Efficiency Measurement With A Three-Stage Hybrid Method
| Autor: | Ertuğrul, İrfan, Öztaş, Tayfun |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Index (economics)
Grey relational analysis Financial ratio Ocean Engineering Clustering lcsh:Education (General) malmquist index Malmquist index Data envelopment analysis Statistics Analysis Efficiency measurement Education Scientific Disciplines Total factor productivity Productivity Mathematics efficiency measurement Eğitim Bilimsel Disiplinler Efficiency measurement Grey Relational Analysis Data Envelopment Analysis Malmquist index Clustering Efficiency grey relational analysis Grey Relational Analysis Data Envelopment Eğitim Eğitim Araştırmaları data envelopment analysis lcsh:L lcsh:L7-991 clustering lcsh:Education |
| Zdroj: | International Journal of Assessment Tools in Education, Vol 5, Iss 2, Pp 370-388 (2018) International Journal of Assessment Tools in Education Volume: 5, Issue: 2 370-388 |
| ISSN: | 2148-7456 |
| Popis: | Data Envelopment Analysis (DEA) is one of the most widely used efficiency measurement techniques in the literature. In the method developed by Charnes, Cooper, and Rhodes, the relation between input(s) and output(s) is examined and relative efficiency values are obtained for many decision-making units. In order to be able to accurately measure the efficiency with Data Envelopment Analysis, the selection of input and output variables needs to be done carefully otherwise, the results may be misleading. For this purpose, it is aimed to make an objective selection process by using Grey Relational Analysis (GRA) in the identification of variables in the study. Via this method 17 financial ratios of 20 firms in the BIST Food Index for the period of 2013-2015 categorized into 4 groups, then each category clustered and the ratios which have the highest correlation within each cluster selected as representative indicator. Thus, 3 inputs and 2 output variables were selected so that the number of variables was reduced from 17 to 5. An input-oriented BCC model was established with selected variables to determine the efficiencies of firms in each period. The Malmquist Total Factor Productivity Index was used to analyze the productivity changes between periods. It was concluded that 7 firms were efficient in each year and the productivity of the sector increased between the periods as a result of the analysis. DataEnvelopment Analysis (DEA) is one of the most widely used efficiencymeasurement techniques in the literature. In the method developed by Charnes, Cooper, and Rhodes, the relationbetween input(s) and output(s) is examined and relative efficiency values areobtained for many decision-making units. In order to be able to accuratelymeasure the efficiency with DataEnvelopment Analysis, the selection of input and output variables needs to bedone carefully otherwise, the results may be misleading. For this purpose, itis aimed to make an objective selection process by using Grey RelationalAnalysis (GRA) in the identification of variables in the study. Via this method17 financial ratios of 20 firms in the BIST Food Index for the period of2013-2015 categorized into 4 groups, then each category clustered and theratios which have the highest correlation within each cluster selected as representative indicator. Thus, 3 inputs and 2output variables were selected so that the number of variables was reduced from17 to 5. An input-oriented BCC model wasestablished with selected variables to determine the efficiencies of firms ineach period. The Malmquist Total Factor Productivity Index was used to analyzethe productivity changes between periods. It was concluded that 7 firms wereefficient in each year and the productivity of the sector increased between theperiods as a result of the analysis. |
| Databáze: | OpenAIRE |
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