Technical Efficiency Evaluation of Alliance Airports in China

Jiang, Yonglei; Wang, Lu; Wang, Chenyu; Zhu, Yao-wen; Feng, Tao; Zheng, Shukang

doi:10.1061/9780784479292.013

Cited by 1 publication

(3 citation statements)

References 5 publications

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“…The total value is the sum of passenger terminal areas when an airport has multiple passenger terminals. • Total runway length (m) (Jiang et al, 2015): represents the sum of the runway length when an airport has more than one runway. • Apron area (m²) (Lo Storto, 2018): the total apron area includes the passenger apron area, the cargo apron, general aviation apron area, and other aircraft parking areas.…”

Section: Methodsmentioning

confidence: 99%

“…They suggested that the variation in airport ef,iciency could be explained by the percentage of international passengers' traf,ic, the number of airport employees, dominant airlines, and per capita GDP growth. Jiang et al (2015) conducted a study covering 9 Chinese airports. On the coastal region of the country, the density of civil airports reached one per city, but large-scale airports were supersaturated while medium and minor ones operated in de,icit, suggesting an airport alliance as a solution to the survival of the medium and small ones.…”

Section: Dea Applied To Airportsmentioning

confidence: 99%

“…It has the advantage of computing multiple inputs and outputs at the same time, measuring a relative ef,iciency among samples. Several studies have applied DEA to evaluate the operational ef,iciency of airports in Argentina (Barros, 2008), Asia and Paci,ic (Tsui et al, 2014), China (Jiang et al, 2015), Italy (Carlucci et al, 2018), United States (Bazargan and Vasigh, 2003), and Turkey (O@ rkcü et al, 2016). Generally, studies are limited to mathematical models with either constant or variable returns to scale using only input or output orientation.…”

Section: Introductionmentioning

confidence: 99%

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Does privatization make Brazilian airports more efficient?

et al. 2021

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Airport concessions to private management began in Brazil in 2011 to address infrastructure bottlenecks and the need for investments. Productivity improvements after privatization need to be measured and efficiency gains can help to identify strategic points where to intervene both in current and upcoming concessions. However, previous studies have applied neither the Slacks-Based Measure Data Analysis Envelopment models nor the second stage Tobit regression to evaluate airport efficiency, especially in the context of Brazilian airport privatization. The objective of this study is to verify if privatization contributes to improving Brazilian airports' productive efficiency compared with public airports, using variable slacks and identifying new socio-economic variables that may influence the productive efficiency index. A two-stage SBM-DEA approach found that only 40% of the sample among 28 airports are efficient, evidencing poor management overall, and the slacks show the sectors that need most attention and investments. Based on the productive process and the sample evaluated, the study concludes that privatization of Brazilian airports did not improve their production efficiency. A revision of the contracts in the first round of concessions is suggested, as contractual obligation may result in lower production efficiency.

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Section: Methodsmentioning

confidence: 99%

Section: Dea Applied To Airportsmentioning

confidence: 99%