Literature DB >> 23681358

Land use impact on water quality: valuing forest services in terms of the water supply sector.

Julien Fiquepron1, Serge Garcia, Anne Stenger.   

Abstract

The aim of this paper is to quantify the impact of the forest on raw water quality within the framework of other land uses. On the basis of measurements of quality parameters that were identified as being the most problematic (i.e., pesticides and nitrates), we modeled how water quality is influenced by land uses. In order to assess the benefits provided by the forest in terms of improved water quality, we used variations of drinking water prices that were determined by the operating costs of water supply services (WSS). Given the variability of links between forests and water quality, we chose to cover all of France using data observed in each administrative department (France is divided into 95 départements), including a description of WSS and information on land uses. We designed a model that describes the impact of land uses on water quality, as well as the operation of WSS and prices. This bioeconomic model was estimated by the generalized method of moments (GMM) to account for endogeneity and heteroscedasticity issues. We showed that the forest has a positive effect on raw water quality compared to other land uses, with an indirect impact on water prices, making them lower for consumers.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23681358     DOI: 10.1016/j.jenvman.2013.04.002

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Economic Support for Decisions on Source Water Protection

Authors:  James I Price; Matthew T Heberling; Christopher T Nietch
Journal:  J Am Water Works Assoc       Date:  2018-08-31

2.  The Effects of Source Water Quality on Drinking Water Treatment Costs: A Review and Synthesis of Empirical Literature.

Authors:  James I Price; Matthew T Heberling
Journal:  Ecol Econ       Date:  2018-09-03       Impact factor: 5.389

  2 in total

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