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https://hdl.handle.net/11000/4938
Measuring input-specific productivity change based on the principle of least action
Title: Measuring input-specific productivity change based on the principle of least action |
Authors: Aparicio, Juan ![](/image/ORCID.jpg) Kapelko, Magdalena Mahlberg, Bernhard Sainz-Pardo Auñón, José Luis |
Department: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Issue Date: 2016-12-22 |
URI: http://hdl.handle.net/11000/4938 |
Abstract:
In for-profit organizations, efficiency and productivity measurement with reference to the potential for input-specific reductions is particularly important and has been the focus of interest in the recent literature. Different approaches can be formulated to measure and decompose
input-specific productivity change over time. In this paper, we highlight some problems within existing approaches and propose a new methodology based on the Principle of Least Action. In particular, this model is operationalized in the form of a non-radial Luenberger productivity indicator
based on the determination of the least distance to the strongly efficient frontier of the considered production possibility sets, which are estimated by non-parametric techniques based upon Data Envelopment Analysis. In our approach, overall productivity change is the sum of inputspecific
productivity changes. Overall productivity change
and input-specific changes are broken up into indicators of efficiency change and technical change. This decomposition
enables the researcher to quantify the contributions of each production factor to productivity change and its components.
In this way, the drivers of productivity development
are revealed. For illustration purposes the new approach is applied to a recent dataset of Polish dairy processing firms
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Keywords/Subjects: Data envelopment analysis Weighted additive model Closest targets Input-specific productivity change |
Knowledge area: Análisis |
Type of document: application/pdf |
Access rights: info:eu-repo/semantics/openAccess |
DOI: http://dx.doi.org/ 10.1007/s11123-016-0488-9 |
Appears in Collections: Artículos Estadística, Matemáticas e Informática
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