درخت حوزه‌های تخصصی

In December 2019, some people in China were diagnosed with pneumonia which was found in the first studies to be related to the animal and food market in Wuhan, China. The newly identified virus which was named "Coronavirus 2019” spread all around the world, influencing different economic, political, and cultural fields. Since one of the most important sectors affected by the virus was the environment, the present study aimed to investigate the effect of COVID-19 pandemic on the realization of the right to a healthy environment. The findings showed that the virus reduced fossil fuels-related activities, especially in the world's oil companies and fashion and textile industries with high water consumption and water pollution, Decreasing air air pollution due to reduced domestic and foreign travel, And increasing the consumption of household safe drinking water and a decrease in the production of waste, especially toxic kinds. Also, the virus partially altered consumerism and international macro-behavioral patterns inconsistent with sustainable development, so that at the individual level, the purchase of unnecessary clothing and consumables was not done solely change the mood and on a global level, it strengthened the hope of living without fossil fuels and replacing them with renewable energy.  

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.