Analyzing spatial distribution of knowledge-intensive industries in Hungary at sub-regional level
AbstractIn recent years knowledge-intensive industries in production and services have a lead in respect of the development of knowledge-driven economy. They are now the core of growth, with an increasingly high importance especially in less developed countries, like Hungary. Spatial distribution of knowledge-intensive economic activities shows a certain inequality in Hungary, and determines the formation and existence of â€šÃ„Ã²knowledge polesâ€šÃ„Ã´ described as agglomeration of knowledge-intensive industries in the country. But the fact that these industries and firms â€šÃ„Ã²flock togetherâ€šÃ„Ã´ and have the same location, does not mean that all firms in the concentration cooperate with each other and have joint actions. It is necessary to make a differentiation between enterprises in geographical proximity (co-location) and in relational proximity. Recent study aims to identify the spatial coherence and concentration of knowledge-intensive industries in Hungary at sub-regional (LAU 1) level, using the methods and indicators of spatial econometrics. The research also tries to reveal the special characteristics of distribution of knowledge-intensive industries operating in geographical and relational proximity.
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