Actors, Decision-making, and Institutions in Quantitative System Modelling

Enrica De Cian (), Shouro Dasgupta, Andries F. Hof, Mariësse A.E. van Sluisveld, Jonathan Köhler, Benjamin Pfluger and Detlef P. van Vuuren
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Andries F. Hof: PBL Netherlands Environmental Assessment Agency and Utrecht University
Mariësse A.E. van Sluisveld: PBL Netherlands Environmental Assessment Agency and Utrecht University
Jonathan Köhler: ISI Fraunhofer Institute
Benjamin Pfluger: ISI Fraunhofer Institute
Detlef P. van Vuuren: PBL Netherlands Environmental Assessment Agency and Utrecht University

No 2017.46, Working Papers from Fondazione Eni Enrico Mattei

Abstract: 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.

Keywords: Modelling; Transition Pathways; Scenarios; Institutions; Governance (search for similar items in EconPapers)
JEL-codes: C63 O10 P16 Q00 Q4 Q5 (search for similar items in EconPapers)
Date: 2017-09
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Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Actors, decision-making, and institutions in quantitative system modelling (2020)
Working Paper: Actors, Decision-making, and Institutions in Quantitative System Modelling (2017)
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