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dc.creatorSoto, José R. 
dc.creatorAdams, Damian C. 
dc.creatorEscobedo, Francisco J. 
dc.date.accessioned2020-05-26T00:08:17Z
dc.date.available2020-05-26T00:08:17Z
dc.date.created2016
dc.identifier.issn13899341
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24073
dc.description.abstract"Little is known about institutional preferences and barriers for non-industrial private forest landowner participation in carbon (C) offset programs - factors that influence participation in such programs. To address this, we used Florida (U.S.) as a case study, and identified barriers to forest landowner participation in a hypothetical carbon-offset program and landowner willingness-to-accept compensation for enrollment. Preferences were elicited via survey methods and a recent innovation to best-worst scaling (BWS), called best-worst choice (BWC), which retains the analytical features of scaling while enabling measurements in a traditional discrete-choice framework. Results indicate that NIPF landowners are more influenced by revenue than early withdrawal penalty or contract duration, but will exchange revenue for other contract features. We estimate that programs offering $20 or $30 per-acre-per-year have significantly stronger impacts on enrollment than $5 or $10. The least preferred feature was a 100-year commitment. Overall our BWC approach is novel in that it circumvents BWS' limitation by providing an ability to estimate actual willingness-to-pay/accept. The U.S. has a new policy to cut 32% of 2005 power plant carbon emissions by 2030 and allow forest C offsets. Thus, results can also be used to inform state-level policies that compensate landowners for capturing C emissions. © 2015 Elsevier B.V."
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.relation.ispartofForest Policy and Economics, ISSN:13899341, Vol.63,(2016); pp. 35-42
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84955304826&doi=10.1016%2fj.forpol.2015.12.004&partnerID=40&md5=bfe0eaf9424320e4b3d21d83b39d010b
dc.sourceinstname:Universidad del Rosario
dc.sourcereponame:Repositorio Institucional EdocUR
dc.titleLandowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best-worst choice modeling in Florida USA
dc.typearticle
dc.publisherElsevier
dc.subject.keywordC (programming language)
dc.subject.keywordEconomics
dc.subject.keywordBest-worst scaling
dc.subject.keywordCarbon offsets
dc.subject.keywordChoice model
dc.subject.keywordDiscrete choice
dc.subject.keywordNonindustrial private forests
dc.subject.keywordWillingness to accept
dc.subject.keywordForestry
dc.subject.keywordBest-worst scaling
dc.subject.keywordCarbon offsets
dc.subject.keywordChoice modeling
dc.subject.keywordDiscrete choice
dc.subject.keywordNon-industrial private forest
dc.subject.keywordWillingness to accept
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.type.spaArtículo
dc.rights.accesoAbierto (Texto Completo)
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doihttps://doi.org/10.1016/j.forpol.2015.12.004
dc.relation.citationEndPage42
dc.relation.citationStartPage35
dc.relation.citationTitleForest Policy and Economics
dc.relation.citationVolumeVol. 63


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