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Dynamic reward and penalty strategies of green building construction incentive: an evolutionary game theory-based analysis

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Abstract

Green building incentives are widely adopted in the world to promote green building construction. However, the incentives from the government are usually predetermined, which cannot obtain a stable effect in green construction practice. To better promote green building construction, this paper studies dynamic government’s reward and penalty evolution during the construction process. Based on the prospect theory, the decision of government reward and penalty is formulated as evolutionary game model under four different scenarios: static reward and static penalty, dynamic reward and static penalty, static reward and dynamic penalty, and dynamic reward and dynamic penalty. Through theoretical analysis, our results revealed that the dynamic reward and static penalty is the best strategy to promote green building construction. More specifically, if the intensity of subsidy and penalty increases, contractors tend to green construction; while the probability of active supervision by government is inversely proportional to subsidy and positively proportional to penalty. This study can provide a useful insight for the policy makers to formulate effective reward and penalty policy, thereby standardizing the behavior of contractors, and reducing the negative impact of the construction industry on the environment.

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Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Funding

The authors express their gratitude to everyone who provided assistance for the present study. This work was supported by the National Natural Science Foundation of China (Nos. 72071096, 71971100, 71671078, 72071097); Social Science Fund of Jiangsu Province (19GLB005, 19GLB018); the Key Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province (2018SJZDI052); sponsored by Qing Lan Project of Jiangsu Province; and Key Research Base of Universities in Jiangsu Province for Philosophy and Social Science “Research Center for Green Development and Environmental Governance.”

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Authors and Affiliations

  1. School of Management, Jiangsu University, Zhenjiang, 212013, China

    Qingfeng Meng, Yingying Liu & Zhen Li

  2. School of Management, Guangzhou University, Guangzhou, 510006, China

    Changzhi Wu

Authors
  1. Qingfeng Meng
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  2. Yingying Liu
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  3. Zhen Li
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  4. Changzhi Wu
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Contributions

MQF, LYY, LZ WCZ are for methodology and solution method, LYY wrote original draft.

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Correspondence to Changzhi Wu.

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Meng, Q., Liu, Y., Li, Z. et al. Dynamic reward and penalty strategies of green building construction incentive: an evolutionary game theory-based analysis. Environ Sci Pollut Res 28, 44902–44915 (2021). https://doi.org/10.1007/s11356-021-13624-z

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  • DOI: https://doi.org/10.1007/s11356-021-13624-z

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