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Sustainability of European firms

2018-10-20Conference object Restricted access
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dc.contributor.authorDos Santos, Maria José Palma Lampreia
dc.date.accessioned2020-05-11T14:56:04Z
dc.date.available2020-05-11T14:56:04Z
dc.date.issued2018-10-20
dc.description.abstractThere has been an undeniable and remarkable performance of the global food system over the last fifty years. During this period, total food supply has increased almost threefold, whereas population has only done so in a twofold ratio, along with very significant shifts in diet related to economic development. European agricultural activity plays an important role in European and world food security through the agricultural production, supply and international trade. The main aim of this paper was analyses the agricultural sustainability of the twenty-eight Member States of the European Union in terms of economics, environmental, social and political activity. Information and data comes from FADN database from the European Commission related to the year 2013, because is the last information available. The methodology includes the min-max approach based on the four components of sustainability, namely, economic, social, environmental and politics. We include the new component of politics in the sustainability because European agricultural are high subsidised and these subsidies have impacts on European agricultural sustainability. All the referred components of sustainability were based on various indicators in each component based on the literature. The min-max approach was employed to normalise the selected indicators expressed in variety dimensions for their need to be put on a common basis according to Vitunskiene & Dabkiene, (2016). Multivariate methods, namely Component Principal Analysis was used to estimate weights for the selected indicators to construct sub-indices and then the sub-indices were aggregated into the farm relative sustainability index according to Vitunskiene & Dabkiene, (2016), but adjusted to the present goals. After, cluster analysis was used to form homogeneous groups of European countries according the agricultural sustainability indices. The results confirm three groups of European countries, namely, the North and Central countries; the New Member States and the Mediterranean counties. The results confirm that European agriculture firms and respective countries had a medium sustainability. The main conclusion highlines confirms the importance of the sustainability as a tool to better adjust agricultural policies among the European member states and the need of to take into account the social, environmental and competitiveness of the agricultural sector in each cluster of countries and respective agricultural firms.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationDos Santos, M. J. P. L. (2018, oct, 20-21). Sustainability of European firms. Paper presented at 3rd International Conference on Experiential Learning 2018, Faculty of Economics and Business, Karachi, Pakistan.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/11619
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFaculty of Economics and Businesspt_PT
dc.relation.publisherversionhttps://events.iobm.edu.pk/icel-2018/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectEuropean Member Statespt_PT
dc.subjectEconomicspt_PT
dc.subjectEnvironmentalpt_PT
dc.subjectPoliticalpt_PT
dc.subjectSocialpt_PT
dc.subjectSustainabilitypt_PT
dc.titleSustainability of European firmspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFaculty of Economics and Business, Karachi, Pakistanpt_PT
oaire.citation.title3rd International Conference on Experiential Learning 2018pt_PT
person.familyNameDos-Santos
person.givenNameMaria José Palma Lampreia
person.identifier.ciencia-id011D-55C7-976C
person.identifier.orcid0000-0002-1992-0419
person.identifier.scopus-author-id56107451000
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9c5ce6f5-82dd-4b62-a817-ba31598a3eac
relation.isAuthorOfPublication.latestForDiscovery9c5ce6f5-82dd-4b62-a817-ba31598a3eac

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