Evolutionary analysis of stakeholder behavior in green retrofitting of traditional residential buildings based on dissemination and game models

Yaohong Yang, Ruicong Sun, Jing Dai and Mengjuan Zhu

PLOS ONE, 2023, vol. 18, issue 3, 1-32

Abstract: To achieve carbon peaking and carbon neutrality goals in China, green retrofitting of traditional residential buildings is the one of the important ways. Therefore, the dynamics process of the change of the resident group intention to retrofit and its impact on the behavior of the tripartite game between the government, investment retrofitting enterprises and residents needs to be analyzed. Firstly, a dissemination model of green retrofitting intentions among resident groups is constructed, and it is coupled with the tripartite game model. Then, through numerical simulation, the dissemination laws of intention for green retrofitting among resident groups and its influence on the evolution process of the tripartite game are analyzed. The results show that: (1) The rate at which the triad of government, investment retrofitting enterprises and residents reaches steady state is influenced by the impact of changes in the level of social climate on the rate of conversion of potential and participating residents to immune residents. When the rate of enterprises investment and residents participation increases, the rate of government choice of incentive strategies decreases; (2) greater government regulation and subsidies will increase the intention of residents and retrofitting enterprises to participate. The ideal steady state without government incentives can be achieved when the group size of participating residents is increased by improving the level of government publicity and education and the technology level of the enterprises; (3) the intention of enterprises to invest is closely related to the cognitive benefits and the level of risk perception of residents. The conclusions of the study can be used as a reference for the government to make green retrofitting policies for traditional residential buildings.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0282314

DOI: 10.1371/journal.pone.0282314

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