Back to Search Start Over

Micro-macro feedback links of agricultural water management: Insights from a coupled iterative positive Multi-Attribute Utility Programming and Computable General Equilibrium model in a Mediterranean basin.

Authors :
Parrado, Ramiro
Pérez-Blanco, C. Dionisio
Gutiérrez-Martín, C.
Standardi, Gabriele
Source :
Journal of Hydrology. Feb2019, Vol. 569, p291-309. 19p.
Publication Year :
2019

Abstract

Highlights • Most water conservation policies will target agriculture. • Farmers will adapt, affecting agricultural outputs and propagating the shock economy-wide. • This will in turn affect commodity prices and irrigators will reassess their choices. • Modeling water rationing impacts needs to account for two-way micro-macro feedbacks. • To this end, we develop an iterative coupling between a micro and a macro model. • The iterative coupling presents non-trivial differences compared to conventional modeling approaches. Abstract Most water conservation policies will target agriculture, the largest human consumptive use and that concentrating the marginal (i.e. least productive) uses of the resource. Adaptation to irrigation rationing policies at the micro level will have an impact on agricultural outputs and propagate to the rest of the economic sectors at a regional and supra-regional (macro) scale. As the economy transitions towards new equilibrium commodity prices, the relevant prices for agriculture will change and this will in turn affect irrigators' decisions. This paper proposes an iterative coupling between a decentralized, non-parametric Positive Multi-Attribute Utility Programming representation of irrigators and a regionally-calibrated Computable General Equilibrium model to assess interlinkages (i.e. two-way feedbacks) between the micro- and macro-economy. Results from an application to irrigation water charges in the Murcia Region in Spain show that the coupled micro–macro model yields lower abatement costs as compared to the stand-alone micro model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221694
Volume :
569
Database :
Academic Search Index
Journal :
Journal of Hydrology
Publication Type :
Academic Journal
Accession number :
134252642
Full Text :
https://doi.org/10.1016/j.jhydrol.2018.12.009