IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i2p508-d477724.html
   My bibliography  Save this article

Evolutionary Games of Low-Carbon Behaviors of Construction Stakeholders under Carbon Taxes

Author

Listed:
  • Qiang Du

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Center for Green Engineering and Sustainable Development, Xi’an 710064, China)

  • Yunqing Yan

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Youdan Huang

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Chanchan Hao

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Jiao Wu

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

Abstract

The development of low-carbon buildings (LCBs) in China has not reached its expected status, although the Chinese government has formulated many relevant regulations. The real estate developers and consumers are essential participants in the development of LCBs. This paper explores whether the government’s implementation of the carbon tax will change their choices of LCBs. Evolutionary game models between developers and consumers are established under static and dynamic carbon taxes. Their evolutionarily stable strategies (ESS) are deduced in different situations. According to the real scenarios in China, numerical simulations are further conducted to show that carbon tax influences the low-carbon behaviors of stakeholders in the construction industry. Under a static carbon tax, the two players cannot reach an equilibrium state, while the game system is stable under a dynamic tax. The probability of the developers constructing LCBs is positively related to the carbon tax, while its degree is gradually weakened as the tax rate increases. Therefore, an appropriate tax should be set to promote the development of LCBs effectively. Finally, policy implications are put forwarded to guide the participants’ low-carbon behaviors and reduce the carbon emissions in the Chinese construction industry.

Suggested Citation

  • Qiang Du & Yunqing Yan & Youdan Huang & Chanchan Hao & Jiao Wu, 2021. "Evolutionary Games of Low-Carbon Behaviors of Construction Stakeholders under Carbon Taxes," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:2:p:508-:d:477724
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/2/508/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/2/508/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Nan & Ma, Ding & Chen, Wenying, 2017. "Quantifying the impacts of decarbonisation in China’s cement sector: A perspective from an integrated assessment approach," Applied Energy, Elsevier, vol. 185(P2), pages 1840-1848.
    2. Yenipazarli, Arda, 2016. "Managing new and remanufactured products to mitigate environmental damage under emissions regulation," European Journal of Operational Research, Elsevier, vol. 249(1), pages 117-130.
    3. Lin, Boqiang & Jia, Zhijie, 2018. "The energy, environmental and economic impacts of carbon tax rate and taxation industry: A CGE based study in China," Energy, Elsevier, vol. 159(C), pages 558-568.
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. 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.
    6. Zhang, Li & Sun, Cong & Liu, Hongyu & Zheng, Siqi, 2016. "The role of public information in increasing homebuyers' willingness-to-pay for green housing: Evidence from Beijing," Ecological Economics, Elsevier, vol. 129(C), pages 40-49.
    7. Ning Huang & Libiao Bai & Hailing Wang & Qiang Du & Long Shao & Jingtao Li, 2018. "Social Network Analysis of Factors Influencing Green Building Development in China," IJERPH, MDPI, vol. 15(12), pages 1-16, November.
    8. Qixiang Wang & Linghui Kong & Jin Li & Bangyi Li & Fan Wang, 2020. "Behavioral Evolutionary Analysis between the Government and Uncertified Recycler in China’s E-Waste Recycling Management," IJERPH, MDPI, vol. 17(19), pages 1-15, October.
    9. Lim, Jong-Soo & Kim, Yong-Gun, 2012. "Combining carbon tax and R&D subsidy for climate change mitigation," Energy Economics, Elsevier, vol. 34(S3), pages 496-502.
    10. Onuoha, Iheanyichukwu Joachim & Aliagha, Godwin Uche & Rahman, Mohd Shahril Abdul, 2018. "Modelling the effects of green building incentives and green building skills on supply factors affecting green commercial property investment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 814-823.
    11. Xiao, Tiaojun & Yu, Gang, 2006. "Supply chain disruption management and evolutionarily stable strategies of retailers in the quantity-setting duopoly situation with homogeneous goods," European Journal of Operational Research, Elsevier, vol. 173(2), pages 648-668, September.
    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. Hongxia Zhao & Guangming Xu & Lu Liu & Changchun Shi & Huijuan Zhao, 2023. "Low-Carbon Technology Innovation Decision Making of Manufacturing Companies in the Industrial Internet Platform Ecosystem," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    2. Liao, Dongsheng & Tan, Binbin, 2023. "An evolutionary game analysis of new energy vehicles promotion considering carbon tax in post-subsidy era," Energy, Elsevier, vol. 264(C).
    3. Jichao Geng & Meiyu Ji & Li Yang, 2022. "Role of Enterprise Alliance in Carbon Emission Reduction Mechanism: An Evolutionary Game Analysis," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
    4. Tianwei Geng & Hai Chen & Di Liu & Qinqin Shi & Hang Zhang, 2021. "Research on Mediating Mechanisms and the Impact on Food Provision Services in Poor Areas from the Perspective of Stakeholders," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    5. 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.
    6. Junwu Wang & Yinghui Song & Wei Wang & Suikuan Wang & Feng Guo & Jiequn Lu, 2022. "Marine Construction Waste Recycling Mechanism Considering Public Participation and Carbon Trading: A Study on Dynamic Modeling and Simulation Based on Sustainability Policy," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    7. Shi Wang & Wen Zhang & Hua Wang & Jue Wang & Mu-Jun Jiang, 2021. "How Does Income Inequality Influence Environmental Regulation in the Context of Corruption? A Panel Threshold Analysis Based on Chinese Provincial Data," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
    8. Xiaohui Wu & Ren He & Meiling He, 2021. "Chaos Analysis of Urban Low-Carbon Traffic Based on Game Theory," IJERPH, MDPI, vol. 18(5), pages 1-12, February.
    9. Wing-Keung Wong, 2022. "Editorial Statement and Research Ideas on Using Behavioral Models in Environmental Research and Public Health with Applications," IJERPH, MDPI, vol. 19(12), pages 1-3, June.
    10. Yuhuan Xia & Yubo Liu & Changlin Han & Yang Gao & Yuanyuan Lan, 2022. "How Does Environmentally Specific Servant Leadership Fuel Employees’ Low-Carbon Behavior? The Role of Environmental Self-Accountability and Power Distance Orientation," IJERPH, MDPI, vol. 19(5), pages 1-17, March.

    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. Jiahuan He & Xinggang Luo & Zhongliang Zhang & Yang Yu, 2021. "Strategic Analysis of Participants in the Provision of Elderly Care Services—An Evolutionary Game Perspective," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    2. 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.
    3. 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).
    4. Xiao, Tiaojun & Chen, Guohua, 2009. "Wholesale pricing and evolutionarily stable strategies of retailers with imperfectly observable objective," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1190-1201, August.
    5. Silveira, Douglas & Vasconcelos, Silvinha, 2020. "Essays on duopoly competition with asymmetric firms: Is profit maximization always an evolutionary stable strategy?," International Journal of Production Economics, Elsevier, vol. 225(C).
    6. Wang, Jiepeng & Zhou, Hong & Zhao, Yujie, 2022. "Behavior evolution of supply chain networks under disruption risk — From aspects of time dynamic and spatial feature," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    7. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).
    8. Weiling Wang & Yongjian Wang & Xiaoqing Zhang & Dalin Zhang, 2021. "Effects of Government Subsidies on Production and Emissions Reduction Decisions under Carbon Tax Regulation and Consumer Low-Carbon Awareness," IJERPH, MDPI, vol. 18(20), pages 1-17, October.
    9. 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.
    10. Wei Duan & Hengli Cao & Desheng Xu, 2023. "Research on the Impact of New Parts Price Increase on the Stability of Closed-Loop Supply Chain," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    11. Kuiran Shi & Hujie Ma, 2016. "Evolution Of Trust In A Dual-Channel Supply Chain Considering Reciprocal Altruistic Behavior," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-30, September.
    12. 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).
    13. Guohua Qu & Yanfang Wang & Ling Xu & Weihua Qu & Qiang Zhang & Zeshui Xu, 2021. "Low-Carbon Supply Chain Emission Reduction Strategy Considering the Supervision of Downstream Enterprises Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    14. Zhou, Xiaoxiao & Jia, Mengyu & Wang, Lu & Sharma, Gagan Deep & Zhao, Xin & Ma, Xiaowei, 2022. "Modelling and simulation of a four-group evolutionary game model for green innovation stakeholders: Contextual evidence in lens of sustainable development," Renewable Energy, Elsevier, vol. 197(C), pages 500-517.
    15. Qianqian Shi & Jianbo Zhu & Qian Li, 2018. "Cooperative Evolutionary Game and Applications in Construction Supplier Tendency," Complexity, Hindawi, vol. 2018, pages 1-13, January.
    16. Shiwen Zhao & Liwen Chen, 2021. "Exploring Residents’ Purchase Intention of Green Housings in China: An Extended Perspective of Perceived Value," IJERPH, MDPI, vol. 18(8), pages 1-19, April.
    17. Li, Zhengda & Zheng, Chengxin & Liu, Aimin & Yang, Yang & Yuan, Xiaoling, 2022. "Environmental taxes, green subsidies, and cleaner production willingness: Evidence from China's publicly traded companies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    18. Chuan Zhao & Luyao Li & Hongxia Sun & Hongji Yang, 2021. "Multi-Scenario Evolutionary Game of Rumor-Affected Enterprises under Demand Disruption," Sustainability, MDPI, vol. 13(1), pages 1-26, January.
    19. Ji, Ping & Ma, Xin & Li, Gang, 2015. "Developing green purchasing relationships for the manufacturing industry: An evolutionary game theory perspective," International Journal of Production Economics, Elsevier, vol. 166(C), pages 155-162.
    20. Xin-gang, Zhao & Ling-zhi, Ren & Yu-zhuo, Zhang & Guan, Wan, 2018. "Evolutionary game analysis on the behavior strategies of power producers in renewable portfolio standard," Energy, Elsevier, vol. 162(C), pages 505-516.

    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:jijerp:v:18:y:2021:i:2:p:508-:d:477724. 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.