摘要
先运用非期望产出的超效率SBM模型测算粤港澳大湾区港口效率,然后利用Tobit模型分析其影响因素。研究结果表明,粤港澳大湾区港口效率整体偏低,但一直呈上升趋势,空间上呈“沿海高、内河低”的分布格局;经济发展水平和物流业发展水平对港口效率具有显著的正向作用,而城镇化水平、环境污染程度对港口效率的影响不显著。
Employ the super efficiency model of unexpected output SBM to calculate the port efficiency in the Guangdong-Hong Kong-Macao Greater Bay Area,and then use Tobit model to analyze its influencing factors.The results show that the overall port efficiency in the Guangdong-Hong Kong-Macao Greater Bay Area is relatively low,but it has been on an upward trend,with a spatial distribution pattern of"high coastal areas and low inland rivers".The economic development level and logistics industry development both have a significant positive effect on port efficiency.The effect of urbanization level and environmental pollution degree on port efficiency are not significant.
作者
叶善椿
YE Shanchun(School of Business&Trade,Dongguan Polytechnic,Dongguan 523808,China)
出处
《物流科技》
2023年第11期99-101,共3页
Logistics Sci-Tech
基金
中国物流学会课题项目(2022CSLKT3-285)
东莞职业技术学院科研基金项目(2021a14)。
关键词
港口效率
粤港澳大湾区
碳排放
超效率SBM模型
port efficiency
Guangdong-Hong Kong-Macao Greater Bay Area
carbon emissions
super efficiency SBM model