Data Envelopment Analysis and the Quality Frontier for Public Services

David John Mayston

doi:10.13140/RG.2.1.1649.3608

Data Envelopment Analysis and the Quality Frontier for Public Services

David John Mayston

Economics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The paper examines the challenges posed to the application of the widely-used frontier performance analysis technique of Data Envelopment Analysis by the inclusion of quality variables in the output vector for public services.

Original language	English
Title of host publication	Recent Developments in Data Envelopment Analysis and Its Applications
Subtitle of host publication	Proceedings of the 12th International Conference of DEA
Editors	Ali Emrouznejad, Rajiv Banker, Susila M. Doraisamy, Behrouz Arabi
Publisher	International Conference on Data Envelopment Analysis
Pages	99-104
Number of pages	6
ISBN (Electronic)	978 1 85449 487 0
DOIs	https://doi.org/10.13140/RG.2.1.1649.3608
Publication status	Published - Nov 2014
Event	12th International Conference on DEA - Kuala Lumpur, Malaysia Duration: 19 Apr 2014 → …

Conference

Conference	12th International Conference on DEA
Country/Territory	Malaysia
City	Kuala Lumpur
Period	19/04/14 → …

Keywords

Date Envelopment Analysis
Public Services
Quality

Access to Document

10.13140/RG.2.1.1649.3608

http://deazone.com/proceedings/DEA2014-Proceedings.pdf

Cite this

Mayston, D. J. (2014). Data Envelopment Analysis and the Quality Frontier for Public Services. In A. Emrouznejad, R. Banker, S. M. Doraisamy, & B. Arabi (Eds.), Recent Developments in Data Envelopment Analysis and Its Applications: Proceedings of the 12th International Conference of DEA (pp. 99-104). International Conference on Data Envelopment Analysis . https://doi.org/10.13140/RG.2.1.1649.3608

Mayston, David John. / Data Envelopment Analysis and the Quality Frontier for Public Services. Recent Developments in Data Envelopment Analysis and Its Applications: Proceedings of the 12th International Conference of DEA. editor / Ali Emrouznejad ; Rajiv Banker ; Susila M. Doraisamy ; Behrouz Arabi. International Conference on Data Envelopment Analysis , 2014. pp. 99-104

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title = "Data Envelopment Analysis and the Quality Frontier for Public Services",

abstract = "The paper examines the challenges posed to the application of the widely-used frontier performance analysis technique of Data Envelopment Analysis by the inclusion of quality variables in the output vector for public services.",

keywords = "Date Envelopment Analysis, Public Services, Quality",

author = "Mayston, {David John}",

year = "2014",

month = nov,

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note = "12th International Conference on DEA ; Conference date: 19-04-2014",

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Mayston, DJ 2014, Data Envelopment Analysis and the Quality Frontier for Public Services. in A Emrouznejad, R Banker, SM Doraisamy & B Arabi (eds), Recent Developments in Data Envelopment Analysis and Its Applications: Proceedings of the 12th International Conference of DEA. International Conference on Data Envelopment Analysis , pp. 99-104, 12th International Conference on DEA, Kuala Lumpur, Malaysia, 19/04/14. https://doi.org/10.13140/RG.2.1.1649.3608

Data Envelopment Analysis and the Quality Frontier for Public Services. / Mayston, David John.
Recent Developments in Data Envelopment Analysis and Its Applications: Proceedings of the 12th International Conference of DEA. ed. / Ali Emrouznejad; Rajiv Banker; Susila M. Doraisamy; Behrouz Arabi. International Conference on Data Envelopment Analysis , 2014. p. 99-104.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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KW - Quality

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DO - 10.13140/RG.2.1.1649.3608

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BT - Recent Developments in Data Envelopment Analysis and Its Applications

A2 - Emrouznejad, Ali

A2 - Banker, Rajiv

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Mayston DJ. Data Envelopment Analysis and the Quality Frontier for Public Services. In Emrouznejad A, Banker R, Doraisamy SM, Arabi B, editors, Recent Developments in Data Envelopment Analysis and Its Applications: Proceedings of the 12th International Conference of DEA. International Conference on Data Envelopment Analysis . 2014. p. 99-104 doi: 10.13140/RG.2.1.1649.3608