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Productivity of Services in the Countries of Central and Eastern Europe: Analysis Using Malmquist Indices

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  • Alejandro Alcalá-Ordóñez

    (Department of Economics, University of Jaen, 23071 Jaén, Spain)

  • Francisco Alcalá-Olid

    (Department of Economics, University of Jaen, 23071 Jaén, Spain)

  • Pablo Juan Cárdenas-García

    (Department of Economics, University of Jaen, 23071 Jaén, Spain)

Abstract

This research aims to study the growth of productivity in the service sector in the former Central and Eastern European Countries (CEECs) and their determinants. For this purpose, non-parametric frontier techniques were used to measure the variations in productivity and determine the explanatory factors of these changes in total factor productivity; the methodology of the Malmquist index with output orientation and its decomposition in technical change, pure technical efficiency and scale efficiency was used for the period 2000–2019. The results obtained indicate that the productivity of services in the most recently incorporated countries grew by 1.3 per 100 on average per year compared to 1.6 per 100 in manufacturing. The most important driver of such growth was found to be improvement in technical change (frontier shift) rather than improvement in efficiency.

Suggested Citation

  • Alejandro Alcalá-Ordóñez & Francisco Alcalá-Olid & Pablo Juan Cárdenas-García, 2023. "Productivity of Services in the Countries of Central and Eastern Europe: Analysis Using Malmquist Indices," Economies, MDPI, vol. 11(3), pages 1-18, March.
  • Handle: RePEc:gam:jecomi:v:11:y:2023:i:3:p:91-:d:1096511
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    References listed on IDEAS

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    1. Odeck, James, 2008. "How efficient and productive are road toll companies?: Evidence from Norway," Transport Policy, Elsevier, vol. 15(4), pages 232-241, July.
    2. Astrid Cullmann & Christian Von Hirschhausen, 2008. "From transition to competition Dynamic efficiency analysis of Polish electricity distribution companies1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 16(2), pages 335-357, April.
    3. Faridah Djellal & Faïz Gallouj, 2010. "Beyond productivity strategies in services," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 89-104.
    4. Bert Balk, 2001. "Scale Efficiency and Productivity Change," Journal of Productivity Analysis, Springer, vol. 15(3), pages 159-183, May.
    5. Faridah Djellal & Faïz Gallouj, 2008. "Measuring and Improving Productivity in Services," Books, Edward Elgar Publishing, number 12734.
    6. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    7. Edward N. Wolff, 1999. "The productivity paradox: evidence from indirect indicators of service sector productivity growth," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 281-308, April.
    8. Mohsen Afsharian & Heinz Ahn, 2015. "The overall Malmquist index: a new approach for measuring productivity changes over time," Annals of Operations Research, Springer, vol. 226(1), pages 1-27, March.
    9. C. Lovell, 2003. "The Decomposition of Malmquist Productivity Indexes," Journal of Productivity Analysis, Springer, vol. 20(3), pages 437-458, November.
    10. Kenneth I. Carlaw & Richard G. Lipsey, 2003. "Productivity, Technology and Economic Growth: What is the Relationship?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 457-495, July.
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