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This paper aims to investigate the availability and contribution of destinations’ telecommunication structure and development on tourism development for the case of the small island economy of Mauritius.

The research uses annual data from 1992 to 2017 in a dynamic econometric setting, namely, an autoregressive distributed lag model to take into account the time series properties of the data.

Analysis of the results showed that telecommunication has contributed positively, albeit to a lesser extent as compared to other classical determinants, to tourist development in both the short and long run. In addition, the relatively high income elasticity also suggests that Mauritius is considered as a luxurious destination. Tourists were found to be sensitive to the relative prices and cost of the destination, tourism infrastructure and the island’s development level. Finally, the study confirms the presence repeat tourism on the island.

The result clearly provides support to the Government’s strategy to pursue an accelerated investment in telecommunication infrastructure and also to give further incentives to private operators to promote innovation and enhanced connectivity. It is recognised that the positive effect of telecommunication on the tourism industry relies on a national enabling telecommunication environment which is multi facet in nature, relying on to a large extent on infrastructure, access, capacity building and the legal framework among others.

The study is believed to supplement the literature by analysing the telecommunication–tourism link in a direct way as existing studies have largely discussed the link indirectly. Moreover, it uses a classical international demand for tourism model, augmented with a measure of telecommunication, and uses recent dynamic time series econometric framework to account for the existence of dynamism in tourism modelling. Finally, the research brings additional evidences from an island economy perspective (heavily tourist dependent and geographically remote), often neglected by the related literature which has focused mainly on developed countries.

This paper aims to examine the relationship between tourism development and income inequality, closely linked to the Sustainable Development Goals, for the case of a large sample of 83 countries (and subsamples) over the period 1990–2019.

This study uses rigorous dynamic panel data analysis, namely, a Panel Vector Autoregressive Error Correction model, which takes into account both dynamic and endogenous relationships in the tourism-inequality nexus.

The results provide strong support that tourism development has an income inequality reducing effect (albeit relatively small with a reported elasticity of 0.05). Subsamples analysis reveals that the impact of tourism on income inequality varies and is relatively larger in developing economies and those tourist-dependent economies, as compared to developed economies. In fact, it is reported that a 1% increase in tourism development reduces income inequality by 0.46% for developing and 0.56% for tourist-dependent economies as compared to only 0.02% in developed economies. It is further observed that tourism may affect income inequality indirectly via economic growth.

This paper attempts to supplement the dearth literature on the tourism-inequality nexus by analyzing subsamples from a large data set while also using a dynamic panel data framework. The potential indirect effect of tourism on inequality via the economic growth channel is also explored.

该研究采用了严格的动态面板数据分析, 即面板向量自回归误差修正模型（PVEM）, 该模型考虑到了旅游业不平等关系中的动态和内生关系。

本文以1990–2019年期间83个国家（及其子样本）的大样本为例, 研究旅游业发展与收入不平等之间的关系。

本研究结果证明, 旅游业发展具有减少收入差距的作用（尽管相对较小, 报告的弹性为0.05）。子样本分析显示, 与发达经济体相比, 旅游业对收入不平等的影响在发展中经济体和那些依赖游客的经济体中存在差异且相对较大。事实上, 据报道, 旅游业发展每增加1%, 发展中经济体的收入差距就会缩小0.46%, 依赖旅游的经济体会缩小0.56%, 而发达经济体的差距仅缩小0.02%。本研究进一步观察到, 旅游业可能通过经济增长间接影响收入差距。

本文试图通过分析大型数据集的子样本, 同时采用动态面板数据框架, 来补充关于旅游与不平等关系的文献的不足。本文还探讨了旅游业通过经济增长渠道对不平等的潜在间接影响。

El estudio emplea un riguroso análisis dinámico de datos de panel, concretamente un modelo de corrección de errores autorregresivo vectorial de panel (PVEM), que tiene en cuenta tanto las relaciones dinámicas como las endógenas en el nexo turismo-desigualdad

Este documento examina la relación entre el desarrollo del turismo y la desigualdad de ingresos, estrechamente vinculada a los Objetivos de Desarrollo Sostenible, para el caso de una amplia muestra de 83 países (y submuestras) durante el periodo 1990-2019.

Los resultados apoyan firmemente que el desarrollo turístico tiene un efecto reductor de la desigualdad de ingresos (aunque relativamente pequeño, con una elasticidad declarada de 0,05). El análisis de submuestras revela que el impacto del turismo en la desigualdad de ingresos varía y es relativamente mayor en las economías en desarrollo y en aquellas economías dependientes del turismo, en comparación con las economías desarrolladas. De hecho, se informa de que un aumento del 1% en el desarrollo del turismo reduce la desigualdad de ingresos en un 0,46% en las economías en desarrollo y en un 0,56% en las economías dependientes del turismo, frente a sólo un 0,02% en las economías desarrolladas. Se observa además que el turismo puede afectar indirectamente a la desigualdad de ingresos a través del crecimiento económico.

El artículo intenta complementar la escasa bibliografía sobre el nexo entre turismo y desigualdad analizando submuestras de un gran conjunto de datos y empleando un marco dinámico de datos de panel. También se explora el posible efecto indirecto del turismo sobre la desigualdad a través del canal del crecimiento económico.

Although it is a widely accepted fact that climate change can negatively impact on tourism demand and affect the economies at the socio-economic level, empirical studies on the climate change tourism development nexus has been quite scant, especially for the case of island economies that are heavily dependent on tourism. This study aims to supplement the literature on climate change and tourism by empirically assessing the relationship between climate change and tourist arrivals for the case of 18 small island developing states over the period from 1989 to 2016.

This paper uses dynamic panel data techniques, namely, a panel vector autoregressive framework, which accounts for dynamic and endogeneity issues.

The results from the analysis confirm the existence of a significant relationship between climate change and tourism demand in both the long-run and short run. Further analysis shows a bi-directional causality between climatic change and tourism demand while the study also confirms the tourism led growth hypothesis.

This research supplements the literature on the tourism-environment link, especially for tourism dependent island economies.

Results from this study are important to policymakers who should spare no effort to mitigate the effect of adverse climatic change in the context of tourism development.

This study is built on a unique data set for a sample of island economies and interestingly adopts dynamic panel data analysis to account for dynamics and endogenity in the climate change-tourism development nexus.

This study aims to focus on the direct, mediating and moderating effects of corporate governance (CG) and capital structure (CS) in their relationships with firm performance (FP).

Multivariate panel data regression techniques are employed to analyse the direct, mediating and moderating impacts of the CG and CS on FP of 38 listed Mauritian non-financial companies from 2009 to 2019.

This study shows that CG has a positive but insignificant influence on return on equity (ROE) and Tobin's Q. CS has a significant negative impact on both ROE and Tobin's Q and supports the pecking order theory (POT). The interaction of CG and CS influences FP, but the strength of the moderating effects depends on the performance measure being used. Both CS and CG have no mediation effects in their relationship with FP measured by ROE and Tobin's Q.

The results indicate that the combination of the high leverage ratio and good governance practices of companies can improve FP and increases investor confidence resulting in a positive reaction on their market share prices.

This paper contributes to the CG and CS literature by introducing a more precise and comprehensive research approach and is the first to attempt to extend CG and CS in their associations with FP by incorporating both CG and CS as profound moderator and mediator variables simultaneously in the same study.

Using panel data for the Regional Comprehensive Economic Partnership (RCEP) member states, the present study explored the role of RCEP negotiations on tourism development.

A dynamic econometric model, namely the panel autoregressive dynamic lag model (PARDL) has been used. To test for panel causality, Dumitrescu–Hurlin panel causality tests were used.

Through the use of a dynamic econometric model, namely the PARDL, the results show that the RCEP negotiations, growth rates, as well as international trade contribute towards tourism development. Furthermore, the Dumitrescu–Hurlin panel causality tests confirm the existence of a bidirectional causal link between tourism development and RCEP negotiations. Finally, a unidirectional causal link is observed between tourism development and international trade.

This existing evidence on the topic seems to be very scant and limited to specific regions and particular regional trade agreements. This paper thus fills an important gap in the literature by advancing evidence about the effects of the RCEP on international tourism flows across member countries.

Real gross domestic product (GDP) growth for Mauritius has averaged more than 5 per cent since 1970 and GDP per capita has increased more than tenfold between 1970 and 2012, from less than $500 to more than $9,000. It has often been reported that human capital, along with other growth enablers, has played an important role in this development. The purpose of this paper is to study this nexus.

A human capital augmented Cobb-Douglas production function is used, where output is also a function of capital and labour. One of the innovations of the present paper is the use of a composite index to proxy human capital. The authors investigate the impact of human capital on economic growth in a dynamic vector error correction modelling (VECM) framework.

The general results here show that stock, labour and human capital are all significant growth determinants, with human capital having a long-run output elasticity of 0.36. The VECM results generally validated the long-run output elasticity, although a relatively lower elasticity of 0.1 is obtained. Both sets of results tend to point to the fact that human capital has significantly contributed to economic growth in Mauritius.

The current paper paves the way for future work, which can build on the composite HCI developed here and aggregate it with relevant variables representing tertiary education and training, to better analyze and further understand the role of human capital on economic growth in Mauritius.

Here, the authors posit that human capital is an aggregate of health, education and nutrition, and the authors use a composite index along with other contributing factors to study its impact on economic growth, within a VECM framework.

This study aims to confirm the expected impact of coronavirus (COVID-19) related to perceived travel risk on the likelihood of tourists to visit a destination. It then aims at identifying the key predictors of perceived travel risk in the aftermath of the COVID-19 pandemic. A theoretically grounded framework is proposed which can be further improved to understand and predict international travel behaviours within the context of global pandemics.

A mixed-methods design is adopted. In the first phase referred to as Study 1, a cross-sectional design is used based on a sample of 217 international outgoing tourists surveyed at the Mauritian International Airport and data is analysed using hierarchical regression. In Phase 2, referred to as Study 2, a purposive sample of tourists around the world are interviewed and data is analysed using the thematic analysis technique.

The results show that amongst those tourists who are willing to travel in the aftermath of the COVID-19 crisis, the related perceived risk is likely to influence their travelling intention. Several key predictors of perceived travel risks are uncovered, those are categorised as COVID-19 status; transportation services; national sanitary measures; health-care services; accommodation services; ecotourism facilities. Moreover, the potential effects of those factors on perceived COVID-19 related travel risk are likely to be moderated by the trustworthiness of the information.

The implications of the study are important for researchers and policymakers to better understand and predict travellers’ behaviour in times of pandemics. These implications are also important to tourism marketers and transport and hospitality service providers to more effectively manage and mitigate the effect of such events.

The study provides an original comprehensive model grounded in the social cognitive theory and protection motivation theory to understand the predictors of perceived travel risks in relation to COVID-19 at a destination.

本文采用了混合的研究方法设计。在研究1的第一阶段中, 本文采用了横向比较研究设计, 对在毛里求斯国际机场进行调查收集的217名国际出境游客样本, 使用分层回归分析了数据。在第二阶段（研究2）中, 采用了立意取样的抽样方法, 采访了来自世界各地的旅游者, 并使用主题分析技术对数据进行了分析。

这项研究证实了与COVID-19相关的感知旅行风险对游客访问目的地的可能性的预期影响。然后, 它旨在确定COVID-19大流行后感知的旅行风险的关键影响因子。

结果表明, 在COVID-19危机之后愿意旅行的那些游客中, 相关的感知风险很可能会影响他们的旅行意图。感知的旅行风险的几个关键影响因素分为：COVID-19状况; 运输服务; 国家卫生措施; 医疗服务; 住宿服务; 生态旅游设施。而且, 这些因素对与COVID-19相关的感知旅行风险的潜在影响可能会受到信息的可信度的调节影响。

该研究对于研究人员和决策者更好地了解和预测大流行期间旅客的行为, 以及旅游营销人员以及运输和酒店服务供应商提供有效管理和减轻此类事件的影响具有重要意义。

该研究提供了一个原创且全面的模型, 以了解与目的地COVID-19相关的感知旅行风险的影响因素。

Se adopta un diseño de métodos mixtos. En la primera fase, denominada estudio 1, se adopta un diseño transversal basado en una muestra de 217 turistas internacionales encuestados salientes del Aeropuerto Internacional de Mauricio y los datos se analizan mediante regresión jerárquica. En la segunda fase, denominada estudio 2, se entrevista a una muestra intencional de turistas de todo el mundo y se analizan los datos mediante la técnica de análisis temático.

Este estudio confirma empíricamente el impacto esperado de la percepción del riesgo de viaje relacionado con COVID-19 sobre la probabilidad de que los turistas visiten un destino. A continuación, tiene por objeto identificar los principales factores de predicción del riesgo percibido de los viajes tras la pandemia de COVID-19.

Los resultados muestran que entre los turistas que están dispuestos a viajar tras la crisis de COVID-19, es probable que el riesgo percibido relacionado influya en su intención de viaje. Se han descubierto varios predictores clave de los riesgos percibidos de los viajes, que se clasifican como: Situación de COVID-19; servicios de transporte; medidas sanitarias nacionales; servicios de salud; servicios de alojamiento; instalaciones de ecoturismo. Además, es probable que los posibles efectos de esos factores en la percepción de los riesgos de viaje relacionados con COVID-19 se vean moderados por la fiabilidad de la información.

Las repercusiones del estudio son importantes para que los investigadores y los encargados de formular políticas comprendan y prevean mejor el comportamiento de los viajeros en épocas de pandemia y también para que el mercado turístico y los proveedores de servicios de transporte y hostelería gestionen y mitiguen más eficazmente el efecto de esos acontecimientos.

El estudio proporciona un modelo original y completo para comprender los predictores de los riesgos percibidos en los viajes en relación con COVID-19 en un destino.

This study aims at evaluating the effect of the COVID-19 pandemic on the export trade system for Mauritius during the first half of 2020 (January 2020–June 2020).

An initial analysis of the monthly export time series data proves that on the whole, the series have diverged from their actual trends after the outbreak of the COVID-19 pandemic: observed values are less than those predicted by the selected optimal forecast models. The authors subsequently employ the Bayesian structural time series (BSTS) framework for causal analysis to estimate the impact of the COVID-19 pandemic on the island's export system.

Overall, the findings show that the COVID-19 pandemic has a statistically significant and negative impact on the Mauritian export trade system, with the five main export trading partners and sectors the most affected. Despite that the impact in some cases is not apparent for the period of study, the results indicate that total exports will surely be affected by the pandemic in the long run. Nevertheless, this depends on the measures taken both locally and globally to mitigate the spread of the pandemic.

This study thus contributes to the growing literature on the economic impacts of the COVID-19 pandemic by focussing on a small island economy.

Mauritius’s residential real estate sector has undergone an increase in foreign investment over the past decades. This study aims to establish if the increasing level of foreign real estate investments (FREI) has increased land demand and land prices. The study also aims to depict whether the relation between FREI and land prices prevails at an aggregate and/ or a regional level.

Data from 26 regions, classified as urban, rural and coastal is collected on an annual basis over the period 2000 to 2019, and a dynamic panel regression framework, namely, an autoregressive distributed lag model, is used to take into account the dynamic nature of land price modeling.

The findings show that, at the aggregate level, in the long-term, FREI does not have a significant influence on land prices, while in the short term, a positive significant relationship is noted between the two variables. A regional breakdown of the data into urban, rural and coastal was done. In the long term, only in coastal regions, a positive significant link was observed, whereas in urban and rural regions FREI did not influence land prices. In the short term, the positive link subsists in the coastal regions, and in rural regions also land prices are positively affected by FREI.

Unlike other studies which have used quite general measures of FREI, the present research has focused on FREI mainly undertaken in the residential real estate market and how these have affected residential land prices. This study also contributes to research on the determinants of land prices which is relatively scarce compared to research on housing prices.