Water in computable general equilibrium models: Review, synthesis and avenues for future research

Water-extended Computable General Equilibrium (CGE) models are a class of economy-wide models widely used as tools to address research and policy questions for various water-related topics. This systematic review analyses 100 applications of water-CGE models , categorising them into key areas based on their structure and aims, including agricultural, industrial, combination of agricultural and industrial, energy, and combination of energy and agriculture, to examine the methodological approaches of incorporating water into CGE models, and to explore the various themes of the applications. Findings suggest that improvements in incorporating water in CGE models require improvements in the quality and detail of water data, explicitly specifying water as a factor of production, constructing models at smaller spatial scales, accounting for water seasonality, and improving transparency of calibration and validation methods. Addressing these challenges will enhance the representation of water in CGE models that can provide critical insights in addressing water-economy interconnections. • Systematically reviews current applications of water-extended CGE models. • Categorises water-CGE models into key areas by structure and aim. • Identifies methodological gaps in water integration in CGE modelling. • Recommends finer spatial scale and seasonal water data in models. • Highlights the need for water as an explicit production factor.

Authors

Institutions

Publication Details

Journal
Environmental Modelling & Software
Published
2025-12-19
DOI
https://doi.org/10.1016/j.envsoft.2025.106839
Citations
1
Primary Topic
Water-Energy-Food Nexus Studies
Type
article
Field-Weighted Citation Impact
0.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Water in computable general equilibrium models: Review, synthesis and avenues for future research

Gioele Figus, Scott J. McGrane, Cecilia Tortajada, Saba Al Hosni
1 citations
Environmental Modelling & Software
Water-Energy-Food Nexus Studies
0.82
article

Water in computable general equilibrium models: Review, synthesis and avenues for future research

Gioele Figus, Scott J. McGrane, Cecilia Tortajada, Saba Al Hosni
article en
1 citations

Abstract

Water-extended Computable General Equilibrium (CGE) models are a class of economy-wide models widely used as tools to address research and policy questions for various water-related topics. This systematic review analyses 100 applications of water-CGE models , categorising them into key areas based on their structure and aims, including agricultural, industrial, combination of agricultural and industrial, energy, and combination of energy and agriculture, to examine the methodological approaches of incorporating water into CGE models, and to explore the various themes of the applications. Findings suggest that improvements in incorporating water in CGE models require improvements in the quality and detail of water data, explicitly specifying water as a factor of production, constructing models at smaller spatial scales, accounting for water seasonality, and improving transparency of calibration and validation methods. Addressing these challenges will enhance the representation of water in CGE models that can provide critical insights in addressing water-economy interconnections. • Systematically reviews current applications of water-extended CGE models. • Categorises water-CGE models into key areas by structure and aim. • Identifies methodological gaps in water integration in CGE modelling. • Recommends finer spatial scale and seasonal water data in models. • Highlights the need for water as an explicit production factor.

Environmental Modelling & SoftwareVol. 197
University of Strathclyde (GB), University of Glasgow (GB), Stanford University (US)
Openalex Percentile: Top 20%
Water-Energy-Food Nexus Studies
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.