Projecting Basin-Scale Distributed Irrigation and Domestic Water Demands and Values: A Generic Method for Large-Scale Modeling

Noémie Neverre and Patrice Dumas
Additional contact information
Noémie Neverre: Centre International de Recherche sur l’Environnement et le, Développement (CIRED), Campus du Jardin Tropical, 45 bis avenue de la Belle Gabrielle, 94736 Nogent sur Marne, France†Centre National de la Recherche Scientifique (CNRS), 3 rue Michel-Ange, 75794 Paris, France‡École des Ponts ParisTech, Cité Descartes, 6-8 Avenue Blaise Pascal, 77455 Champs-sur-Marne, France
Patrice Dumas: Centre International de Recherche sur l’Environnement et le, Développement (CIRED), Campus du Jardin Tropical, 45 bis avenue de la Belle Gabrielle, 94736 Nogent sur Marne, France§Centre de coopération Internationale en Recherche, Agronomique pour le Développement (CIRAD), Avenue Agropolis, 34398 Montpellier, France

Water Economics and Policy (WEP), 2016, vol. 02, issue 04, 1-28

Abstract: This paper presents a methodology to project irrigation and domestic water demands on a regional to global scale, in terms of both quantity and economic value. Projections are distributed at the water basin scale. Irrigation water demand is projected under climate change. It is simply computed as the difference between crop potential evapotranspiration for the different stages of the growing season and available precipitation. Irrigation water economic value is based on a yield comparison approach between rainfed and irrigated crops using average yields. For the domestic sector, we project the combined effects of demographic growth, economic development and water cost evolution on future demands. The method consists in building three-part inverse demand functions in which volume limits of the blocks evolve with the level of GDP per capita. The value of water along the demand curve is determined from price-elasticity, price and demand data from the literature, using the point-expansion method, and from water cost data. This generic methodology can be easily applied to large-scale regions, in particular developing regions where reliable data are scarce. As an illustration, it is applied to Algeria, at the 2050 horizon, for demands associated to reservoirs. Our results show that domestic demand is projected to become a major water consumption sector. The methodology is meant to be integrated into large-scale hydroeconomic models, to determine inter-sectorial and inter-temporal water allocation based on economic valuation.

Keywords: Water demand projection; water value; large-scale modeling; domestic water demand; irrigation water demand (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S2382624X16500235
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wepxxx:v:02:y:2016:i:04:n:s2382624x16500235

Ordering information: This journal article can be ordered from

DOI: 10.1142/S2382624X16500235

Access Statistics for this article

Water Economics and Policy (WEP) is currently edited by Ariel Dinar

More articles in Water Economics and Policy (WEP) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().