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Information Journal Paper

Title

EFFECTIVE FACTORS ON IRANIAN FOREIGN TOURISM, WITH THE NEURAL NETWORKS APPROACH, (1980-2011)

Pages

  113-130

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 survey studies 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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    APA: Copy

    BABAEI SEMIROMI, MOHAMMAD REZA, NAZIFI NAEINI, MINOO, & ABBASPOUR, SAHAR. (2014). EFFECTIVE FACTORS ON IRANIAN FOREIGN TOURISM, WITH THE NEURAL NETWORKS APPROACH, (1980-2011). JOURNAL OF ECONOMIC GROWTH AND DEVELOPMENT RESEARCH, 4(14), 113-130. SID. https://sid.ir/paper/192061/en

    Vancouver: Copy

    BABAEI SEMIROMI MOHAMMAD REZA, NAZIFI NAEINI MINOO, ABBASPOUR SAHAR. EFFECTIVE FACTORS ON IRANIAN FOREIGN TOURISM, WITH THE NEURAL NETWORKS APPROACH, (1980-2011). JOURNAL OF ECONOMIC GROWTH AND DEVELOPMENT RESEARCH[Internet]. 2014;4(14):113-130. Available from: https://sid.ir/paper/192061/en

    IEEE: Copy

    MOHAMMAD REZA BABAEI SEMIROMI, MINOO NAZIFI NAEINI, and SAHAR ABBASPOUR, “EFFECTIVE FACTORS ON IRANIAN FOREIGN TOURISM, WITH THE NEURAL NETWORKS APPROACH, (1980-2011),” JOURNAL OF ECONOMIC GROWTH AND DEVELOPMENT RESEARCH, vol. 4, no. 14, pp. 113–130, 2014, [Online]. Available: https://sid.ir/paper/192061/en

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