Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software
1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which mak...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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New York, NY
Springer US
2001
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| Ausgabe: | 1st ed. 2001 |
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| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | 1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which makes the units comparable the same function in terms of the kinds of resource they use and the types of output they produce. For example all bank branches to be compared would typically use staff and capital assets to effect income generating activities such as advancing loans, selling financial products and carrying out banking transactions on behalf of their clients. The efficiencies assessed in this context by DEA are intended to reflect the scope for resource conservation at the unit being assessed without detriment to its outputs, or alternatively, the scope for output augmentation without additional resources. The efficiencies assessed are comparative or relative because they reflect scope for resource conservation or output augmentation at one unit relative to other comparable benchmark units rather than in some absolute sense. We resort to relative rather than absolute efficiencies because in most practical contexts we lack sufficient information to derive the superior measures of absolute efficiency. DEA was initiated by Charnes Cooper and Rhodes in 1978 in their seminal paper Chames et al. (1978). The paper operationalised and extended by means of linear programming production economics concepts of empirical efficiency put forth some twenty years earlier by Farrell (1957) |
| Beschreibung: | 1 Online-Ressource (XXIII, 281 p) |
| ISBN: | 9781461514077 |
| DOI: | 10.1007/978-1-4615-1407-7 |
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| 520 | |a 1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which makes the units comparable the same function in terms of the kinds of resource they use and the types of output they produce. For example all bank branches to be compared would typically use staff and capital assets to effect income generating activities such as advancing loans, selling financial products and carrying out banking transactions on behalf of their clients. The efficiencies assessed in this context by DEA are intended to reflect the scope for resource conservation at the unit being assessed without detriment to its outputs, or alternatively, the scope for output augmentation without additional resources. The efficiencies assessed are comparative or relative because they reflect scope for resource conservation or output augmentation at one unit relative to other comparable benchmark units rather than in some absolute sense. We resort to relative rather than absolute efficiencies because in most practical contexts we lack sufficient information to derive the superior measures of absolute efficiency. DEA was initiated by Charnes Cooper and Rhodes in 1978 in their seminal paper Chames et al. (1978). The paper operationalised and extended by means of linear programming production economics concepts of empirical efficiency put forth some twenty years earlier by Farrell (1957) | ||
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| spelling | Thanassoulis, Emmanuel Verfasser aut Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software by Emmanuel Thanassoulis 1st ed. 2001 New York, NY Springer US 2001 1 Online-Ressource (XXIII, 281 p) txt rdacontent c rdamedia cr rdacarrier 1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which makes the units comparable the same function in terms of the kinds of resource they use and the types of output they produce. For example all bank branches to be compared would typically use staff and capital assets to effect income generating activities such as advancing loans, selling financial products and carrying out banking transactions on behalf of their clients. The efficiencies assessed in this context by DEA are intended to reflect the scope for resource conservation at the unit being assessed without detriment to its outputs, or alternatively, the scope for output augmentation without additional resources. The efficiencies assessed are comparative or relative because they reflect scope for resource conservation or output augmentation at one unit relative to other comparable benchmark units rather than in some absolute sense. We resort to relative rather than absolute efficiencies because in most practical contexts we lack sufficient information to derive the superior measures of absolute efficiency. DEA was initiated by Charnes Cooper and Rhodes in 1978 in their seminal paper Chames et al. (1978). The paper operationalised and extended by means of linear programming production economics concepts of empirical efficiency put forth some twenty years earlier by Farrell (1957) Economic Theory/Quantitative Economics/Mathematical Methods Operations Research/Decision Theory Econometrics Microeconomics Economic theory Operations research Decision making Produktivitätsmessung (DE-588)4175810-9 gnd rswk-swf Effizienzanalyse (DE-588)4151072-0 gnd rswk-swf Produktivitätsmessung (DE-588)4175810-9 s Effizienzanalyse (DE-588)4151072-0 s DE-604 Erscheint auch als Druck-Ausgabe 9781461355380 Erscheint auch als Druck-Ausgabe 9780792374299 Erscheint auch als Druck-Ausgabe 9781461514084 https://doi.org/10.1007/978-1-4615-1407-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Thanassoulis, Emmanuel Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software Economic Theory/Quantitative Economics/Mathematical Methods Operations Research/Decision Theory Econometrics Microeconomics Economic theory Operations research Decision making Produktivitätsmessung (DE-588)4175810-9 gnd Effizienzanalyse (DE-588)4151072-0 gnd |
| subject_GND | (DE-588)4175810-9 (DE-588)4151072-0 |
| title | Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software |
| title_auth | Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software |
| title_exact_search | Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software |
| title_exact_search_txtP | Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software |
| title_full | Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software by Emmanuel Thanassoulis |
| title_fullStr | Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software by Emmanuel Thanassoulis |
| title_full_unstemmed | Introduction to the Theory and Application of Data Envelopment Analysis A Foundation Text with Integrated Software by Emmanuel Thanassoulis |
| title_short | Introduction to the Theory and Application of Data Envelopment Analysis |
| title_sort | introduction to the theory and application of data envelopment analysis a foundation text with integrated software |
| title_sub | A Foundation Text with Integrated Software |
| topic | Economic Theory/Quantitative Economics/Mathematical Methods Operations Research/Decision Theory Econometrics Microeconomics Economic theory Operations research Decision making Produktivitätsmessung (DE-588)4175810-9 gnd Effizienzanalyse (DE-588)4151072-0 gnd |
| topic_facet | Economic Theory/Quantitative Economics/Mathematical Methods Operations Research/Decision Theory Econometrics Microeconomics Economic theory Operations research Decision making Produktivitätsmessung Effizienzanalyse |
| url | https://doi.org/10.1007/978-1-4615-1407-7 |
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