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Malmquist productivity index decompositions: a unifying framework

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  • Jose Zofio

Abstract

In two widely cited but unpublished working papers, Simar and Wilson (1998) and Zofio and Lovell (1998) proposed an alternative decomposition of the Malmquist Productivity Index, which retained what seemed to be the strongholds of previous proposals with regard to the contribution of technological and efficiency change to productivity change. Namely, a technical change term with regard to the best practice variable returns to scale (VRS) technology, which is to be found in Ray and Desli (1997) and a scale efficiency change term that illustrates a firm's situation with regard to optimal scale (benchmark technology), Fare et al. (1994). Attaining this objective required the introduction of an additional term in the Malmquist Productivity Index decomposition, which would reflect the scale bias of technical change. It is our objective to provide economic rationale for this term within a theory of production context, the existing decompositions and recent articles that further elaborate on this issue. The ideas are illustrated using productivity trends in 17 OECD countries.

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Bibliographic Info

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

Volume (Year): 39 (2007)
Issue (Month): 18 ()
Pages: 2371-2387

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Handle: RePEc:taf:applec:v:39:y:2007:i:18:p:2371-2387

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  1. Joaquin Maudos & Jose Manuel Pastor & Lorenzo Serrano, 2000. "Convergence in OECD countries: technical change, efficiency and productivity," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 757-765.
  2. Franco Fiordelisi & Philip Molyneux, 2004. "Efficiency in the factoring industry," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 947-959.
  3. Leone Leonida & Carmelo Petraglia & Luis Murillo-Zamorano, 2004. "Total factor productivity and the convergence hypothesis in the Italian regions," Applied Economics, Taylor & Francis Journals, vol. 36(19), pages 2187-2193.
  4. Jose Zofio & C. A. Knox Lovell, 2001. "Graph efficiency and productivity measures: an application to US agriculture," Applied Economics, Taylor & Francis Journals, vol. 33(11), pages 1433-1442.
  5. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
  6. Diewert, Erwin, 2007. "Index Numbers," Economics working papers diewert-07-01-03-08-17-23, Vancouver School of Economics, revised 31 Jan 2007.
  7. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-39, December.
  8. Paul Cook & Yuichiro Uchida, 2002. "Productivity growth in east Asia: a reappraisal," Applied Economics, Taylor & Francis Journals, vol. 34(10), pages 1195-1207.
  9. C. Lovell, 2003. "The Decomposition of Malmquist Productivity Indexes," Journal of Productivity Analysis, Springer, vol. 20(3), pages 437-458, November.
  10. SIMAR, Léopold & WILSON, Paul W., 1998. "Productivity growth in industrialized countries," CORE Discussion Papers 1998036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  11. Luis Orea, 2002. "Parametric Decomposition of a Generalized Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 18(1), pages 5-22, July.
  12. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455, April.
  13. Mickael Lothgren & Magnus Tambour, 1999. "Bootstrapping the data envelopment analysis Malmquist productivity index," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 417-425.
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Cited by:
  1. Balk, B.M., 2001. "The Residual: On Monitoring and Benchmarking Firms, Industries, and Economies with respect to Productivity," ERIM Inaugural Address Series Research in Management EIA-2001-007-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  2. repec:hal:journl:halshs-00200086 is not listed on IDEAS
  3. Jakub Growiec, 2010. "On the measurement of technological progress across countries," National Bank of Poland Working Papers 73, National Bank of Poland, Economic Institute.
  4. Halkos, George & Tzeremes, Nickolaos, 2012. "Measuring seaports’ productivity: A Malmquist productivity index decomposition approach," MPRA Paper 40174, University Library of Munich, Germany.
  5. Giannis Karagiannis & C. A. K. Lovell, 2013. "Productivity Measurement In Radial Dea Models With Multiple Constant Inputs," CEPA Working Papers Series WP082013, School of Economics, University of Queensland, Australia.

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