EconPapers    
Economics at your fingertips  
 

Degrowth dynamics: Modelling policy proposals with system dynamics

Ivan Đula, Nuno Videira and Andreas Größler

Journal of Simulation, 2021, vol. 15, issue 1-2, 93-129

Abstract: Degrowth is most commonly defined as a socially sustainable and equitable reduction (and eventually stabilisation) of society’s throughput. Throughput refers to the materials and energy that society extracts, processes, transports, and distributes, in order to consume and return back to the environment as waste. This paper builds on well-established ideas of the degrowth community and explores policy proposals from a system dynamics perspective. To better understand the underlying causal structure, it was necessary to go beyond the information available in the literature. Experts in the field of degrowth were contacted by means of an online questionnaire and the information collected was analysed and used to develop a simulation model which we employed to study potential impacts of implementing degrowth policies in developed countries. Simulation results confirm many of the experts’ predictions but also point to some unexpected consequences which would need to be addressed if these policies are to be seriously considered in the future.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/17477778.2019.1646108 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:15:y:2021:i:1-2:p:93-129

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20

DOI: 10.1080/17477778.2019.1646108

Access Statistics for this article

Journal of Simulation is currently edited by Christine Currie

More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tjsmxx:v:15:y:2021:i:1-2:p:93-129