A nonparametric efficiency analysis of German public transport companies

2010 ◽  
Vol 46 (3) ◽  
pp. 436-445 ◽  
Author(s):  
Christian von Hirschhausen ◽  
Astrid Cullmann
Keyword(s):  
Public Transport ◽  
Efficiency Analysis ◽  
Nonparametric Efficiency ◽  
Nonparametric Efficiency Analysis

A Nonparametric Efficiency Analysis of Shanghai Public Transport Systems

2014 ◽  
Vol 505-506 ◽  
pp. 832-839 ◽  
Author(s):  
Zhong Tuan Zheng ◽  
Kai Zhong Jiang ◽  
Lei Zhou ◽  
Na Li ◽  
Zhong Cheng Wu
Keyword(s):  
Public Transport ◽  
Returns To Scale ◽  
Development Trend ◽  
Efficiency Analysis ◽  
Transport Systems ◽  
Transit System ◽  
Comparative Efficiency ◽  
Urban Public Transport ◽  
Nonparametric Efficiency ◽  
Nonparametric Efficiency Analysis

We present a nonparametric comparative efficiency analysis of urban public transport systems (UPTS) in Shanghai (2004-2012). The UPTS include urban public bus transit system (UPBTS) and urban public rail transit system (UPRTS). We apply data envelopment analysis (DEA) to assess the technical, pure technical and scale efficiencies of UPBTS and UPRTS over years. We find the performance of UPBTS and UPRTS are good in general but still have a potential scope for improvement. We also quantitatively analyze the reasons for inefficiency of them in some years and provide potential improvements for inefficient units. Moreover, we observe the efficiency of UPBTS is better despite a good development trend in the efficiency of the UPRTS. We demonstrate the UPRTS during the period 2006-2011 works on decreasing returns to scale (DRS), which indicates the authorities should adjust the UPRTS structure and improve the operational services without blindly expanding the levels of inputs. Our work may help in evaluating the possible enhancement of the operations of the UPTS.

scholarly journals A Nonparametric Efficiency Analysis for a Sample of Kansas Swine Operations

1998 ◽  
Vol 30 (1) ◽  
pp. 189-199 ◽  
Author(s):  
William W. Rowland ◽  
Michael R. Langemeier ◽  
Bryan W. Schurle ◽  
Allen M. Featherstone
Keyword(s):  
Mathematical Programming ◽  
Efficiency Analysis ◽  
Firm Efficiency ◽  
Economic Competitiveness ◽  
Swine Operations ◽  
Programming Techniques ◽  
Overall Efficiency ◽  
Nonparametric Efficiency ◽  
Nonparametric Efficiency Analysis

AbstractThis study evaluates the economic competitiveness of a sample of Kansas farrow-to-finish operations by estimating relative firm efficiency using nonparametric mathematical programming techniques. Measures of technical, allocative, scale, economic, and overall efficiency are then related to farm characteristics to identify sources of efficiency. Results indicate that overall efficient farms produce a high quantity of pork per litter, produce a portion of their own feed grains, generate a large portion of their income from swine and other livestock enterprises, and have a lower debt-to-asset ratio.

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