Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/39745

The standard total factor productivity index and its decomposition


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Title:
The standard total factor productivity index and its decomposition
Authors:
Aparicio Baeza, Juan
Santín González, Daniel
Editor:
Elsevier
Department:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Issue Date:
2026
URI:
https://hdl.handle.net/11000/39745
Abstract:
The Malmquist productivity index is one of the best known and most widely used measures in the economic literature to quantify and decompose changes in productivity of multi-input multi-output production processes over time. Two main approaches are used to calculate this index: the adjacent Malmquist index and the base period Malmquist index. No base period is required to calculate the adjacent Malmquist index, but it fails to comply with the circularity property. The base period Malmquist index uses the technology of a base period and is circular, but the base period choice is arbitrary. There is, therefore, a trade-off between the choice of one or another version of the Malmquist index. The aim of this paper is to introduce a new total factor productivity index that is simultaneously circular and does not need to resort to a base period or ad hoc reference. To this end, we propose a new multi-input multi-output reference production technology for use as a standard for measuring and decomposing total factor productivity changes. The standard production technology is conceptually attractive because its parameterization is versatile and adaptable to the evolution of a set of firms performing any multi-input multi-output production process. Additionally, the new approach can bring about a true total factor productivity index, which can be decomposed into an output change and an input change.
Keywords/Subjects:
productivity change
Malmquist index
technical change
efficiency change
standard reference technology
Knowledge area:
CDU: Ciencias puras y naturales: Matemáticas
CDU: Ciencias sociales: Demografía. Sociología. Estadística: Estadística
CDU: Ciencias sociales: Economía
CDU: Generalidades.: Ciencia y tecnología de los ordenadores. Informática.
Type of document:
info:eu-repo/semantics/article
Access rights:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI:
https://doi.org/10.1016/j.ejor.2025.08.005
Published in:
European Journal of Operational Research (EJOR)
Appears in Collections:
Artículos - Estadística, Matemáticas e Informática



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