A comparative efficiency and productivity analysis: Implication to airlines located in Central and South-East Europe

Kuljanin, Jovana; Kalić, Milica; Caggiani, Leonardo; Ottomanelli, Michele

doi:10.1016/j.jairtraman.2019.01.009

Cited by 24 publications

(13 citation statements)

References 31 publications

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“…These data have been obtained through reports provided by each company and information extracted from each airline's own website, taking into account the available fleet. The outputs used are the airline's total revenue (obtained from the SABI database) and total passengers (Araujo et al, 2006;Kuljanin et al, 2019) carried by the airline in 2018 (obtained from AENA). Table 3 shows the data of the outputs and inputs used for the year 2018.…”

Section: Methodology: Implications Of the Dea Analysismentioning

confidence: 99%

Study of the Efficiency of Spanish Airlines: A Non-Parametric Data Envelopment Analysis

Cifuentes‐Faura

2021

ENLIGHTENING TOURISM

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Spain is an eminently tourist country, which allows the creation of countless jobs and contributes greatly to GDP growth. Millions of people visit this country every year, and more than 80% do so through air transport. This paper studies whether the 13 Spanish airlines with the highest revenues in 2018 were efficient in that year, thus filling a gap in the tourism literature. For this purpose, the non-parametric DEA technique has been used, using as inputs the total number of workers in the company and the total number of seats available (airline capacity). Total revenue and number of passengers have been used as outputs. The results obtained show that all the airlines studied within the IAG group (Iberia, Vueling, Air Nostrum, Iberia Express) are efficient, in addition to the Canary Islands airlines (Binter Canarias, Canarias Airlines and Canary Fly) and Air Europa. Likewise, the reference airlines for the inefficient ones have been determined, which will have to reduce the number of workers or make changes in capacity in order to achieve greater income and be efficient.

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Section: Methodology: Implications Of the Dea Analysismentioning

confidence: 99%

Study of the Efficiency of Spanish Airlines: A Non-Parametric Data Envelopment Analysis

Cifuentes‐Faura

2021

ENLIGHTENING TOURISM

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“…They documented that the reforms in China’s airline industry promoted improvements in airlines’ productivity and in their abilities to catch-up and innovate. Kuljanin et al ( 2019 ) documented that while airlines based in central and southeast Europe have demonstrated progress in efficiency, they are still less efficient than their peers that mainly operate in Western Europe.…”

Section: Literature Reviewmentioning

confidence: 99%

An Evaluation of the Operational Performance and Profitability of the U.S. Airlines

Huang

Hsu

Collar

2021

JGBC

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Since 2008, a series of mega-mergers has dramatically changed the U.S. airline industry. Despite the presence of fewer airlines in the market, the competition remains intense, which forces airlines to continually search for ways to increase their efficiency to maintain survival and financial sustainability. To evaluate airline performance and disentangle the causes of inefficiency, this paper applied a two-stage network data envelopment analysis approach and a truncated regression to investigate the performance of nine U.S.-based airlines from 2015 to 2019. Our empirical results reveal that during the sample period, airlines’ operating efficiency steadily improved, but the efficiency in the profitability stage stagnated. Therefore, strategic resource allocations are needed for airlines to see further advances in their overall efficiency. On average, airlines operating in the low-cost business model yielded higher efficiency scores than their peers operating in the full-service framework. While an airline’s size, measured in terms of total assets, has a positive influence on operating efficiency, a larger number of full-time employee equivalents hinders efficiency outcomes, which indicates the importance of enhancing labor efficiency among carriers.

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“…This type of variable could be defined through fuzzy sets. A new formulation of the methodology proposed here which considers a fuzzy DEA approach [66] is currently being prepared.…”

Section: Discussionmentioning

confidence: 99%

“…Since DEA is sensitive to outliers [60] and CoPlot has been often used as a supplemental tool to cluster analysis, DEA and outlier detection methods in the literature [61][62][63], we decided to suggest its application to the proposed analysis [64][65][66]. Additionally, this analysis allows reducing the number of variables/DMUs to obtain a sufficient differentiation between the efficiency scores, while following the rule of Dyson et al [27].…”

Section: Inputs Outputs and Station Selectionmentioning

confidence: 99%

“…The least efficient stations, visualized in the lightest shade of green/yellow, mostly include those added during 2019, meaning that their age is less than one year (e.g., stations no. 52,53,56,60,66,68,71,74,83,85,86,93). Most of these stations are located further away from the city center and in areas with lower population density.…”

Section: The Least Efficient Bss Stationsmentioning

confidence: 99%

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Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis

et al. 2021

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This paper focuses on the efficiency evaluation of bike-sharing systems (BSSs) and develops an approach based on data envelopment analysis (DEA) to support the decisions regarding the performance evaluation of BSS stations. The proposed methodology is applied and tested for the Malmöbybike BSS in Malmö, Sweden. This was done by employing spatial analyses and data about the BSS usage trends as well as taking into account transport, land use, and socioeconomic context of the case study. The results of the application demonstrate consistency with the literature and highlight meaningful associations between the station relative efficiency and the urban context. More specifically, the paper provides in-depth knowledge about the preprocessing data, selection of input and output variables, and the underlying analytical approach to be potentially applied to other cases and urban contexts. Overall, the DEA-based methodology presented in this study could assist decision-makers and planners with developing operational strategies for planning and management of BSS stations and networks.

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A comparative efficiency and productivity analysis: Implication to airlines located in Central and South-East Europe

Cited by 24 publications

References 31 publications

Study of the Efficiency of Spanish Airlines: A Non-Parametric Data Envelopment Analysis

Study of the Efficiency of Spanish Airlines: A Non-Parametric Data Envelopment Analysis

An Evaluation of the Operational Performance and Profitability of the U.S. Airlines

Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis

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