Efficiency Measurement of Financial Innovation System Based on Data Envelopment Analysis

2008 ◽  
Author(s):  
Dan Shi
Keyword(s):  
Data Envelopment Analysis ◽  
Innovation System ◽  
Financial Innovation ◽  
Efficiency Measurement ◽  
Data Envelopment

Efficiency measurement of the maintenance of paved lanes using data envelopment analysis

2012 ◽  
Vol 30 (11) ◽  
pp. 995-1009 ◽  
Author(s):  
Mehmet Egemen Ozbek ◽  
Jesus M. de la Garza ◽  
Konstantinos Triantis
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Measurement ◽  
Data Envelopment ◽  
Using Data

scholarly journals Applications of DEA

2019 ◽  
Vol 8 (12) ◽  
pp. 3337-3341
Keyword(s):  
Sensitivity Analysis ◽  
Data Envelopment Analysis ◽  
Variable Selection ◽  
Efficiency Measurement ◽  
Data Envelopment ◽  
Selection Methods ◽  
Seminal Paper ◽  
The Public ◽  
Methodological Aspects

Data Envelopment Analysis (DEA), an efficiency measurement and benchmarking technique originated in 1978 with the publication of the seminal paper of Charnes et al (1978) has evolved into an important technique over the years. This paper attempts to critically review the various methodological aspects of DEA for application in any domain in the public or private sectors. In specific it reviews some of the important literature available on a) variable selection methods in DEA, b) Sensitivity analysis and ranking of DMUs and c) some of the applications it has been put into over the last four decades. The focus is on specific practical aspects of applying DEA in any particular field.

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