درخت حوزه‌های تخصصی

Purpose- This survey research was conducted with the aim of assessing the rural residents' support for tourism development and their effective factors in the tourism target villages in the Central District of Firoozabad County. Design/methodology/approach- The statistical population of this study was resident household heads. Using Bartlett Table, 155 households were studied by simple random sampling method. The data gathering tool was a researcher-made questionnaire which its validity and reliability were confirmed. Findings- Based on the findings, the residents were categorized into two groups of committed supporters and passive supporters according to their support for tourism. The results of the logistic regression model showed that the perception of social, economic and environmental impacts is directly (positively) significantly predictive of the residents' support for tourism development. The highest coefficient of the logistic regression model was related to the perception of social impacts (with a coefficient of 10.661) as compared to the economic impacts (with a coefficient of 8.659) and the environmental (with a coefficient of 7.683). In addition, in 95.5% of the cases, the function can correctly measure levels of support for rural tourism. The accuracy of the model was also confirmed through the ROC curve. Research limitations/implications- Difficulties in completing the questionnaires due to the number of the tourist arrivals and people's occupations, the reluctance of some households to respond because of the distrust resulting from the location of the village in the palace privacy, and the problems encountered in this regard, which were resolved by the researchers' frequent visits to the area and acquiring the villagers' trust. Practical implications- In addition to improving the resident's perceptions of environmental impacts, further attention must be paid to improving the residents' perceptions of economic and social impacts. Originality/value- The development of tourism industry is heavily dependent on the participation and support of local residents. Improving the residents' perceptions of the impacts of tourism will lead to more residents' support for the industry, thereby, be paid more by tourists in the area, and recommend destinations to others and their desire to return to the area.

Purpose: The development of eco-resorts is important for accommodation of domestic and foreign tourists, so their quality of indicators should be improved, regardless of its economic approach.  The purpose of this study is to spatially analyze the status of rural eco-resorts in Sari, so the present study seeks to answer these key questions: 1- What is the current status of rural eco-resorts indicators? 2- What is the level of the studied villages in terms of eco-resorts indicators? Methodology: The current study is descriptive-analytical and applied in terms of approach and aim, respectively.  Documentary and field study methods were used to obtain the required data.  The statistical population of this study consists of two groups, the first group, included experts in tourism who were selected with census method, and consequently, 15 people in total. The second group included tourists who have stayed in these eco-resorts. According to the Cochran's formula, with an error value of 0.07, 181 questionnaires were completed randomly. In order to analyze the data, descriptive statistics (mean, standard deviation and variance), inferential (one-sample t-test) and VIKOR method were used. Findings/results: Findings of the study showed that based on the significance level of the one-sample test, there is a significant relationship and difference between 7 indicators of the research. Late Letkan & Late Leteka, Tapurestan and Miansheh ranked first to third, and eco-resorts in Mah Joon (Q = 0.785), Senam and Saray Khan (Q = 0.828) had the lowest ranks. Therefore, it can be said that the resorts, which are at an acceptable level in terms of the studied indicators, have appropriate facilities and services in eco-resorts.