Using the VAR model to 1978-2014 in Tibet economy growth, industrial structure and urban and rural residents income gap of cointegration test, impulse response function and variance decomposition analysis, the long-term cointegration relationship exists between that economic growth, industrial structure and the income gap between urban and rural residents, the initial income gap between urban and rural residents and economic growth has the curing effect on the income of urban and rural

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... , industrial structure can improve the income gap, but in the long run, income gap between urban and rural residents and economic growth to have the improvement function to the income gap between urban and rural residents, industrial structure will increase income gap, and the industrial structure of the income gap between urban and rural residents with significantly the rate of. Preface The economy of our country has been developing rapidly since the reform and opening up. But also accompanied by unbalanced regional development, excess capacity, a series of problems such as prominent structure in urban and rural. The relationship between economic growth, industrial structure and the income gap between urban and rural areas has become particularly important in the study of the relationship between the three, is conducive to the new situation, the development of appropriate economic policies to accelerate the development of less developed areas of the economy and to achieve a comprehensive well-off society. Model Constructing Econometric Model. Vector auto-regressive model. Vector auto-regression model (VaR) model is used to predict the interrelated time series system and analysis of random disturbance on the system variables of dynamic impact, thus explaining various economic shocks on economic variables forming effect (Tiemei Gao, 2009). Based on the study of the relationship between economic growth, industrial structure and the income difference between urban and rural residents, the paper selects the time series of 1978-2014 years, so the following VAR model can be established: