摘要
基于先行指标体系研究贸易周期,对于探测周期的拐点有重要的作用,进一步对出口、进口周期之间的关系以及出口、进口与经济周期之间的关系进行研究,将可以探测系统的拐点.然而,目前传统的景气分析方法只能针对一个经济周期进行分析,不能同时考虑多个周期的联动关系.而多维周期分析方法能够同时分析多个周期之间的动态关系及其演变过程,从而全面地反应经济周期的运行规律.本文首先对多维周期的分析方法进行了理论上的介绍;其次,运用FHLR方法构建了我国贸易周期的多维一致指数;然后,运用多维方法对贸易周期及其与重要经济变量的关系进行了多维分析,得出了一些重要结论.
The leading indicators approach can be used to study the trade cycle for probing the turning point. It also has important significance in investigating the relationship between the export cycle and the import cycle as well as the relationship between the trade cycle and the economic cycle. However, the traditional business cycle analysis can only work with a single business cycle, but fail to describe the interaction relationships among number of cycles. The multi-dimensional theory can solve the above problems since it can fully reflect the nature of the business cycles. In this paper, first, the theory of multi-dimensional analysis is introduced. Then, a group of coincident indicators of Chinese trade cycle are constructed via FHLR method; In the last part, multi-dimensional method is used to analyze the trade cycle and the interaction between trade cycle and some key economic variables.
出处
《系统科学与数学》
CSCD
北大核心
2011年第2期227-240,共14页
Journal of Systems Science and Mathematical Sciences
基金
国家自然科学基金青年基金项目(70903067)
关键词
贸易周期
多维分析
多维指数.
The trade cycle, multi-dimensional analysis, multi-dimensional index.