会议专题

The Dynamic Relationship between Processing Trade and Economic Growth in China

This paper, based on the annual data from 1985 to 2007, builds up multivariables’ VAR model among domestic product gross (GDP), processing trade export and processing trade import, and then analyzes the relative variance contribution of each structural impact to GDP by impulse response function(IRF) and variance decomposition. Studies have shown that for a short period, the alteration of China’s GDP is mostly affected by its own alteration, the influence of processing trade export and processing trade import on China’s GDP is low; for a long period, the contribution rate of processing trade export to GDP gradually increases while the influence coming from processing trade import is relatively weak.

processing trade GDP VAR IRF variance decomposition

Wang Xijun

School of Economics & Management Weifang University Weifang, China

国际会议

2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

成都

英文

1-4

2010-04-16(万方平台首次上网日期,不代表论文的发表时间)