Fiche du document
1 juillet 2016
- handle: 10670/1.8hlbxj
- hal: hal-03459291
- SCIENCESPO: 2441/5qr7f0k4sk8rbq4do5u6v70rm0
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/hdl/2441/5qr7f0k4sk8rbq4do5u6v70rm0
info:eu-repo/semantics/OpenAccess
Mots-clés
Climate change Climate policy Climate economics Complex systems Agent-based models Socio-economics networks C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation Modeling Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q40 - General Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q50 - General Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q54 - Climate • Natural Disasters and Their Management • Global WarmingSujets proches
Economic theory Political economyCiter ce document
Tomas Balint et al., « Complexity and the Economics of Climate Change: a Survey and a Look Forward », Archive ouverte de Sciences Po (SPIRE), ID : 10670/1.8hlbxj
Métriques
Partage / Export
Résumé
We provide a survey of the micro and macro economics of climate change from a complexity science perspective and we discuss the challenges ahead for this line of research. We identify four areas of the literature where complex system models have already produced valuable insights: (i) coalition formation and climate negotiations, (ii) macroeconomic impacts of climate-related events, (iii) energy markets and (iv) diffusion of climate-friendly technologies. On each of these issues, accounting for heterogeneity, interactions and disequilibrium dynamics provides a complementary and novel perspective to the one of standard equilibrium models. Furthermore, it highlights the potential economic benefits of mitigation and adaptation policies and the risk of under-estimating systemic climate change-related risks.