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Types of competitiveness of Hungarian regions: agglomeration economies and endogenous regional development

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  • Imre Lengyel

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    Abstract

    Nowadays, more and more scholars of regional science are interested in the role of agglomeration economies in the knowledge-based economy. This issue can be dealt with from different points of view: the competitive type of functional or nodal regions and one has to examine the factors influencing regional competitiveness. To improve competitiveness of regions, different economic development programmes must be applied, which means that the improvement of competitiveness requires different strategies based on the different types of regions. In this paper we outline our analytical framework: the pyramid model of regional competitiveness and the UFO-model of cluster-based regional economic development. After introducing, we are going to investigate into the competitiveness of Hungarian microregions (LAU1). Our statistical analysis to underline the classification of microregions by competitiveness types is based on a complex methodology of multi-variable data analysis. For the investigation of agglomeration economies in these different types of microregions we apply the location quotient (LQ) method and Ellison-Glaeser-index of traded sectors. The Local Moran Index (LISA), which can be interpreted as the local index of spatial autocorrelation, is used to calculate the neighbourhood effects of the microregions.

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    Bibliographic Info

    Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa11p674.

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    Date of creation: Sep 2011
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    Handle: RePEc:wiw:wiwrsa:ersa11p674

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    1. Fischer, M.M. & Nijkamp, P., 2009. "Entrepreneurship and Regional Development," Serie Research Memoranda 0035, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Nijkamp, P. & Abreu, M., 2009. "Regional development theory," Serie Research Memoranda 0029, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Bal√°zs Lengyel & Vladislav Cadil, 2009. "Innovation Policy Challenges in Transition Countries: Foreign Business R&D in the Czech Republic and Hungary," Transition Studies Review, Springer, vol. 16(1), pages 174-188, May.
    4. Karen Polenske, 2004. "Competition, Collaboration and Cooperation: An Uneasy Triangle in Networks of Firms and Regions," Regional Studies, Taylor & Francis Journals, vol. 38(9), pages 1029-1043.
    5. Balazs Lengyel & Loet Leydesdorff, 2011. "Regional Innovation Systems in Hungary: The Failing Synergy at the National Level," Regional Studies, Taylor & Francis Journals, vol. 45(5), pages 677-693.
    6. Ben Gardiner & Ron Martin & Tyler Peter, 2004. "Competitiveness, Productivity and Economic Growth across the European Regions," ERSA conference papers ersa04p333, European Regional Science Association.
    7. Michael Porter, 2003. "The Economic Performance of Regions," Regional Studies, Taylor & Francis Journals, vol. 37(6-7), pages 549-578.
    8. Michael Kitson & Ron Martin & Peter Tyler, 2004. "Regional Competitiveness: An Elusive yet Key Concept?," Regional Studies, Taylor & Francis Journals, vol. 38(9), pages 991-999.
    9. Camagni, Roberto, 2002. "On the concept of territorial competitiveness: sound or misleading?," ERSA conference papers ersa02p518, European Regional Science Association.
    10. Zoltan Acs & Laszlo Szerb, 2007. "Entrepreneurship, Economic Growth and Public Policy," Small Business Economics, Springer, vol. 28(2), pages 109-122, March.
    11. Leslie Budd & Amer Hirmis, 2004. "Conceptual Framework for Regional Competitiveness," Regional Studies, Taylor & Francis Journals, vol. 38(9), pages 1015-1028.
    12. Roberta Capello, 2007. "A forecasting territorial model of regional growth: the MASST model," The Annals of Regional Science, Springer, vol. 41(4), pages 753-787, December.
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