What Drives Low‐Carbon Consumption? A Behavioural Diffusion Model Integrating Regret Theory and Evolutionary Game Theory.

Effectively diffusing low‐carbon consumption behaviour throughout society is a critical challenge in advancing the green transition. However, this diffusion process is jointly shaped by multiple factors, including government regulation, boundedly rational psychological responses and social network i...

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Detalles Bibliográficos
Publicado en:Systems Research & Behavioral Science Vol. 43; no. 5; pp. 1870 - 1888
Autores principales: Li, Chuang, Deng, Liping, Lei, Tongtong, Wang, Liping
Formato: Artículo
Publicado: Wiley-Blackwell Sep/Oct2026
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Effectively diffusing low‐carbon consumption behaviour throughout society is a critical challenge in advancing the green transition. However, this diffusion process is jointly shaped by multiple factors, including government regulation, boundedly rational psychological responses and social network interactions. To systematically uncover the underlying dynamic mechanisms, this study develops an analytical evolutionary game model based on pair approximation (PA) and validates it through multi‐agent simulations. The main findings are as follows. First, a clear economic threshold governs whether low‐carbon consumption can be widely adopted. When the consumption cost is lower than the combined effect of governmental incentives and penalties, the system converges toward full adoption. Agent‐based simulation results reveal pronounced phase transition behaviour near this critical point, which is highly consistent with the theoretical predictions of the PA framework; phase diagrams and sensitivity analyses further confirm the robustness of this threshold. Second, economic factors determine the long‐term equilibrium outcome of policy diffusion, whereas weak low‐carbon policies tend to be ineffective in practice. In contrast, social interaction and psychological perception primarily affect the diffusion rate rather than the final equilibrium. Moreover, a minimum threshold of social network density exists, below which effective diffusion remains difficult even under strong economic incentives. Third, the diffusion process exhibits pronounced path dependence. The adoption rate may evolve along trajectories characterised by local lock‐in effects and hysteresis loops. Overall, this study clarifies the hierarchical roles of economic, social and psychological factors in behavioural diffusion from a mechanistic perspective. It offers new insights into the social propagation patterns underlying the 'difficulty of initiation' and 'reversal' observed in low‐carbon promotion, thereby providing valuable guidance for the design of precise and effective policy interventions.