When the design of climate policy meets public acceptance: An adaptive multiplex network model

Francesca Lipari (), Lara Lázaro-Touza, Gonzalo Escribano, Ángel Sánchez and Alberto Antonioni

Ecological Economics, 2024, vol. 217, issue C

Abstract: The socio-political processes that influence the acceptance of climate policies play a crucial role in shaping mitigation strategies. In this paper, we explore the interplay between social and political dynamics and their impact on climate policy support. Using a simplified model of the social and political system, we aim to uncover ways to enhance public support for climate change mitigation measures. Several factors come into play when considering policy support, including social norms, self-efficacy, social learning, and income. By examining climate mitigation policies and accounting for shifting and inherent preferences, we shed light on how individuals contribute to processes of social change. Through simulations, we find that even minimal peer pressure has a positive and significant impact on individuals' inclination towards green behaviours, regardless of whether regressive or progressive policies are implemented. Additionally, assuming uniform self-efficacy across society leads to an overestimation of society's acceptance of green policies. Our results highlight the importance of nurturing existing skills or developing new ones. Finally, our findings reveal that regional heterogeneity matters for climate policy acceptance.

Keywords: Environmental Behaviour; Institutional design; Carbon pricing; Climate policy; Externality taxation; Endogenous preferences; Social network; Multiplex network (search for similar items in EconPapers)
JEL-codes: D01 D02 D85 D91 H23 Q58 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolec:v:217:y:2024:i:c:s0921800923003476

DOI: 10.1016/j.ecolecon.2023.108084

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