文献类型：会议论文

英文题名：A positive analysis of the national debt dependence degree and related factors

作者：Li, Dongju[1]; Qiao, Han[1]

通讯作者：Li, D.

机构：[1] Department of Statistics, Henan University of Economics and Law, Zhengzhou, China

第一机构：河南财经政法大学统计与大数据学院

会议论文集：2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings

会议日期：8 August 2011 through 10 August 2011

会议地点：Zhengzhou

语种：英文

外文关键词：Artificial intelligence - Regression analysis - Statistical mechanics - Taxation

摘要：Some scholars in China believe that the active fiscal policy should be stopped gradually in these years. However, because of the happening of the international financial crises, the central government will continue to implement the active fiscal policy. In this paper, we choose the period from the time when China began its reform and opening up to nowadays as the studying time section, take the national debt dependence degree Y as the dependent variable and the national debt dependence degree Y-1, the macroscopic tax rate X1, and the fiscal income centralization degree X2 as the independent variable, utilize statistical tools such as BOX-COX transformation to make data transformation to reveal effectively the complex dependency relationship among the variables above by the regression analysis. The result showed that the macroscopic tax rate played a positive effect on the national debt dependence degree, which was weaker than the negative effect of the fiscal income centralization degree. According to the conclusions above, this paper hopes to provide theoretical support to maintain steady and rapid development with the active fiscal policy. ? 2011 IEEE.