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Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis


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Title:
Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis
Authors:
Aparicio Baeza, Juan
García Nové, Eva María
Kapelko, Magdalena
Pastor Ciurana, Jesús Tadeo
Department:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Issue Date:
2016-11-03
Abstract:
This paper proposes a new method to measure productivity change of decision making units in the full input-output space. The new approach is based on the calculation of the least distance to the Pareto-efficient frontier and hence provides the closest targets for evaluated decision making units to reach the strongly efficient frontier with least effort. Another advantage of the new methodology is that it always leads to feasible solutions. The productivity change in the new approach is operationalized as a Luenberger-type indicator in the Data Envelopment Analysis framework and it is decomposed into efficiency change and technical change. The paper empirically illustrates the new method using recent data on the Spanish quality wine sector.
Keywords/Subjects:
Data envelopment analysis
Productivity change
Closest targets
Least distances
Principle of Least Action
Graph measures
Type of document:
application/pdf
Access rights:
info:eu-repo/semantics/openAccess
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