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Analysing the recent dynamics of agricultural sustainability in Portugal using a compromise programming approach

dc.contributor.authorXavier, António
dc.contributor.authorCosta Freitas, M. B.
dc.contributor.authorFragoso, Rui
dc.contributor.authorRosário, Maria do Socorro
dc.date.accessioned2022-10-17T09:44:19Z
dc.date.available2022-10-17T09:44:19Z
dc.date.issued2022-09-30
dc.date.updated2022-10-13T12:59:52Z
dc.description.abstractSociety recognises the importance of agriculture to supply goods, which are essential for human survival and well-being. Sustainable agriculture is an important goal since resources need to be preserved for future generations. The recent agricultural policy orientations towards environmental concerns have also had consequences for Portuguese agriculture. The information provided by the 2019 Agricultural Census offers an opportunity to analyse the recent dynamics and establish rankings of municipalities related to agricultural sustainability. Sustainability in agriculture can be studied using different types of indicators, but its quantification and aggregation into an index is still difficult. This paper proposes an approach based on compromise programming to analyse sustainability considering the dynamics between the 2009 and 2019 Agricultural Census. This approach has three main steps: in the first one, the indicators are selected and a HJ-Biplot and Cluster analysis are carried out to identify groups of municipalities and general dynamics; in the second step, the weights of indicators are defined, and a novel compromise programming model is implemented to define the rankings of sustainability for each year; finally, in the third step, the spatial dynamics of the sustainability rankings are analysed and classified into the clusters of municipalities previously created. The analysis was implemented using data from the 308 Portuguese municipalities for 12 individual indicators encompassing the several dimensions of sustainability. The results were promising since the approach allowed for the identification of the main dynamics and tendencies regarding sustainability.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSustainability 14 (19): 12512 (2022)pt_PT
dc.identifier.doi10.3390/su141912512pt_PT
dc.identifier.eissn2071-1050
dc.identifier.urihttp://hdl.handle.net/10400.1/18399
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationMediterranean Institute for Agriculture, Environment and Development
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAgricultural sustainabilitypt_PT
dc.subjectAgricultural censuspt_PT
dc.subjectHJ-Biplotpt_PT
dc.subjectCluster analysispt_PT
dc.subjectCompromise programmingpt_PT
dc.titleAnalysing the recent dynamics of agricultural sustainability in Portugal using a compromise programming approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMediterranean Institute for Agriculture, Environment and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05183%2F2020/PT
oaire.citation.issue19pt_PT
oaire.citation.startPage12512pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFerreira da Silva da Costa Freitas
person.givenNameMaria de Belém
person.identifier.ciencia-idCF18-575C-BC6A
person.identifier.orcid0000-0001-7645-7099
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationb9b9952d-e4ba-463d-9907-0910b3a96480
relation.isAuthorOfPublication.latestForDiscoveryb9b9952d-e4ba-463d-9907-0910b3a96480
relation.isProjectOfPublication823bd652-ee6c-4479-91c5-06095bc37e9c
relation.isProjectOfPublication.latestForDiscovery823bd652-ee6c-4479-91c5-06095bc37e9c

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