Climate change and tourism's interaction and vulnerability have been among the most hotly debated topics recently. In this context, the study focuses on how CO 2 emissions, the primary cause of global warming and climate change, respond to changes in tourism development. In order to do so, the impact of tourism development on CO 2 emissions in the most visited countries is investigated. A panel data from 2000 to 2017 for top 70 tourist countries are analysed using a spatial econometric method to investigate the spatial effect of tourism on environmental pollution. The direct, indirect, and overall impact of tourism on CO 2 emissions are estimated using the most appropriate generalized nested spatial econometric (GNS) method. The findings reveal that tourism has a positive direct effect and a negative indirect effect; both are significant at the 1% level. The negative indirect effect of tourism is greater than its direct positive effect, implying an overall significantly negative impact. Further, the outcome of financial development and CO 2 emissions have an inverted U-shaped and U-shaped relationship in direct and indirect impacts. Population density, trade openness, and economic growth significantly influence environmental pollution. In addition, education expenditure and infrastructure play a significant moderating role among tourism and environmental pollution. The results have important policy implications as they establish an inverted-U-shaped relationship among tourism and CO 2 emissions and indicate that while a country's emissions initially rise with the tourism industry's growth, it begins declining after a limit.

Social media is an influential objective for most industries. Organizations in every sector are willing to implement this technique for achieving several business goals. Some of them are brand loyalty and service quality. The current study analyses these specific objectives in the tourism sector. The AIDA model has been considered in this scenario, where five hypotheses are generated. Instagram has been selected as the selected social media platform, as 45% of respondents preferred it. The study includes a primary research method surveying 51 respondents and evaluating the quantitative data using SPSS. The KMO and Bartlett’s Test indicated a reading of 0.932, which describes the reliability of the sample. The statistical value provides that there is a strongly positive relation (R-0.960; R2-0.922; 92.2%) between tourism brand and product quality in the sector. On the other hand, through Cronbach’s alpha, the results came as 0.997, which shows the high level of consistency between the variables. It has been further analysed that brand awareness, brand loyalty, and tourism product service are integral part of business objects that are related to social media marketing.

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