Actors, Decision-Making, and Institutions in Quantitative System Modelling
Increasing the realism with respect to the representation of actors, decision-making, and institutions is critical to better understand the transition towards a low-carbon sustainable society since actors, decision-making, and institutions are the defining elements of transition pathways. In this paper, we explore how this can be done by conducting a model-based scenario analysis. The increasing focus on implementation and transition dynamics towards long-term objectives requires a better comprehension of what drives change and how those changes can be accelerated.
We explore opportunities that arise from a deeper engagement of quantitative systems modeling with socio-technical transitions studies, initiative-based learning, and applied economics. We argue that a number of opportunities for enriching the realism in model-based scenario analysis can arise through model refinements oriented towards a more detailed approach in terms of actor heterogeneity, as well as through integration across different analytical and disciplinary approaches.
Authors
Specifications
- Publication title
- Actors, Decision-Making, and Institutions in Quantitative System Modelling
- Publication date
- 19 September 2017
- Publication type
- Publication
- Magazine
- FEEM Working Paper No. 46.217
- Product number
- 3189
