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Incorporating negative externalities into productivity assessments of US airports
Institution: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. Transportation Management College, Dalian Maritime University, Dalian 116026, China;2. Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China;3. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;4. School of Business Administration, Nanjing University of Finance and Economics, Nanjing 210023, China;5. Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing 100081, China;1. Associate Professor of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba''i University, Dehkadeh-ye-Olympic, 1997967556, Tehran, Iran;2. Professor of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Dehkadeh-ye-Olympic, 1997967556, Tehran, Iran;3. Assistant Professor of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Dehkadeh-ye-Olympic, 1997967556, Tehran, Iran;4. Ph.D. Student of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Dehkadeh-ye-Olympic, 1997967556, Tehran, Iran;1. Division of International Trade, University of Incheon, 12-1, Songdo-Dong, Yeonsu-Gu, Incheon 406-772, South Korea;2. James R. Good Chair in Global Supply Chain Strategy, Department of Management, BAA 3008C, College of Business Administration, Bowling Green State University, Bowling Green, OH 43403, USA;1. COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Rua Paschoal Lemme, 355, 21949-900 Rio de Janeiro, Brazil;2. ISEG – Lisbon School of Economics and Management, ULisboa and CEsA - Research Centre on African, Asian and Latin American Studies, Rua Miguel Lupi, 20, 1249-078, Lisboa, Portugal;1. Gazi University, Faculty of Sciences, Department of Statistics, 06500 Teknikokullar, Ankara, Turkey;2. Selcuk University, Graduate School Of Natural and Applıed Scıences Department of Statistics, Konya, Turkey
Abstract:This paper analyses the efficiency of 44 US airports for the period 2005–2009. In addition to the conventional outputs (i.e., passengers, flights and cargo), we consider three undesirable externalities of airport activities: delays, noise and local air pollution. We adopt a directional distance function approach and perform a second stage analysis to investigate potential determinants of efficiency. Our base case results with only the positive outputs show that the greater the average aircraft size serving an airport and the larger the dimensions of the airport, the higher the technical efficiency. However, our results are sensitive to the inclusion of the undesirable outputs. The implications are that the inclusion of these externalities into the calculation of efficiency may impact policy decisions.
Keywords:Airport policy  Directional distance function  Airport technical efficiency  Noise  Pollution  Airport delays
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