Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27188
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dc.contributor.authorGrilli, Gianlucaen_UK
dc.contributor.authorNotaro, Sandraen_UK
dc.contributor.authorCampbell, Dannyen_UK
dc.date.accessioned2018-05-13T01:06:14Z-
dc.date.available2018-05-13T01:06:14Z-
dc.date.issued2018-09-30en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27188-
dc.description.abstractValue orientations towards wildlife affect the way people perceive nature and their connection with animals. In particular, the social psychological literature within the environmental field suggests that there are two main orientations of people towards wildlife: mutualism and domination. This body of literature has shown how wildlife value orientations can serve as predictors of attitudes and behaviours toward wildlife and form the foundation of human-wildlife conflicts. A common approach in the non-market valuation literature is to include information on attitudes and values in the deterministic part of the utility function, leading to problems of endogeneity bias. To avoid this, analysts have recently shifted their attention to approaches based on latent variables. This paper presents an application of a latent variable and latent class model, to understand how latent orientations influence choices, in a case study in the Italian Alps. The intuition is that different underlying individual value orientation affects preferences and the level of willingness to pay and should be therefore considered in choice models. The latent variable is used to explain class membership of respondents. Results indicate that the latent variable has a significant effect in class allocation and that the hybrid model performs better than a simple two class model. Results provide guidance on the social acceptability of management interventions and can support public decision-makers in the modulation of wildlife management policies for balancing the needs of conservation and outdoor recreation, explicitly considering existing human-wildlife conflicts.en_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relationGrilli G, Notaro S & Campbell D (2018) Including Value Orientations in Choice Models to Estimate Benefits of Wildlife Management Policies. Ecological Economics, 151, pp. 70-81. https://doi.org/10.1016/j.ecolecon.2018.04.035en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Grilli G, Notaro S & Campbell D (2018) Including Value Orientations in Choice Models to Estimate Benefits of Wildlife Management Policies, Ecological Economics, 151, pp. 70-81. DOI: 10.1016/j.ecolecon.2018.04.035 © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectchoice experimenten_UK
dc.subjecthybrid modelen_UK
dc.subjectvalue orientationen_UK
dc.subjectendangered speciesen_UK
dc.subjectlatent class modelen_UK
dc.titleIncluding Value Orientations in Choice Models to Estimate Benefits of Wildlife Management Policiesen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2019-05-13en_UK
dc.rights.embargoreason[Grilli et al._manuscript (1).pdf] Until this work is published there will be an embargo on the full text of this work.en_UK
dc.identifier.doi10.1016/j.ecolecon.2018.04.035en_UK
dc.citation.jtitleEcological Economicsen_UK
dc.citation.issn0921-8009en_UK
dc.citation.volume151en_UK
dc.citation.spage70en_UK
dc.citation.epage81en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emaildanny.campbell@stir.ac.uken_UK
dc.citation.date12/05/2018en_UK
dc.contributor.affiliationTrinity College, Dublinen_UK
dc.contributor.affiliationTrento Universityen_UK
dc.contributor.affiliationEconomicsen_UK
dc.identifier.isiWOS:000437078900008en_UK
dc.identifier.scopusid2-s2.0-85047013615en_UK
dc.identifier.wtid894666en_UK
dc.contributor.orcid0000-0001-7467-2318en_UK
dc.date.accepted2018-04-29en_UK
dcterms.dateAccepted2018-04-29en_UK
dc.date.filedepositdate2018-05-01en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorGrilli, Gianluca|en_UK
local.rioxx.authorNotaro, Sandra|en_UK
local.rioxx.authorCampbell, Danny|0000-0001-7467-2318en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2019-05-13en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2019-05-12en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2019-05-13|en_UK
local.rioxx.filenameGrilli et al._manuscript (1).pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0921-8009en_UK
Appears in Collections:Economics Journal Articles

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