The impact of strategic management and fleet planning on airline efficiency – A random effects Tobit model based on DEA efficiency scores

Merkert, Rico; Hensher, David A.

doi:10.1016/j.tra.2011.04.015

Cited by 149 publications

(106 citation statements)

References 14 publications

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“…For the transportation sector, Tongzon [32] used DEA to measure the efficiency of four Australian and twelve international container ports, while Merkert et al [33] evaluated the important determinants of efficiency for 58 passenger airlines. Lin and Hong [34] evaluated the operational performance of 20 major airports around the world using the DEA model.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model

2015

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Many countries are attempting to reduce energy consumption and CO2 emissions while increasing the productivity and efficiency of their industries. An undesirable-output-oriented data envelopment analysis (DEA) model with slacks-based measure (SBM) was used to evaluate the changes in the environmental efficiency of the transportation sector in 30 Chinese provinces (municipalities and autonomous regions) between 2003 and 2012. The potential for decreasing CO2 emissions and energy saving was also assessed. Transportation was found to be inefficient in most of the provinces and the average environmental efficiency was low (0.45). The overall average efficiency reached a maximum in 2005 and continually decreased until a minimum was reached in 2009; since then, it has increased. In general, transportation is more efficient in eastern than in central or western China. A sensitivity analysis was also carried out on the input and output indicators. Based on these findings, some policies are proposed to improve the environmental efficiency of the transportation sector in China.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model

2015

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“…is a relatively new 'data oriented' approach for evaluating performance not only in air transport infrastructure but also in airline performance (Merkert & Hensher, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Upgraded data envelopment analysis model application for total productivity comparison in major airports of the European Union

Jaržemskis

Jaržemskienė

2018

Economic Research-Ekonomska Istraživanja

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In order to compare the productivity of airports different scientific approaches are used by various authors. Previous research has shown wide application of the data envelopment analysis (D.E.A.) model for productivity comparison. The D.E.A. model may be used to compare both partial and total factor productivity. However, aggregation of the separate partial factors into a single D.E.A. model is still not sufficiently investigated. The purpose of this paper is to suggest the integration of two methods -DEA and Delphi Expert Panel -to solve this problem. A model was developed and experimentally tested with 15 major European Union airports. The results show that the suggested model could be efficiently used to compare the airports' productivity, which is expressed by a large set of attributes. The main conclusion is that model can be successfully used to compare airports by different criteria through integrating the DEA and Delphi Expert Panel techniques. The model can be used for any set of airports to compare productivity. The research could be useful to airport managers and investors, as well as to researchers in the area of D.E.A. application.

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“…(Simarmata, Charles An, & Rizaldy, 2014) (Simarmata, Rs, Keke, & Panjaitan, 2016) Aircraft type or fleet mix decisions such as the size of the aircraft and the number of aircraft type use in the fleet have impact in terms of technical and cost efficiency, because each aircraft has different capabilities and performance as well as the airport, although using the B738 aircraft does not mean total operating costs are small or the profits is greater, the airline should pay attention to the size of the demand for a route (Merkert & Hensher, 2011), and take into account the conditions of the airport and other support infrastructure which enable the process of fulfill their needs such as runway length, runway slope, runway strength, navigation facility, availability of GSE, etc., This is important because despite the large number of demand but the aircraft used is not suitable it can cause an airline to loss. (Simarmata, Yuliantini, & Keke, 2017) …”

Section: Source: the Impact Of Fuel Increase And Currency Exchange Dementioning

confidence: 99%

The Impact of Currency Exchange Rate and Aircraft Type Selection on Indonesia Airlines Business Sustainability

L¹,

R²,

An³

2018

Proceedings of the Conference on Global Research on Sustainable Transport (GROST 2017)

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Throughout the 2012-2016 the exchange rate of rupiah against the dollar depreciated or weakened that can be quite influential, US dollar was common currency in airline business fluctuating or change in currency exchange rate cannot be negligible because its impact to cost, most of the total cost of operating an airline is a plane and every aircraft has different operating costs because each aircraft have different capabilities and performance, aircraft costs that higher even slightly above the cost frontier becomes economically uncompetitive, event there are exceptions but only for very small size depend on condition and needs, aircraft type selection become very important because the size of the total operating cost of the airline depends on the type of aircraft used by the airline, it also affects the size of the profits or losses received by the airline where the sustainability and healthy or not business on the airline determined by these two factors, and because the size of the total cost of the operation determines how much the price will be charged to passengers.

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The impact of strategic management and fleet planning on airline efficiency – A random effects Tobit model based on DEA efficiency scores

Cited by 149 publications

References 14 publications

Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model

Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model

Upgraded data envelopment analysis model application for total productivity comparison in major airports of the European Union

The Impact of Currency Exchange Rate and Aircraft Type Selection on Indonesia Airlines Business Sustainability

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