Show simple item record

dc.contributor.authorBadura, T
dc.contributor.authorFerrini, S
dc.contributor.authorBurton, M
dc.contributor.authorBinner, A
dc.contributor.authorBateman, IJ
dc.date.accessioned2019-09-19T09:15:22Z
dc.date.issued2019-08-01
dc.description.abstractUnderstanding how the value of environmental goods and services is influenced by their location relative to where people live can help identify the economically optimal spatial distribution of conservation interventions across landscapes. However, capturing these spatial relationships within the confines of a stated preference study has proved challenging. We propose and implement a novel approach to incorporating space within the design and presentation of stated preference choice experiments (CE). Using an investigation of preferences concerning land use change in Great Britain, CE scenarios are presented through individually generated maps, tailored to each respondent’s home location. Each choice situation is generated in real time and is underpinned by spatially tailored experimental designs that reflect current British land uses and incorporate locational attributes relating to physical and administrative dimensions of space. To the best of our knowledge, this represents the first CE study to integrate space into both the survey design and presentation of choice tasks in this way. Presented methodology provides means for testing how presentation of spatial information influence stated preferences. We contrast our spatially explicit (mapped) approach with a commonly applied tabular CE approach finding that the former exhibits a number of desirable characteristics relative to the latter.en_GB
dc.description.sponsorshipSchool of Environmental Sciences, University of East Angliaen_GB
dc.description.sponsorshipSouth West Partnership for Environment and Economic Prosperity (SWEEP)en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationPublished online 1 August 2019en_GB
dc.identifier.doi10.1007/s10640-019-00358-3
dc.identifier.grantnumberNE/P004970/1en_GB
dc.identifier.grantnumberNE/P011217/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/38812
dc.language.isoenen_GB
dc.publisherSpringer for European Association of Environmental and Resource Economistsen_GB
dc.rights© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en_GB
dc.subjectChoice experimenten_GB
dc.subjectDistance decayen_GB
dc.subjectEconomic valuationen_GB
dc.subjectMapsen_GB
dc.subjectSpatial and temporal issuesen_GB
dc.subjectSpatial heterogeneityen_GB
dc.subjectStated preferencesen_GB
dc.subjectSurvey designen_GB
dc.titleUsing Individualised Choice Maps to Capture the Spatial Dimensions of Value Within Choice Experimentsen_GB
dc.typeArticleen_GB
dc.date.available2019-09-19T09:15:22Z
dc.identifier.issn0924-6460
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this record.en_GB
dc.identifier.journalEnvironmental and Resource Economicsen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-06-24
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-06-24
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-09-19T09:12:54Z
refterms.versionFCDVoR
refterms.dateFOA2019-09-19T09:15:32Z
refterms.panelCen_GB


Files in this item

This item appears in the following Collection(s)

Show simple item record

© The Author(s) 2019.
Open Access.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's licence is described as © The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.