The main propose of this research is the survey of affecting globalization on tax revenue in Iran by Autoregressive Distributed lag (ARDL) approach. So other variables such as real per capita income (as an indicator of economic development), degree of urbanization, the share of agriculture in gross domestic product, dependency ratio (as an index of social and economic structure) and exchange rate, effects on tax revenue have been investigated. Stationary test of variables in the model is shown based on adjusted Dickey – Fuller. For the results of this test, the time series used in this model are characteristics I(0) and I(1). In this study, the pattern Autoregressive Distributed lag (ARDL) and the method of least squares for first or more order differencing is used. Dynamic model estimation results indicate a tendency towards long run equilibrium model. Additionally, globalization has positive effect on the proportion of total tax and the tax on trade in GDP.