Conference Agenda
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Daily Overview |
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Food and Agriculture 1 Location: B136 Session Chair: Karolina Safarzynska, University of Warsaw | |
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Between-group interactions may delay a social tipping point in sustainable diets University of Warsaw, Poland We propose a data-driven synthetic network to identify target groups for policy interventions to reduce food-related emissions. In the model, diets change gradually as agents adjust the shares of their protein intake to imitate others. Connections between households reflect their similarity of cultural tastes. Policy interventions differ with respect to the number of people within each target group who receive messages about the Lancet diet. We examine both direct emission reductions from selected households changing their diets and indirect emission reductions resulting from their influence on others in the network. We find that policy messages romoting the Lancet diet to households in target groups differentiated based on lifestyle achieve greater reductions in diet-related emissions than policies targeting households in different strata of urban density or meat consumption. This is due to the tradeoff between agents’ meat consumption and social connectivity, which determines whom to target to maximize the adoption of sustainable diets. We also show that the effectiveness of policy interventions depends on whether individuals discuss diets between different target groups. Between-groups interactions may delay the diffusion of sustainable diets if the policy targets an insufficient number of individuals, that is, below a group-specific threshold. | |