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Semiparametric stochastic metafrontier efficiency of European manufacturing firms

Author

Listed:
  • Marijn Verschelde

    (IÉSEG School of Management, LEM (UMR-CNRS 9221)
    KU Leuven)

  • Michel Dumont

    (Federal Planning Bureau
    Ghent University)

  • Glenn Rayp

    (Ghent University)

  • Bruno Merlevede

    (Ghent University)

Abstract

In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into the performance of manufacturing firms in Europe. We differ from standard TFP studies at the firm level as we simultaneously allow for inefficiency , noise and do not impose a functional form on the input–output relation. Using AMADEUS firm-level data covering ten manufacturing sectors from seven EU15 countries, (1) we document substantial and persistent differences in performance (with Belgium and Germany as benchmark countries and Spain lagging behind) and a wide technology gap, (2) we confirm the absence of convergence in TFP between the seven selected countries, (3) we highlight a more pronounced technology gap for smaller firms.

Suggested Citation

  • Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2016. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Journal of Productivity Analysis, Springer, vol. 45(1), pages 53-69, February.
    • Handle: RePEc:kap:jproda:v:45:y:2016:i:1:d:10.1007_s11123-015-0458-7
    DOI: 10.1007/s11123-015-0458-7
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    8. Pinar Celikkol Geylani & Magdalena Kapelko & Spiro E. Stefanou, 2021. "Dynamic productivity change differences between global and non-global firms: a firm-level application to the U.S. food and beverage industries," Operational Research, Springer, vol. 21(2), pages 901-923, June.
    9. Koch, Nicolas & Themann, Michael, 2022. "Catching up and falling behind: Cross-country evidence on the impact of the EU ETS on firm productivity," Resource and Energy Economics, Elsevier, vol. 69(C).
    10. Jin, Qianying & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2020. "Metafrontier productivity indices: Questioning the common convexification strategy," European Journal of Operational Research, Elsevier, vol. 283(2), pages 737-747.
    11. Zdeňka Náglová & Marie Šimpachová Pechrová, 2019. "Are Wine Producers With Subsidies More Technically Efficient?," Central European Business Review, Prague University of Economics and Business, vol. 2019(1), pages 1-14.
    12. Cherchye, Laurens & De Rock, Bram & Kerstens, Pieter Jan, 2018. "Production with storable and durable inputs: Nonparametric analysis of intertemporal efficiency," European Journal of Operational Research, Elsevier, vol. 270(2), pages 498-513.
    13. Michel Dumont & Chantal Kegels, 2016. "Working Paper 06-16 - Young Firms and Industry Dynamics in Belgium," Working Papers 1606, Federal Planning Bureau, Belgium.
    14. Ang, Frederic & Kerstens, Pieter Jan, 2020. "A superlative indicator for the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1161-1173.
    15. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    16. Roets, Bart & Verschelde, Marijn & Christiaens, Johan, 2018. "Multi-output efficiency and operational safety: An analysis of railway traffic control centre performance," European Journal of Operational Research, Elsevier, vol. 271(1), pages 224-237.
    17. Pierluigi Toma, 2020. "Size and productivity: a conditional approach for Italian pharmaceutical sector," Journal of Productivity Analysis, Springer, vol. 54(1), pages 1-12, August.
    18. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    19. Themann, Michael & Koch, Nicolas, 2021. "Catching up and falling behind: Cross-country evidence on the impact of the EU ETS on firm productivity," Ruhr Economic Papers 904, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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    More about this item

    Keywords

    Productive efficiency; Metafrontier estimation; Semiparametric frontier; Kernel estimation; Stochastic frontier; Manufacturing;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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