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Verfasst von:Wagner, Madeleine [VerfasserIn]   i
 Growe, Anna [VerfasserIn]   i
Titel:Medium-sized towns in the knowledge economy
Titelzusatz:towards a systematic classification
Verf.angabe:Madeleine Wagner and Anna Growe
E-Jahr:2023
Jahr:12 January 2023
Umfang:21 S.
Fussnoten:Gesehen am 15.03.2023
Titel Quelle:Enthalten in: Sustainability
Ort Quelle:Basel : MDPI, 2009
Jahr Quelle:2023
Band/Heft Quelle:15(2023), 2 vom: Jan., Artikel-ID 1532, Seite 1-21
ISSN Quelle:2071-1050
Abstract:Medium-sized towns represent important anchor points with regard to services of general interest that are also places to live and work. The increasing number of employees in the service and knowledge economy and the shift in working conditions towards more flexible and mobile working models have impacted the importance of working locations outside the metropolises. This study classifies all medium-sized German towns with a focus on the knowledge economy to analyze the role of this city type for different labor market indicators. First, 19 indicators are condensed into six principal components by means of principal component analysis. This is followed by a cluster and a discriminant analysis to determine five types of towns: (1) important working and education centers, (2) residential towns with a work function, (3) average medium-sized towns, (4) accessibility winners, and (5) tax winners. The results demonstrate that medium-sized towns should be regarded as a single and important urban category, especially concerning the knowledge economy. Our classification enables an initial evaluation that can be used for further evidence-based funding policy and spatial governance. By concluding with a methodological critique and discussing the results obtained, we argue for a more nuanced look at medium-sized towns from different disciplinary perspectives.
DOI:doi:10.3390/su15021532
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.3390/su15021532
 Volltext: https://www.mdpi.com/2071-1050/15/2/1532
 DOI: https://doi.org/10.3390/su15021532
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:classification
 cluster analysis
 discriminant analysis
 Germany
 knowledge economy
 knowledge-intensive services
 medium-sized towns
 principal component analysis
 service industry
K10plus-PPN:1839201592
Verknüpfungen:→ Zeitschrift

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