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Specialization, R&D and productivity growth: evidence from EU regions

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  • Gianfranco Piras
  • Paolo Postiglione
  • Patricio Aroca

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  • Gianfranco Piras & Paolo Postiglione & Patricio Aroca, 2012. "Specialization, R&D and productivity growth: evidence from EU regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 35-51, August.
  • Handle: RePEc:spr:anresc:v:49:y:2012:i:1:p:35-51
    DOI: 10.1007/s00168-010-0424-2
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    22. Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2010. "A Spatial Cliff‐Ord‐Type Model With Heteroskedastic Innovations: Small And Large Sample Results," Journal of Regional Science, Wiley Blackwell, vol. 50(2), pages 592-614, May.
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    Citations

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    Cited by:

    1. Paolo Postiglione & M. Andreano & Roberto Benedetti, 2013. "Using Constrained Optimization for the Identification of Convergence Clubs," Computational Economics, Springer;Society for Computational Economics, vol. 42(2), pages 151-174, August.
    2. Tomasz Kijek & Anna Matras-Bolibok, 2020. "Knowledge-intensive Specialisation and Total Factor Productivity (TFP) in the EU Regional Scope," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(1), pages 181-188.
    3. Paolo Postiglione & Alfredo Cartone & Domenica Panzera, 2020. "Economic Convergence in EU NUTS 3 Regions: A Spatial Econometric Perspective," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    4. Chong, Fen Nee & Liew, Venus Khim-Sen & Suhaimi, Rosita, 2016. "Does Research and Development Expenditure Co-integrate with Gross National Income of ASEAN Countries?," MPRA Paper 107981, University Library of Munich, Germany.
    5. Jörg Breitung & Christoph Wigger, 2018. "Alternative GMM estimators for spatial regression models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(2), pages 148-170, April.
    6. Wioletta Kilar & Tomasz Rachwal, 2014. "Changing Role of Industry in the Economy in the V4 Countries," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 10(01), pages 45-54.
    7. Carlo Ciccarelli & Stefano Fachin, 2017. "Regional growth with spatial dependence: A case study on early Italian industrialization," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 675-695, November.
    8. Benos, Nikos & Karagiannis, Stelios, 2016. "Do education quality and spillovers matter? Evidence on human capital and productivity in Greece," Economic Modelling, Elsevier, vol. 54(C), pages 563-573.
    9. Fernando López & Jesús Mur & Ana Angulo, 2014. "Spatial model selection strategies in a SUR framework. The case of regional productivity in EU," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 197-220, August.
    10. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    11. Viriya Taecharungroj, 2024. "Which Economic Sectors Influence Average Household Income? A Spatial Econometric Study of Thailand’s 76 Provinces," Economies, MDPI, vol. 12(2), pages 1-26, January.
    12. Benos, Nikos & Karagiannis, Stelios, 2013. "Do Cross-Section Dependence and Parameter Heterogeneity Matter? Evidence on Human Capital and Productivity in Greece," MPRA Paper 53326, University Library of Munich, Germany.
    13. Yazgan Şekip & Yalçinkaya Ömer, 2018. "The Effects of Research and Development (R&D) Investments on Sustainable Economic Growth: Evidence from OECD Countries (1996-2015)," Review of Economic Perspectives, Sciendo, vol. 18(1), pages 3-23, March.
    14. Paolo Postiglione & Maria Simona Andreano & Roberto Benedetti, 2017. "Spatial Clusters in EU Productivity Growth," Growth and Change, Wiley Blackwell, vol. 48(1), pages 40-60, March.

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    More about this item

    Keywords

    C21; C14; R11; R12;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • 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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