Technical efficiency of European railways: a distance function approach

By Tim Coelli, Sergio Perelman. 2000

493 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/8075a8cbff9e7bf8d806c7f5a4092e084791256d

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Citations in the corpus

Reforms and infrastructure efficiency in Spain's container ports (2005, methodology): “1 This methodology has been applied in some empirical papers (Coelli and Perelman, 1999, 2000; Morrison et al. 2000; Orea, 2002, among others).”
Hyperbolic Efficiency and Parametric Distance Functions: With Application to Spanish Savings Banks (2005, background): “Examples of recent studies using partially oriented (i.e., output or input) parametric distance functions are English et al. (1993), Lovell et al. (1994), Coelli and Perelman (1996, 2000) and Cuesta and Orea (2002).”
On the generation of a regular multi-input multi-output technology using parametric output distance functions (2005, background): “According with Coelli and Perelman (1999) this specification fulfils a set of desirable characteristics: flexible, easy to derive and allowing the imposition of homogeneity.”
Product diversification, production systems, and economic performance in U.S. agricultural production (2005, methodology): “Glossing over the econometric issues associated with a numeraire netput,12 and recognizing that the final results are invariant to this choice (Coelli and Perelman, 2000), there could still be economic reasons for choosing Y1 or X1.”
Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities (2009, unknown): “Coelli and Perelman (2000) use −ln(ym), while we follow Paul et al. (2000) and use ln(ym) as the dependent variable.”
Efficiency analysis of German electricity distribution utilities – non-parametric and parametric tests (2006, background): “Do(X, Y) is nondecreasing, positively linearly homogeneous and convex in Y, and decreasing in X. is the scalar 3 See Coelli and Perelman (2000).”
Testing the accuracy of DEA for measuring efficiency in education under endogeneity (2009, background): “According to Coelli and Perelman (1999), this specification fulfills a set of desirable characteristics: flexible, easy to derive y2 (reading)”
Technical efficiency in farming: a meta-regression analysis (2007, background): “In measuring TE, different methodologies and strat- egies have been proposed and considerable controversy has surrounded the choice and merits of a specific methodology and the impact of such choice on the ensuing analysis (Olesen et al. 1996; Coelli and Perel- man 2000).”
Efficiency Measurement in the Port Industry: A Survey of the Empirical Evidence (2009, background): “Tongzon and Heng (2005), Cullinane et al. (2002, 2004) and Notteboom et al. (2000) incorporate three variables to measure the capital used by the container terminals: docks, surface and cranes (Cullinane et al.”
On the econometric estimation of the distance function representation of a production technology (2000, methodology): “However, as noted by Coelli and Perelman (2000), these alternatives may not be appropriate in all cases.”
Explaining agricultural productivity growth: an international perspective (2010, methodology): “These distance functions by definition are very general and provide a stochastic alternative to their computation using DEA (see Coelli and Perelman, 2000; and O'Donnell and Coelli, 2005).”