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dc.contributor.authorCzajkowski, Mikołaj
dc.contributor.authorBudziński, Wiktor
dc.contributor.authorCampbell, Danny
dc.contributor.authorGiergiczny, Marek
dc.contributor.authorHanley, Nick
dc.date.accessioned2016-07-22T16:30:06Z
dc.date.available2016-07-22T16:30:06Z
dc.date.issued2017-11
dc.identifier.citationCzajkowski , M , Budziński , W , Campbell , D , Giergiczny , M & Hanley , N 2017 , ' Spatial heterogeneity of willingness to pay for forest management ' Environmental and Resource Economics , vol. 68 , no. 3 , pp. 705-727 . https://doi.org/10.1007/s10640-016-0044-0en
dc.identifier.issn0924-6460
dc.identifier.otherPURE: 244483435
dc.identifier.otherPURE UUID: 7e5d78a1-b5d7-4145-a52e-f65a15bdbf1b
dc.identifier.otherScopus: 84978152381
dc.identifier.urihttp://hdl.handle.net/10023/9197
dc.descriptionThis study was carried out as a part of the POLFOREX project (“Forest as a public good. Evaluation of social and environmental benefits of forests in Poland to improve management efficiency”; PL0257) funded by EEA Financial Mechanism, Norwegian Financial Mechanism and Polish Ministry of Science and Higher Education. Funding support is gratefully acknowledged.en
dc.description.abstractThe paper investigates the spatial heterogeneity of public’s preferences for the implementation of a new country-wide forest management and protection program in Poland. Spatial econometric methods and high resolution geographical information system data related to forest characteristics are used to explain the variation in individual-specific willingness to pay (WTP) values, derived from a discrete choice experiment study. We find that respondents’ WTP is higher the closer they live to their nearest forest, and the scarcer forests are in the area where they live. Interestingly, the higher the ecological value of forests in respondents’ area, the more people prefer extending areas of national forest protection. We also investigate spatial patterns in individual-specific WTP scores and in latent class membership probabilities, finding that preferences are indeed spatially clustered. We argue that this clustering should be taken into account in forest management and policy-making.
dc.format.extent23
dc.language.isoeng
dc.relation.ispartofEnvironmental and Resource Economicsen
dc.rights© The Author(s) 2016. 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
dc.subjectContingent valuationen
dc.subjectDiscrete choice experimenten
dc.subjectForest managementen
dc.subjectKrigingen
dc.subjectLitteren
dc.subjectMixed logiten
dc.subjectPassive protectionen
dc.subjectSpatial heterogeneity of preferencesen
dc.subjectSpatial-lagen
dc.subjectTourist infrastructureen
dc.subjectWillingness to payen
dc.subjectGE Environmental Sciencesen
dc.subjectHD Industries. Land use. Laboren
dc.subjectManagement, Monitoring, Policy and Lawen
dc.subjectAerospace Engineeringen
dc.subjectNDASen
dc.subject.lccGEen
dc.subject.lccHDen
dc.titleSpatial heterogeneity of willingness to pay for forest managementen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Geography & Sustainable Developmenten
dc.identifier.doihttps://doi.org/10.1007/s10640-016-0044-0
dc.description.statusPeer revieweden


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