Putting survey-based behavioural heterogeneity into an agent-based land-use model dampens synchronized responses and increases medium-intensity management, but type behaviour depends strongly on population context.
Agent-based Integrated Assessment Models: Alternative Foundations to the Environment-Energy-Economics Nexus
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abstract
Climate change is a major global challenge today. To assess how policies may lead to mitigation, economists have developed Integrated Assessment Models, however, most of the equilibrium based models have faced heavy critiques. Agent-based models have recently come to the fore as an alternative macroeconomic modeling framework. In this paper, four Agent-based Integrated Assessment Models linking environment, energy and economy are reviewed. These models have several advantages over existing models in terms of their heterogeneous agents, the allocation of damages amongst the individual agents, representation of the financial system, and policy mixes. While Agent-based Integrated Assessment Models have made strong advances, there are several avenues into which research should be continued, including incorporation of natural resources and spatial dynamics, closer analysis of distributional effects and feedbacks, and multi-sectoral firm network structures.
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Empirical behavioural heterogeneity shapes the dynamics of an agent-based land use model
Putting survey-based behavioural heterogeneity into an agent-based land-use model dampens synchronized responses and increases medium-intensity management, but type behaviour depends strongly on population context.