Measuring Input-Specific Productivity Change Based on the Principle of Least Action
Posted: 4 Aug 2016
Date Written: Ocotober 10, 2015
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, which is related to the notion of least distance. The new method also allows for the determination of strongly efficient targets. This model is operationalized in the form of a non-radial Luenberger productivity indicator based on data envelopment analysis. In our approach overall productivity change is the sum of input-specific 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.
Keywords: Data Envelopment Analysis, weighted additive model, closest targets, input-specific productivity change
JEL Classification: C43, C61, Q12
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