research, Elsevier, vol. 66(10), pages 1945-1953.
    12. 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.
    13. Jingyang Zhou & Yanjun Qin & Shaoze Fang, 2019. "Impacts of Consumers and Real Estate Enterprises on the Implementation of Prefabrication in Residential Buildings: The Moderating Role of Incentive Policies," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    14. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    15. Xiaodong Yang & Jiayu Zhang & Xianbo Zhao, 2018. "Factors Affecting Green Residential Building Development: Social Network Analysis," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
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