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Efficiency of the R&D Sector in the EU-27 at the Regional Level: An Application of DEA

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  • Aristovnik, Aleksander

Abstract

The main aim of the paper is to measure the relative efficiency of the R&D sector in the EU-27 at the regional level. For this purpose, the paper applies a non-parametric approach, i.e. data envelopment analysis (DEA), to assess the relative technical efficiency of R&D activities across selected EU (NUTS-2) regions. The empirical analysis integrates available inputs (R&D expenditures, researchers and employment in high-tech sectors) and outputs (patent and high-tech patent applications) over the 2005–2010 period. The empirical results show that among regions with a high intensity of R&D activities the most efficient performers are Noord-Brabant (Netherlands), Stuttgart (Germany) and Tirol (Austria). In contrast, a wide range of NUTS-2 regions from the Baltics, Eastern and Southern Europe is characterized by an extremely low rate of knowledge production and its efficiency, particularly in Poland (Mazowieckie), Lithuania (Lietuva), Latvia (Latvija), Romania (Bucuresti-Ilfov), Bulgaria (Yugozapaden), Slovakia (Západné Slovensko), Greece (Attiki), Spain (Canarias) and Italy (Sardegna).

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  • Aristovnik, Aleksander, 2014. "Efficiency of the R&D Sector in the EU-27 at the Regional Level: An Application of DEA," MPRA Paper 59081, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:59081
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    Cited by:

    1. Dejan Ravšelj & Aleksander Aristovnik, 2018. "The Impact of Private Research and Development Expenditures and Tax Incentives on Sustainable Corporate Growth in Selected OECD Countries," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    2. Tihana Škrinjarić, 2020. "R&D in Europe: Sector Decomposition of Sources of (in)Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    3. Martina Halaskova & Beata Gavurova & Kristina Kocisova, 2020. "Research and Development Efficiency in Public and Private Sectors: An Empirical Analysis of EU Countries by Using DEA Methodology," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    4. Dejan Ravšelj & Aleksander Aristovnik, 2017. "R&D Subsidies as Drivers of Corporate Performance in Slovenia: The Regional Perspective," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 2, pages 79-95, June.
    5. Kadri Männasoo & Jaanika Meriküll, 2015. "The impact of firm financing constraints on R&D over the business cycle," Working Papers 348, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    6. Aneta Masternak‐Janus, 2022. "Measuring the efficiency of materials management based on data envelopment analysis approach: the case of Polish regions," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 603-618, June.
    7. Männasoo, Kadri & Meriküll, Jaanika, 2020. "Credit constraints and R&D over the boom and bust: Firm-level evidence from Central and Eastern Europe," Economic Systems, Elsevier, vol. 44(2).
    8. Luh, Yir-Hueih & Jiang, Wun-Ji & Huang, Szu-Chi, 2016. "Trade-related spillovers and industrial competitiveness: Exploring the linkages for OECD countries," Economic Modelling, Elsevier, vol. 54(C), pages 309-325.
    9. Beáta Gavurová & Martina Halásková & Samuel Koróny, 2019. "Research and Development Indicators of EU28 Countries from Viewpoint of Super-efficiency DEA Analysis," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(1), pages 225-242.

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    More about this item

    Keywords

    Data Envelopment Analysis (DEA); Efficiency; EU; NUTS-2 regions; R&D;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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