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Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities

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  • Victoria Shestalova

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Abstract

The paper applies both the standard DEA methodology with contemporaneous frontiers and DEA with sequential frontiers to study changes in productivity and efficiency in manufacturing for a sample of eleven OECD countries over a twenty-year period. It uses a decomposition of the industrial Malmquist productivity indices to locate the sources of productivity growth: 'technical progress' and 'catching up.' The alternative indices are interrelated in a unifying framework that provides an interpretation to their difference. We argue that for manufacturing industries, in which technological regress is unlikely to occur, DEA with sequential frontiers provides a more adequate measure for the contribution of technical changes than standard DEA. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Victoria Shestalova, 2003. "Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 211-226, April.
  • Handle: RePEc:kap:jproda:v:19:y:2003:i:2:p:211-226
    DOI: 10.1023/A:1022857501478
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    References listed on IDEAS

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    1. De Borger, Bruno & Kerstens, Kristiaan, 2000. " The Malmquist Productivity Index and Plant Capacity Utilization," Scandinavian Journal of Economics, Wiley Blackwell, vol. 102(2), pages 303-310, June.
    2. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
    3. Abramovitz, Moses, 1986. "Catching Up, Forging Ahead, and Falling Behind," The Journal of Economic History, Cambridge University Press, vol. 46(02), pages 385-406, June.
    4. Taskin, Fatma & Zaim, Osman, 1997. "Catching-up and innovation in high- and low-income countries," Economics Letters, Elsevier, vol. 54(1), pages 93-100, January.
    5. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    6. Gouyette, Claudine & Perelman, Sergio, 1997. "Productivity convergence in OECD service industries," Structural Change and Economic Dynamics, Elsevier, vol. 8(3), pages 279-295, August.
    7. Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects," European Journal of Operational Research, Elsevier, vol. 80(3), pages 474-499, February.
    8. Weber, William L. & Domazlicky, Bruce R., 1999. "Total factor productivity growth in manufacturing: a regional approach using linear programming," Regional Science and Urban Economics, Elsevier, vol. 29(1), pages 105-122, January.
    9. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    10. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-251, April.
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