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A global meta-analysis of groundwater quality valuation studies

  • Roy Brouwer*
  • , Noémie Neverre
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

A global meta-analysis consisting of almost three decades of groundwater quality valuation studies is presented. New in this study is the focus on the uncertainties surrounding different groundwater quality levels and the control included for groundwater contaminants originating from agriculture and other sources. Separate meta-regression models are estimated for the USA, Europe and the World, detecting sensitivity to scope and reference dependence. Public willingness to pay appears more sensitive to uncertainty in the baseline scenario than in the policy scenario. The high explanatory power of the estimated meta-regression models and low prediction errors provide confidence in their usefulness for reliable benefits transfer.

Original languageEnglish
Pages (from-to)893-932
Number of pages40
JournalEuropean Review of Agricultural Economics
Volume47
Issue number3
Early online date3 Dec 2018
DOIs
Publication statusPublished - Jul 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • groundwater
  • meta-analysis
  • non-market valuation

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