Please use this identifier to cite or link to this item: http://hdl.handle.net/10532/4945
Title: The Groundwater Demand for Industrial Uses in Areas with Access to Drinking Publicly-Supplied Water: A Microdata Analysis
Authors: Gracia de Rentería, María Pilar
Barberán Ortí, Ramón
Mur, Jesús
Issue Date: 2020
Citation: Water, vol. 12, num. 1, (2020)
Abstract: This study examines, from an economic perspective, the factors influencing the decision of companies to use groundwater or not, in a context in which they have access to drinking publicly-supplied water and can also opt for self-supplying groundwater, and then estimates its groundwater demand. The Heckman two-stage model is applied, using microdata of a sample of 2579 manufacturing and service companies located in Zaragoza (Spain). The results of the first stage show that companies have economically rational behavior in the choice of their water supply sources: the probability to capture groundwater depends negatively on its cost and positively on the cost of publicly-supplied water. The results of the second stage indicate that the demand for self-supplied groundwater is normal, but inelastic (elasticity of −0.50), and that self-supplied and publicly-supplied water are substitutive inputs, where the cross-elasticity of the demand is much higher than the direct elasticity. These results warn of the undesirable consequences, on overall efficiency and environmental sustainability, of the lack of a volumetric fee that charges companies with the environmental and resource costs caused by the extraction of groundwater and emphasize the need for integrated management of all water resources.
URI: http://hdl.handle.net/10532/4945
License: http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Appears in Collections:[DOCIART] Artículos científicos, técnicos y divulgativos

Files in This Item:
File Description SizeFormat 
2020_019.pdf523 kBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons

La información de este repositorio es indexada en: