A comparison of parametric and non-parametric distance functions: With application to European railways

Coelli, Tim; Perelman, Sergio

doi:10.1016/s0377-2217(98)00271-9

Cited by 489 publications

(255 citation statements)

References 14 publications

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“…The authors of the various papers have conducted correlation analyses the results of which are revealing: Cullinane et al [15] carried out a DEA and an SFA examination simultaneously and found a high degree of correlation between them. Coelli and Perelman [14] also investigated the parametric and the DEA method in parallel (the former also with LP and also with COLS estimation methods), and found that the three procedures yielded reliably similar results. Graham [4] compared results from the decomposed TFP method (created in such a way that it is comparable to the DEA method) and the DEA method, here also, the investigations yielded broadly the same rankings.…”

Section: Discussion On the Correlation And Links Between The Methodsmentioning

confidence: 99%

“…It is mentioned by Coelli and Perelman [14] and Odeck [7]. The latter refers to two examples of its utilization, but both authors agree that it is a method rarely used.…”

Section: Use Of Non-parametric Methodsmentioning

confidence: 99%

“…In case of a deterministic function, the corrected ordinary least squares method (COLS) or linear programming (LP) can be used. If the SFA method is selected, these two can still be applied (see [14]), or the maximum likelihood estimation (MLE) (see [15]) or the Markov Chain Monte Carlo simulation (MCMC) (see [16]) can also be employed.…”

Section: Use Of Production Functionsmentioning

confidence: 99%

“…Oum et al [16] use SFA with a translog function to evaluate the efficiency of 109 worldwide airports, Diana [13] utilizes SFA with a log-linear Cobb-Douglas form for the examination of airport performance, Tsionas [17] combines SFA with a non-parametric method to investigate the efficiency of 10 US airlines over a 14 year long period, Cullinane et al [15] look into the efficiency of 28 internationally very important container ports with an SFA method using a log-linear Cobb-Dougles production function, Coelli and Perelman [14] estimate the efficiency of 17 European railway companies with this method, employing a translog function and applying the LP and the COLS technique and Tovar and Martín-Cejas [9] use SFA as the basic method to calculate the efficiency rankings to be used in Malmquist productivity indexes in order to evaluate the efficiency of Spanish airports.…”

Section: Use Of Production Functionsmentioning

confidence: 99%

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Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Markovits-Somogyi¹

2012

PROMET

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Section: Discussion On the Correlation And Links Between The Methodsmentioning

confidence: 99%

“…It is mentioned by Coelli and Perelman [14] and Odeck [7]. The latter refers to two examples of its utilization, but both authors agree that it is a method rarely used.…”

Section: Use Of Non-parametric Methodsmentioning

confidence: 99%

Section: Use Of Production Functionsmentioning

confidence: 99%

Section: Use Of Production Functionsmentioning

confidence: 99%

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Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Markovits-Somogyi¹

2012

PROMET

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“…However, DEA has the advantage of not requiring a pre-specified functional form and is therefore more flexible than the SFA. Empirical comparisons in different settings indicate that the two methods assess efficiency similarly (Coelli and Perelman, 1999;Sharma et al, 1999;Irá izoz et al, 2003). In this study, DEA was used, as characteristics such as not requiring specification of the functional form of the production function were considered advantageous.…”

Section: Data Sourcesmentioning

confidence: 99%

Which preventive measures against mastitis can increase the technical efficiency of dairy farms?

Hansson

Szczensa-Rundberg

Nielsen

2011

Animal

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The aim of this paper was to explore if, and in that case how, various preventive measures against mastitis influenced the whole-farm economic outcome, measured as technical efficiency, of a sample of specialised dairy farms in Sweden. In particular, the paper aimed at analysing whether a change to preventive measures applied by fully efficient farms would be a way for inefficient farms to become fully efficient. First, technical efficiency was assessed for each farm in the sample based on farm-level accounting data and the data envelopment analysis. In a second step, the effects of preventive measures against mastitis (collected through a mail questionnaire) on technical efficiency were assessed with logistic regression. Keeping cows in a loose-housing barn, stimulating udders manually during milking, and having cows standing on clean bedding during milking were found to significantly increase the probability of a farm being fully efficient. Once the farmer considers the somatic cell count (SCC) to be too high, undertaking measures such as contacting a veterinarian, checking overall hygiene routines, and culling cows with high SCC were found to significantly increase the probability of a farm being fully efficient. Thus, these measures may be plausible targets for advisory services aimed at assisting farmers to become fully efficient, especially if they are confirmed in future studies. Several common preventive measures against mastitis, that is, choice of bedding material, frequency of cleaning stalls, pre-milking, post-milking teat disinfection, applying a milking order based on the SCC of cows, and milking high-SCC cows with a separate cluster, were found to have no statistically significant effect on farm economic outcome. However, these measures may still be valuable for non-economic goals, such as increased animal welfare, and the results imply that they can be implemented without negative impact on the economic performance of the farm.

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Data Envelopment Analysis

Huguenin¹

2013

Multi‐Criteria Decision Analysis

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Trim: 229mm × 152mm vi CONTENTS 2.5 Extensions of AHP 2.5.1 Analytic hierarchy process ordering 2.5.2 Group analytic hierarchy process 2.5.3 Clusters and pivots for a large number of alternatives 2.5.4 AHPSort References 3 Analytic network process 3.1 Introduction 3.2 Essential concepts of ANP 3.2.1 Inner dependency in the criteria cluster 3.2.2 Inner dependency in the alternative cluster 3.2.3 Outer dependency 3.2.4 Influence matrix 3.3 ANP software: Super Decisions 3.3.1 Problem structuring 3.3.2 Assessment of pairwise comparison 3.3.3 Results 3.3.4 Sensitivity analysis 3.4 In the black box of ANP 3.4.1 Markov chain 3.4.2 Supermatrix References 4 Multi-attribute utility theory 4.1 Introduction 4.2 Essential concepts of MAUT 4.2.1 The additive model 4.3 RightChoice 4.3.1 Data input and utility functions 4.3.2 Results 4.3.3 Sensitivity analysis 4.3.4 Group decision and multi-scenario analysis 4.4 In the black box of MAUT 4.5 Extensions of the MAUT method 4.5.1 The UTA method 4.

show abstract

A comparison of parametric and non-parametric distance functions: With application to European railways

Cited by 489 publications

References 14 publications

Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Which preventive measures against mastitis can increase the technical efficiency of dairy farms?

Data Envelopment Analysis

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