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Research, Innovation and Development vs Regional Disparities across the European Union

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  • Romeo-Victor Ionescu

    (Romanian Regional Science Association)

Abstract

The paper achieves a complex analysis of the present developments in R&D and innovation processes across the EU28. A distinct part of the paper deals with the analysis of the R&D and innovation activities at NUTS 2 regional level. The latest official statistical data were used in order to build a regional database related to R&D and innovation processes. The statistical data were divided into two categories: R&D resources and R&D results, which were analysed using comparative analysis, cluster analysis and regression. The macro trends in R&D and innovation processes are compared to those at NUTS 2 level. A special chapter in the paper is focused on R&D and innovation processes across the Romanian regions. The conclusions of the analysis, supported by tables and pertinent diagrams, are not positive. The R&D and innovation processes lead to increasing disparities across the Member States and regions. Romanian regions, excepting Bucuresti-Ilfov are not able to eliminate the gap in R&D and innovation development on short and medium terms.

Suggested Citation

  • Romeo-Victor Ionescu, 2016. "Research, Innovation and Development vs Regional Disparities across the European Union," EuroEconomica, Danubius University of Galati, issue 2(12), pages 161-173, April.
    • Handle: RePEc:dug:journl:y:2016:i:2:p:161-173
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    File URL: http://journals.univ-danubius.ro/index.php/oeconomica/article/view/3278/3245
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    References listed on IDEAS

    as
    1. Goschin Zizi & Sandu Steliana & Goschin Georgiana-Gloria, 2014. "New Trends In R&D Disparities Among Eu Countries. A Sigma Convergence Approach," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 463-472, July.
    2. Sara Amoroso & Pietro Moncada-Paternò-Castello & Antonio Vezzani, 2017. "R&D profitability: the role of risk and Knightian uncertainty," Small Business Economics, Springer, vol. 48(2), pages 331-343, February.
    3. Montresor, Sandro & Vezzani, Antonio, 2015. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," Research Policy, Elsevier, vol. 44(2), pages 381-393.
    4. Sara Amoroso, 2015. "Profits, R&D and labour: Breaking the law of diminishing returns to labour," JRC Working Papers on Corporate R&D and Innovation 2015-10, Joint Research Centre.
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