Social exchange theory (SET) has made significant contributions to research on residents’ support for tourism. Nevertheless, studies are based on an incomplete set of variables and are characterized by alternative, yet contradictory, and theoretically sound research propositions. Using key constructs of SET, this study develops a baseline model of residents’ support and compares it with four competing models. Each model contains the terms of the baseline model and additional relationships reflecting alternative theoretical possibilities. The models were tested using data collected from residents of Niagara Region, Canada. Results indicated that in the best fitted model, residents’ support for tourism was influenced by their perceptions of positive impacts. Residents’ power and their trust in government significantly predicted their life satisfaction and their perceptions of positive impacts. Personal benefits from tourism significantly influenced residents’ perceptions of the positive and negative impacts of tourism. The study provides valuable and clearer insights on relationships among SET variables.

This study examines the relationship between international tourism and COVID-19 cases and associated deaths in more than 90 nations. We use a cross-country regression analysis and find a positive correlation between international tourism and the cumulated level of COVID-19 confirmed cases and death by April 30, 2020. Our regression analyses show that countries exposed to high flows of international tourism are more prone to cases and deaths caused by the COVID-19 outbreak. This association is robust even after controlling for other socioeconomic determinants of COVID-19 outbreak and regional dummies. Based on our estimations, a 1% higher level of inbound and outbound tourism is associated with 1.2% and 1.4% higher levels of confirmed COVID-19 cases and death, respectively, controlling for other factors. When we normalize the number of cases and death by size of population, the statistical significance remains robust, especially for the COVID-19 deaths, while the effect size reduces.

Numerous studies have focused on delineating the relationship between tourism and economic growth. In this article, we present the results of a rigorous meta-regression analysis based on 545 estimates drawn from 113 studies that empirically tested the tourism-led growth hypothesis (TLGH). The results suggest the presence of publication bias in the literature on this topic, where the majority of studies report positive and statistically significant estimates. Findings provide support for the TLGH, but they also suggest that the estimates are sensitive to a number of factors that are related to country data, specification, and estimation characteristics, and time span. Such sensitivities suggest that greater emphasis should be placed on reporting estimates of the relationship between tourism and economic growth across a variety of methodological characteristics and specification and estimation choices. The implications of the results for theory development are also discussed.

The impacts of tourism have been given much consideration by scholars attempting to investigate the attitudes of the host population toward tourism. Such studies have been carried out in rural, coastal as well as in urban areas. However, most studies on urban tourism impacts have been conducted in the context of the developed world, whereas very little research has been carried out in the urban environment of Small Island Developing States. Using a sample size of 230 residents, this study contributes to the limited literature on urban tourism in islands by examining the residents' attitudes toward tourism in Port Louis, the capital city of the island of Mauritius. Findings suggest that while the positive impacts of tourism are well recognized by the residents, the latter are also concerned with some negative influence of tourism in Port Louis. Residents were found not to be homogeneous in their perceptions toward tourism. Employment in tourism was found to be an antecedent of attitudes. Gender and age were also found to be discriminators toward some tourism impact. Findings also revealed that residents were supportive of cultural tourism development. Implications for the management of the small island urban tourism are also discussed.

Purpose: The study conceptualizes service quality as a second-order factor and analyzes its influence on customer satisfaction, perceived value, image, consumption emotions and customer loyalty by testing a structural equation model. Design/methodology/approach: The model is tested using data collected from 672 guests staying in accommodation establishments located in South Africa. The study follows a hierarchical approach using confirmatory factor analysis to test the second-order factor model and structural equation modeling to test the overall model. Findings: The results indicate that the second-order factor model is acceptable both empirically as well as conceptually and performs better than other competing models of service quality. The findings provide support for all hypotheses and evidence of a structural model with a high explanatory power. Research limitations/implications: The second-order factor model is less useful when fine-grained analyses are needed, such as when a detailed assessment of the level of quality of service offered by a hospitality organization is required. Practical implications: The second-order factor model allows for an analysis of service quality at different levels of abstraction. Accommodation managers interested in customers’ evaluation of service on a cumulative basis can make use of the global measure to determine service quality evaluations. Practitioners can also use the findings to manage the different dimensions of service quality. Originality/value: The study demonstrates that service quality is best represented as a second-order factor, and in doing so, it provides an improved measurement of the construct. More so, by integrating the variable in a nomological network, the research develops a more parsimonious model than the existing ones.