Authors
Abstract
Tourism has a great impact on the economic and social activities and understanding these relationships is useful for a strong contribution to the interaction between sustainable development and tourism. This study investigated the status of tourism in Iran, and then Iranian tourism demand model using neural networks method is studied. In the model input parameters include the number of incoming tourism during 1980 to 2011, the foreign exchange earned from tourism over these years and a dummy variable to investigate the effect of war on tourism demand. The results show that exchange rate is the most important and war is the less important variables in our model. It insists on the need of development plan in this industry.
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