This paper analyzes the relationship between industrial FDI and technology transfer in China since 1981 with Granger causal relationship test method and Engle-Granger cointegration relationship test method.

This paper quantitatively investigates the behavior of the money demand function by using cointegration test and vector error correction model from 1990:01 to 2004:06 in China.

Through empirical research we use cointegration and Granger causal test to evaluate the relationship between Chinese financial intermediate development and economic growth, and test the resource allocation efficiency and operation efficiency of financial intermediate.

Using coordinative theory and taking the income gap between urban and rural residents,urban and rural differences in labor productivity as the variables in Guizhou Province,through 1978-2006 macroeconomic data,the long-term lnarithm model Cointegration relationship between the income gap of urban and rural areas and difference of the urban and rural labor productivity were established.

By demonstrating the relationship between employment and these factors,the outcome of the research indicates that there is a co-integration among employment,capital stocks,real wage,marketization and technological progress;and the increase of capital stocks can not improve the scale of employment.

The change rate of the internal and external value of RMB has the convergence characteristic in the long run;There exists the co-integration relationship in the change in the internal value,external value and time value of RMB;RMB\'s internal value and external value have the trend of long-term deviation under the condition of unchanging time value.

The cointegration test is conducted to .

Secondly, according to methods of panel unit root, panel cointegration test and spatial econometrics, this paper makes an overall analysis on factors affecting urban growth.