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基于空间自相关理论的工业产业集群功能区域划分--以湖北省为例 被引量:3

基于空间自相关理论的工业产业集群功能区域划分——以湖北省为例
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摘要 空间自相关分析法是基于对空间单元属性值聚集程度的度量,探讨区域内变量分布的规律性,其原理可用于分析空间格局聚集或分散状态、协调空间格局内主体间的平衡关系。本文首次将此计量方法用于研究省级区域内的工业发展评价分析,创新性地通过定量分析确定了湖北省工业产业集群功能区域划分体系,阐述了工业集群功能区域划分及其与空间自相关性的联系,最后针对性提出各工业集群功能区域的发展方向,强调通过发挥本地优势及周边集群效应,实现湖北省工业产业整体协调、快速的发展。 The spatial autocorrelation analysis method is based on the measure of attribute values in the aggregated spatial unit to explore the distribution regularity of variables within the region. This principle helps to analyze the aggregation or dispersion state of spatial patterns, and coordinate a balanced relationship among the main bodies within the spatial pattern. It is the first time to use econometric method for the study of the evaluation analysis of the provincial industrial development, make an innovative quantitative analysis on the function division system of Hubei provincial industrial clusters, and propose the relationship be- tween industrial clusters' function division and the spatial autocorrelation. Finally, it puts forward the orientation of various industrial functional clusters as to exert local advantages and the surrounding cluster effects to achieve the overall coordinated and rapid development of Hubei Industry.
作者 黄天蔚 商渝
机构地区 卢森林 湖北武汉
出处 《企业经济》 北大核心 2013年第1期139-142,共4页 Enterprise Economy
关键词 空间自相关理论 湖北省工业 产业集群功能区域 spatial autocorrelation theory industry in Hubei functional areas of industrial clustering
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  • 1范新生,应龙根.中国SARS疫情的探索性空间数据分析[J].地球科学进展,2005,20(3):282-291. 被引量:60
  • 2韩德林 冯亚斌 等.新疆开放与外向型经济发展--参与中亚次区域经济集团化新思维[M].乌鲁木齐:新疆科技卫生出版社,2000..
  • 3高志刚.新疆区域经济差异及其预警研究:博士论文[M].北京:中国科学院地理科学与资源研究所,2001..
  • 4Anselin L. Interactive techniques and exploratory spatial data analysis. In: Longley P A, Godchild M F, Maguire D J (eds.), Geographical Information Systems (2nd edn.). New York: John Wiley & Sons, 1999. 253-266.
  • 5Haining R, Wise S, Ma J. Designing and Implementing Software for Spatial Statistical Analysis in a GIS Environment.Journal of Geographical System, 2000, 2(3): 257-286.
  • 6Sang-Ⅱ Lee. Spatial Association Measures for an ESDA-GIS Framework: Developments, Significance Tests, and Applications to Spatio-Temporal Income Dynamoics of U.S. Labor Market Areas, 1969-1999. Dissertation: The Ohio State University, 2001.42.
  • 7Getis A. Spatial Dependence and Heterogeneity and Proximal Databases. In: Fotherinham A S, Rogerson P A (eds.),Spatial Analysis and GIS. London: Taylor & Francis, 1994. 104-120.
  • 8Wulder M, Boots B. Local spatial autocorrelation characteristics of remotely sensed imagery assessed with the Getis Statistic. International Journal of Remote Sensing, 1998, 19(11): 2223-2231.
  • 9Tiefelsdorf M. Modeling Spatial Processes: The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of Moran's I. Berlin: Springer, 2000.
  • 10Pereira J M, Carreiras J M, Vasconcelos M J. Exploratory data analysis of the spatial distribution of wildfires in Portugal, 1980-1989. Geographical System, 1998, 5: 335-390.

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