Estimating the Relative Efficiency of European Container Ports: A Stochastic Frontier Analysis

This paper estimates the relative technical efficiency of a sample of European container ports using the cross-sectional version of the [`]stochastic frontier model' under the assumption that the functional form of the production frontier is the log-linear Cobb-Douglas function. The estimated efficiency measures are broadly similar for the three assumed error distributions that were tested. From the results of the analysis, it is concluded that the size of a port or terminal is closely correlated with its efficiency. Ports in the United Kingdom were found to have the most efficient infrastructure usage; a finding consistent with the shortage of container-handling capacity. Scandinavian and Eastern European container terminals yielded the lowest estimates of relative efficiency. Geographical location (being displaced from the mainline intercontinental container trades) and below average size are possible explanations for this result.

[1]  C. Lovell,et al.  Econometric efficiency analysis: A policy-oriented review , 1995 .

[2]  Kevin Cullinane,et al.  The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis , 2006 .

[3]  Lourdes Trujillo,et al.  Reforms and Infrastructure Efficiency in Spain's Container Ports , 2005 .

[4]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[5]  J. B. Tabernacle A study of the changes in performance of quayside container cranes , 1995 .

[6]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[7]  W G Waters,et al.  A SURVEY OF RECENT DEVELOPMENTS IN TRANSPORTATION COST FUNCTION RESEARCH , 1996 .

[8]  Donald M. Waldman,et al.  A stationary point for the stochastic frontier likelihood , 1982 .

[9]  Kevin Cullinane,et al.  The Application of Mathematical Programming Approaches to Estimating Container Port Production Efficiency , 2005 .

[10]  Ben White,et al.  Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods , 2000 .

[11]  Jose L. Tongzon,et al.  DETERMINANTS OF PORT PERFORMANCE AND EFFICIENCY , 1995 .

[12]  Lung-fei Lee,et al.  The measurement and sources of technical inefficiency in the Indonesian weaving industry , 1981 .

[13]  Kevin Cullinane,et al.  ECONOMIES OF SCALE IN LARGE CONTAINERSHIPS: OPTIMAL SIZE AND GEOGRAPHICAL IMPLICATIONS. , 2000 .

[14]  C. Lovell,et al.  A survey of frontier production functions and of their relationship to efficiency measurement , 1980 .

[15]  Jerry A. Hausman,et al.  Panel Data and Unobservable Individual Effects , 1981 .

[16]  D. Aigner,et al.  P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? , 1977 .

[17]  K. Cullinane,et al.  The efficiency of European container ports: A cross-sectional data envelopment analysis , 2006 .

[18]  J. Cummins,et al.  Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry , 1998 .

[19]  T. Leschine,et al.  Container terminal productivity: a perspective , 1990 .

[20]  Peter Schmidt,et al.  A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data , 2000 .

[21]  Kevin Cullinane,et al.  Container Port Production and Economic Efficiency , 2005 .

[22]  R. Stevenson Likelihood functions for generalized stochastic frontier estimation , 1980 .

[23]  Byeong-Ho Gong,et al.  Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data , 1992 .

[24]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[25]  Koji Tsunokawa,et al.  Productivity and returns to scale of container ports , 1981 .

[26]  B. Bravo‐Ureta,et al.  Alternative production frontier methodologies and dairy farm efficiency. , 1990 .

[27]  S. Afriat Efficiency Estimation of Production Function , 1972 .

[28]  D. Greenaway,et al.  A Guide to Modern Economics , 1996 .

[29]  Zinan Liu,et al.  THE COMPARATIVE PERFORMANCE OF PUBLIC AND PRIVATE ENTERPRISES: THE CASE OF BRITISH PORTS. , 1995 .

[30]  Bernhard Brümmer,et al.  Estimating Confidence Intervals for Technical Efficiency: The Case of Private Farms in Slovenia , 2001 .

[31]  Mark A. Turnquist,et al.  A Firm Specific Analysis of Economies of Density in the U.S. Railroad Industry , 1984 .

[32]  P. Ji,et al.  An Application of DEA Windows Analysis to Container Port Production Efficiency , 2004 .

[33]  C. Pestana Barros,et al.  THE MEASUREMENT OF EFFICIENCY OF PORTUGUESE SEA PORT AUTHORITIES WITH DEA , 2003 .

[34]  C. Barros,et al.  Efficiency in European Seaports with DEA: Evidence from Greece and Portugal , 2004 .

[35]  H. Theil Introduction to econometrics , 1978 .

[36]  W K Talley,et al.  OPTIMUM THROUGHPUT AND PERFORMANCE EVALUATION OF MARINE TERMINALS. IN: MARITIME TRANSPORT , 1988 .

[37]  Martin Dresner,et al.  NORTH AMERICAN CONTAINERPORT PRODUCTIVITY: 1984-1997 , 2004 .

[38]  J. Tongzon,et al.  Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals) , 2005 .

[39]  P. Bauer Recent developments in the econometric estimation of frontiers , 1990 .

[40]  Theo Notteboom,et al.  Measuring and Explaining the Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models , 2000 .

[41]  R. Engle Wald, likelihood ratio, and Lagrange multiplier tests in econometrics , 1984 .

[42]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[43]  Theo Notteboom,et al.  CONCENTRATION AND LOAD CENTRE DEVELOPMENT IN THE EUROPEAN CONTAINER PORT SYSTEM , 1997 .

[44]  Harold O. Fried,et al.  The measurement of productive efficiency : techniques and applications , 1993 .

[45]  Hidekazu Itoh Effeciency Changes at Major Container Ports in Japan: A Window Application of Data Envelopment Analysis , 2002 .

[46]  Yawei Wang Inter-port Competition and Measures of Individual Container Port Accessibility , 2006 .

[47]  P. Leung,et al.  Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis , 1996 .

[48]  Semoon Chang,et al.  Production function, productivities, and capacity utilization of the Port of Mobile , 1978 .

[49]  P. De,et al.  An Alternative Approach to Efficiency Measurement of Seaports , 2004 .

[50]  A. Sachish,et al.  Productivity functions as a managerial tool in Israeli ports , 1996 .

[51]  Eduardo Martínez-Budría,et al.  A STUDY OF THE EFFICIENCY OF SPANISH PORT AUTHORITIES USING DATA ENVELOPMENT ANALYSIS , 1999 .

[52]  Emmanuel Thanassoulis,et al.  Introduction to the theory and application of data envelopment analysis , 2001 .

[53]  K. Kerstens,et al.  Cost efficiency of Belgian local governments: A comparative analysis of FDH, DEA, and econometric approaches , 1996 .

[54]  Moshe Kim,et al.  The Structure of Production, Technical Change and Productivity in a Port , 1986 .

[55]  B. Baltagi,et al.  Econometric Analysis of Panel Data , 2020, Springer Texts in Business and Economics.

[56]  Kevin Cullinane,et al.  ECONOMIES OF SCALE IN LARGE CONTAINER SHIPS , 1999 .

[57]  P. Schmidt,et al.  Production Frontiers and Panel Data , 1984 .

[58]  Carlos Pestana Barros,et al.  Incentive Regulation and Efficiency of Portuguese Port Authorities , 2003 .

[59]  D. Poirier,et al.  On the Estimation of Production Frontiers: Maximum Likelihood Estimation of the Parameters of a Discontinuous Density Function , 1976 .

[60]  W. Baumol,et al.  Contestable Markets and the Theory of Industry Structure , 1982 .

[61]  C. Lovell,et al.  On the estimation of technical inefficiency in the stochastic frontier production function model , 1982 .

[62]  Jose L. Tongzon,et al.  Efficiency measurement of selected Australian and other international ports using data envelopment analysis , 2001 .

[63]  Kevin Cullinane,et al.  The relationship between privatization and DEA estimates of efficiency in the container port industry , 2005 .

[64]  Helen B. Bendall,et al.  On measuring cargo handling productivity , 1987 .

[65]  Tengfei Wang Analysis of the container port industry using efficiency measurement : a comparison of China with its international counterparts , 2004 .

[66]  W. Greene Maximum likelihood estimation of econometric frontier functions , 1980 .