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Estimating airport efficiency of New Zealand airports
Institution:1. School of Engineering, Aviation Department, University of South Australia, Adelaide, Australia;2. School of Aviation, Massey University, Palmerston North, New Zealand;3. School of Economics and Finance, Massey University, Palmerston North, New Zealand;4. Department of Economics, Suleyman Sah University, Istanbul, Turkey;1. Isenberg School of Management, University of Massachusetts-Amherst, United States;2. Sauder School of Business, University of British Columbia, Canada;3. Lancaster University Management School, United Kingdom;1. Department of Industrial Engineering, Gaziantep University, 27310 Gaziantep, Turkey;2. Department of Geomatics Engineering, Turkish Military Academy, 06654 Ankara, Turkey;3. Department of Industrial Engineering, Gazi University, 06500 Ankara, Turkey;1. Department of Finance and Accounting, Goa Institute of Management, Goa, India;2. Department of Transportation Management, School of Business, University of Petroleum & Energy Studies (UPES), Dehradun 248007, India;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. Poznań University of Economics, Department of Microeconomics, Al. Niepodleg?o?ci 10, 61-875 Poznań, Poland;2. Universitat Autònoma de Barcelona, Department of Business, Plaça Cívica, UAB Campus, 08193 Bellaterra, Barcelona, Spain
Abstract:New Zealand's airport industry has experienced substantial growth over recent years, but few studies have analysed the operational efficiency of New Zealand airports. This paper aims to extend the study of Francis and Lyon (2007) by exploring the efficiency and productivity changes of New Zealand's major airports between 2010 and 2012, using slacks-based measure (SBM) model and the Malmquist productivity index (MPI). The findings suggested that the majority of New Zealand airports increased efficiency and productivity during the period under investigation, but should decrease scale of operations in order to operate at their most productive size. Decomposition of the MPI showed that most New Zealand airports experienced gains in efficiency but, in terms of technology, they have regressed. Four significant factors (i.e. airport hub status, airport operating hours, airport ownership, and the Rugby World Cup 2011) were identified by the Simar–Wilson bootstrapping regression analysis as explaining variations in airport efficiency. Importantly, the significant effect of the Rugby World Cup 2011 (a major sport tournament) on New Zealand's air transport demand and airports' efficiency has been demonstrated in this research.
Keywords:Operational efficiency  Productivity changes  SBM model  MPI  Bootstrapping
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