我国东部区域经济与物流空间分布研究
Spatial Distribution of Regional Economy and Logistics Industry in East China
本文采用探索性空间数据分析方法(ESDA, Exploratory Spatial Data Analysis)对我国东部184个城市的经济和物流数据进行研究。利用全局空间自相关和局域空间自相关分析,充分考虑相邻城市相互的关联因素,定性、定量描述区域与局部地域结构与功能上的空间异质性。从Moran's I指数可以看出,经济集聚程度明显高于物流集聚。在条状的东部沿海地区物流集聚已经形成。本研究能够为我国东部区域经济和物流的协调发展、物流产业的合理布局提供理论依据,能够为政府部门提供相关决策支持。
Based on economy and logistics data of 184 cities of east China, we apply methods of exploratory spatial data analysis (ESDA) to examine variation in economics and logistics industry. This paper investigates the regional disparities at city level in east China by global spatial autocorrelation analysis and local spatial autocorrelation analysis, taking the correlation of neighbor cities into fully consideration and analyzing the spatial disparity of structure and function in global and local regions. The Moran's I for per capita GDP is higher than that for logistics industry in east China. The research can give theoretical evidence to provide reference for regional coordinate development and proper layout of logistics industry.
景楠
交通运输经济经济学综合运输
区域经济物流空间分布
regional economylogistics industryspatial distribution
景楠.我国东部区域经济与物流空间分布研究[EB/OL].(2012-08-03)[2025-07-25].http://www.paper.edu.cn/releasepaper/content/201208-33.点此复制
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