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The dynamic analysis on low-carbon building adoption under emission trading scheme

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  • Du, Qiang
  • Wang, Yalei
  • Pang, Qiaoyu
  • Hao, Tingting
  • Zhou, Yuqing

Abstract

Low-carbon building (LCB) is generally considered an effective solution for reducing energy consumption and carbon emissions in the construction industry. However, LCBs have not been widely adopted by developers due to uncertainties of high R&D investments, immaturity of markets, and inefficiency of policy mechanisms. To promote the widespread application of LCBs, this paper firstly expounds the interactions among developers regarding the LCB adoption under emission trading scheme (ETS). Then, an evolutionary game model on LCB adoption is developed to analyze the systematic evolutionary stability and discuss the dynamic evolutionary process. The results show that the initial willingness of developers affects the evolutionary trajectories and developers with a high low-carbon level play a leading role in the promotion of LCBs. Key factors in relation with LCB adoption are further investigated through the simulation analysis method. The results reveal that the low-carbon market demand, the low-carbon synergetic benefit and the carbon price have positive impacts on LCB adoption, and higher attention should be assigned to the low-carbon synergetic benefit. This study also provides a significant reference for developers on maintaining market competitiveness and insights for the government on improving the performance of the ETS system.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222028328
    DOI: 10.1016/j.energy.2022.125946
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    as
    1. Pan, Yanchun & Yang, Wen & Ma, Nan & Chen, Zhimin & Zhou, Ming & Xiong, Yi, 2019. "Game analysis of carbon emission verification: A case study from Shenzhen's cap-and-trade system in China," Energy Policy, Elsevier, vol. 130(C), pages 418-428.
    2. Duarte, Rosa & Sánchez-Chóliz, Julio & Sarasa, Cristina, 2018. "Consumer-side actions in a low-carbon economy: A dynamic CGE analysis for Spain," Energy Policy, Elsevier, vol. 118(C), pages 199-210.
    3. Du, Qiang & Han, Xiao & Li, Yi & Li, Zhe & Xia, Bo & Guo, Xiqian, 2021. "The energy rebound effect of residential buildings: Evidence from urban and rural areas in China," Energy Policy, Elsevier, vol. 153(C).
    4. Shi, Qian & Yu, Tao & Zuo, Jian, 2015. "What leads to low-carbon buildings? A China study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 726-734.
    5. Wang, Zhaoxia & Zhao, Jing & Li, Meng, 2017. "Analysis and optimization of carbon trading mechanism for renewable energy application in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 435-451.
    6. Liu, Dunnan & Xiao, Bowen, 2018. "Exploring the development of electric vehicles under policy incentives: A scenario-based system dynamics model," Energy Policy, Elsevier, vol. 120(C), pages 8-23.
    7. Ma, Minda & Ma, Xin & Cai, Wei & Cai, Weiguang, 2020. "Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak," Applied Energy, Elsevier, vol. 273(C).
    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. Wang, Tao & Foliente, Greg & Song, Xinyi & Xue, Jiawei & Fang, Dongping, 2014. "Implications and future direction of greenhouse gas emission mitigation policies in the building sector of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 520-530.
    10. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    11. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    12. Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).
    13. de Ayala, Amaia & Galarraga, Ibon & Spadaro, Joseph V., 2016. "The price of energy efficiency in the Spanish housing market," Energy Policy, Elsevier, vol. 94(C), pages 16-24.
    14. Zhang, Yurong & Wang, Yuanfeng, 2013. "Barriers' and policies' analysis of China's building energy efficiency," Energy Policy, Elsevier, vol. 62(C), pages 768-773.
    15. Georgiadou, Maria Christina & Hacking, Theophilus & Guthrie, Peter, 2012. "A conceptual framework for future-proofing the energy performance of buildings," Energy Policy, Elsevier, vol. 47(C), pages 145-155.
    16. Zhang, Suyong & Wang, Chuanxu & Yu, Chao, 2019. "The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 343-355.
    17. Röck, Martin & Saade, Marcella Ruschi Mendes & Balouktsi, Maria & Rasmussen, Freja Nygaard & Birgisdottir, Harpa & Frischknecht, Rolf & Habert, Guillaume & Lützkendorf, Thomas & Passer, Alexander, 2020. "Embodied GHG emissions of buildings – The hidden challenge for effective climate change mitigation," Applied Energy, Elsevier, vol. 258(C).
    18. Hu, Jiangfeng & Pan, Xinxin & Huang, Qinghua, 2020. "Quantity or quality? The impacts of environmental regulation on firms’ innovation–Quasi-natural experiment based on China's carbon emissions trading pilot," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    19. Liu, Liwei & Chen, Chuxiang & Zhao, Yufei & Zhao, Erdong, 2015. "China׳s carbon-emissions trading: Overview, challenges and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 254-266.
    20. Zuo, Jian & Zhao, Zhen-Yu, 2014. "Green building research–current status and future agenda: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 271-281.
    21. Song, Xiangnan & Lu, Yujie & Shen, Liyin & Shi, Xunpeng, 2018. "Will China's building sector participate in emission trading system? Insights from modelling an owner's optimal carbon reduction strategies," Energy Policy, Elsevier, vol. 118(C), pages 232-244.
    22. Fang, Debin & Zhao, Chaoyang & Kleit, Andrew N., 2019. "The impact of the under enforcement of RPS in China: An evolutionary approach," Energy Policy, Elsevier, vol. 135(C).
    23. Li, Wei & Jia, Zhijie, 2016. "The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China," Applied Energy, Elsevier, vol. 174(C), pages 1-14.
    24. Zhang, Da & Karplus, Valerie J. & Cassisa, Cyril & Zhang, Xiliang, 2014. "Emissions trading in China: Progress and prospects," Energy Policy, Elsevier, vol. 75(C), pages 9-16.
    25. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    26. Xue, Hong & Wu, Zezhou & Sun, Zhi & Jiao, Shuaishuai, 2021. "Effects of policy on developer's implementation of off-site construction: The mediating role of the market environment," Energy Policy, Elsevier, vol. 155(C).
    27. 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.
    28. Li, Zheng & Chang, Shiyao & Ma, Linwei & Liu, Pei & Zhao, Lingxiao & Yao, Qiang, 2012. "The development of low-carbon towns in China: Concepts and practices," Energy, Elsevier, vol. 47(1), pages 590-599.
    29. Sandberg, Nina Holck & Næss, Jan Sandstad & Brattebø, Helge & Andresen, Inger & Gustavsen, Arild, 2021. "Large potentials for energy saving and greenhouse gas emission reductions from large-scale deployment of zero emission building technologies in a national building stock," Energy Policy, Elsevier, vol. 152(C).
    30. Fang, Yujuan & Chen, Laijun & Mei, Shengwei & Wei, Wei & Huang, Shaowei & Liu, Feng, 2019. "Coal or electricity? An evolutionary game approach to investigate fuel choices of urban heat supply systems," Energy, Elsevier, vol. 181(C), pages 107-122.
    31. Wang, Y. & Mauree, D. & Sun, Q. & Lin, H. & Scartezzini, J.L. & Wennersten, R., 2020. "A review of approaches to low-carbon transition of high-rise residential buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
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