A dynamic micro-macro-economic model to assess water charging policies

This paper presents an integrated and dynamic coupling of micro- and macro-economic models for water resources management. As compared to conventional static micro-macro-economic coupling designs, the dynamic coupling produces time-variant assessments of endogenous (e.g., dynamics and impacts of capital accumulation) and exogenous variables (e.g., impacts of policy shifts or market trends over time). Methods are illustrated with an application to the Castile and León Region in Spain, where we: 1) assess the performance of two hypothetical water charging policies (one-time charge adjustment v. Incremental charges), and 2) compare the simulation results obtained with the proposed dynamic coupling to those obtained using two conventional static models. A key finding is that simulations under the dynamic coupling attribute lower effectiveness to water charges in reducing water use over time: 47% and -24% (dynamic coupling) water use change at the beginning and end of the simulation period vs. -46% (static coupling). Additionally, an incremental water charge has a greater economic impact than a one-time adjustment, resulting in a peak profit reduction of -8.9% compared to -5.9% under the one-time charge. Our results highlight the relevance of accounting for dynamic micro-macro-economic dynamic feedback in water policy design.

Authors

Institutions

Publication Details

Journal
Journal of Cleaner Production
Published
2026-02-19
DOI
https://doi.org/10.1016/j.jclepro.2026.147802
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A dynamic micro-macro-economic model to assess water charging policies

Francesco Sapino, Ramiro Parrado, C. Dionisio Pérez-Blanco
Journal of Cleaner Production
Water resources management and optimization
article

A dynamic micro-macro-economic model to assess water charging policies

Francesco Sapino, Ramiro Parrado, C. Dionisio Pérez-Blanco
article en

Abstract

This paper presents an integrated and dynamic coupling of micro- and macro-economic models for water resources management. As compared to conventional static micro-macro-economic coupling designs, the dynamic coupling produces time-variant assessments of endogenous (e.g., dynamics and impacts of capital accumulation) and exogenous variables (e.g., impacts of policy shifts or market trends over time). Methods are illustrated with an application to the Castile and León Region in Spain, where we: 1) assess the performance of two hypothetical water charging policies (one-time charge adjustment v. Incremental charges), and 2) compare the simulation results obtained with the proposed dynamic coupling to those obtained using two conventional static models. A key finding is that simulations under the dynamic coupling attribute lower effectiveness to water charges in reducing water use over time: 47% and -24% (dynamic coupling) water use change at the beginning and end of the simulation period vs. -46% (static coupling). Additionally, an incremental water charge has a greater economic impact than a one-time adjustment, resulting in a peak profit reduction of -8.9% compared to -5.9% under the one-time charge. Our results highlight the relevance of accounting for dynamic micro-macro-economic dynamic feedback in water policy design.

Journal of Cleaner ProductionVol. 547
Ca' Foscari University of Venice (IT), RFF-CMCC European Institute on Economics and the Environment (IT), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT), IMDEA Water (ES)
Clean water and sanitation
Openalex Percentile: Top 52%
Water resources management and optimization
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.