2014
DOI: 10.1016/j.eneco.2014.08.002
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The impact of ownership unbundling on cost efficiency: Empirical evidence from the New Zealand electricity distribution sector

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 37 publications
(27 citation statements)
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“…In addition to the above inputs and outputs, regulatory, geographic, climatic, and other conditions may all affect the performance of grid utilities (Growitsch et al, 2012), consequently, we incorporate another dummy variable as well as some weather and geographic variables into the following analysis. The dummy variable, denoted as unbundling   1 d , may measure the impact of the unbundling policy on the grid companies (Çelen, 2013;Filippini and Wetzel, 2014). The policy was implemented in 2002, and most provincial grid companies had finished the reform by the end of 2003, so we set the dummy variable as 1 for all companies after 2004 and 0 otherwise.…”
Section: Data and Samplesmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition to the above inputs and outputs, regulatory, geographic, climatic, and other conditions may all affect the performance of grid utilities (Growitsch et al, 2012), consequently, we incorporate another dummy variable as well as some weather and geographic variables into the following analysis. The dummy variable, denoted as unbundling   1 d , may measure the impact of the unbundling policy on the grid companies (Çelen, 2013;Filippini and Wetzel, 2014). The policy was implemented in 2002, and most provincial grid companies had finished the reform by the end of 2003, so we set the dummy variable as 1 for all companies after 2004 and 0 otherwise.…”
Section: Data and Samplesmentioning
confidence: 99%
“…The performance assessment of the grid industry has gained increasing attention in recent years. For example, Christian von Hirschhausen et al(2006), Nemoto and Goto (2006), and Ter-Martirosyan and Kwoka (2010) and Filippini and Wetzel (2014) have applied benchmarking techniques to measure the efficiency of network utilities, while Mullarkey et al(2015) and Pérez-Reyes and Tovar(2009) further depict the efficiency change trends over time. One of the main assumptions underlying frontier analysis and technical efficiency measurement is that all the firms in an industry share the same production technology and face a similar operating environment.…”
Section: Introductionmentioning
confidence: 99%
“…Using a cost function Nillesen and Pollitt (2011) analyze New Zealand's introduction of mandatory ownership unbundling of distribution from retail in 1998 and find that ownership unbundling has significantly reduced the unit-operation costs of electricity distribution and that grid quality (proxied by an electricity supply interruption index) has improved. Similar to Nillesen and Pollitt (2011), Filippini and Wetzel (2014) find that ownership unbundling improved the cost efficiency of New Zealand's DSOs based on Stochastic Frontier Analysis (which, in contrast to a standard cost function estimation, deals explicitly with firms' inefficiencies). A novel result is that the short-run efficiency improvement (evaluated from a variable cost function) is higher than the long-run efficiency (evaluated from a total cost function).…”
Section: Literaturementioning
confidence: 61%
“…Hence, the model may suffer from an unobserved heterogeneity bias that, in particular, may lead to an overestimation of markups. For this reason, we additionally estimate a second specification in which the traditional Battese and Coelli (1995) model is augmented by individual firm dummy variables as in Filippini and Wetzel (2014). These variables capture any time-invariant firm-specific unobserved heterogeneity and hence avoid the unobserved heterogeneity problem.…”
Section: Specification Of the Empirical Modelmentioning
confidence: 99%