Complexity and the Economics of Climate Change: A Survey and a Look Forward

By Tomás Bálint, Francesco Lamperti, Antoine Mandel, Mauro Napoletano, Andrea Roventini, Alessandro Sapio. 2017

177 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/f7bb8cbd792aa1b30716ca6a7c901d6b0789c8ef

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Citations in the corpus

From financial instability to green finance: the role of banking and credit market regulation in the Eurace model (2019, background): “Balint et al. (2017) for a compressive review and Farmer et al. (2015) for a general discussion about the potential advantages of agent-based models with respect to integrated assessment models, which are the usual workhorse in the field.”
The Impact of Energy Consumption and Economic Growth on Carbon Dioxide Emissions (2020, background): “It is, therefore, not surprising that efforts are being made at the global scene to further prevent the effects of CO2 emissions by fostering a low carbon economy [1,43].”
Three green financial policies to address climate risks (2021, background): “Such strand of contributions has recently devoted a large attention to the analysis of climate impacts, energy transitions and green finance (Balint et al., 2017; Lamperti et al., 2018, 2019).”
Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model (2018, unknown): “Agent-based models (Tesfatsion and Judd, 2006; Fagiolo and Roventini, 2012, 2017) constitute a valuable and promising alternative to IAMs (Smajgl et al., 2011; Farmer et al., 2015; Stern, 2016; Mer-cure et al., 2016; Balint et al., 2017).”
Fostering green investments and tackling climate-related financial risks: Which role for macroprudential policies? (2019, methodology): “…generation of models has been developed to account for the effects of climate change on financial and economic stability (Balint et al., 2017; Fontana and Sawyer, 2016; Dafermos et al., 2017, 2018; Monasterolo and Raberto, 2018; Bovari et al., 2018; Lamperti et al., 2018).”
A review of agent‐based modeling of climate‐energy policy (2020, background): “In a survey of the economics of climate change from a complexity perspective, Balint et al. (2017) motivate the relevance of ABMs by arguing that agent heterogeneity and learning affect the speed of a transition to a low-carbon economy.”
A Financial Macro-Network Approach to Climate Policy Evaluation (2018, background): “Nevertheless, there is growing concern among academics and practitioners that neither IAMs and CGEs (Balint et al., 2017; Farmer et al., 2015; Mercure et al., 2016) nor DSGE (Romer, forthcoming; Blanchard, 2018; Haldane and Turrell, 2018; Stiglitz, 2018) are appropriate to adequately account for the”