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
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)