Decomposing Growth in Portuguese Seaports: A Frontier Cost Approach

This paper analyses the extent of technical change and technical efficiency in Portuguese seaport costs between 1990 and 2000, using a stochastic cost frontier method. A translog frontier and the maximum likelihood estimation technique are employed to estimate the empirical model. The results show that the average score of inefficiency is 39.6%, denoting a high degree of waste in the use of resources, despite the fact that technical change contributed to a reduction of costs.

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

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

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

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

[5]  G. Battese,et al.  Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data , 1988 .

[6]  C. Barros,et al.  Technical and allocative efficiency in airports. , 2004 .

[7]  Y Roll,et al.  Port performance comparison applying data envelopment analysis (DEA) , 1993 .

[8]  Sergio Perelman,et al.  Technical efficiency of European railways: a distance function approach , 2000 .

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

[10]  Kevin Cullinane,et al.  A stochastic frontier model of the productive efficiency of Korean container terminals , 2003 .

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

[12]  Kevin J. Fox Specification of functional form and the estimation of technical progress , 1996 .

[13]  D. Humphrey Costs and Technical Change: Effects from Bank Deregulation , 1990 .

[14]  Kevin Cullinane,et al.  A stochastic frontier model of the efficiency of major container terminals in Asia: assessing the influence of administrative and ownership structures , 2002 .

[15]  Russell G. Thompson,et al.  The role of multiplier bounds in efficiency analysis with application to Kansas farming , 1990 .

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

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

[18]  Antonio Estache,et al.  Efficiency Gains from Port Reform and the Potential for Yardstick Competition: Lessons from Mexico , 2002 .

[19]  Sergio Perelman,et al.  A comparison of parametric and non-parametric distance functions: With application to European railways , 1999, Eur. J. Oper. Res..

[20]  Allen N. Berger,et al.  The Economic Effects of Technological Progress: Evidence from the Banking Industry , 2002 .

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

[22]  G. Battese,et al.  ESTIMATION OF A PRODUCTION FRONTIER MODEL: WITH APPLICATION TO THE PASTORAL ZONE OF EASTERN AUSTRALIA , 1977 .

[23]  P. Molyneux,et al.  Efficiency in European Banking , 1996 .

[24]  Badi H. Baltagi,et al.  A General Index of Technical Change , 1988, Journal of Political Economy.

[25]  E. Wailand Bessent,et al.  Determining the Comparative Efficiency of Schools through Data Envelopment Analysis , 1980 .

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

[27]  Barton A. Smith,et al.  Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas , 1986 .

[28]  J. K. Ashton Technical change in the UK retail banking sector: 1984-1995 , 1998 .

[29]  H. Varian Intermediate Microeconomics: A Modern Approach , 1987 .

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

[31]  Pablo Coto-Millán,et al.  Economic efficiency in Spanish ports: some empirical evidence , 2000 .

[32]  A. Charnes,et al.  Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks , 1990 .