首页 | 本学科首页   官方微博 | 高级检索  
     检索      


When it comes to container port efficiency,are all developing regions equal?
Institution:1. Inter-American Development Bank, Infrastructure and Environment Sector, 1300 New York Ave. NW, Washington, DC, United States;2. Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 1-235, Cambridge, MA 02139, United States;3. University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, Spain;1. Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands;2. Department of Human Geography and Planning, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, 3508 TC Utrecht, The Netherlands;1. Center for Studies in Logistics, Infrastructure and Management, COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Brazil;2. Instituto Superior de Economia e Gestão, University of Lisbon, Rua Miguel Lupi, 20, 1249-078 Lisbon, Portugal;1. Tourism and Transport Research Unit, Institute of Tourism and Sustainable Economic Development, Las Palmas University, Campus Universitario de Tafira, Módulo D, Las Palmas de Gran Canaria 35017, Spain;2. Oviedo Efficiency Group, Department of Economics, University of Oviedo, Avenida del Cristo s/n, 33071, Spain;1. Inter-American Development Bank, USA;2. HEC University de Liège, Belgium
Abstract:In this paper we carry out a container port performance analysis of the developing world between 2000 and 2010, using both parametric and nonparametric approaches. From a unique dataset – our sample covers 70 developing countries, 203 ports, and 1750 data points–, we examine the evolution and drivers of productivity and efficiency changes across developing regions. We show that productivity growth rates between 2000 and 2010 vary significantly and that this heterogeneity is explained by pure efficiency changes rather than scale efficiency of technological changes. Therefore, we carry out a detailed efficiency analysis to determine the drivers of port efficiency. Time series results show an upward trend for port efficiency in developing regions, as it increased from 51 percent in 2000 to 61 percent in 2010. Our analysis indicates that private sector participation, the reduction of corruption in the public sector, improvements in liner connectivity and the existence of multimodal links increase the level of port efficiency in developing regions.
Keywords:Port productivity  Port efficiency  Developing regions  Benchmarking  Stochastic frontier analysis
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号