Measuring input-specific productivity change based on the principle of least action

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• 作者：Juan Aparicio ; Magdalena Kapelko ; Bernhard Mahlberg…
• 关键词：Data envelopment analysis ; Weighted additive model ; Closest targets ; Input ; specific productivity change
• 刊名：Journal of Productivity Analysis
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：47
• 期：1
• 页码：17-31
• 全文大小：
• 刊物类别：Business and Economics
• 刊物主题：Microeconomics; Econometrics; Operation Research/Decision Theory; Accounting/Auditing;
• 出版者：Springer US
• ISSN：1573-0441
• 卷排序：47

文摘

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 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.