Literature DB >> 27538249

The income elasticity of Willingness-To-Pay (WTP) revisited: A meta-analysis of studies for restoring Good Ecological Status (GES) of water bodies under the Water Framework Directive (WFD).

Emmanouil Tyllianakis1, Dimitris Skuras2.   

Abstract

The income elasticity of Willingness-To-Pay (WTP) is ambiguous and results from meta-analyses are disparate. This may be because the environmental good or service to be valued is very broadly defined or because the income measured in individual studies suffers from extensive non-reporting or miss reporting. The present study carries out a meta-analysis of WTP to restore Good Ecological Status (GES) under the Water Framework Directive (WFD). This environmental service is narrowly defined and its aims and objectives are commonly understood among the members of the scientific community. Besides income reported by the individual studies, wealth and income indicators collected by Eurostat for the geographic entities covered by the individual studies are used. Meta-regression analyses show that income is statistically significant, explains a substantial proportion of WTP variability and its elasticity is considerable in magnitude ranging from 0.6 to almost 1.7. Results are robust to variations in the sample of the individual studies participating in the meta-analysis, the econometric approach and the function form of the meta-regression. The choice of wealth or income measure is not that important as it is whether this measure is Purchasing Power Parity (PPP) adjusted among the individual studies.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Keywords:  Good Ecological Status; Income elasticity of WTP; Meta-analysis; Meta-regression; WFD

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Year:  2016        PMID: 27538249     DOI: 10.1016/j.jenvman.2016.08.012

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


  1 in total

1.  Assessing willingness to pay for water during the COVID-19 crisis in Ugandan households.

Authors:  Jotham Ivan Sempewo; Peter Kisaakye; John Mushomi; Martin Dahlin Tumutungire; Ronald Ekyalimpa
Journal:  Soc Sci Humanit Open       Date:  2021-11-15
  1 in total

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