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The purpose of this study is to review empirical studies on the relationship between climate change and tourism for a period of 15 years, from 2007 to 2021. The main variables analyzed were research subjects, topics and economic development levels.

Literature review was used to analyze articles published on climate change and tourism from 2007 to 2021. A staged article selection process was followed using the Scopus database. Statistical comparison tests found differences among sub-groupings of articles.

The research articles on climate change and tourism continued their upward trajectory until 2021. The 893 articles analyzed were published in 254 different journals, with over 60% from non-tourism or cross-disciplinary journals. Significant differences were found by time period and between developed and developing countries.

Gaps in the literature were detected with respect to policy analysis and it was concluded that the research for developing nations remains insufficient. More research should be encouraged to focus on the situation and solutions to climate change and tourism in developing countries. Additional research is also needed on biodiversity declines in destinations because of climate change.

This research dealt exclusively with empirical research studies in academic articles. It compared results across three different time periods and between developing and developed countries. Statistical tests supported the comparisons.

This study aims to disclose the antecedent factors for predicting support for cruise tourism in the Bahamas. It investigated the relationship between residents’ support for cruise tourism and the four indicators that were the positive/negative impact of cruise tourism on the community, perceived conflicts in sharing information and concerns about the COVID-19 pandemic.

Using 278 surveys of local residents near major cruise ports in the Bahamas, this study identified the salient variables in tourism impact and conflict factors. The survey questionnaire was adapted and developed from relevant studies and modified to suit the context of cruise tourism.

The results revealed that residents’ perceived conflict was insignificantly associated with their support for cruise tourism. In contrast, their concerns about COVID-19 and perceptions of the positive and negative cruise tourism impacts were statistically significant in predicting the likelihood of support for tourism.

This study suggests implications for enhancing the long-term growth of the cruise industry, which is vulnerable to environmental threats such as Covid-19.

The global impact of the COVID-19 pandemic has been well documented, but there is still limited insight into the complex interaction of factors that determine its longer-term effects on the most vulnerable sectors of society. The current study therefore develops an integrated conceptual framework to investigate how consumers' fear of mortality and the perceived risk of severe illness associated with COVID-19 act as critical determinants of consumer food choices and perceived well-being.

An online survey was utilized to collect data from a sample of 407 adult, low-income consumers across Trinidad and Tobago. The PROCESS macro was used to empirically test the hypothesized relationships in a moderated mediation model.

The results confirm that an increase in the perceived risk of severe illness has a significant negative effect on the consumption of healthy foods and perceived well-being. Moreover, consumers' choice of healthy foods mediates the negative relationship between consumers' perceived risk of severe COVID-19 illness and subjective well-being. Finally, the negative relationship between perceived risk of illness and healthy food choice weakens as an individual's fear of pandemic-related mortality increases.

This research integrates multiple related theoretical constructs to provide a more nuanced understanding of the lingering impact that risk perceptions and fear have on consumer food choices and associated well-being among a vulnerable Caribbean population. The changes identified have important implications for researchers interested in consumer food preferences as well as policymakers seeking to promote a healthy lifestyle among individuals coping with psychologically stressful circumstances.

This study aims to apply the appreciative inquiry approach (AI) to develop a tourism strategy for poverty alleviation in marginalised communities. The focus is to provide practical insights for leveraging tourism to drive positive socio-economic change for the impoverished, using Rosetta, a port city in Egypt with cultural and historical significance, as a case study.

This qualitative applied study uses the four-D phases of AI and thematic analysis to strategise tourism development in Rosetta. Through interviews, focus groups and field visits, the study identifies tourism potential, stakeholder aspirations and actionable strategies for sustainable development. The approach prioritises a bottom-up, community-centric and stakeholder-involved process, aiming for inclusive and equitable growth.

The study revealed Rosetta’s underutilised tourism potential, emphasising heritage tourism. Although tourism offers some economic benefits, its impact on alleviating poverty in Rosetta remains limited. A holistic strategy for tourism development in Rosetta is proposed for economic growth and poverty reduction, focusing on sustainable management, local empowerment, enhanced marketing, improved infrastructure and diversified tourism offerings.

While AI is not new in qualitative studies, the novelty of this study lies in its application to tourism planning for poverty alleviation in a marginalised community like Rosetta, introducing a comprehensive tourism strategy with an original framework applicable to comparable destinations. The study’s significance is emphasised by providing actionable strategies for policymakers, valuable insights for practitioners and enriching the discourse and methodology on pro-poor tourism for academics, representing a step towards filling the gap between theoretical concepts and practical strategies.

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

This paper aims to discuss the capability of current governance models to achieve the sustainable development goals (SDGs) in the tourism sphere and propose a broad model of governance to support the SDGs agenda.

The paper reviews the existing literature and uses it as a basis for developing a model of governance. The proposed model is inspired by recent studies that discuss the implementation of the SDGs agenda in tourism and on Fennell’s (2019) framework for tourism ethics.

The study proposes a multi-level model of governance that espouses the need for a stronger supranational system that curtails the power of both governments and the private sector. It also emphasizes the need to identify hypernorms that delimit the capacity for action at the various levels and which are determined by accessing varied stakeholders’ views within this system at the international level.

This paper proposes a model of governance for the implementation of the SDGs as a foothold for future discussions. It highlights the main challenges that may be faced in the implementation of such a system and suggests several avenues for future research.

The present paper seeks to reveal the factors underlying the intentions of women on maternity leave to engage in informal economy activities.

A representative cross sectional survey of 417 women on maternity leave was selected as a main research approach. A structural equation modelling – partial equation modelling served as a research tool.

The study revealed that the most important determinants of intentions to become involved in informal economy activities during maternity leave are unsatisfactory financial situation, complicated legal regulation and fear of becoming uncompetitive in the labour market.

To the best of authors’ knowledge, it is the first scientific attempt to investigate the informal work/economy during maternal leave.