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- W3006626969 abstract "Based on the industrial enterprise's data in China, various spatial statistical methods, such as standard deviation ellipse and kernel density estimation, were used to measure the spatial differentiation pattern of enterprises invested in the United States by the Guangdong province in 2006, 2009, 2012 and 2015, and the geographical factors affecting the spatial distribution of enterprises were analyzed by using geographical detector. The results show that: the spatial distribution of the enterprises is in the state of diffusion - agglomeration - diffusion along the long axis of the standard deviation ellipse and in the state of diffusion - diffusion - agglomeration along the short axis. The distribution center presents a changing trend of northeast - northwest - southeast movement, and the center has been in the territory of Dongguan. The core area of highest density is mainly in the pearl river delta region and is spread over Nanshan district, Futian district, Baoan district, Luohu district, the core area of Shenzhen city, the core area of Yuexiu district, Tianhe district and Haizhu district. Technological innovation capability and foreign capital utilization have always been the two factors that have the greatest impact on the spatial layout of investment enterprises in Guangdong Province and the United States. The informationization level in the later period influence gradually, but the transportation accessibility and the regional policy influence effect is always very low." @default.
- W3006626969 created "2020-02-24" @default.
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- W3006626969 date "2019-12-01" @default.
- W3006626969 modified "2023-09-25" @default.
- W3006626969 title "The Spatio-Temporal Pattern Evolution of Enterprises Invested in US by Guangdong Province and Its Formation Mechanism" @default.
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- W3006626969 doi "https://doi.org/10.1109/icemme49371.2019.00087" @default.
- W3006626969 hasPublicationYear "2019" @default.
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