摘要
文章首先分析了长三角港口群2000年以来发展的时空演化特征,然后从机理上甄选港口群空间集散的驱动因素,最后建立多元回归模型阐释长三角港口群时空集散演化的驱动机理。研究结果表明:工业发展水平、固定资产投资、外贸总额等传统因素,以及全球化、市场化、信息化等外部因素显著促进港口群吞吐量在空间上趋于集中,而城市经济实力、交通条件等传统因素,以及金融发展水平、经济服务化程度、利用外资能力推动港口群吞吐量在空间上趋于分散。
This paper first analyzes the spatial-temporal evolution characteristics of the port cluster in Yangtze River Delta since2000, then selects the driving factors of the spatial distribution of the port cluster from the mechanism, and finally establishes a multiple regression model to explain the driving mechanism of the spatial-temporal evolution of the port cluster in Yangtze River Delta. The results show that traditional factors such as industrial development level, fixed asset investment, total foreign trade and external factors such as globalization, marketization and informatization significantly promote the spatial concentration of throughput,while traditional factors such as urban economic strength and traffic conditions, financial development level, economic service level and foreign capital utilization promote the spatial concentration of throughput.
作者
蒋自然
金环环
皮春芳
JIANG Ziran;JIN Huanhuan;PI Chunfang(College of Economics and Management,Zhejiang Normal University,Jinhua 321004,China)
出处
《物流科技》
2020年第6期81-83,93,共4页
Logistics Sci-Tech
基金
浙江省自然科学基金项目(LY18D010004)
国家自然科学基金项目(41801111)
中国博士后科学基金项目(2018M630195)。
关键词
港口群
空间集散
驱动机理
长三角
port cluster
spatial distribution
driving mechanism
Yangtze River Delta
作者简介
蒋自然(1983-),男,安徽全椒人,浙江师范大学经济与管理学院,讲师,博士,研究方向:区域经济与交通地理。
