Measuring Technological Change through an Extended Structural Decomposition Analysis: An Application to EU-28 Primary Sectors (2010–2015)

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dc.abstract.enThis paper addresses the input–output structural decomposition for an economic analysis. The objective is to determine the causes of changes in production in these sectors with a particular focus on disaggregating the technological change by distribution factors associated with a specific normalization of the Leontief inverse. In calculating the net multipliers, an attempt was made to exclude each sectors’ own consumption in a satisfactory manner. However, the treatment of own consumption when introducing a time factor requires further investigation to avoid questionable measurements. An empirical application is presented regarding agriculture, forestry, and fishing sectors in six EU-28 countries (Austria, Belgium, France, Germany, Italy, and Spain) over the 2010–2015 period. In general, a typical characteristic of primary sectors is the accumulation of a significant amount of their own consumption, facilitated by the design of their own symmetric accounting methods. Therefore, attention is focused on these sectors so as to reveal possible analysis techniques that will provide nuance or validate existing techniques.
dc.affiliationWydział Ekonomiczny
dc.affiliation.instituteKatedra Finansów i Rachunkowości
dc.contributor.authorPereira-López, Xesús
dc.contributor.authorWęgrzyńska, Małgorzata
dc.contributor.authorSánchez-Chóez, Napoleón Guillermo
dc.date.access2026-02-05
dc.date.accessioned2026-02-20T10:17:39Z
dc.date.available2026-02-20T10:17:39Z
dc.date.copyright2022-01-04
dc.date.issued2022
dc.description.abstract<jats:p>This paper addresses the input–output structural decomposition for an economic analysis. The objective is to determine the causes of changes in production in these sectors with a particular focus on disaggregating the technological change by distribution factors associated with a specific normalization of the Leontief inverse. In calculating the net multipliers, an attempt was made to exclude each sectors’ own consumption in a satisfactory manner. However, the treatment of own consumption when introducing a time factor requires further investigation to avoid questionable measurements. An empirical application is presented regarding agriculture, forestry, and fishing sectors in six EU-28 countries (Austria, Belgium, France, Germany, Italy, and Spain) over the 2010–2015 period. In general, a typical characteristic of primary sectors is the accumulation of a significant amount of their own consumption, facilitated by the design of their own symmetric accounting methods. Therefore, attention is focused on these sectors so as to reveal possible analysis techniques that will provide nuance or validate existing techniques.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if2,6
dc.description.number1
dc.description.points40
dc.description.versionfinal_published
dc.description.volume10
dc.identifier.doi10.3390/economies10010015
dc.identifier.issn2227-7099
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/7410
dc.identifier.weblinkhttps://www.mdpi.com/2227-7099/10/1/15
dc.languageen
dc.relation.ispartofEconomies
dc.relation.pagesart. 15
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.enstructural decomposition analysis
dc.subject.entechnological change
dc.subject.enprimary sectors
dc.titleMeasuring Technological Change through an Extended Structural Decomposition Analysis: An Application to EU-28 Primary Sectors (2010–2015)
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume10