Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/177240 
Year of Publication: 
2017
Series/Report no.: 
Working Paper No. 046.2017
Publisher: 
Fondazione Eni Enrico Mattei (FEEM), Milano
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.
Subjects: 
Modelling
Transition Pathways
Scenarios
Institutions
Governance
JEL: 
C63
O10
P16
Q00
Q4
Q5
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.