Detailed Information on Publication Record
2017
Spatial distribution of innovation activities in the Czech Republic in 2010-2012
VACULÍK, Marek, Vít PÁSZTO and Barbora ŠVARCOVÁBasic information
Original name
Spatial distribution of innovation activities in the Czech Republic in 2010-2012
Authors
VACULÍK, Marek, Vít PÁSZTO and Barbora ŠVARCOVÁ
Edition
Journal of International Studies, 2017, 2071-8330
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50701 Cultural and economic geography
Confidentiality degree
není předmětem státního či obchodního tajemství
Organization unit
Moravian Business College Olomouc
Keywords in English
innovation activity;geographical distribution;Czech Republic;spatial concentration;high-innovative companies war
Změněno: 30/4/2021 13:56, Ing. Michaela Nováková
Abstract
V originále
Innovation is widely considered as an engine of economic growth, competitiveness and job creation. As such it has become a hot policy topic over the last years, especially on regional and national levels. Thus, it is vital to analyze and evaluate innovation activities, whether they are dispersed or concentrated in space. This article address the question: are innovations spatially clustered or not? In this article, we obtain a clear picture of the geographical distribution of innovation activities carried out by companies in Czech Republic during 2010-2012. Visual and statistical analysis of firm-level survey data concerning innovation activities of 5,449 (22% of the statistical population) Czech companies has been performed. Using four newly calculated innovation measures, their overall scores in Local Administrative Units 1 and consequent geovisualization allowed us revealing clusters of innovating districts and evaluating their spatial patterns. The main findings are that low innovative regions are located mainly (1) in the borderlands, (2) in rural areas, and (3) in mountainous areas. On the other hand, highly innovative regions tend to be in major cities and their neighborhoods, which indicates a positive spillover effect.