中国FDI区位选择的时空格局演进及影响因素分析

发布时间：2018-04-29 10:28

本文选题：FDI + 地理集中指数　；参考：《长江流域资源与环境》2012年01期

【摘要】：随着中国改革开放的深化和经济全球化的加剧,以全球经济首要"推动者与塑造者"的跨国公司为主体的外商直接投资(FDI)成为中国经济增长和区域发展不平衡的重要催化剂。引入空间自相关和空间自回归模型,用面板数据研究了1995～2009年中国FDI时空集聚特征及其动因。结果表明:各省份实际利用FDI的过程存在较强的空间自相关性,且相关性日渐增强。从总量上来看,仍主要集中在上海、广东、江苏等东部沿海经济发达地区,但是从增速来看,呈现向沿江的重庆、四川等投资条件相对较好的中西部内陆省份转移的趋势。从局部上看,呈现由外资集聚程度较高的省份向周边相邻省份扩散的趋势。空间滞后回归模型也进一步印证了空间依赖性对FDI区位选择的重要影响。
[Abstract]:With the deepening of China's reform and opening up and the aggravation of economic globalization, foreign direct investment (FDI), with the leading "promoter and shaper" of the global economy as the main body, has become an important catalyst for the imbalance of China's economic growth and regional development. The spatial autocorrelation and spatial autoregressive models are introduced to study the spatial and temporal agglomeration characteristics of FDI in China from 1995 to 2009 with panel data. The results show that there is a strong spatial autocorrelation in the process of using FDI in various provinces, and the correlation is increasing day by day. In terms of the total amount, it is still mainly concentrated in Shanghai, Guangdong, Jiangsu and other developed eastern coastal areas, but from the point of view of the growth rate, there is a tendency to shift to the inland provinces of the central and western regions with relatively good investment conditions along the Yangtze River and Sichuan. From the local point of view, there is a tendency from provinces with higher concentration of foreign capital to neighboring provinces. Spatial lag regression model further confirmed the important influence of spatial dependence on FDI location choice.
【作者单位】：中国科学院南京地理与湖泊研究所;中国科学院研究生院;
【基金】：中国科学院知识创新工程重要方向项目(KZCX2-YW-339) 国家自然科学基金项目(40871070)
【分类号】：F832.6;F224

【参考文献】