What drives sustainable food choices? Testing policies with agent-based modelling

IF 2.8 2区 经济学 Q1 ECONOMICS
Journal of Policy Modeling Pub Date : 2026-05-01 Epub Date: 2026-03-27 DOI:10.1016/j.jpolmod.2026.107042
Kiana Keshavarz , Carmen Jaca , Maria Jesus Alvarez , Sahar Elkady
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引用次数: 0

Abstract

The transition toward a sustainable food industry necessitates significant shifts in consumer behaviour, yet such change remains difficult due to the complex interplay of cognitive, economic, and social factors. This study develops an integrated agent-based model (ABM) to simulate consumer adoption of sustainable food products, incorporating behavioural determinants identified through a structural equation model (SEM) that captures key variables influencing adoption decisions: environmental awareness, knowledge, price sensitivity, and perceived social norms. The ABM represents a heterogeneous artificial population in which agents make probabilistic consumption choices based on their attribute profiles and are subject to dynamic social influence via spatially proximate interactions, while policy interventions are operationalised within the model through information diffusion (awareness campaigns), norm amplification (peer influence enhancement), and economic incentives (price subsidies). An experimental design is employed to assess both individual and combined intervention effects on adoption dynamics, with results indicating that all three interventions yield statistically significant increases in sustainable product adoption rates. Norm reinforcement emerges as the most impactful standalone intervention, while combined strategies, particularly those integrating normative and informational components, exhibit nonlinear synergistic effects. The model also captures the diffusion of awareness across the agent network, highlighting the role of social dynamics in accelerating behavioural transitions. This research contributes to sustainability science by integrating behavioural modelling and simulation to assess the effectiveness of policy interventions and offers practical insights for the design of coordinated strategies that address both individual-level motivations and social mechanisms, supporting more effective efforts to foster sustainable food consumption.
是什么推动了可持续的食物选择?使用基于代理的建模测试策略
向可持续食品工业的转变需要消费者行为的重大转变,但由于认知、经济和社会因素的复杂相互作用,这种改变仍然很困难。本研究开发了一个基于主体的综合模型(ABM)来模拟消费者对可持续食品的采用,并结合了通过结构方程模型(SEM)确定的行为决定因素,该模型捕获了影响采用决策的关键变量:环境意识、知识、价格敏感性和感知的社会规范。ABM代表了一个异质的人工种群,其中主体根据其属性概况做出概率消费选择,并通过空间上接近的相互作用受到动态的社会影响,而政策干预则通过信息扩散(宣传活动)、规范放大(同伴影响力增强)和经济激励(价格补贴)在模型内实施。采用实验设计来评估单独干预和联合干预对采用动态的影响,结果表明,所有三种干预都能在统计上显著提高可持续产品采用率。规范强化是最有效的独立干预,而组合策略,特别是那些整合规范和信息成分的策略,则表现出非线性的协同效应。该模型还捕获了意识在代理网络中的扩散,强调了社会动态在加速行为转变中的作用。本研究通过整合行为建模和模拟来评估政策干预的有效性,为可持续发展科学做出贡献,并为设计兼顾个人动机和社会机制的协调策略提供实用见解,支持更有效地促进可持续粮食消费。
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来源期刊
CiteScore
6.20
自引率
11.40%
发文量
76
期刊介绍: The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.
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