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Simulating institutional heterogeneity in sustainability science.

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Understanding institutions, the rules governing human behavior, is crucial for sustainability. Modeling these rules reveals their significant impact on climate mitigation costs and emissions reduction, highlighting the need for integrated approaches in sustainability science.

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Area of Science:

  • Sustainability Science
  • Computational Social Science
  • Climate Change Modeling

Background:

  • Sustainability outcomes depend on natural, engineered, and socio-economic systems.
  • Institutions (formal and informal rules) significantly shape human behavior and system dynamics.
  • Current computational models often lack robust representation of institutional influences.

Purpose of the Study:

  • To comparatively synthesize three modeling approaches (integrated assessment, engineering-economic optimization, agent-based modeling) for representing institutions.
  • To investigate the impact of heterogeneous institutions on climate mitigation systems.
  • To explore the potential of computational models to incorporate institutional change for improved sustainability insights.

Main Methods:

  • Comparative synthesis of integrated assessment modeling, engineering-economic optimization, and agent-based modeling.
  • Development of modeling experiments on climate mitigation systems incorporating formal policies, institutional coordination, informal attitudes, and norms.
  • Analysis of aggregate and distributional impacts of institutional variations.

Main Results:

  • Inclusion of institutions in climate mitigation models yields measurable, though uneven, aggregate impacts.
  • Distributional impacts of institutions are significant across various actors.
  • Omitting institutions can inflate mitigation costs and obscure opportunities for accelerated emissions reduction.

Conclusions:

  • Institutions play a critical role in the pace and structure of sustainability transitions.
  • Existing modeling approaches have underexplored potential for representing institutions.
  • A future research agenda calls for interdisciplinary collaboration to endogenize institutional change in sustainability models.