Nazanin Naim Abadi; Farhad Javan; Sirous Hojjat Shamami
Volume 4, Issue 13 , November 2024, , Pages 18-31
Abstract
The present study was conducted with the aim of investigating rural tourism and its economic effects on the host communities of touristic villages in Rezvan Shahr County. The research method in the present study is quantitative and practical in terms of its purpose. The statistical population in this ...
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The present study was conducted with the aim of investigating rural tourism and its economic effects on the host communities of touristic villages in Rezvan Shahr County. The research method in the present study is quantitative and practical in terms of its purpose. The statistical population in this research is made up of the residents of touristic villages in Rezvan-Shahr County, in this regard, sampling in the studied area was done by multi-stage cluster sampling method, in such a way that three types of villages in the district (plains, Coastal and foothills) were identified. Then, the number of sample villages was determined by division and district using the share method. Finally, 380 people were selected as the sample community. In order to analyze the data, SPSS software and interactive matrix model were used. The results of the T- test showed that the amount of positive economic effects in four indicators (income, employment, land price, investment) from the perspective of the host community was high, and in proportion to that, the amount of negative economic effects, including: (creating The income gap and difference between the residents, the increase in the use of affordable and luxury goods, the seasonality of the income of rural households, the strengthening of fake jobs, the change of land uses for tourism purposes and activities, land speculation, the rise of land prices, high The level of investment riskiness is high in touristic villages. Further, the results of the interactive matrix model also showed that the employment index with influence power (4) has the highest influence and the land price and investment index with influence power (2) have the lowest influence from tourism. In other words, the employment index acts as the foundation stone of the model at the first level, the income index is at the second level, and the land price and investment indicators are at the third level of the model.
