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HUMAN GEOGRAPHY  2017, Vol. 32 Issue (2): 95-102    DOI: 10.13959/j.issn.1003-2398.2017.02.014
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EVOLUTION OF SPATIAL PATTERN AND INFLUENCING FACTORS OF MANUFACTURING INDUSTRIES IN GUANGDONG PROVINCE
ZHOU Rui-bo1, LI Xiao-wen1,2
1. School of Economic and Commerce, South China University of Technology, Guangzhou 510006, China;
2. Office of Statistics of the People's Government of Chang'an Town, Dongguan 523841, China

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Abstract  Traced back to Comparative Advantage Theory earliest used to explain the international trade, then to the latest New Economic Geography, theory and empirical analysis explaining the influencing factors of industrial agglomeration and diffusion are increasingly rich. However, most of the existing research on influence factors focus on the manufacturing industry as a whole, but pays little attention to the possibility that the same factors may act differently to different types of industries. Therefore, the focus of this paper lies in how different influencing factors affect in different time and to different industries, which is a supplement to the existing research. The paper figures out the spatial pattern transformation of manufacturing industries from 2000 to 2014 and the influencing factors based on the data of 2-digital manufacturing industries of Guangdong Province. The result shows that, the spatial pattern displayed agglomeration at first and turned to diffusion since 2005. Manufacturing industries have displayed significant industrial differences. Technologyintensive industries remain relatively stable concentration in Pearl River Delta, while capital-intensive and labor-intensive industries tend to diffuse in different speed. The spatial econometrical result supports new economic geography. It's not the change of labor costs and transportation fee that promote industry agglomeration and diffusion. The positive externalities that come from market potential and industry linkages overweigh the negative effect caused by land cost, which explains industries tend to concentrate in areas of high land cost.
Key wordsGuangdong province      manufacturing industry      spatial pattern      influencing factors     
Received: 10 November 2015     
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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2017.02.014      OR     http://rwdl.xisu.edu.cn/EN/Y2017/V32/I2/95
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