A review of macroeconomic models for the WEFE nexus assessment

Chiara Castelli, Marta Castellini, Emanuele Ciola, Camilla Gusperti, Ilenia Gaia Romani and Sergio Vergalli

No 329519, FEEM Working Papers from Fondazione Eni Enrico Mattei (FEEM)

Abstract: The Water, Energy, Food and Ecosystems (WEFE) nexus refers to the system of complex and highly non-linear interconnections between these four elements. It now represents the basic framework to assess and design policies characterized by an holistic environmental end economical perspective. In this work, we provide a systematic review of the macroeconomic models investigating its components as well as combinations of them and their interlinkages with the economic system. We focus on four different types of macroeconomic models: Computable General Equilibrium (CGE) models, Integrated Assessment Models (IAMs), Agent-based Models (ABMs), and Dynamic Stochastic General Equilibrium (DSGE) models. On the basis of our review, we find that the structure of IAMs is currently the most used to represent the nexus complexity, while DSGE models focus only on single components but appear to be better suited to account for the randomization of exogenous shocks. CGE models and ABMs could be more effective on the side of the policy perspective. Indeed, the former can account for interlinkages across sectors and countries, while the latter can define theoretical frameworks that better approximate reality.

Keywords: Environmental Economics and Policy; Land Economics/Use; Research Methods/ Statistical Methods; Resource/Energy Economics and Policy (search for similar items in EconPapers)
Pages: 46
Date: 2022-11-28
New Economics Papers: this item is included in nep-cmp, nep-dge, nep-ene, nep-env and nep-hme
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https://ageconsearch.umn.edu/record/329519/files/NDL2022-035.pdf (application/pdf)

Related works:
Working Paper: A review of macroeconomic models for the WEFE nexus assessment (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:feemwp:329519

DOI: 10.22004/ag.econ.329519

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