Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/261630 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Journal of Economic Structures [ISSN:] 2193-2409 [Volume:] 11 [Article No.:] 2 [Publisher:] Springer [Place:] Heidelberg [Year:] 2022 [Pages:] 1-23
Verlag: 
Springer, Heidelberg
Zusammenfassung: 
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.
Schlagwörter: 
Clusters
Dimensionality reduction
Networks
Principal components
Structural change
JEL: 
B24
B51
C67
D46
D57
E11
E32
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