Artikel

A new method of identifying key industries: A principal component analysis

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This article using the principal components analysis identifies key industries and groups them into particular clusters. The data come from the US benchmark input-output tables of the years 2002, 2007, 2012 and the most recently published input-output table of the year 2019. We observe some intertemporal switches of industries both between and within the top clusters. The findings further suggest that structural change is a slow-moving process and it takes time for some industries to move from one cluster to the other. This information may be proved important in the designation of effective economic policies by targeting key industries and also for the stability properties of the economic system.

Sprache
Englisch

Erschienen in
Journal: Journal of Economic Structures ; ISSN: 2193-2409 ; Volume: 11 ; Year: 2022 ; Pages: 1-23 ; Heidelberg: Springer

Klassifikation
Wirtschaft
History of Economic Thought since 1925: Socialist; Marxist; Sraffian
Current Heterodox Approaches: Socialist; Marxian; Sraffian
Input-Output Models
Value Theory
General Equilibrium and Disequilibrium: Input-Output Tables and Analysis
General Aggregative Models: Marxian; Sraffian; Kaleckian
Business Fluctuations; Cycles
Thema
Clusters
Dimensionality reduction
Networks
Principal components
Structural change

Ereignis
Geistige Schöpfung
(wer)
Tsoulfidis, Lefteris
Athanasiadis, Ioannis
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2022

DOI
doi:10.1186/s40008-022-00261-z
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
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Objekttyp

  • Artikel

Beteiligte

  • Tsoulfidis, Lefteris
  • Athanasiadis, Ioannis
  • Springer

Entstanden

  • 2022

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