Evaluating the comparative efficiency of Chinese third‐party logistics providers using data envelopment analysis

2008 ◽  
Vol 38 (4) ◽  
pp. 262-279 ◽  
Author(s):  
Gengui Zhou ◽  
Hokey Min ◽  
Chao Xu ◽  
Zhenyu Cao
Keyword(s):  
Data Envelopment Analysis ◽  
Third Party ◽  
Data Envelopment ◽  
Third Party Logistics ◽  
Comparative Efficiency ◽  
Using Data

Comparative Efficiency Assessment of Primary Care Service Delivery Models Using Data Envelopment Analysis

2011 ◽  
Vol 37 (1) ◽  
pp. 85-109 ◽  
Author(s):  
Olga Milliken ◽  
Rose Anne Devlin ◽  
Victoria Barham ◽  
William Hogg ◽  
Simone Dahrouge ◽  
...  
Keyword(s):  
Primary Care ◽  
Data Envelopment Analysis ◽  
Service Delivery ◽  
Care Service ◽  
Data Envelopment ◽  
Comparative Efficiency ◽  
Service Delivery Models ◽  
Efficiency Assessment ◽  
Using Data ◽  
Delivery Models

scholarly journals Technical and Scale Efficiency in Spanish Urban Transport: Estimating with Data Envelopment Analysis

2009 ◽  
Vol 2009 ◽  
pp. 1-15 ◽  
Author(s):  
I. M. García Sánchez
Keyword(s):  
Data Envelopment Analysis ◽  
Principal Components ◽  
Supply And Demand ◽  
Quality Parameter ◽  
Urban Transport ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Comparative Efficiency ◽  
Using Data

The paper undertakes a comparative efficiency analysis of public bus transport in Spain using Data Envelopment Analysis. A procedure for efficiency evaluation was established with a view to estimating its technical and scale efficiency. Principal components analysis allowed us to reduce a large number of potential measures of supply- and demand-side and quality outputs in three statistical factors assumed in the analysis of the service. A statistical analysis (Tobit regression) shows that efficiency levels are negative in relation to the population density and peak-to-base ratio. Nevertheless, efficiency levels are not related to the form of ownership (public versus private). The results obtained for Spanish public transport show that the average pure technical and scale efficiencies are situated at 94.91 and 52.02%, respectively. The excess of resources is around 6%, and the increase in accessibility of the service, one of the principal components summarizing the large number of output measures, is extremely important as a quality parameter in its performance.

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