摘要
基于动态随机前沿模型,利用贝叶斯统计方法,通过2007—2012年长三角地区14个主要集装箱码头的面板数据对技术效率及其影响因素进行动态分析.研究集装箱码头设备、建港条件等对其产出的影响,以及集疏运体系、人力资源状况等对其技术效率的影响.研究发现:码头装卸设备对其产出的提升作用高于集装箱堆场面积和泊位长度等要素;水水中转比例、劳务工比例均对提升码头效率有正向作用;国际中转比例及员工教育水平对码头效率影响甚微.
Based on a dynamic stochastic frontier model and the Bayesian statistical method,the technical efficiency and its effect factors of the ports are analyzed by aid of the 2007-2012 panel data of 14 container terminals in the Yangtze Delta.In the modeling,handling equipment and regional factors are introduced as covariates to analyze their effects on the output of the terminal.The transportation system of the port and the employee composition are introduced as covariates to study their effects on the technical efficiency.It is evidenced that the output of the port benefits more from the inputs of handling equipment than from the area of yards and the length of berths.For exogenous variables,improvement in technical efficiency benefits more from the higher ratio of water transshipment and the larger number of worker than from the longer period of employee education and the higher ratio of international transshipment business.
作者
张世斌
时寰
ZHANG Shibin;SHI Huan(Department of Mathematics,Shanghai Maritime University,Shanghai 201306,China;Logistics Research Center,Shanghai Maritime University,Shanghai 201306,China)
出处
《上海大学学报(自然科学版)》
CAS
CSCD
北大核心
2018年第4期609-616,共8页
Journal of Shanghai University:Natural Science Edition
基金
国家自然科学基金资助项目(11671416)
全国统计科学研究资助项目(2015LY33)
关键词
动态随机前沿模型
贝叶斯分析
集装箱港口
技术效率
dynamic stochastic frontier model
Bayesian analysis
container terminal
technical efficiency