A Primer on Efficiency Measurement for Utilities and Transport Regulators

By Tim Coelli, Antonio Estache, Sergio Perelman, Lourdes Trujillo. 2003

383 citations recorded by the source corpus.

This book is intended to help regulators learn about the tools needed to measure efficiency. It is based on lecture notes from courses the World Bank Institute offers in English, French and Spanish throughout the developing world and has benefited from feedback received during those courses. It provides an overview of the various dimensions of efficiency that regulators should be concerned with. It also summarizes the main quantification techniques available to facilitate decisions in the most common regulatory processes. The issues covered should be of particular interest to those policymakers and regulators interested in measuring relative efficiency and in implementing any incentive-based regulatory mechanism that requires the measurement of efficiency, such as price caps, revenue caps, or yardstick competition. The book focuses on methodology selection, data collection, and related issues. It provides readers with all the conceptual tools they need to make real-life decisions. It is also supported by a web site from which readers can download software they can use to implement the techniques described.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/6ba2e8fc56e18e64f4dba41b87972bfcb454f59d

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In Management Science and Operations Research

Citations in the corpus

Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model (2010, methodology): “All data for the TL model are expressed as deviations from their sample geometric means, which makes it possible to interpret the first-order parameters directly as partial production elasticities at the geometric mean of the data (Coelli et al. 2003).”
An analysis of African airlines efficiency with two-stage TOPSIS and neural networks (2015, background): “…and Barbot et al. (2008); stochastic econometric frontier models (Good et al., 1993; Baltagi, 1995), the Turnquist total factor productivity index (Coelli et al., 2003, p. 27; Barbot et al., 2008) and DEAmodels (Merkert and Hensher, 2011; Barros et al., 2013; Barros and Peypoch, 2009; Barros and…”
Sources of efficiency gains in port reform: a DEA decomposition of a Malmquist TFP index for Mexico (2004, methodology): “These are not addressed in this paper but are discussed in Coelli et al. (2003) 5 This is, in fact, the concept of efficiency that tends to be picked up, albeit in a biased way, by the most conventional partial measures of productivity.”
Quo vadis efficiency analysis of water distribution? A comparative literature review (2009, background): “…analysis of time- 4 Some of the studies include sewerage activities. varying efficiency models (based on Battese and Coelli,1995; Caudill et al.,1995; Coelli et al., 2003 and Estache et al., 2004) Lin (2005) also finds that a positive rate of chlorine tests, service coverage and service continuity…”
Does service quality matter in measuring the performance of water utilities (2008, background): “Furthermore, Coelli et al. (2003) regards water loss as an indicator of the technical quality of the service.”
When it comes to container port efficiency, are all developing regions equal? (2016, methodology): “3 Coelli et al (2003) includes a detailed review of their different methodologies.”
Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps (2015, methodology): “The TL, which nests the CD, can be written as (Coelli et al., 2003): lnðYiÞ ¼ b0 X6 j¼1 bj lnXij þ 1 2 X6 j¼1 X6 j¼1 bjk lnXij lnXik þ X4 j¼1 dlDl þ X6 j¼1 cjD4 lnXij þ vi ui ð7Þ where Yi represents output of the i th farm; Xij is the quantity of the j th input; D denotes dummy variables; b and d…”