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German cities with universities

Socioeconomic position and university performance

Bibliographic Data

ID21255949
AuthorsAnthony F J van Raan (0000-0001-8980-5937, Leiden University, corresponding author)
Year2022
Volume3
Issue1
Pages265-288
Publication date2022-04-12
Open AccessYes
TypeARTICLE
VenueQuantitative Science Studies (JOURNAL)
Journal identifiersISSN: 2641-3337 • E-ISSN: 2641-3337
PublisherMIT Press (PUBLISHER • US)
DOI10.1162/qss_a_00182
OpenAlexW3203570654
LanguageEN
Citations received3
References cited26

A much-debated topic is the role of universities in the prosperity of cities and regions. Two major problems arise. First, what is a reliable measurement of prosperity? And second, what are the characteristics, particularly research performance, of a university that matter? I focus on this research question: Is there a significant relation between having a university and a city’s socioeconomic strength? And if so, what are the determining indicators of a university; for instance, how important is scientific collaboration? What is the role of scientific quality measured by citation impact? Does the size of a university, measured in number of publications or in number of students matter? I compiled a database of city and university data: gross urban product and population data of nearly 200 German cities and 400 districts. University data are derived from the Leiden Ranking 2020 and supplemented with data on the number of students. The socioeconomic strength of a city is determined using the urban scaling methodology. My study shows a significant relation between the presence of a university in a city and its socioeconomic indicators, particularly for larger cities, and that this is especially the case for universities with higher values of their output, impact and collaboration indicators

Economic growth · Economics · Geography · German · Political science · Population · Prosperity · Regional science · Socioeconomic status · Sociology · Computer Science · Demography · Regional Economics and Spatial Analysis · Regional resilience and development · Spatial and Panel Data Analysis

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Citations per year1
Citation span2023 - 2026 (4)
Highly citedNo

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