摘要
本文在分析我国经济增长要素时,除选取传统的资本投入、劳动因素和人力资本作为解释变量外,还引入了制度因素和产业结构变量,通过建立变量间的回归模型并进行Granger因果检验和对变量的序列相关性及平稳性进行检验的基础上,建立了具有良好统计性质的协整与误差修正模型,较好地解释了影响我国经济增长的主要因素。
In analyzing the factors for the economic growth in China, this paper not only considers the traditional variables such as capital, labor and human resources but also introduces the variables such as institutional factor and industrial structure. Based on the regressive mathematical model on a variety of time variables with Granger causality and the test of correlation and stableness of corresponding sequence of the variables, it gives a co-integration and error correction model (ECM), which is of good statistical properties and can tell more precisely the main factors affecting China's economic growth.
出处
《北京工商大学学报(社会科学版)》
CSSCI
北大核心
2008年第4期105-108,共4页
JOURNAL OF BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY:SOCIAL SCIENCES
关键词
经济增长
制度因素
产业结构
ARMA模型
economic growth
institutional factor
industrial structure
ARMA model