4.7 Article

Evolutionary dynamics of homeowners? energy-efficiency retrofit decision-making in complex network

期刊

JOURNAL OF ENVIRONMENTAL MANAGEMENT
卷 326, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2022.116849

关键词

Energy -efficiency retrofit; Decision making; Evolutionary dynamics; Agent -based model; Complex network

资金

  1. Post-Funded Project for Research on Philosophy and Social Sciences from Ministry of Education of China [19JHG091]
  2. Major Program of National Social Science Fund of China [20ZD155]

向作者/读者索取更多资源

This study examines the key factors influencing homeowners' energy-efficiency retrofit adoption decisions and uses simulation experiments to demonstrate the effects of government incentives, retrofit costs, retrofit uncertainty, and network size on the adoption evolution.
Understanding homeowners' energy-efficiency retrofit (EER) decision-making is a critical priority for reducing the adverse environmental impacts of the building sector and promoting a sustainable consumption transition. Existing research lacks attention to the dynamics and social interactions in the decision-making process of homeowner EER adoption. This paper applies the complex network-based evolutionary game approach with agent-based modeling to construct an evolutionary dynamics model for homeowners' EER adoption decisionmaking. Through simulation experiments, this paper examines the effects of various key factors, including government incentives, retrofit costs, retrofit uncertainty, and network size, on the evolution of EER adoption. The results suggest that government incentives facilitate EER adoption, but their effects require a sufficiently long period of policy implementation and extensive social interaction to be realized. Reducing retrofit costs is a robust and effective way to encourage EER adoption, especially when uncertainty is high. Retrofit uncertainty has a significant impact on the adoption evolution. Increased uncertainty can hinder adoption decisions. In particular, the combination of high uncertainty and incentives is prone to lead to incentive failure. The increase in network size contributes to EER adoption, but attention needs to be paid to the impact of potential incentive redundancy in large-scale networks.

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