DOI QR코드

DOI QR Code

A Comparative Study of the Relationship between Port Effeciency and Ownership Structure

항만 소유구조에 따른 효율성 모형 비교연구

  • 황진수 (인하대학교 통계학과) ;
  • 전홍석 (인하대학교 통계학과) ;
  • 강성 (인하대학교 통계학과)
  • Received : 20090800
  • Accepted : 20091000
  • Published : 2009.12.31

Abstract

Few studies have investigated the quantitative relationship between port ownership structure and port efficiency with mixed results. This paper therefore contributes to the empirical literature by investigating the impact of port privatization on port efficiency using sample data drawn from the world's major ports. Moreover, this study applies the Bayesian approach to estimate the impact of port ownership on port efficiency. We fit Bayesian stochastic frontier model which is introduced by Griffin and Steel (2007) by WinBUGS. World's 25 main ports data are used for analysis. Based on MCMC sampling, we estimate parameters of the model and efficiency index of each ports. Moreover, we add estimates from package Frontier 4.1c in order to compare them with Bayesian results.

항만이나 공항의 소유구조에 대한 효율성 분석은 지금까지 서로 엇갈리는 결과를 제시하고 있다. 즉, 민영화 또는 공영화로 인한 효율성 효과가 자료 또는 분석 방법에 따라서 일치된 결과를 보여주지 않고 있다. 본 논문은 국내의 항만이 포함된 국제 항만 교역데이터베이스를 기반으로 베이지안 확률적 프런티어 모형을 적용하여 항만의 소유 구조에 따른 효율성 분석을 하였다. 소유 구조는 Tongzon과 Heng (2005)의 방법을 따랐으며 제안된 몇 가지 모형과 그들의 모형을 DIC 통계량을 이용하여 비교하였다. 베이지안 추론에 필요한 MCMC 방법은 Griffin과 Steel (2007)에서 소개된 WinBUGS 프로그램을 이용하여 구현하였다.

Keywords

References

  1. Aigner, D., Lovell, C. and Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models, Journal of Econometrics, 6, 21–37 https://doi.org/10.1016/0304-4076(77)90052-5
  2. Baird, A. J. (1995). UK port privatization: In context. In: Proceedings of UK Port Privatization Conference, Scottish Transport Studies Group, 21, September, edinburgh
  3. Baird, A. J. (1997). Port privatization: An analytical framework, In: Proceeding of International Association of Maritime, Economist Conference, City University, London 22–24 September
  4. Battese, G. E. and Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier function for panel data, Empirical Economics, 20, 325–332 https://doi.org/10.1007/BF01205442
  5. Charnes, A., Cooper, W. and Rhodes, E. (1978). Measurement the efficiency of decision making units, Journal of Operational Research, 2, 429–444 https://doi.org/10.1016/0377-2217(78)90138-8
  6. Coelli, T. (1996). A Guide to FRONTIER Version 4.1: A computer program for stochastic frontier production and cost function estimation, CEPA Working Paper No.7/96, Department of Econometrics, University of New England, Australia
  7. Griffin, J. and Steel, M. J. (2007). Bayesian stochastic frontier analysis using WinBUGS, Journal of Productivity Analysis, 27, 163–176 https://doi.org/10.1007/s11123-007-0033-y
  8. Jondrow, J., Lovell, C. A. K., Materov, I. S. and Schmidt, P. (1982). On the estimation of technical inefficiency in the stochastic frontier production funciton model, Journal of Econometrics, 19, 233–238
  9. Meeusen, W. and van den Broeck, J. (1977). Efficiency estimation from Cobb Douglas production functions with composed errors, International Journal Economic Review, 8, 435–444
  10. Tongzon, J. and Heng, W. (2005). Port privatization, efficiency an competitiveness: Some empirical evidence from container ports(terminals), Transportation Research Part A, 39, 405–424 https://doi.org/10.1016/j.tra.2005.02.001
  11. van den Broeck, J., Koop, G., Osiewalski, J. and Steel, M. J. (1994). Stochastic frontier models: A Bayesian perspective, Journal of Econometrics, 61, 273–303 https://doi.org/10.1016/0304-4076(94)90087-6