International benchmarking and regulation: an application to European electricity distribution utilities
By Tooraj Jamasb, Michael Pollitt. 2003
316 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/5304cc1a012a577845c093cefce3fb748196fbe3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- P. Joskow
- Michael Pollitt
- Tooraj Jamasb
- A. B. Haney
- Massimo Filippini
- M. Farsi
- Paul H. L. Nillesen
- C. von Hirschhausen
In Management Science and Operations Research
- P. Joskow
- Massimo Filippini
- A. B. Haney
- Michael Pollitt
- M. Farsi
- Paul H. L. Nillesen
- Tooraj Jamasb
- Astrid Cullmann
In Strategy and Management
- P. Joskow
- Massimo Filippini
- Michael Pollitt
- M. Farsi
- A. B. Haney
- Tooraj Jamasb
- Astrid Cullmann
- C. von Hirschhausen
Citations in the corpus
- Cost efficiency of Slovenian water distribution utilities: an application of stochastic frontier methods (2008, background): “2 For example, see Bauer et al. (1998), Estache, Rossi and Ruzzier (2004), Jamasb and Pollitt (2003), Farsi, Filippini and Greene (2005), Farsi and Filippini (2006).”
- Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities (2004, result): “These results raise an important question as to whether (or to what extent) the problems reported by Jamasb and Pollitt (2003) are due to the limitations associated with cross-section data models.”
- Do mergers improve efficiency? Evidence from restructuring the US electric power sector (2010, unknown): “Many studies of efficiency (such as Jamasb and Pollitt, 2003) have made use of such input measures.”
- A framework for benchmarking land models (2012, background): “In engineering, benchmark analysis is used to measure efficiency, productivity, and quality against a reference or benchmark performance of a standardized instrument (Jamasb and Pollitt, 2003).”
- Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants (2009, unknown): “impact of uncontrollable variables on efficiency (2) If using OLS in the second stage, the corrected efficiency scores might not be between 0 and 1 McCarty and Yaisawarng (1993), Fried et al.”
- Efficiency analysis of energy networks: An international survey of regulators (2009, background): “Both national and international data are important; and in order to be able to make international comparisons, data collection processes, auditing and standardisation must be improved both within and across countries (Jamasb and Pollitt, 2003).”
- A Flexible Mixed-Integer Linear Programming Approach to the AC Optimal Power Flow in Distribution Systems (2014, background): “In the course of the last decade, the evolution of business models have either brought about important challenges to the distribution segment of the electricity business, or enhanced the criticality of previously existing ones: (i) Performance-based regulation (or incentive-based regulation) [1]-[5]”
- Incentive Regulation and Its Application to Electricity Networks (2008, methodology): “This information can then be used as an input to setting values for both po and x ( Jamasb and Pollitt, 2001, 2003; OFGEM, 2004a) to provide incentives for those far from the efficiency frontier to move toward it and to reward the most efficient firms in order to induce them to stay on the efficien”
- Strategic behaviour under regulatory benchmarking (2004, methodology): “6 See Vickers and Yarrow (1993) for a description of the methodology and implementation in Britain.”