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Estimating total factor productivity growth in Singapore at sectoral level using data envelopment analysis

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  • Nancy Kong
  • Jose Tongzon

Abstract

Trends in total factor productivity growth (TFPG) are examined in the ten major sectors of Singapore. Data are drawn from the Yearbook of Statistics, Singapore, (various issues) and Economic Survey of Singapore series ranging from the year 1985 to 2000. Due to the heterogeneous characteristic of each sector and non-availability of reliable input price data, this study uses a non-parametric, frontier methodology known as data envelopment analysis (DEA) to obtain the Malmquist Productivity Index at the sectoral level. The results can help Singapore identify the 'best practice' sector and laggards in three aspects: efficiency change, technical change and TFPG, which is the qualitative productivity improvements needed for long-term economic growth. The three sets of productivity estimates are adjusted for effects of inflation and business cycles so that they are more reliable for policy implications. This exercise will provide a platform for more detailed study on the determinants of TFP growth in different sectors and at the firm level in Singapore.

Suggested Citation

  • Nancy Kong & Jose Tongzon, 2006. "Estimating total factor productivity growth in Singapore at sectoral level using data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2299-2314.
    • Handle: RePEc:taf:applec:v:38:y:2006:i:19:p:2299-2314
    DOI: 10.1080/00036840500427544
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    References listed on IDEAS

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    Cited by:

    1. Jinhua Sun & Decai Tang & Haojia Kong & Valentina Boamah, 2022. "Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
    2. Boon L Lee, 2012. "Efficiency and Productivity of Singapore's Manufacturing Sector 2001-2010: An analysis using Simar and Wilson's (2007) bootstrapped truncated approach," School of Economics and Finance Discussion Papers and Working Papers Series 283, School of Economics and Finance, Queensland University of Technology.
    3. Oluremi Ogun, 2015. "A Fundamental-based Approach to Productivity Growth," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(3), pages 383-392, September.
    4. 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.
    5. Sandro Rondinella & Damiano B. Silipo, 2023. "The effects of chronic migraine on labour productivity: Evidence from Italy," LABOUR, CEIS, vol. 37(1), pages 1-32, March.
    6. Pramesh Krishnankutty & Bon-Gang Hwang & Carlos H. Caldas & Sriya Muralidharan & Daniel P. de Oliveira, 2019. "Assessing the Implementation of Best Productivity Practices in Maintenance Activities, Shutdowns, and Turnarounds of Petrochemical Plants," Sustainability, MDPI, vol. 11(5), pages 1-27, February.
    7. Azza El-Shinnawy, 2010. "Trends of Total Factor Productivity in Egypt’s Pharmaceutical Industry: Evidence from the Nonparametric Malmquist Index Approach," Working Papers 524, Economic Research Forum, revised 05 Jan 2010.
    8. 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.
    9. Fatima S. Al Shamsi & Hassan Aly & Mohamed El-Bassiouni, 2009. "Measuring and explaining the efficiencies of the United Arab Emirates banking system," Applied Economics, Taylor & Francis Journals, vol. 41(27), pages 3505-3519.

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