Evaluating the most effective ecological potentials of Nain city to develop slow tourism, Case study: Nain town
Abstract. With the start of the twenty-first century, tourism industry has become one of the world's high-income industries. Unceasingly degradation of underground natural resource has made slow tourism important as a filter to prevent the destruction of these resources since slow travel is associated with some values in ecotourism is and undoubtedly sustainable development of tourism in the world and Iran needs flourishing of this type of tourism. Nain city with great potentials and capabilities can be one of the regions that can be used in the field of slow tourism. The aimed of the present study is to assess the native potentials of Nain city in order to develop and investigate indicators that are most affected in development of slow tourism. And the study method has been descriptive-analytic. The Data were collected using a questionnaire and its reliability was confirmed with cronbach's alpha 80/0. Also, the data was analyzed using SPSS software and statistical tests. After several visits to the region, a tourist population of 100 patients was selected as statistical sample. Variable for predicting Income increase of host society with Value (698/0 = β, 80/31 t =) explains economic changes dimension, variable of using inns, historic buildings and homes in wilderness areas for tourism , entertainment and residential area in southeast of the desert (574/0 = β, 39/24 t = ¬) explains service dimension, the variable predicting slow cultural tourist attraction in desert area through effective participation in tourism development in desert areas especially in slow tourism by residents of the host society with value (529/0 = β, 42/22 t = ¬) explains social and cultural variable , the variable predicting slow tourism growth considering native potentials of desert area with the value (714/0 = β, 35/29 t = ¬) explains environmental dimension explain slow tourism development of area under the study . Linear regression analysis indicates that the fact that the component predicting economic outlook in the region with the 735 / explains slow tourism development dimension using potentials of the region.
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