De Cian, Enrica
[Author];
Dasgupta, Shouro
[Author];
Hof, Andries F.
[Author];
van Sluisveld, Mariësse A. E.
[Author];
Köhler, Jonathan Hugh
[Author];
Pfluger, Benjamin
[Author];
van Vuuren, Detlef P.
[Author]
Actors, Decision-making, and Institutions in Quantitative System Modelling
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Media type:
E-Book;
Report
Title:
Actors, Decision-making, and Institutions in Quantitative System Modelling
Contributor:
De Cian, Enrica
[Author];
Dasgupta, Shouro
[Author];
Hof, Andries F.
[Author];
van Sluisveld, Mariësse A. E.
[Author];
Köhler, Jonathan Hugh
[Author];
Pfluger, Benjamin
[Author];
van Vuuren, Detlef P.
[Author]
imprint:
Milano: Fondazione Eni Enrico Mattei (FEEM), 2017
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
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.