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| SPATIO TEMPORAL PATTERNS AND LOCATION FACTORS OF FDI IN CHINA |
| HU Zhi-qiang1,2, MIAO Chang-hong1,2, HUA Ming-fang3, LIU Li1 |
1. Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center onYellow River Civilization of Henan Province, Henan University, Kaifeng 475001, China;
2. College of Environment and Planning, Henan University, Kaifeng 475004, China;
3. Weishan County Development and Reform Bureau of Shandong Province, Jining 277602, China |
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Abstract Based on the data of 274 cities in China, and using the methods of Gini coefficient, gravity analysis, spatial autocorrelation analysis and panel regression methods, this paper investigates the spatiotemporal features and influence factors of FDI location in China. The main conclusions are as following:1)At present, there is no large-scale "escape" phenomenon in China. The volatility of total FDI in China is rising and the structure of FDI tends to optimize. 2)From the spatial perspective, The distribution of foreign investment in China has gradually changed from centralization to decentralization. FDI is highly concentrated in the East of China, but its rapid development in the central and western regions has made the dispersed pattern. The FDI location distribution of gravity center is moving to the north and west, and the north moving is faster than the west moving. The hot spot of foreign capital is gradually advancing northward, while the cold zone shrinks to southwest. 3)With reference to the new classical trade theory and the new economic geographies, taking the actual use of FDI as the explanatory variable, and selecting Labor cost, infrastructure, market size, agglomeration effect, cumulative effect, openness, marketization as the explanatory factors, we established a fixed effect model to explain the FDI location choice in the national level, eastern, central, western regions and different stages respectively. We found that the effect of different factors on FDI location choice showed great differences in different regions and stages.
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Received: 18 September 2017
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2018, Vol. 33 
