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Malmquist productivity index decompositions: a unifying framework

[Zeitschriftenartikel]

Zofio, Jose L.

Abstract

In two widely cited but unpublished working papers, Simar and Wilson (1998) and Zofío and Lovell (1998) proposed an alternative decomposition of the Malmquist Productivity Index, which retained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 a... mehr

In two widely cited but unpublished working papers, Simar and Wilson (1998) and Zofío and Lovell (1998) proposed an alternative decomposition of the Malmquist Productivity Index, which retained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 (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), Färe, Grosskopf, Norris and Zhang (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.... weniger

Klassifikation
Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Volkswirtschaftslehre

Freie Schlagwörter
Productivity Change; Malmquist Indices; Distance Functions

Sprache Dokument
Englisch

Publikationsjahr
2007

Seitenangabe
S. 2371-2387

Zeitschriftentitel
Applied Economics, 39 (2007) 18

DOI
https://doi.org/10.1080/00036840600606260

Status
Postprint; begutachtet (peer reviewed)

Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.