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dc.contributor.authorNiedermayr, Andreas
dc.contributor.authorSchaller, Lena
dc.contributor.authorMariel Chladkova, Petr ORCID
dc.contributor.authorKieninger, Pia
dc.contributor.authorKantelhardt, Jochen
dc.date.accessioned2019-03-06T14:35:24Z
dc.date.available2019-03-06T14:35:24Z
dc.date.issued2018-06
dc.identifier.citationSustainability 10(6) : (2017) // Article ID 2061es_ES
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10810/31895
dc.description.abstractThe aim of this paper is to elicit the marginal willingness to pay (MWTP) for the improved provision of public goods (PGs) by agriculture in a region of intensive agricultural production, embodying many of the environmental problems related to agriculture within and outside the European Union (EU). Our analysis was based on a participatory approach, combining the involvement of local stakeholders and a discrete choice experiment (DCE) in the Marchfeld region in Austria. We estimated a random parameters logit model (RPL), including interactions with socio-demographic factors, to disentangle preference heterogeneity and find a positive MWTP of the local population for all three PGs analyzed: (i) groundwater quality; (ii) landscape quality; and (iii) soil functionality in connection with climate stability. Furthermore, MWTP varies considerably with respect to age, farmers/non-farmers and locals/incomers. Further research could combine the results of this demand-side valuation with those of a supply-side valuation, where the opportunity costs of different management options for farmers are estimated. Based on such a cost-benefit analysis and further participation of local stakeholders, new governance mechanisms for the smart and sustainable provision of PGs by agriculture could be developed for the Marchfeld region and for comparable European regions.es_ES
dc.description.sponsorshipThe project for which the DCE was carried out (PROVIDE) received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant Agreement No. 633838). This work does not necessarily reflect the view of the EU and in no way anticipates the Commission's future policy. The third author also acknowledges financial support from the Spanish Ministry of Economy and Competitiveness through Grant ECO2017-82111-R and the Basque Government through Grant IT-642-13.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/ECO2017-82111-Res_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/633838es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectdiscrete choice experimentes_ES
dc.subjectrandom parameters logit modeles_ES
dc.subjectpreference heterogeneityes_ES
dc.subjectwillingness to payes_ES
dc.subjectpublic goodses_ES
dc.subjectagriculturees_ES
dc.subjectecosystem serviceses_ES
dc.subjectchoice experimentses_ES
dc.subjectstated preferencees_ES
dc.subjectcontingent valuationes_ES
dc.subjectbiodiversity conservationes_ES
dc.subjectlandscape featureses_ES
dc.subjectsoil conservationes_ES
dc.subjectsocial benefitses_ES
dc.subjectclimate-changees_ES
dc.subjectqualityes_ES
dc.titleHeterogeneous Preferences for Public Goods Provided by Agriculture in a Region of Intensive Agricultural Production: The Case of the Marchfeldes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/10/6/2061es_ES
dc.identifier.doi10.3390/su10062061
dc.contributor.funderEuropean Commission
dc.departamentoesEconomía aplicada III (Econometría y Estadística)es_ES
dc.departamentoeuEkonomia aplikatua III (ekonometria eta estatistika)es_ES


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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Except where otherwise noted, this item's license is described as This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).