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Spatial Distribution of Knowledge-Intensive Industries in Hungary

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  • Izabella Szakálné Kanó
  • Zsófia Vas

Abstract

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. Copyright CEEUN 2013

Suggested Citation

  • Izabella Szakálné Kanó & Zsófia Vas, 2013. "Spatial Distribution of Knowledge-Intensive Industries in Hungary," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(4), pages 431-444, March.
    • Handle: RePEc:spr:trstrv:v:19:y:2013:i:4:p:431-444
    DOI: 10.1007/s11300-013-0261-y
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    Cited by:

    1. Jan Ženka & Josef Novotný & Ondřej Slach & Igor Ivan, 2017. "Spatial Distribution of Knowledge-Intensive Business Services in a Small Post-Communist Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(2), pages 385-406, June.
    2. Devesh Singh, 2022. "Cluster Space Among Labor Productivity, Urbanization, and Agglomeration of Industries in Hungary," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1008-1027, June.
    3. Imre Lengyel & János Rechnitzer, 2013. "Drivers of Regional Competitiveness in the Central European Countries," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(3), pages 421-435, November.

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    More about this item

    Keywords

    Knowledge-intensive industry; Geographical concentration; Spatial agglomeration; Hungary; C10; O14; R12;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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