交通运输系统工程与信息 ›› 2013, Vol. 13 ›› Issue (5): 64-71.

• 系统工程理论与方法 • 上一篇    下一篇

道路公共交通效率的随机前沿分析方法

Sami Jarboui*1,Pascal Forget2,Younes Boujelbene1   

  1. 1. 斯法克斯大学 经济与管理学院,突尼斯 斯法克斯; 2. 魁北克特瓦河大学 工程学院,加拿大 三河市
  • 收稿日期:2012-09-29 修回日期:2013-04-22 出版日期:2013-10-25 发布日期:2013-11-08
  • 作者简介:Sami Jarboui(1984-),男,博士生,研究员.

Public Road Transport Efficiency: A Stochastic Frontier Analysis

Sami Jarboui1,Pascal Forget2,Younes Boujelbene1   

  1. 1. Faculty of Economics and Management of Sfax, University of Sfax, Tunisia; 2. School of Engineering, University of Quebec, Trois-Rivieres, Canada
  • Received:2012-09-29 Revised:2013-04-22 Online:2013-10-25 Published:2013-11-08

摘要:

本文旨在测算18个城市共64个道路公共交通运营商的技术效率,并研究各因素对这些企业效率水平的影响程度.随机前沿分析(SFA)方法采用从2000年至2011年共计12年的样本数据.结果表明,营业利润、资本投入和企业规模都是影响技术效率水平的重要因素.计算得出的道路公共交通运营商的技术效率水平在0.46至0.95之间.投资较多的大规模运营商比小规模运营商技术效率更高,发达国家的运营商比发展中国家表现出更高的技术效率.

关键词: 城市交通, 效率, 道路公共交通, 随机前沿分析

Abstract:

The objectives of this paper are to measure the technical efficiency of 64 public road transport operators in 18 countries and to investigate the degree to which various factors influence efficiency levels in these firms. Stochastic frontier analysis (SFA) methods are applied to the sample over a twelve year period from 2000 to 2011. The empirical results indicate that operating profit, investment and firm size have a significant influence on technical efficiency levels. Conclusions indicate that technical efficiency level of public road transport operators varies between 0.46 and 0.95. Observations can be made that large-size operators with more investment capacity tend to be more technically efficient than small-size operators. Finally, the results concluded that operators from developed countries are technically more efficient than those of developing countries.

Key words: urban traffic , efficiency, public road transport, stochastic frontier analysis

中图分类号: