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

Juan Aparicio , Ewa M. Garcia-Nove , Magdalena Kapelko , Jesus T. Pastor

Abstract

his 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
Author Juan Aparicio - [Universidad Miguel Hernandez de Elche]
Juan Aparicio,,
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, Ewa M. Garcia-Nove - [Universidad Miguel Hernandez de Elche]
Ewa M. Garcia-Nove,,
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, Magdalena Kapelko (MISaF / IZM / KL)
Magdalena Kapelko,,
- Katedra Logistyki
, Jesus T. Pastor - [Universidad Miguel Hernandez de Elche]
Jesus T. Pastor,,
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Journal seriesOmega - International Journal of Management Science, ISSN 0305-0483, (A 45 pkt)
Issue year2017
Vol72
Pages1-14
Publication size in sheets0.65
Keywords in Englishdata envelopment analysis, productivity change, closest targets, least distances, principle of least action, graph measures
ASJC Classification1802 Information Systems and Management; 1803 Management Science and Operations Research; 1408 Strategy and Management
DOIDOI:10.1016/j.omega.2016.10.005
URL http://dx.doi.org/10.1016/j.omega.2016.10.005
Languageen angielski
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Aparicio_Kapelko_Pastor_Graph-productivity2017.pdf 423,41 KB
Score (nominal)45
Score sourcejournalList
ScoreMinisterial score = 45.0, 26-11-2019, ArticleFromJournal
Publication indicators Scopus Citations = 0; WoS Citations = 1; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 2.805; WoS Impact Factor: 2017 = 4.311 (2) - 2017=5.525 (5)
Citation count*5 (2019-11-28)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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