Japanese-airport benchmarking with the DEA and endogenous-weight TFP methods: testing the criticism of overinvestment in Japanese regional airports

Yoshida, Yuichiro; Fujimoto, Hiroyoshi

doi:10.1016/j.tre.2004.08.003

Cited by 172 publications

(72 citation statements)

References 9 publications

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“…Graham [4] compared results from the decomposed TFP method (created in such a way that it is comparable to the DEA method) and the DEA method, here also, the investigations yielded broadly the same rankings. Yoshida and Fujimoto [18] examined data processed with the EW-TFP and also with the DEA method, both techniques lead to the same results. Parkan [32] however found that the OCRA method gave similar results to DEA if and only if the DEA weighs were restricted to remain around the OCRA calibration constants.…”

Section: Discussion On the Correlation And Links Between The Methodsmentioning

confidence: 93%

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Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Markovits-Somogyi¹

2012

PROMET

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Section: Discussion On the Correlation And Links Between The Methodsmentioning

confidence: 93%

“…it creates an index from two functions: one that characterizes the input consumption, and the other which describes the production. Yoshida and Fujimoto [18] examine the efficiency of 67 airports with the method, and further examples of its employment can also be found in literature.…”

Section: Use Of Production Functionsmentioning

confidence: 99%

Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Markovits-Somogyi¹

2012

PROMET

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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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“…The analysis of productivity and technical efficiency of airports is a well-established research field (see, Pels et al, 2001Pels et al, , 2003Yoshida, 2004;Yoshida and Fujimoto, 2004;Barros et al, 2010aBarros et al, , 2010b. Several techniques have been proposed in the literature to measure productivity and technical efficiency, such as the non-parametric data envelopment analysis (DEA) (see Lall, 1997, 2001;Parker, 1999;Murillo-Melchor, 1999;Adler and Berechman, 2001;Fernandes and Pacheco, 2002;Sarkis, 2000;Sarkis and Talluri, 2004;Yoshida and Fujimoto, 2004) and the parametric stochastic frontier model (see Pels et al, 2001Pels et al, , 2003.…”

Section: Introductionmentioning

confidence: 99%

“…Several techniques have been proposed in the literature to measure productivity and technical efficiency, such as the non-parametric data envelopment analysis (DEA) (see Lall, 1997, 2001;Parker, 1999;Murillo-Melchor, 1999;Adler and Berechman, 2001;Fernandes and Pacheco, 2002;Sarkis, 2000;Sarkis and Talluri, 2004;Yoshida and Fujimoto, 2004) and the parametric stochastic frontier model (see Pels et al, 2001Pels et al, , 2003.…”

Section: Introductionmentioning

confidence: 99%

Productivity change of UK airports

Barros

Managi

2014

IJLEG

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Abstract:In this paper, the two innovative non-parametric models, the Luenberger productivity model and the Luenberger-Hicks-Moorsteen productivity indicator, are used to estimate the productivity of UK airports. The airports are ranked according to their total productivity over ten years showing that the majority of UK airports did not improve their efficiency during the period. Economic implications arising from the study are derived.

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Japanese-airport benchmarking with the DEA and endogenous-weight TFP methods: testing the criticism of overinvestment in Japanese regional airports

Cited by 172 publications

References 9 publications

Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Measuring and Explaining Airport Efficiency and Sustainability: Evidence from Italy

Productivity change of UK airports

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