Analysis of the impact of subsidies on the export of non-oil export insurance with fuzzy regression

One of the main goals of developing countries is abating of stable and enduring economic growth. Therefore, recognition of effective factors on this economic growth is veryimportant. Due to special significance of effective factors on non-oil exports in trade policy making, in this study the influence of different variances such efficacy of export insurance subsidy on non-oil exports has been studied. Because of the high power models to predict the behavior of economic systems based on fuzzy regression, fuzzy regression is used for modeling were also fed examine the relationship between non-oil exports with export insurance and other variables in the period 1374 to 1394 subsidy fuzzy regression Used. The results obtained from this study show that short term and long-term export insurance subsidy have positive effect on non-oil exports of the nation. According to these results and main foresighted objectives defined in future economic development document, which include reduction of dependency to oil export revenues, in order to increase non-oil exports it is suggested to use state aid conveniences like export insurance subsidy.