We are pleased to share that AUC Geographica was awarded an Impact Factor of 0.5 in the 2023 Journal Citation Reports™ released by Clarivate in June 2024. AUC Geographica ranks in Q3 in the field of Geography.
AUC Geographica (Acta Universitatis Carolinae Geographica) is a scholarly academic journal continuously published since 1966 that publishes research in the broadly defined field of geography: physical geography, geo-ecology, regional, social, political and economic geography, regional development, cartography, geoinformatics, demography and geo-demography.
AUC Geographica also publishes articles that contribute to advances in geographic theory and methodology and address the questions of regional, socio-economic and population policy-making in Czechia.
Periodical twice yearly.
Release dates: June 30, December 31
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Journal metrics 2023
Web of Science
Impact factor (JCR®): 0.5
Journal Citation Indicator (JCI): 0.20
Rank (JCI): Q3 in Geography
Scopus
Cite Score: 1.2
Rank (ASJC): Q3 in Geography, Planning and Development; Q3 in General Earth and Planetary Sciences
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AUC GEOGRAPHICA, Vol 58 No 2 (2023), 200–213
Related variety and state-sponsored R&D collaboration: a geographical and industrial analysis in Czechia
Petr Horák
DOI: https://doi.org/10.14712/23361980.2023.15
zveřejněno: 21. 11. 2023
Abstract
This paper aims to explore the influence of related variety on direct state-supported R&D cooperation across various geographical levels to understand regional performance differentiation and economic base restructuring in Czechia by employing Frenken et al.’s (2007) methodological approach to calculate a related and unrelated variety for all NACE and NACE C-Manufacturing. Findings indicate that the city of Prague has the highest unrelated and related variety, followed by the cities of Brno, Ostrava, and Pilsen. Calculation just for C-Manufacturing changes the ordering significantly. Furthermore, intra-regional and extra-regional pairwise R&D cooperation in joint projects is calculated. The cluster analysis of Czech microregional data (SO ORP) reveals patterns such as emerging collaborators and collaboration powerhouses. Linear regression analyses established a strong positive association between R&D collaboration intensity and related variety, while a negative link was observed with unrelated variety. Similar relationships were observed in the manufacturing sector (NACE-C).
klíčová slova: related variety; unrelated variety; cluster analysis; Czech microregional data (SO ORP); state-supported R&D collaboration
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Related variety and state-sponsored R&D collaboration: a geographical and industrial analysis in Czechia is licensed under a Creative Commons Attribution 4.0 International License.
210 x 297 mm
vychází: 2 x ročně
cena tištěného čísla: 200 Kč
ISSN: 0300-5402
E-ISSN: 2336-1980
