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Firm heterogeneity in productivity across Europe: evidence from multilevel models

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  • Francesco Aiello
  • Fernanda Ricotta

Abstract

This paper analyses the Total Factor Productivity (TFP) heterogeneity of a sample of manufacturing firms operating in seven EU countries (Austria, France, Germany, Hungary, Italy, Spain and the UK). TFP data refer to 2008. The empirical setting is based on the multilevel modeling which provides two main results. Firstly, we show that TFP heterogeneity is largely due to firm-specific features (85% of TFP variability in the empty model). Interestingly, we find that some key-drivers of firm performance (size, family management, group membership, innovations and human capital) are significantly related to TFP, but do not, on the whole, absorb much of firm TFP variance, implying that differences in productivity are due to notable yet unobservable firm characteristics. Secondly, as far the role of localization is concerned, we demonstrate that the country effect is more influential than region effect in explaining individual productivity. Net of the country effect, the localization in different European regions explains about 5% of TFP firm heterogeneity. When considering the case of three individual countries, France, Italy and Spain, location in different regions explains 5.3% of TFP heterogeneity in Italy, while this proportion is lower (3.6%) in France and higher (9.9%) in Spain.

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  • Francesco Aiello & Fernanda Ricotta, 2016. "Firm heterogeneity in productivity across Europe: evidence from multilevel models," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(1), pages 57-89, January.
  • Handle: RePEc:taf:ecinnt:v:25:y:2016:i:1:p:57-89
    DOI: 10.1080/10438599.2015.1057001
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    4. Ugur, Mehmet & Churchill, Sefa Awaworyi & Luong, Hoang M., 2020. "What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power," Research Policy, Elsevier, vol. 49(1).
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    7. Fernanda Ricotta, 2019. "The Quality of Regional Government and Firm Performance," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(2), pages 27-40, February.
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    9. Sergio Paba & Giovanni Solinas & Luca Bonacini & Silvia Fareri, 2020. "Robots, Trade and Employment in Italian Local Labour Systems," Department of Economics 0183, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
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    11. Agostino, Mariarosaria & Nifo, Annamaria & Trivieri, Francesco & Vecchione, Gaetano, 2016. "Total factor productivity heterogeneity: channelling the impact of institutions," MPRA Paper 72759, University Library of Munich, Germany.
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    13. Mohamed Amara, 2019. "Firm Performance and Agglomeration Effects: Evidence from Tunisian Firm-level Data," Working Papers 1297, Economic Research Forum, revised 2019.
    14. Yizhong Wang & Linying Lv & Shanqiao Xia, 2022. "Initial public offering, corporate innovation and total factor productivity: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4695-4726, December.
    15. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.

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