Related variety and state-sponsored R&D collaboration: a geographical and industrial analysis in Czechia

被引:0
|
作者
Horak, Petr [1 ,2 ]
机构
[1] Charles Univ Prague, Fac Sci, Dept Social Geog & Reg Dev, Prague, Czech Republic
[2] Technol Agcy Czech Republ, Prague, Czech Republic
来源
AUC GEOGRAPHICA | 2023年 / 58卷 / 02期
关键词
related variety; unrelated variety; cluster analysis; Czech microregional data (SO ORP); state-supported R&D collaboration; EMPLOYMENT GROWTH; LINKAGES;
D O I
10.14712/23361980.2023.15
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
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).
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页码:200 / 213
页数:14
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