Evaluating airline efficiency: An application of Virtual Frontier Network SBM

Li, Ye; Wang, Yan zhang; Cui, Qiang

doi:10.1016/j.tre.2015.06.006

Cited by 118 publications

(45 citation statements)

References 59 publications

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“…In fuzzy environment various slack-based models were proposed [21]. In network analysis a lot of research has been done with SBM measures [13], [15], [23] This model is having the structure as: Suppose we have a set of 'n' DMUs denoted by j (j=1,...,n) each having 'm' inputs and 's' outputs. Let the input and output vectors of DM U j be X j = (x 1j , x 2j , ..., x mj ) T and Y j = (y 1j , y 2j ..., y sj ) T respectively.…”

Section: Slack-based Model In Deamentioning

confidence: 99%

DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry

Muhammad

Rao

Farooq

2018

Stat., optim. inf. comput.

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In data envelopment analysis (DEA), the concept of efficiency is examined either in radial measure or in nonradial measure. Radial measure gives the proportion or a percentage by which all the inputs (outputs) to be reduced(increased) simultaneously, while as the non-radial measure deals directly with the input output slacks which must be minimized, hence inputs and outputs need not to optimized by same proportion. Radial measures often provide a weak efficiency score while as there is no such case for Non-radial models. The aim of this paper is to employ the non-radial measure(Slack-based model) in DEA window analysis to measure the Technical Efficiency change over years of various Indian cement companies. The research is based on unbalanced panel data of Indian cement companies during the period 2005-15. DEA window analysis is used to determine the efficiency of cement companies and to observe the possibility of changes in the technical efficiency over time. A study is conducted to evaluate the efficiency of cement companies in India in order to identify the sources of inefficiencies and formulate proposals for improving the productivity of those companies and their operations through a three-year window analysis.

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Section: Slack-based Model In Deamentioning

confidence: 99%

DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry

Muhammad

Rao

Farooq

2018

Stat., optim. inf. comput.

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“…Therefore, radial models have some shortcomings in evaluating airline efficiency. In recent years, some nonradial DEA models were proposed as the basic method to assess airline efficiency, such as Chang, Park, Jeong, and Lee (), Lozano and Gutiérrez (), Tavassoli, Faramarzi, and Saen (), and Li et al (, ). However, existing nonradial models have not considered the undesirable outputs in measuring airline efficiency.…”

Section: Introductionmentioning

confidence: 99%

Sustainability of Chinese airlines: A modified slack‐based measure model for CO₂ emissions

Hadi-Vencheh¹,

Jamshidi

Chen

2018

Expert Systems

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Sustainable airline operations have become an increasingly important issue in recent years. With this respect, several initiatives for reducing pollutant emissions—such as carbon dioxide (CO2)—in the airline industry are now under consideration by regulators, policymakers, and companies. The impact of these initiatives upon efficiency levels of airline operations is still being analysed by different authors. This article is focused on the efficiency assessment of 13 major Chinese airlines from 2008 to 2015, applying a modified slack‐based measure model to account for CO2 emissions. The impact of contextual variables related to the airline's age, fleet mix, stock market governance, ownership type, network span, and whether or not it has undergone a previous merger and acquisition process is tested by means of a stochastic non‐linear robust regression approach. Findings suggest that sustainability in Chinese airline operations is dependent upon a number of economic factors such as learning curve, economies of scale, technology type, and network management. Policy implications are derived for Chinese airlines.

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“…,Mallikarjun (2015),Li et al (2016a),Cui and Li (2016) andCui et al (2016c), and dynamic models ofCui et al (2016a;,Li et al (2016b) andWanke and Barros (2016) have been the core methods of assessing airline performance. With regard to network studies,Mallikarjun (2015) andLi et al (2015) divided the network structure of airline efficiency into three stages: operations, services and sales. Mallikarjun (2015) applied a radial unoriented DEA network method to assess US airline performance in 2012 Li et al (2015).…”

mentioning

confidence: 99%

“…With regard to network studies,Mallikarjun (2015) andLi et al (2015) divided the network structure of airline efficiency into three stages: operations, services and sales. Mallikarjun (2015) applied a radial unoriented DEA network method to assess US airline performance in 2012 Li et al (2015). applied the idea of virtual frontier to the network model and proposed a non-radial virtual frontier slack-based measure to evaluate energy efficiency of 22 international airlines from 2008 to 2012 Li et al (2016a).…”

mentioning

confidence: 99%

Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator

Seufert

Arjomandi

Dakpo

2017

Transportation Research Part E: Logistics and Transportation Re

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This study proposes a by-production Luenberger-Hicks-Moorsteen indicator that includes undesirable outputs, here CO2 emissions, in airline performance analysis. We use capital and staff as inputs and tonnekilometres available as a desirable output to evaluate operation stage efficiency and productivity of the world's major airlines between 2007 and 2013. Our results demonstrate European airlines are relatively stronger performers in terms of both pollution-adjusted operational efficiency and productivity. Middle-Eastern airlines have made gains in terms of output growth but perform poorly in terms of pollution-adjusted productivity, evidence that ETSs may produce greener airlines.

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Evaluating airline efficiency: An application of Virtual Frontier Network SBM

Cited by 118 publications

References 59 publications

DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry

DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry

Sustainability of Chinese airlines: A modified slack‐based measure model for CO₂ emissions

Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator

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Evaluating airline efficiency: An application of Virtual Frontier Network SBM

Cited by 118 publications

References 59 publications

DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry

DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry

Sustainability of Chinese airlines: A modified slack‐based measure model for CO2 emissions

Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator

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Sustainability of Chinese airlines: A modified slack‐based measure model for CO₂ emissions