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    <titleInfo>
        <title>A global meta-analysis of groundwater quality valuation studies</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Roy</namePart>
        <namePart type="family">Brouwer</namePart>
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    <name type="personal">
        <namePart type="given">Noémie</namePart>
        <namePart type="family">Neverre</namePart>
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            <title>European Review of Agricultural Economics, Volume 47, Issue 3</title>
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            <issuance>continuing</issuance>
            <publisher>Oxford University Press (OUP)</publisher>
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        <genre authority="marcgt">periodical</genre>
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    <abstract>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.</abstract>
    <identifier type="citekey">Brouwer-2018-A</identifier>
    <identifier type="doi">10.1093/erae/jby043</identifier>
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        <url>https://gwf-uwaterloo.github.io/gwf-publications/G18-22001</url>
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    <part>
        <date>2018</date>
        <detail type="volume"><number>47</number></detail>
        <detail type="issue"><number>3</number></detail>
        <extent unit="page">
            <start>893</start>
            <end>932</end>
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%0 Journal Article
%T A global meta-analysis of groundwater quality valuation studies
%A Brouwer, Roy
%A Neverre, Noémie
%J European Review of Agricultural Economics, Volume 47, Issue 3
%D 2018
%V 47
%N 3
%I Oxford University Press (OUP)
%F Brouwer-2018-A
%X 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.
%R 10.1093/erae/jby043
%U https://gwf-uwaterloo.github.io/gwf-publications/G18-22001
%U https://doi.org/10.1093/erae/jby043
%P 893-932

Markdown (Informal)

[A global meta-analysis of groundwater quality valuation studies](https://gwf-uwaterloo.github.io/gwf-publications/G18-22001) (Brouwer & Neverre, GWF 2018)

• A global meta-analysis of groundwater quality valuation studies (Brouwer & Neverre, GWF 2018)

ACL

• Roy Brouwer and Noémie Neverre. 2018. A global meta-analysis of groundwater quality valuation studies. European Review of Agricultural Economics, Volume 47, Issue 3, 47(3):893–932.