Search results

The current study is designed to investigate the factors that foster the framing of destination competitiveness and establish the factors that drive the contribution of tourism innovations to economic growth in smart tourism destinations.

A four-year panel data were extracted from the World Economic Forum's travel and tourism competitiveness index and data were analysed using Poisson Pseudo Maximum Likelihood regression model.

The findings demonstrate that both the enabling environment and airport infrastructure significantly affect tourism's impact on the economy of the selected smart European tourism destinations. Conversely, human resources and general infrastructure display a negative correlation with tourism's contribution to the economy. However, no data in the sample support the idea that tourism policies, government prioritization or readiness of tourism information and communication technologies impact tourism's contribution to the economy. Additionally, the marginal effects indicate that improving the enabling environment and airport infrastructure can generate additional benefits for the economy through tourism.

The uniqueness of this study is the integration of smart tourism destinations with the measure of destination competitiveness to provide an empirical bridge that links tourism competitiveness to economic growth.

This research paper aim at providing a new approach of calculating the destinations competitiveness index. How can these variables been aggregated in other to reflect the realities of very distinct productive environments? We assume that: The weighting of variables provides a better measure of destinations competitiveness. Base on the Neo-Technological theory, after a life cycle differentiation, we used a panel data approach to calculate the weight of each variable as the spearman correlation coefficient of its contribution to tourism inflows growth. After integrating these weights, we came to the point that by applying an appropriate weight to its components, we end up having a competitiveness index that significantly improve the correlation between competitiveness and tourism inflows growth.

This study aims to present diverse proposals for the measurement of tourism destination competitiveness that serve as alternatives to the travel and tourism competitiveness index (TTCI).

The proposal includes principal component analysis, the DP2-distance method, goal programming, data envelopment analysis and the Borda count. The study evaluates 17 destinations from Central America and the Caribbean.

These include the feasibility that the methodologies provide reliable competitiveness rankings and the possibility of using less information due to the strength of the statistical methodologies. International tourist arrivals, income from international tourism and travel and tourism contribution to the gross domestic product could be used as approximations of tourism destination competitiveness.

The main limitation is the absence of major destinations from the region that constitutes fierce competitors.

New aggregation methods can build composite indicators for competitiveness measurement and their presentation in a more comprehensible way.

The results serve as an alternative for countries that have yet to be considered in international tourism competitiveness comparisons.

A better explanatory power of the proposed index is given, thanks to their decomposition capacity and the reduction of the limitations of the original TTCI. Moreover, the proposals facilitate the inclusion of external information or the execution of a completely objective methodology.

本研究旨在为衡量旅游目的地竞争力提出多样化的建议, 并作为旅行和旅游竞争力指数的替代方案。

该提案包括主成分分析、DP₂ 距离方法、目标规划、数据包络分析和 Borda 计数。 该研究评估了中美洲和加勒比地区的 17 个目的地。

结果包括这些方法提供可靠的竞争力排名的可行性, 以及由于统计方法的优势而使用较少信息的可能性。 国际旅游人数、国际旅游收入以及旅行和旅游对 GDP 的贡献可以用作旅游目的地竞争力的近似值。

主要局限是该地区没有竞争激烈的主要目的地。

新的聚合方法可以为竞争力测量建立综合指标, 并以更易于理解的方式呈现。

结果可作为国际旅游竞争力比较中, 衡量尚未考虑国家的替代方案。

由于其分解能力和原始 TTCI 限制的减少, 所提出的指数具有更好的解释力。 此外, 这些建议有助于纳入外部信息及执行完全客观的方法。

El presente estudio busca presentar diversas metodologías para medir la competitividad de los destinos turísticos, de modo que sirvan como alternativa al Índice de Competitividad de Viajes y Turismo.

La propuesta incluye Análisis de Componentes Principales, el método de distancia DP₂, Programación por Metas, Análisis Envolvente de Datos y el Recuento de Borda. Se analizan 17 destinos de Centro América y el Caribe.

Estos incluyen la validez de las metodologías para obtener rankings de competitividad fiables y la posibilidad de emplear menor cantidad de información, dadas las fortalezas de los procedimientos estadísticos propuestos. Las Llegadas de Turistas Internacionales, los Ingresos por Turismo Internacional, y la Contribución del Turismo al PIB podrían ser buenas aproximaciones para medir competitividad turística

La principal limitación es la ausencia de destinos importantes de la región, que se consideran importantes competidores.

Novedosos procedimientos de agregación para crear indicadores sintéticos para medir la competitividad turística y su presentación de un modo más comprensible.

Los resultados sirven como alternativa para otros destinos que aún no han sido considerados en comparaciones internacionales de competitividad turística.

Un mejor poder explicativo de los índices propuestos, gracias a su capacidad de descomposición, y la reducción de las limitaciones del índice del WEF. Además, las propuestas facilitan la inclusión de información externa o la ejecución de un método completamente objetivo.

This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology.

Data analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness.

This study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance.

This study does not use a primary database, but uses secondary data from official sources that can be accessed by the public.

The paper includes implications for the development of intelligent technology based on big data and also requires policy innovation.

Sustainable tourism development.

This study finds the expansion of new theory competitiveness of ecotourism destinations.

The purpose of this paper is to provide a comprehensive review of the literature and develop a model of the determinants, indicators and effects of destination competitiveness (DC), as well as several propositions.

This study thoroughly reviewed extant literature to develop a conceptual model and propositions.

Two key findings are listed below. First, 12 different environmental factors are identified and 12 propositions are developed linking these environmental factors to DC. Second, a new indicator of DC is developed, namely, Tourism Attractions-Basics-Context (TABC) model. The TABC model is simple and directly taps into the benefits tourists seek in a destination.

Directions for future research are discussed in detail in the paper.

Managerial implications are discussed in detail in the paper.

The extant research on the topic of DC has been rather fragmented and incomplete in scope. The research presented in this paper addresses these limitations.

Nation branding strategies are gaining priority as an area of research because of increasing market complexities and the rising importance of national competitiveness ranking. The sustainable development of a nation brand, when properly managed, will provide the economic incentive to attract investors, tourists and generate income for local communities. Therefore, this paper aims to focus on delineating the strategic imperatives for sustainable market competitiveness of nation brands.

The research adopts an eclectic approach in examining a wider range of factors such as sustainability and market competitiveness to develop a synergistic nation brand.

For nation brands to remain competitive, it is essential to understand the key determinants of market competitiveness. These determinants include sustainable tourism factors such as culture, heritage, environmental and integration of internal and external stakeholder groups from the public and private sectors.

This paper provides a framework for the analysis of sustainable market competitiveness factors of the nation brand. It also provides implications for nation branding and future research agenda.

Several studies have been made that analyze factors that affect the demand of tourism from several optics. This paper aims to study the factors that determine the demand for tourism in Mexico, through an econometric analysis, by using the Johansen cointegration model (1991) to determine the long-term elasticity between the demand of tourists and the wealth related to its main markets (the USA and Canada) and the relative prices in Mexico and its two main competitors (the Dominican Republic and Costa Rica).

The authors used econometric analysis using Johansen’s cointegration model (1991), using as a dependent variable the demand of tourists from the main countries of origin (the USA and Canada), taking as data the number of tourists by air in the period 1980-2015, according to information from the SIIMT. The independent variables are the relative wealth of the country of origin of the tourists (wealth of the tourist in Mexico concerning the wealth in their country of origin) and the relative prices of the destination country with respect to the country of competition. The source for per capita income and the consumer price index is the World Bank.

The results obtained in this document show that in the long-term the price is a factor of impact in the purchase decision of both markets analyzed. Presenting an elastic demand to the price, which implies that the market is sensitive to the variations of the price of tourist services, opting for the destination that offers better prices, with a higher sensitivity to the price when compared with Costa Rica. Coinciding with previous studies carried out in other tourist destinations, such as in the work of Patsouratis et al. (2005).

The main contribution of this work is to determine the long-term relationship, through a cointegration analysis of Johansen (1991). A methodology that has not been used to perform a competitive analysis between countries. Additionally, the present work uses variables different from those considered in previous works; the dependent variable is the demand of tourists from the main countries of origin (the USA and Canada) and as dependent variables the relative wealth of the country of origin of the tourists (Wealth of the tourist in Mexico with respect to wealth in their country of origin) and the relative prices of the destination country with respect to the country of competition.

This study aims to identify the challenges faced by urban destinations in Spain in the current transitional stage towards a new reality of tourism, caused by the outbreak of COVID-19 and the ongoing global changes in the tourism industry.

An extensive literature review and an analysis of current debates were conducted to identify the different factors that have influenced the recent tourism phenomenon and the development of destinations on a global, regional-national and local-urban scale.

Four main challenges are identified, including the new mobility patterns of the population; information and communication technologies and the digitalisation process in urban and tourism management; sustainability, as a factor of the competitiveness, stability and viability of urban destinations; and governance in urban destinations.

The study’s findings provide valuable insights for urban destination managers to make informed decisions and adapt to the new reality of tourism.

Tourism may have important positive and negative economic, socio-cultural and environmental impacts. However, cultural and natural resources are also the base to the development of competitive destinations and changes in these resources can have an important impact on tourism development. Despite the considerable literature regarding the impacts of tourism, a limited number of studies examine the impact of the environment on tourism, specifically the impact of air quality (AQ). Therefore, this paper aims to review what is known about the impact of AQ on tourism demand, analysing the different methods and approaches used, as well as the results obtained.

A systematic literature review method was used to examine the state of the art in this topic and identify research gaps and new research directions. Only 26 papers were identified that examine the impact of AQ on tourism demand.

The majority of the studies were carried out in China and investigate the impact of AQ on tourism from the perspective of tourism demand. Both global (tourism demand) and individual (tourist perceptions) approaches have been used to investigate the impact of AQ on tourism.

This is the first systematic literature review on the impact of outdoor AQ on tourism demand. Moreover, this paper analyses the methods and approaches that have been used in the literature to examine the impact of outdoor AQ on tourism demand. The paper ends with a discussion on the identified research gaps concerning the influence of AQ on tourism development.

The purpose of the present paper was to explore the best practices of destination management in promoting tourist destinations through the Mozambique government website (INATUR) and identify strategies that enhance its visibility and online presence. This was only possible by (1) exploring if people are aware of the government website’s existence; (2) examining the existence of indicators of the engagement behaviors for the web-users (visitors) in their searching process on the government website; (3) exploring if the engagement behavior and website features have influence on the government website visitors’ satisfaction and (4) providing measures to enhance the popularity of the government website at INATUR.

The study combined a qualitative and quantitative methodological approach from the primary data collected via an online questionnaire survey of 269 random respondents, and the selected data was analyzed and processed using Stata 13 with the descriptive statistic and ANOVA [Analysis of Variance (an econometric model)] technique. The data was collected from secondary sources and from the interview, a strengths, weaknesses, opportunities, and threats (SWOT) analysis was applied with an interpretive approach.

The government website presents the minimum of relevant information to respond to the users’ needs and expectations. There is little knowledge regarding the existence of the government website for tourism destination marketing. Few respondents were surprised about this website’s existence. The optimistic side of responses came from those peple who used the website and it helped their expectation. The correlation analysis showed a significant positive relationship between the government website features and the visitors’ searching satisfaction; the interview outputs noted that the shortage of staff at INATUR with knowledge of digital marketing engagement plays a role in solving the problem of the visibility and online presence of the website.

One of the apparent limitations of this research was the world pandemic situation (Covid-19), which influenced to make abrupt arrangements in conducting the questionnaire survey and interview compared to the planned schedule. The interview was supposed to be a field research to have direct contact with her respondents and collect nonverbal information through the respondents’ body language, but unfortunately, it was not possible. Improvising was one of the solutions and had to design an online questionnaire survey for national and international tourist respondents and an emailed interview with INATUR director. Because of that, the results showed a very significant gap between African nationals and international respondents in number of 264 and 5, respectively (about in 98,14%) caused by the lockdown and traveling limitation.

The adoption of the contents in “Recommendations for policy and decision-making” can help in synergizing an integrative marketing communication strategy that enables all actors to maximize local economic benefits without spending many financial resources, and support sustainability, different tourist destination suppliers, authorities and local communities’ development. Ensuring effective and efficient communication, and above all, enhancing the provision of reliable information. Reinforce the importance of the practical teaching and learning of digital platforms in tourism schools and universities; offer a thematic tool to serve as an analytical basis in future studies, encouraging continuous scientific research on the subject under study.

Raising the awareness of the government website among tourist consumers; promoting Mozambique as a reference destination and its tourist diversity through the use of the government website; capitalizing tourists’ enterprises for communities’ development; improving the competitiveness of destinations through greater exposure of tourism products and services on the government website boosts the economic gains for the development of the tourism sector in the country. Accessibility to the information channel of Mozambican tourist destinations via the government website, and stimulating the desire to visit; improve and enrich the visitor’s experience quality on the government website in the tourist information consultation.

It is the first research in the country about tourism destination marketing using indicators like customers’ behavioral engagement levels based on social interactions such as likes, shares and comments on the government website, as well as its awareness and performance aspects, to analyze if the INATUR government website is being successful on its tourism destination marketer role. The research was also done to bring solutions to the current trends of the Covid-19 pandemic that has affected and disrupted the tourism industry.