A stochastic frontier model of the productive efficiency of Korean container terminals
A central objective of port privatization and/or deregulation policies is stimulating greater efficiency by engendering a more competitive market and commercial approach to management. Korea provides a prime example of a nation that is implementing such policies. Also, its ports play a pivotal role in world shipping, particularly in the ever-burgeoning container market. The success of these policies in increasing the productive efficiency of Korean container terminals is assessed. The UK container terminal sector provides a useful benchmark for comparison since privatization and deregulation have formed an integral part of UK port reforms for nearly 20 years and the effect on efficiency, having had time to mature, will be much easier to gauge. The stochastic frontier model is justified as the chosen methodology for estimating productive efficiency levels and is applied to cross-sectional data under a variety of distributional assumptions. A panel data model is also estimated. Results are consistent and suggest (1) The degree of private sector involvement in sample container terminals is positively related to productive efficiency and (2) Improved productive efficiency has followed the implementation of privatization and deregulation policies within the Korean sector. Even though not categorical, these conclusions are important because the market for container throughput is internationally competitive and if policies which promote competition between Korean container terminals lead to greater productive efficiency, this will inevitably make the sector as a whole more competitive internationally.
Volume (Year): 35 (2003)
Issue (Month): 3 ()
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- Tongzon, Jose L., 1995. "Determinants of port performance and efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(3), pages 245-252, May.
- Peter C.B. Phillips & Pierre Perron, 1986.
"Testing for a Unit Root in Time Series Regression,"
Cowles Foundation Discussion Papers
795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
- Phillips, P.C.B., 1986. "Testing for a Unit Root in Time Series Regression," Cahiers de recherche 8633, Universite de Montreal, Departement de sciences economiques.
- Tom Doan, . "PPUNIT: RATS procedure to perform Phillips-Perron Unit Root test," Statistical Software Components RTS00160, Boston College Department of Economics.
- Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
- Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
- Guilkey, David K. & Schmidt, Peter, 1989. "Extended tabulations for Dickey-Fuller tests," Economics Letters, Elsevier, vol. 31(4), pages 355-357, December.
- Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107, March.
- Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990.
"Production frontiers with cross-sectional and time-series variation in efficiency levels,"
Journal of Econometrics,
Elsevier, vol. 46(1-2), pages 185-200.
- Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1989. "Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels," Working Papers 89-18, C.V. Starr Center for Applied Economics, New York University.
- Schwert, G William, 2002.
"Tests for Unit Roots: A Monte Carlo Investigation,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 20(1), pages 5-17, January.
- Braeutigam, Ronald R & Daughety, Andrew F & Turnquist, Mark A, 1984. "A Firm Specific Analysis of Economies of Density in the U.S. Railroad Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 33(1), pages 3-20, September.
- Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Aigner, Dennis J. & Schmidt, Peter, 1980. "Editors' introduction," Journal of Econometrics, Elsevier, vol. 13(1), pages 1-3, May.
- Ferrantino, Michael J. & Ferrier, Gary D., 1995. "The technical efficiency of vacuum-pan sugar industry of India: An application of a stochastic frontier production function using panel data," European Journal of Operational Research, Elsevier, vol. 80(3), pages 639-653, February.
- Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
- Gong, Byeong-Ho & Sickles, Robin C., 1991.
"Finite Sample Evidence on the Performance of Stochastic Frontiers and Data Envelopment Analysis Using Panel Data,"
91-12, C.V. Starr Center for Applied Economics, New York University.
- Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
- Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
- Boardman, Anthony E & Vining, Aidan R, 1989. "Ownership and Performance in Competitive Environments: A Comparison of the Performance of Private, Mixed, and State-Owned Enterprises," Journal of Law and Economics, University of Chicago Press, vol. 32(1), pages 1-33, April.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
- Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
- Theo Notteboom & Chris Coeck & Julien Van Den Broeck, 2000. "Measuring and Explaining the Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models," Maritime Economics and Logistics, Palgrave Macmillan, vol. 2(2), pages 83-106, June.
- Blangiewicz, Maria & Charemza, Wojciech W, 1990. "Cointegration in Small Samples: Empirical Percentiles, Drifting Moments and Customized Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(3), pages 303-15, August.
- Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
- Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
- Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-98, October.
- Lovell, C. A. Knox, 1995. "Econometric efficiency analysis: A policy-oriented review," European Journal of Operational Research, Elsevier, vol. 80(3), pages 452-461, February.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
- Tongzon, Jose, 2001. "Efficiency measurement of selected Australian and other international ports using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(2), pages 107-122, February.
- Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
- Keith Hartley & David Parker & Stephen Martin, 1991. "Organisational Status, Ownership and Productivity," Fiscal Studies, Institute for Fiscal Studies, vol. 12(2), pages 46-60, May.
- Hendry, David F & Doornik, Jurgen A, 1994. "Modelling Linear Dynamic Econometric Systems," Scottish Journal of Political Economy, Scottish Economic Society, vol. 41(1), pages 1-33, February.
- John Vickers & George Yarrow, 1988. "Privatization: An Economic Analysis," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262720116, June.
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