The tourism sector makes a sizable contribution to a country’s gross domestic product, increasing employment opportunities, foreign currency earnings, and economic diversification strategies. This paper uses the Environmental Kuznets Curve (EKC) model to analyze the effects of tourism on the environment in the world’s top 10 tourist countries from 1972 to 2021. Panel cointegration and second-generation unit root tests are suggested due to the presence of cross-sectional dependence and slope heterogeneity. A cross-sectional-autoregressive-distributed lag (CS-ARDL) model is applied to evaluate the marginal influence of environmental variables other than tourism on carbon dioxide (CO₂) emissions. These variables include fossil fuels, renewable energy, and nuclear energy. For the purpose of testing robustness, both the augmented mean group (AMG) and the common correlated effects mean group (CCEMG) estimators are employed. The CS-ARDL supports the EKC hypothesis in the short run and long run, but it is not significant in the short run. The existence of EKC demonstrates that rising income leads to fewer CO₂ emissions. All forms of environmental degradation can be accelerated by using fossil fuels. The results of this study indicate that CO₂ emissions can be reduced by using renewable energy and nuclear energy. A rise in tourism activity has a positive impact on environmental quality. The best-attended tourist spots around the globe are those that, in the long run, implement clean energy-related technology and promote ecotourism.

An exploratory study was conducted in Chuadanga, a southwestern district of Bangladesh to explore the status and potential of Khejur palm (Phoenix sylvestris Roxb.) husbandry in the rural economy. A total of 36 households in three villages of the district were interviewed using a semi-structured questionnaire. The farmers were categorized into five groups as landless, marginal, small, medium and large on the basis of their land holdings. The palm was distributed over seven different geographical sites of which orchards supported the most (20%). The farmers of medium category owned the most palms (33%) and the landless the fewest (4%), but most of the palms (29%) were managed by the landless category. Palms 7–14 years old growing in the agricultural fields and ails produced most sap (2500ml, on average each night). The large category farmers realized the highest average seasonal income from the palm products (Taka¹ 38,135.00), but the relative contribution to income from palm products was the highest (78%) among the landless farmers. Khejur palm husbandry could be a promising source of rural incomes in Bangladesh if the farmers' indigenous technology was linked to more scientific management practices.

The aim of this study is to identify the factors for young Bangladeshi tourists to participate in outbound tourism. This study also attempted to create a young tourist profile. The target population for this study encompassed young Bangladeshi outbound travellers from 18 to 35 years old and who took at least one foreign tour. The questionnaire was formulated in the online survey development platform known as Google form and was distributed to the respondents. In total, 145 completed questionnaires were collected. To evaluate the responses of the respondents a five-point likert scale was used. This study used SPSS 26.0 to analyze the data. The results of the demographic characteristics of the respondents were analyzed by the frequency distribution and percentage. However, mean, standard deviation and ANOVA tests were employed to analyze the variables of this study. The survey results indicate that ‘for visiting and experiencing new places & its culture’ and ‘for traveling with my friends’ are the most influencing motivations to travel among young Bangladeshi tourists: in the same time ‘lack of money’, ‘family responsibilities’ and, ‘mode of transportation’ are the most concerning factors for obstructing travel decisions for them. The other concerning limiting factors which can’t be overlooked are ‘safety and security concerns’ ‘accommodation availability’ and ‘lack of time for travel’. The findings of this study will help the business operator to formulate strategy and offer a suitable travel package for the young tourist market.

This study aims to know the prospect of wildlife tourism and measure visitor satisfaction in this market segment. The world tourism industry is proliferating with many changes, and destinations must cope with all these changes that are determined to tourist satisfaction. Bangladesh is an emerging tourism destination and shows immense prosperity in wildlife tourism. This study adopted a quantitative research approach. A well-structured questionnaire was designed to collect data, and 207 questionnaires were selected for further analysis. Statistical Package for the Social Sciences (SPSS) was used for data analysis. This study shows that tourists are satisfied and interested in wildlife tourism in Bangladesh. The challenge of wildlife tourism today is to develop more marketing strategies to attract more tourists. Wildlife operators must make appropriate connections with other attractions to maximize exposure. Policymakers must consider wildlife conservation and ensure the proper security systems in developing wildlife tourism in Bangladesh.

Purpose - Tourism is a growing industry and has the power to influence the economic, environmental, and social aspects of a community. The main aim of this study is to identify the indigenous people’s perceptions of tourism impacts and future tourism development in the Chittagong Hill Tracts (CHT) region of Bangladesh. Methodology - To conduct this study, a well-established conceptual framework was adopted, previously applied in plain land regions of Bangladesh. Data were collected from 251 indigenous people, with a valid response rate of 80.1%. Using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, the projected relationships were evaluated. Findings - The findings show that social and economic factors influence the quality of life of the indigenous community, but environmental factors are not a prime concern for them in determining the quality of life. Implications and Value - This study also identifies a positive relationship between the quality of life and the development of future tourism. Finally, this study will offer significant theoretical and practical implications for the future development of tourism in Bangladesh's CHT region.

The different digital platforms assist tourists to share and collect travel information which effects their purchasing and selection patterns. The prime intention of conducting this study was to measure tourists’ preference in using different digital technologies while they make their travel decisions. The study used a quantitative approach to gather data from Bangladeshi travelers through an online questionnaire called Google form. The non-probability convenience sampling method was used to select 246 individuals to conduct this study. The study was destined based on primary and secondary data collection methods. SPSS 26.0 was used to examine the data. The descriptive statistics were used to analyze the demographic features of the respondents, and Multiple Linear Regression and Pearson correlation were also used to support the association between the dependent and independent variables. R=.737 forecasted the variance of preferring digital technologies in selecting travel products with a goodness-of-fit level of roughly 54.3%. The digital platforms assist tourists to share and collect travel information (M=4.26) which affects their purchasing and selection patterns. The last travel plan patterns stated they usually research online (62%), mainly using/on the social media sites (41.10%), for travel information. The study highlighted the importance of these digital platforms among travelers and spotted the gap between the customer requirement and accessible digital sites for reservation and payment. So, viable and accessible payment methods should be implemented, emphasizing Bangladeshi tourists.