Efficiency and patterns of service mix in airport companies: An input distance function approach

Abrate, Graziano; Erbetta, Fabrizio

doi:10.1016/j.tre.2009.12.003

Cited by 55 publications

(12 citation statements)

References 33 publications

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“…In particular, Dieke (2007, 2008) apply a Simar and Wilson (2007) two-stage procedure and find that hub, private and north parameters increase efficiency. Abrate and Erbetta (2010) extend the findings by Barros and Dieke and point out the existence of low levels of efficiency among Italian airports. Curi et al (2010), by using a Simar and Wilson (2007) two-stage approach, show that airports with a majority public holding are on average more efficient and the presence of two hubs is source of inefficiency.…”

Section: Introductionsupporting

confidence: 88%

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Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis

D’Alfonso

Daraio

Nastasi

2015

Transportation Research Part E: Logistics and Transportation Re

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Section: Introductionsupporting

confidence: 88%

“…Abrate and Erbetta, 2010), which is the case in this paper. See alsoCuri et al (2011) andScotti et al (2012).…”

mentioning

confidence: 60%

Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis

D’Alfonso

Daraio

Nastasi

2015

Transportation Research Part E: Logistics and Transportation Re

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“…The first refers to parametric methods, such as stochastic frontier analysis (SFA), which measure efficiency through econometric techniques [10,[28][29][30][31][32][33]. The second comprises investigations applying the non-parametric methodology called DEA [13,[34][35][36][37].…”

Section: Dea Studies In the Air Transportmentioning

confidence: 99%

Measuring and Explaining Airport Efficiency and Sustainability: Evidence from Italy

2018

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Abstract:From an environmental point of view, it is widely recognized in economic literature that an efficient management of regional airports produces positive effects both for congestion reduction in the larger airports and for better use of existing infrastructures. Regional airports generally suffer from economic vulnerabilities because of scarcity of traffic volume; besides, their small catchment areas often determine low cash flow levels. As a result, significant problems of economic sustainability arise. In this context, airport infrastructure providers have the incentive to hide failures in their strategic decisions, justifying the low share of cost recovery through market characteristics. By means of the DEA (Data Envelopment Analysis) method this paper analyses overall technical, pure technical, and scale efficiency of 34 Italian airports in the period 2006-2016 in order to investigate how a number of factors impact on the efficiency and economic sustainability of regional airports. Our findings reveal that airport size, presence of low-cost carriers and cargo traffic have a significant influence on the technical and scale efficiency of Italian airports. In other words, air transport privatization and deregulation can positively affect regional airport efficiency and sustainability. This is to say that the market mechanism is a useful tool in achieving regional airport sustainability even if the empirical analysis of the effects of privatization and deregulation is recommended for evaluating such political programs.

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“…Input distance functions have been used in empirical studies for efficiency and productivity analysis of industrial units as in Abrate and Erbetta (2010) and Das and Kumbhakar (2012) as well as those of electricity networks such as Tovar et al (2011), Hess and Cullmann (2007), and Growitsch et al (2012). The output of electricity networks is determined exogenously by demand for energy and connections.…”

Section: Modelling a Stochastic Efficient Frontiermentioning

confidence: 99%

A New Perspective: Investment and Efficiency under Incentive Regulation

Poudineh¹,

Jamasb²

2016

The Energy Journal

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractFollowing the liberalisation of the electricity industry since the early 1990s, many sector regulators have recognised the potential for cost efficiency improvement in the networks through incentive regulation aided by benchmarking and productivity analysis. This approach has often resulted in cost efficiency and quality of service improvement. However, there remains a growing concern as to whether the utilities invest sufficiently and efficiently in maintaining and modernising the networks to ensure long term reliability and to meet their future challenges. This paper studies the relationship between investments and cost efficiency in the context of incentive regulation with ex-post regulatory treatment of investments using a panel dataset of 129 Norwegian distribution companies from 2004 to 2010. We introduce the concept of "no impact efficiency" as a revenue-neutral efficiency effect of investment under incentive regulation that makes a firm "investment efficient" in cost benchmarking. Also, we estimate the observed efficiency effect of investments and compare these with the no impact efficiency. Finally, we discuss some implications of incentive regulation and cost benchmarking for investment behaviour of network companies.

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Efficiency and patterns of service mix in airport companies: An input distance function approach

Cited by 55 publications

References 33 publications

Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis

Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis

Measuring and Explaining Airport Efficiency and Sustainability: Evidence from Italy

A New Perspective: Investment and Efficiency under Incentive Regulation

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