A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Paulo Flores
Data de Publicação: 2018
Outros Autores: Nunes, Luís Catela, Beja, Pedro, Reino, Luís, Santana, Joana, Moreira, Francisco, Santos, José Lima
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1016/j.ecolecon.2017.11.011
Resumo: This study was funded by project POCI-01-0145-FEDER-016664 (PTDC/AAG-REC/5007/2014), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The study was also sponsored by the Portuguese Foundation for Science and Technology (FCT) through projects PTDC/ AGR-AAM/102300/2008 (FCOMP-01-0124-FEDER-008701) and PTDC/BIA-BIC/2203/2012 (FCOMP-01-0124-FEDER-028289), under FEDER funds through the Operational Programme for Competitiveness Factors – COMPETE and by National Funds through FCT – Foundation for Science and Technology, and grants to PFR (SFRH/BD/87530/ 2012) and JS (SFRH/BD/63566/2009). LR received support from the Portuguese Ministry of Education and Science and the European Social Fund, through FCT, under POPH – QREN – Typology 4.1 (post-doc grants SFRH/BPD/62865/2009 and SFRH/BPD/93079/2013). PB was supported by EDP Biodiversity Chair. FM was supported by the REN Biodiversity Chair and FCT (IF/01053/2015)
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spelling A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systemsDiscrete choice modelingCommon agricultural policyAgri-environment schemesScenario assessmentFarming systemsHigh nature value farmlandThis study was funded by project POCI-01-0145-FEDER-016664 (PTDC/AAG-REC/5007/2014), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The study was also sponsored by the Portuguese Foundation for Science and Technology (FCT) through projects PTDC/ AGR-AAM/102300/2008 (FCOMP-01-0124-FEDER-008701) and PTDC/BIA-BIC/2203/2012 (FCOMP-01-0124-FEDER-028289), under FEDER funds through the Operational Programme for Competitiveness Factors – COMPETE and by National Funds through FCT – Foundation for Science and Technology, and grants to PFR (SFRH/BD/87530/ 2012) and JS (SFRH/BD/63566/2009). LR received support from the Portuguese Ministry of Education and Science and the European Social Fund, through FCT, under POPH – QREN – Typology 4.1 (post-doc grants SFRH/BPD/62865/2009 and SFRH/BPD/93079/2013). PB was supported by EDP Biodiversity Chair. FM was supported by the REN Biodiversity Chair and FCT (IF/01053/2015)High Nature Value (HNV) farmland is declining in the EU, with negative consequences for biodiversity conservation. Agri-environment schemes implemented under the Common Agricultural Policy have addressed this problem, with recent proposals advocating direct support to HNV farming systems. However, research is lacking on the economics of HNV farming, which makes it difficult to set the level and type of support that ensure its sustainability. In this paper, we focused on a Special Protection Area for steppe bird conservation, analysing how economic incentives, biophysical and structural features govern the choice of farming system. We found that persistence of the traditional farming system important for steppe birds was associated with economic incentives, resistance to change, and good quality soils, whereas a shift to specialised livestock production systems was favoured by higher rainfall and less fragmented farms. A supply curve built using the choice model predicted that the proportion of traditional farming increased from 20% to 80% of the landscape, when economic incentives increased from about 100€/ha to 160€/ha. Overall, our study highlights the dependence of HNV farming systems on economic incentives, and provides a framework to assess the effects of alternative policy and market scenarios to sustain farmland landscapes promoting biodiversity conservation.NOVA School of Business and Economics (NOVA SBE)RUNRibeiro, Paulo FloresNunes, Luís CatelaBeja, PedroReino, LuísSantana, JoanaMoreira, FranciscoSantos, José Lima2022-02-10T01:30:39Z2018-03-012018-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.1016/j.ecolecon.2017.11.011eng0921-8009PURE: 3337592https://www.scopus.com/record/display.uri?eid=2-s2.0-85034606703&origin=resultslist&sort=plf-f&srchttps://doi.org/10.1016/j.ecolecon.2017.11.011info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:19:04Zoai:run.unl.pt:10362/34772Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:12.769504Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems
title A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems
spellingShingle A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems
Ribeiro, Paulo Flores
Discrete choice modeling
Common agricultural policy
Agri-environment schemes
Scenario assessment
Farming systems
High nature value farmland
title_short A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems
title_full A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems
title_fullStr A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems
title_full_unstemmed A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems
title_sort A spatially explicit choice model to assess the impact of conservation policy on high nature value farming systems
author Ribeiro, Paulo Flores
author_facet Ribeiro, Paulo Flores
Nunes, Luís Catela
Beja, Pedro
Reino, Luís
Santana, Joana
Moreira, Francisco
Santos, José Lima
author_role author
author2 Nunes, Luís Catela
Beja, Pedro
Reino, Luís
Santana, Joana
Moreira, Francisco
Santos, José Lima
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA School of Business and Economics (NOVA SBE)
RUN
dc.contributor.author.fl_str_mv Ribeiro, Paulo Flores
Nunes, Luís Catela
Beja, Pedro
Reino, Luís
Santana, Joana
Moreira, Francisco
Santos, José Lima
dc.subject.por.fl_str_mv Discrete choice modeling
Common agricultural policy
Agri-environment schemes
Scenario assessment
Farming systems
High nature value farmland
topic Discrete choice modeling
Common agricultural policy
Agri-environment schemes
Scenario assessment
Farming systems
High nature value farmland
description This study was funded by project POCI-01-0145-FEDER-016664 (PTDC/AAG-REC/5007/2014), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The study was also sponsored by the Portuguese Foundation for Science and Technology (FCT) through projects PTDC/ AGR-AAM/102300/2008 (FCOMP-01-0124-FEDER-008701) and PTDC/BIA-BIC/2203/2012 (FCOMP-01-0124-FEDER-028289), under FEDER funds through the Operational Programme for Competitiveness Factors – COMPETE and by National Funds through FCT – Foundation for Science and Technology, and grants to PFR (SFRH/BD/87530/ 2012) and JS (SFRH/BD/63566/2009). LR received support from the Portuguese Ministry of Education and Science and the European Social Fund, through FCT, under POPH – QREN – Typology 4.1 (post-doc grants SFRH/BPD/62865/2009 and SFRH/BPD/93079/2013). PB was supported by EDP Biodiversity Chair. FM was supported by the REN Biodiversity Chair and FCT (IF/01053/2015)
publishDate 2018
dc.date.none.fl_str_mv 2018-03-01
2018-03-01T00:00:00Z
2022-02-10T01:30:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.1016/j.ecolecon.2017.11.011
url https://doi.org/10.1016/j.ecolecon.2017.11.011
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0921-8009
PURE: 3337592
https://www.scopus.com/record/display.uri?eid=2-s2.0-85034606703&origin=resultslist&sort=plf-f&src
https://doi.org/10.1016/j.ecolecon.2017.11.011
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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