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Efficiency measurement of Chinese airports with flight delays by directional distance function
Affiliation:1. Business School, Hohai University, 8 Focheng West Road, Nanjing 211100, China;2. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Nanjing 210016, China;1. Department of Economics and Technology Management, University of Bergamo, Viale Marconi 5, 24044 Dalmine (BG), Italy;2. Robert H. Smith School of Business, University of Maryland, College Park, MD 20742-1815, United States;3. College of Business, Embry Riddle Aeronautical University, 600 S. Clyde Morris Blvd., Daytona Beach, FL 32114, United States;1. Department of Economics, University of Cantabria, Avd/ Los Castros s/n. C.P., 39005 Santander, Spain;2. UNED, Madrid, Spain;3. Department of Transportation, University of Cantabria, Avd/ Los Castros s/n. C.P., 39005 Santander, Spain;1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China;2. Center for Forecasting Science, Chinese Academy of Sciences, China;3. School of Economics and Management, Beijing Jiao Tong University, China;1. Department of Civil and Materials Engineering, University of Illinois at Chicago, Chicago, USA;2. Asia Pacific School of Logistics, Inha University, Incheon, South Korea;1. Department of Economics, Lancaster University Management School, LA1 4YX, United Kingdom;2. School of Economics, Jinan University, Guangzhou, Guangdong 510632, China;3. Center for Studies in Logistics, Infrastructure and Management, COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Brazil
Abstract:This paper employs directional distance function to evaluate the technical efficiency of twenty major Chinese airports from 2006 to 2009 within a joint production framework of desirable and undesirable output (i.e. flight delays). The results indicate that the overall average efficiencies of Chinese airports increased over the period of time. The international hub airports are found to operate at higher efficiency level, which indicates that these airports run well in producing more desirable outputs and controlling flight delays. Although the average efficiency score of listed airports is higher than non-listed ones, the difference between the two group is statistically insignificant. A comparison between the results without and with flight delays show that several airports experienced significant changes in their efficiency scores after considering undesirable output.
Keywords:Chinese airports  Flight delays  Data envelopment analysis  Directional distance function
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