An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case

Örkçü, H. Hasan; Balıkçı, Cemal; Doğan, Mustafa; Genç, Aşır

doi:10.1016/j.tranpol.2016.02.008

Cited by 75 publications

(26 citation statements)

References 47 publications

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“…Measurement of the total productivity change between period t and period t +1 refers to the frontier technology at period t as a result of M; thus M can be defined as the implied geometric during the period of the study. It can be concluded that the total productivity remains unchanged if M = 1, increases if M > 1, and declines if M < 1 [15].…”

Section: Malmquist Productivity Index (Mpi)mentioning

confidence: 97%

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Assessing Performance of Automobile Industry Using Malmquist Productivity Index With R

Day¹,

Farīd

2019

SAJIE

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The aim of this study is to measure the performance of the top ten automobile manufacturers for the years 2011 to 2016. After evaluating the data from annual reports, only six manufacturers meet the requirements. The Malmquist productivity index (MPI) is used as the measurement of performance. The MPI consists of two elements: the technical efficiency change index (TECI) and the technological change index (TCI). The 'productivity' package in the open-source programming language known as 'R' is used to estimate the MPI, TCI, and TECI with input and output orientations. The results suggest that the productivity of the automobile industry increased during the period under evaluation. The average productivity scores for the top three manufacturers are as follows: Toyota (1.4844), Volkswagen (1.3382), and Mercedes-Benz (1.4444). However, there are still some industries whose productivity score is less than 1: Ford (0.9846), Honda (0.9925), and Nissan (0.9999). The newness of this study stems from the use of MPI in the global automobile industry, using R language, an open-source application for processing data.

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Section: Malmquist Productivity Index (Mpi)mentioning

confidence: 97%

“…DEA constructed a method for assessing the comparative efficiency of decision-making units (DMUs). Generally, the measurement of efficiency is the ratio of output value to input value, where maximum efficiencies are limited to 1; thus the efficiency of a unit must be less than or equal to 1 [15].…”

Section: Malmquist Productivity Index (Mpi)mentioning

confidence: 99%

Assessing Performance of Automobile Industry Using Malmquist Productivity Index With R

Day¹,

Farīd

2019

SAJIE

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“…In view of the increasing varieties of services provided by airports, Ahn and Min (2014) studied the operational performance of 23 international airports between 2006 and 2011 using DEA in combination with the MPI and found that the performance of international airports was significantly affected by government policies and technological advances. Örkcü, Balıkçı, Dogan, and Genç (2016) used DEA and the MPI to assess the operational efficiency and productivity of 21 Turkish airports during the period of 2009 to 2014. Maroto and Zofí (2016) used DEA and the MPI to measure the accessibility of road transport infrastructure during the period 1995 to 2005 in Spain.…”

Section: Malmquist Productivity Index (Mpi)mentioning

confidence: 99%

Application of a Hybrid Method in Disaster Prevention and Relief Evaluation

Liu

Wang

2019

Technological and Economic Development of Economy

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The purpose of this study is to propose a hybrid method for disaster prevention and relief (DPR) evaluation for Taiwan. Through the hybrid method and evaluation results, the central and local governments of Taiwan could continuously improve and strengthen their DPR system. The main structure of the evaluation is based on the balanced scorecard (BSC), and 15 indicators are gathered from the literature on related issues. These indicators are further analyzed by data envelopment analysis (DEA) and the Malmquist productivity index (MPI) to assess the DPR efficiency of 13 administrative regions in Taiwan. The analysis shows that the DPR system in Taiwan might be improved in Yunlin and Hsinchu City, two administrative regions analyzed during the three stages and time frame studied. The indicators that most significantly affect DPR efficiency are the average number of people served by each government employee or teacher (L1), the supervision score of the Department of Medical Services (DMS) of the Ministry of Health and Welfare (I4), the number of licensed medical practitioners per 10.000 people (C1) and the number of social welfare workers per 10.000 people (C2). These indicators also reflect Taiwan's current shortages in DPR-related and medical personnel.Keywords: disaster prevention and relief, balanced scorecard, data envelopment analysis, Malmquist productivity index. JEL Classification: O47, C44, C61, H12.

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“…An analysis of 21 Turkish airports suggested that the efficiency of most of them improved during the years 2009-2014, while operating hours and the percentage of international traffic were the main causes for inefficiency (Örkcü, Balıkçı, Dogan, Genç, 2016). In Nigeria an analysis of 30 airports ' efficiency (2003-2013) indicated that they have the ability to learn with their own managerial practices (Wanke, Barros, Nwaogbe, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Effectiveness of National Airlines in Europe – the DEA Approach

Żółtaszek

Pisarek

2016

Folia Oeconomica Stetinensia

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National airlines operate in a highly competitive environment. EU airlines face a challenge to compete with low cost carriers, as a result of the liberalization process in the sector. European flag airlines of non-EU member states, not benefiting from liberalization, are forced to compete internationally. This research is focused on national carriers, as they provide the majority of service to and from central and regional airports. Therefore, to establish the most efficient entities on the passenger air transport market, DEA (Data Envelopment Analysis) methodology, has been utilized. The purpose of this paper is to evaluate the effectiveness of 29 chosen national airlines in Europe in the year 2013, using the DEA approach, to pinpoint the subset of fully-efficient market leaders, as well as potential sources of inefficiency, among less effective carriers. The analysis incorporates information on inputs (e.g. fleet, number of employees, number of countries and airports served) and outputs (revenue, annual passengers carried, load factor). The results show that more than 40% (12 of 29) researched airlines are effective and the other 34% are near-efficient. Moreover, outcomes suggest that "going big" may not increase effectiveness. It is harder to achieve full efficiency for big carriers than small ones.

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An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case

Cited by 75 publications

References 47 publications

Assessing Performance of Automobile Industry Using Malmquist Productivity Index With R

Assessing Performance of Automobile Industry Using Malmquist Productivity Index With R

Application of a Hybrid Method in Disaster Prevention and Relief Evaluation

Effectiveness of National Airlines in Europe – the DEA Approach

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