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.

Issue Date:
Sep 25 2017
Publication Type:
Working or Discussion Paper
Record Identifier:
Total Pages:
JEL Codes:
C63; O10; P16; Q00; Q4; Q5
Series Statement:

 Record created 2017-09-25, last modified 2018-01-23

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