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Knowledge-intensive industries have attracted a great attention nowadays in researches because of its contribution to the development of knowledge-driven economy. They generate positive effects on the regional economy and have increasingly high importance in less developed regions, like Hungary. The identification of spatial distribution, the geographical co-location of knowledge-intensive economic activities is substantial to define potential leading industrial branches in regions. This paper aims to identify the spatial coherence and concentration of knowledge-intensive industries nationwide in Hungary at subregional level, and presents results using Ellison-Glaeser geographic concentration index and the measure of spatial autocorrelation with Moran index.
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Kanó et al. (2013) studied this question.
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