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Environmental Awareness and Social Sustainability: Insights from an Agent-Based Model with Social Learning and Individual Heterogeneity
SCS Lab, Department of Human and Engineered Environment, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8563, Japan.
SCS Lab, Department of Human and Engineered Environment, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8563, Japan; School of Economics and Management, Liaoning Petrochemical University, Fushun 113001, China.
School of Economics and Management, Liaoning University, Shenyang 110136, China;.
School of Economics and Management, Tongji University, Shanghai 200092, China;.
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2024 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 16, no 17, article id 7853Article in journal (Refereed) Published
Abstract [en]

Social sustainability requires both technological innovations and societal changes within energy systems, with decentralization playing a critical role. This shift emphasizes the increasing importance of individual user decision-making, posing significant management challenges. An individual’s environmental awareness has a key influence on their energy decisions. However, the relationship between individual environmental awareness and social sustainability, particularly from a systemic perspective, remains underexplored. Our study uses agent-based modeling to examine this relationship within Japan’s electricity market, focusing on social learning and consumer heterogeneity. We find that social learning leads to the formation of consumer clusters with specific electricity preferences, affecting environmental awareness differently across high- and low-carbon groups. This process reveals the nuanced role of social learning in promoting low-carbon technology adoption, which varies according to the market share of low-carbon energy. Additionally, our results suggest that initial heterogeneity in environmental awareness among consumers has a limited and varied effect on sustainable transition pathways. However, the diversity resulting from social learning significantly shapes these trajectories. These insights highlight the complex interplay between individual behaviors, societal dynamics, and technological advancements in steering the sustainable transition, providing valuable considerations for future energy system management.

Place, publisher, year, edition, pages
MDPI AG , 2024. Vol. 16, no 17, article id 7853
Keywords [en]
agent-based model, environmental awareness, heterogeneity, social learning, social sustainability
National Category
Other Social Sciences not elsewhere specified
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URN: urn:nbn:se:kth:diva-353905DOI: 10.3390/su16177853ISI: 001311689300001Scopus ID: 2-s2.0-85204121914OAI: oai:DiVA.org:kth-353905DiVA, id: diva2:1900980
Note

QC 20240925

Available from: 2024-09-25 Created: 2024-09-25 Last updated: 2025-05-05Bibliographically approved

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Madani Larijani, Hatef

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