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

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Author Info
Nancy Y. C. 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.

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Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 38 (2006)
Issue (Month): 19 (October)
Pages: 2299-2314
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Handle: RePEc:taf:applec:v:38:y:2006:i:19:p:2299-2314

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  1. David Hauner, 2004. "Explaining Efficiency Differences Among Large German and Austrian Banks," IMF Working Papers 04/140, International Monetary Fund. [Downloadable!]
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  2. Renuka Mahadevan, 2000. "Sources of output growth in Singapore's services sector," Empirical Economics, Springer, vol. 25(3), pages 495-506. [Downloadable!] (restricted)
  3. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor and Francis Journals, vol. 36(15), pages 1631-1641, August. [Downloadable!] (restricted)
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  4. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140. [Downloadable!] (restricted)
  5. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July. [Downloadable!] (restricted)
  6. Griliches, Zvi, 1988. "Productivity Puzzles and R&D: Another Nonexplanation," Journal of Economic Perspectives, American Economic Association, vol. 2(4), pages 9-21, Fall. [Downloadable!] (restricted)
  7. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Applied Economics, Taylor and Francis Journals, vol. 36(12), pages 1255-1263, July. [Downloadable!] (restricted)
  8. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June. [Downloadable!] (restricted)
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