And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model - Sciences Po Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2018

And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model

Résumé

In this work, we employ an agent-based integrated assessment model to study the likelihood of transition to green, sustainable growth in presence of climate damages. The model comprises heterogeneous fossil-fuel and renewable plants, capital- and consumption-good firms and a climate box linking greenhouse gasses emission to temperature dynamics and microeconomic climate shocks affecting labour productivity and energy demand of firms. Simulation results show that the economy possesses two statistical equilibria: a carbon-intensive lock-in and a sustainable growth path characterized by better macroeconomic performances. Once climate damages are accounted for, the likelihood of a green transition depends on the damage function employed. In particular, aggregate and quadratic damage functions overlook the impact of climate change on the transition to sustainability; to the contrary, more realistic micro-level damages are found to deeply influence the chances of a transition. Finally, we run a series of policy experiments on carbon (fossil fuel) taxes and green subsidies. We find that the effectiveness of such marketbased instruments depends on the different channels climate change affects the economy through, and complementary policies might be required to avoid carbon-intensive lock-ins.
Fichier principal
Vignette du fichier
wp2018-28-and-then-he-whasn-t-a-she-flamperti.pdf (873.23 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03443464 , version 1 (23-11-2021)

Identifiants

Citer

Francesco Lamperti, Giovanni Dosi, Mauro Napoletano, Andrea Roventini, Alessandro Sapio. And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model. 2018. ⟨hal-03443464⟩
39 Consultations
99 Téléchargements

Partager

Gmail Facebook X LinkedIn More