Literature DB >> 22562008

Benefit transfer and spatial heterogeneity of preferences for water quality improvements.

J Martin-Ortega1, R Brouwer, E Ojea, J Berbel.   

Abstract

The improvement in the water quality resulting from the implementation of the EU Water Framework Directive is expected to generate substantial non-market benefits. A wide spread estimation of these benefits across Europe will require the application of benefit transfer. We use a spatially explicit valuation design to account for the spatial heterogeneity of preferences to help generate lower transfer errors. A map-based choice experiment is applied in the Guadalquivir River Basin (Spain), accounting simultaneously for the spatial distribution of water quality improvements and beneficiaries. Our results show that accounting for the spatial heterogeneity of preferences generally produces lower transfer errors.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22562008     DOI: 10.1016/j.jenvman.2012.03.031

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


  3 in total

1.  Economic feasibility study for improving drinking water quality: a case study of arsenic contamination in rural Argentina.

Authors:  María Molinos-Senante; Alejo Perez Carrera; Francesc Hernández-Sancho; Alicia Fernández-Cirelli; Ramón Sala-Garrido
Journal:  Ecohealth       Date:  2014-06-13       Impact factor: 3.184

2.  Spatial prioritization of willingness to pay for ecosystem services. A novel notion of distance from origin's impression.

Authors:  Sufyan Ullah Khan; Guobin Liu; Minjuan Zhao; Hsiaoping Chien; Qian Lu; Arshad Ahmad Khan; Muhammad Abu Sufyan Ali
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-14       Impact factor: 4.223

3.  Public Attitudes, Preferences and Willingness to Pay for River Ecosystem Services.

Authors:  Imran Khan; Hongdou Lei; Gaffar Ali; Shahid Ali; Minjuan Zhao
Journal:  Int J Environ Res Public Health       Date:  2019-10-01       Impact factor: 3.390

  3 in total

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