Integrating location quotient, local Moran's I and geographic linkage for spatial patterning of industries in Shanghai, China

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI:10.1109/GEOINFORMATICS.2011.5980854

Jing Feng, M. Ji

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引用次数: 4

Abstract

Metropolitan areas serve as centers of innovation and modernization for future development in China. Urban industrial structures are important research subjects in economic geography and industrial economics. Conventional studies have relied on aggregated population and employment data to construct indices of industrial spatial structures. This paper aims to reveal the spatial pattern using the establishment (point) data of various industries within each block in Shanghai from three perspectives. Location quotient, local spatial autocorrelation analysis, and the coefficient of geographical linkage were applied to investigate point patterns and inter-industrial spatial associations. The comparative analysis of spatial pattern on industries in urban and suburban areas was performed to discuss the development density of industries and the spatial relationship of establishments in different districts and industries. This empirical study may provide some useful findings to relevant decision makers for urban planning and allocation of urban industries.

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基于区位商、地方Moran’s I和地理联系的上海产业空间格局研究

大都市区是中国未来发展的创新和现代化中心。城市产业结构是经济地理学和产业经济学的重要研究课题。传统的研究依赖于人口总量和就业数据来构建产业空间结构指数。本文旨在从三个角度，利用上海各街区内各类产业的设定值(点)数据揭示其空间格局。利用区位商分析、局部空间自相关分析和地理联系系数分析了点格局和产业间空间关联。通过对城市与郊区产业空间格局的比较分析，探讨了不同区域、不同行业的产业发展密度和机构空间关系。本文的实证研究可为城市规划和产业配置的相关决策者提供一些有益的启示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2011 19th International Conference on Geoinformatics

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