外商直接投资影响因素的偏最小二乘回归建模分析被引量：29

The Partial Least-Squares Regression Analysis of Impact factors of Foreign Direct Investment in China

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摘要改革开放的 2 0多年来 ,我国的外商直接投资逐年增加 ,对我国经济的快速发展发挥了重要的作用。而影响外商直接投资的因素有很多 ,不同的因素变量之间往往存在多重共线性或近似多重共线性关系 ,使得分析问题的难度加大。本文运用新型的多元统计数据分析方法———偏最小二乘 (PLS)回归方法 (既克服了传统方法的不足 ,又有效地消除了因素变量之间的多重共线性 ) ,分析了影响我国外商直接投资的因素 ,以及其影响程度。 Foreign direct investment(FDI)is increased year by year since the reform and opening of China,and it played an important role on China's economy performance There are many factors which impact FDI in China,and there is multi collinearity or nearly multi collinearity among the factors This paper adopts a new analysis method of multivariate data-the Partial Least squares(PLS)Regression, to analyze the impact factors of FDI in China,and analyze the degree of the factors,the conclusion can offer beneficial advice to introduce FDI into China

作者许和连赖明勇钱晓英

机构地区湖南大学工商管理学院

出处《中国管理科学》 CSSCI 2002年第5期20-25,共6页 Chinese Journal of Management Science

基金全国高校优秀青年教师教学科研奖励基金 (2 0 0 0 ) 国家社会科学基金 (0 1CJY0 2 3 ) 教育部博士点基金项目

关键词外商直接投资影响因素偏最小二乘回归建模分析中国 foreign direct investment impact factors partial Least Squares Regression

分类号 F832.48 [经济管理—金融学]

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