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dc.contributor.authorBateman, IJ
dc.contributor.authorKling, CL
dc.date.accessioned2020-07-16T14:25:57Z
dc.date.issued2020-08-19
dc.description.abstractThis article provides an introduction to the symposium on best practices for using revealed preference methods for nonmarket valuation. Nonmarket valuation is an essential tool in the benefit-cost analysis of environmental goods and services. Here we identify the role of benefitcost analysis in several key U.S. Executive Orders, U.K. appraisals, and E.U. Directives that inform decision making concerning regulatory oversight. We describe the evolution of key mandates over the last three decades and discuss some examples of how the analyses performed under these mandates have impacted regulatory outcomes.en_GB
dc.identifier.citationVol. 14 (2), pp. 240–259en_GB
dc.identifier.doi10.1093/reep/reaa009
dc.identifier.urihttp://hdl.handle.net/10871/121983
dc.language.isoenen_GB
dc.publisherOxford University Press (OUP) / Association of Environmental and Resource Economistsen_GB
dc.rights.embargoreasonUnder embargo until 19 August 2022 in compliance with publisher policyen_GB
dc.rights© The Author(s) 2020. Published by Oxford University Press on behalf of the Association of Environmental and Resource Economists. All rights reserved. For permissions, please email: journals.permissions@oup.com
dc.titleRevealed preference approaches for nonmarket valuation methods that inform environmental policy: Introducing best practicesen_GB
dc.typeArticleen_GB
dc.date.available2020-07-16T14:25:57Z
dc.identifier.issn1750-6816
dc.descriptionThis is the author accepted manuscript. The final version is available from Oxford University Press via the DOI in this recorden_GB
dc.identifier.journalReview of Environmental Economics and Policyen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2020-06-05
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-06-05
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-07-16T12:02:02Z
refterms.versionFCDAM
refterms.dateFOA2022-08-18T23:00:00Z
refterms.panelCen_GB


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