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Priestorové efekty v regionálnych inovačných aktivítách
[Spatial Effects in Regional Innovation Activities]

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  • Andrea Furková

Abstract

This paper explores the role of spatial effects in the innovation processes across 245 NUTS-2 European Union (EU) regions for the period 2008-2012. The goal of the paper is to verify two hypotheses. The first one deals with spatial autocorrelation, i.e., our assumption is that the regional innovation process is not a spatially isolated process but is determined by innovation activities in neighbouring regions as well. Secondly, we assume non-homogeneous responses of innovation output to changes in innovation inputs across groups of regions, i.e., a spatial heterogeneity hypothesis. Patent applications were chosen as a proxy for innovative activity and we considered research and development expenditures and human resources in science and technology as innovation inputs. In order to model the behaviour of innovative activity at the EU regional level, we constructed and estimated a spatial regional knowledge production function model and spatial regime models. The results of the analysis confirm the hypothesis that the regional innovation process is not a spatially isolated process but is also influenced by innovation activities in neighbouring regions, and we have also identified two spatial innovation regimes.

Suggested Citation

  • Andrea Furková, 2020. "Priestorové efekty v regionálnych inovačných aktivítách [Spatial Effects in Regional Innovation Activities]," Politická ekonomie, Prague University of Economics and Business, vol. 2020(1), pages 18-41.
    • Handle: RePEc:prg:jnlpol:v:2020:y:2020:i:1:id:1269:p:18-41
    DOI: 10.18267/j.polek.1269
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    References listed on IDEAS

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    1. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, June.
    2. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    3. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    4. Audretsch, David B. & Feldman, Maryann P., 2004. "Knowledge spillovers and the geography of innovation," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 61, pages 2713-2739, Elsevier.
    5. Ian R. Gordon & Philip McCann, 2005. "Innovation, agglomeration, and regional development," Journal of Economic Geography, Oxford University Press, vol. 5(5), pages 523-543, October.
    6. Philip McCann & Daniel Shefer, 2005. "Agglomeration, economic geography and regional growth," Papers in Regional Science, Wiley Blackwell, vol. 84(3), pages 301-309, August.
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    More about this item

    Keywords

    spatial autocorrelation; spatial heterogeneity; innovation activity; NUTS 2 regions;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • 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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