Ιδρυματικό Αποθετήριο Ακαδημαϊκής Έρευνας
Πανεπιστήμιο Μακεδονίας
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https://ruomo.lib.uom.gr/handle/7000/1406Πλήρης εγγραφή μεταδεδομένων
| Πεδίο DC | Τιμή | Γλώσσα |
|---|---|---|
| dc.contributor.author | Tsoulfidis, Lefteris | - |
| dc.contributor.author | Athanasiadis, Ioannis | - |
| dc.date.accessioned | 2022-09-26T08:31:09Z | - |
| dc.date.available | 2022-09-26T08:31:09Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier | 10.1186/s40008-022-00261-z | en_US |
| dc.identifier.issn | 2193-2409 | en_US |
| dc.identifier.uri | https://doi.org/10.1186/s40008-022-00261-z | en_US |
| dc.identifier.uri | https://ruomo.lib.uom.gr/handle/7000/1406 | - |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | en | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.source | Journal of Economic Structures | en_US |
| dc.subject | FRASCATI::Natural sciences::Mathematics::Statistics and probability | en_US |
| dc.subject.other | input | en_US |
| dc.subject.other | principal component analysis | en_US |
| dc.subject.other | output | en_US |
| dc.subject.other | clustering | en_US |
| dc.subject.other | dendrograms | en_US |
| dc.subject.other | networks | en_US |
| dc.title | A new method of identifying key industries: a principal component analysis | en_US |
| dc.type | Article | en_US |
| dc.contributor.department | Τμήμα Οικονομικών Επιστημών | en_US |
| local.identifier.volume | 11 | en_US |
| local.identifier.firstpage | 2 | en_US |
| Εμφανίζεται στις Συλλογές: | Τμήμα Οικονομικών Επιστημών | |
Αρχεία σε αυτό το Τεκμήριο:
| Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
|---|---|---|---|---|
| a new method_tsoulfidis_athanasiadis_2022.pdf | A new method of identifying key industries: a principal component analysis | 2,67 MB | Adobe PDF | Προβολή/Ανοιγμα |
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