AUC GEOGRAPHICA

AUC GEOGRAPHICA

We are pleased to share that the AUC Geographica was awarded an Impact Factor of 0.6 in the 2022 Journal Citation Reports™ released by Clarivate in June 2023. AUC Geographica ranks (JCI) in Q3 in 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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The journal has been indexed by the Polish Ministry of Science and Higher Education (MSHE) on the list of scientific journals recommended for authors to publish their articles. ICI World of Journals; Acta Universitatis Carolinae, Geographica.

Journal metrics 2022

Web of Science
Impact factor (JCR®): 0.6
Journal Citation Indicator (JCI): 0.24
Rank (JCI): Q3 in Geography

Scopus
Cite Score: 1.1
Rank (ASJC): Q3 in Geography, Planning and Development; Q3 in General Earth and Planetary Sciences

The journal is archived in Portico.

AUC GEOGRAPHICA, 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
published online: 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).

keywords: related variety; unrelated variety; cluster analysis; Czech microregional data (SO ORP); state-supported R&D collaboration

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Creative Commons License
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
periodicity: 2 x per year
print price: 200 czk
ISSN: 0300-5402
E-ISSN: 2336-1980

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