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Sources of output growth in Singapore's services sector

Author

Listed:
  • Renuka Mahadevan

    () (Department of Economics, The University of Queensland, St. Lucia, Qld 4072, Australia)

Abstract

As services are an important engine of growth for Singapore, this paper attempts to empirically investigate the sources of output growth in this sector to shed light on the debate sparked off by Krugman (1994) on the miraculous or mythical growth of Singapore and the other newly industralizing Southeast Asian economies. This is done by using the stochastic production frontier model with panel data. Unlike existing studies which used the conventional growth accounting approach to decompose output growth into just input growth and total factor productivity (TFP) growth, this approach further decomposes TFP growth into technological progress and changes in technical efficiency.

Suggested Citation

  • Renuka Mahadevan, 2000. "Sources of output growth in Singapore's services sector," Empirical Economics, Springer, vol. 25(3), pages 495-506.
  • Handle: RePEc:spr:empeco:v:25:y:2000:i:3:p:495-506
    Note: received: December 1998 / Final version received: February 2000
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    Citations

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    Cited by:

    1. Boon L. Lee, 2013. "Productivity, technical and efficiency change in Singapore's services sector, 2005 to 2008," Applied Economics, Taylor & Francis Journals, vol. 45(15), pages 2023-2029, May.
    2. Mahadevan, Renuka & Kim, Sangho, 2003. "Is output growth of Korean manufacturing firms productivity-driven?," Journal of Asian Economics, Elsevier, vol. 14(4), pages 669-678, August.
    3. Boon Lee, 2011. "Distribution Trade Sector Output and Productivity Performance: A Case Study of Singapore and Hong Kong 2001-2008," School of Economics and Finance Discussion Papers and Working Papers Series 270, School of Economics and Finance, Queensland University of Technology.

    More about this item

    Keywords

    Total factor productivity growth · technical efficiency · technological progress;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • L8 - Industrial Organization - - Industry Studies: Services

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