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Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best-worst choice modeling in Florida USA

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dc.creatorSoto, José R.spa
dc.creatorAdams, Damian C.spa
dc.creatorEscobedo, Francisco J.spa
dc.date.accessioned2020-05-26T00:08:17Z
dc.date.available2020-05-26T00:08:17Z
dc.date.created2016spa
dc.description.abstractLittle 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.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.forpol.2015.12.004
dc.identifier.issn13899341
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24073
dc.language.isoengspa
dc.publisherElsevierspa
dc.relation.citationEndPage42
dc.relation.citationStartPage35
dc.relation.citationTitleForest Policy and Economics
dc.relation.citationVolumeVol. 63
dc.relation.ispartofForest Policy and Economics, ISSN:13899341, Vol.63,(2016); pp. 35-42spa
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=bfe0eaf9424320e4b3d21d83b39d010bspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordC (programming language)spa
dc.subject.keywordEconomicsspa
dc.subject.keywordBest-worst scalingspa
dc.subject.keywordCarbon offsetsspa
dc.subject.keywordChoice modelspa
dc.subject.keywordDiscrete choicespa
dc.subject.keywordNonindustrial private forestsspa
dc.subject.keywordWillingness to acceptspa
dc.subject.keywordForestryspa
dc.subject.keywordBest-worst scalingspa
dc.subject.keywordCarbon offsetsspa
dc.subject.keywordChoice modelingspa
dc.subject.keywordDiscrete choicespa
dc.subject.keywordNon-industrial private forestspa
dc.subject.keywordWillingness to acceptspa
dc.titleLandowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best-worst choice modeling in Florida USAspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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