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dc.contributor.authorGlenk Ken
dc.contributor.authorJohnston RJen
dc.contributor.authorMeyerhoff Jen
dc.contributor.authorSagebiel Jen
dc.date.accessioned2019-01-29T10:35:51Z
dc.date.available2019-01-29T10:35:51Z
dc.date.issued2019
dc.identifier.urihttps://doi.org/10.1007/s10640-018-00311-w
dc.identifier.urihttp://hdl.handle.net/11262/11577
dc.description.abstractAn expanding literature addresses spatial dimensions related to the elicitation, estimation, interpretation and aggregation of stated preference (SP) welfare measures. Recognizing the relevance of spatial dimensions for SP welfare analysis and the breadth of associated scholarly work, this article reviews the primary methods, findings, controversies and frontiers in this important area of contemporary research. This review is grounded in a typology that characterizes analytical methods based on theoretical foundations and the type of statistical modelling applied. The resulting interpretive appraisal seeks to (1) summarize and contrast different theoretical arguments and points of departure within the spatial SP literature, (2) synthesize findings, insights and methods from the literature to promote a more holistic perspective on the treatment of spatial dimensions within SP welfare analysis, (3) evaluate and reconcile divergent approaches in terms of theoretical grounding, ability to identify relevant empirical effects, and relevance for SP valuation, and (4) discuss outstanding questions and research frontiers.en
dc.description.sponsorshipScottish Government RESAS Strategic Research Programme (RD1.4.1)en
dc.language.isoenen
dc.relation.isformatof15000en
dc.relation.ispartofEnvironmental and Resource Economicsen
dc.rights© Springer Nature B.V. 2019. This is the accepted version of the above article. The final publication is available at https://doi.org/10.1007/s10640-018-00311-w
dc.subjectDiscrete choice experimentsen
dc.subjectContingent valuationen
dc.subjectSpatial heterogeneityen
dc.subjectDistance decayen
dc.subjectSpatial dependenceen
dc.subjectSpatial autocorrelationen
dc.subjectNon-market goodsen
dc.subjectEcosystem servicesen
dc.subjectWillingness to payen
dc.subjectWillingness to accepten
dc.titleSpatial dimensions of stated preference valuation in environmental and resource economics: methods, trends and challengesen
dc.typeArticleen
dc.description.versionAccepted manuscript
rioxxterms.publicationdate2019-01-08
rioxxterms.typeJournal Article/Reviewen
dcterms.dateAccepted2018-12-14
refterms.accessExceptionNAen
refterms.dateDeposit2019-01-29
refterms.dateEmbargoEnd2020-01-08
refterms.dateFreeToDownload2020-01-08
refterms.dateFreeToRead2020-01-08
refterms.dateToSearch2020-01-08
refterms.depositExceptionNAen
refterms.panelUnspecifieden
refterms.technicalExceptionNAen
refterms.versionAMen


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