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Malmquist productivity index decompositions: a unifying framework

In two widely cited but unpublished working papers, Simar and Wilson (1998) and Zofio and Lovell (1998) proposed an alternative decomposition of the Malmquist Productivity Index, which retained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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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. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455, October.
  2. Paul Cook & Yuichiro Uchida, 2002. "Productivity growth in east Asia: a reappraisal," Applied Economics, Taylor & Francis Journals, vol. 34(10), pages 1195-1207.
  3. 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).
  4. Franco Fiordelisi & Philip Molyneux, 2004. "Efficiency in the factoring industry," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 947-959.
  5. 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.
  6. Joaquín Maudos Villarroya & José Manuel Pastor Monsálvez & Lorenzo Serrano Martínez, 1998. "- Convergence In Oecd Countries: Technical Change, Efficiency And Productivity," Working Papers. Serie EC 1998-21, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  7. Mickael Lothgren & Magnus Tambour, 1999. "Bootstrapping the data envelopment analysis Malmquist productivity index," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 417-425.
  8. Diewert, Erwin, 2007. "Index Numbers," Economics working papers diewert-07-01-03-08-17-23, Vancouver School of Economics, revised 31 Jan 2007.
  9. 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.
  10. 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.
  11. 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.
  12. C. Lovell, 2003. "The Decomposition of Malmquist Productivity Indexes," Journal of Productivity Analysis, Springer, vol. 20(3), pages 437-458, November.
  13. Luis Orea, 2002. "Parametric Decomposition of a Generalized Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 18(1), pages 5-22, July.
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