Regional effectiveness of innovation: leaders and followers of the EU NUTS 0 and NUTS 2 regions.

Innovation, which constitutes an important factor for growth, strongly diversifies regions' level of development. To compare regional innovativeness of EU territories, we employ the data envelopment analysis (DEA) framework. We analyse the relative efficiency of regions using a standard DEA for the...

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Publicado en:Innovation: The European Journal of Social Sciences Vol. 37; no. 2; pp. 399 - 421
Autores principales: Żółtaszek, Agata, Olejnik, Alicja
Formato: Artículo
Publicado: Taylor & Francis Ltd Jun2024
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2024
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      pub: Taylor & Francis Ltd
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        10.1080/13511610.2020.1870440
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        atl: Regional effectiveness of innovation: leaders and followers of the EU NUTS 0 and NUTS 2 regions.
      aug:
        au:
          Żółtaszek, Agata
          Olejnik, Alicja
        affil: Department of Spatial Econometrics, Institute of Spatial Economics, Faculty of Economics and Sociology, University of Lodz, Lodz, Poland
      su:
        Human capital
        Leadership
        Data envelopment analysis
        Data analysis
        Patents
      sug:
        subj:
          Human capital
          Leadership
          Offices of Lawyers
          All Other Legal Services
          Data envelopment analysis
          Data analysis
          Patents
      keyword:
        ESDA (exploratory spatial data analysis)
        Malmquist index
        regional economy
        regional effectiveness
        regional innovation
        spatial DEA (data envelopment analysis)
        ESDA (exploratory spatial data analysis)
        Malmquist index
        regional economy
        regional effectiveness
        regional innovation
        spatial DEA (data envelopment analysis)
      ab: Innovation, which constitutes an important factor for growth, strongly diversifies regions' level of development. To compare regional innovativeness of EU territories, we employ the data envelopment analysis (DEA) framework. We analyse the relative efficiency of regions using a standard DEA for the country-level, a spatial DEA for regional analysis and the Malmquist indexes to measure the innovation productivity change over time. In our research, the inputs are human capital and R&D expenditure, while the outputs include the number of patents and GDP. We combine the results of these methods with spatial statistics to pinpoint the spatio-temporal patterns of innovation efficiency across European regions. We confirm validity of the assumed complex spatial structure of innovation efficiency. Our study indicates that innovation efficiency at the country-level is dissimilar, or even partially contradictory, to NUTS 2 outcomes due to high regional dispersion within state borers and similarities among neighbouring regions from different countries.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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