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on Tourism Economics |
| By: | Nyasha, Sheilla; Odhiambo, Nicholas |
| Abstract: | In this study, the key determinants of tourism development in three study countries ? South Africa, Brazil and Vietnam ? have been examined for the period from 1995 to 2018. Despite the growing empirical literature on the determinants of tourism development from a number of countries, these countries have remained understudied. The study uses two proxies, namely: tourism revenue (TR) and the number of international tourist arrivals (TA), to measure the level of tourism development. Using the ARDL bounds-testing approach, the findings of the study have shown that the determinants of tourism development differ from country to country and over time. In addition, the study shows that the determinants depend on the proxy used to measure the level of tourism development. Overall, the study found that the positive drivers of tourism in these countries are tourist disposable income, financial development, trade openness and political stability, while the negative drivers include exchange rate, price level and carbon emissions. |
| Keywords: | Tourism Development, Determinants, South Africa, Brazil, Vietnam, ARDL |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:uza:wpaper:29296&r= |
| By: | Sheilla Nyasha; Nicholas M. Odhiambo |
| Abstract: | In this study, the key determinants of tourism development in three study countries – South Africa, Brazil and Vietnam – have been examined for the period from 1995 to 2018. Despite the growing empirical literature on the determinants of tourism development from a number of countries, these countries have remained understudied. The study uses two proxies, namely: tourism revenue (TR) and the number of international tourist arrivals (TA), to measure the level of tourism development. Using the ARDL bounds-testing approach, the findings of the study have shown that the determinants of tourism development differ from country to country and over time. In addition, the study shows that the determinants depend on the proxy used to measure the level of tourism development. Overall, the study found that the positive drivers of tourism in these countries are tourist disposable income, financial development, trade openness and political stability, while the negative drivers include exchange rate, price level and carbon emissions. |
| URL: | http://d.repec.org/n?u=RePEc:afa:wpaper:aesriwp19&r= |
| By: | Benchaib Mohamed (UMBB - Université M'Hamed Bougara Boumerdes) |
| Abstract: | Domestic (internal) tourism is currently considered as an important strategic option, as it is one of the most important sectors contributing to achieving economic and social development goals, as Algeria has natural, cultural, and heritage tourism potentials that make it a tourist destination and a tourist attraction by excellence, and we have relied in our research on the descriptive approach in an attempt to know the strategy followed by the government in order to advance this sector in light of the significant decline left by the Corona Covid-19 pandemic, the results showed that appropriate strategies must be followed that target the internal tourism markets in order to attract more tourists by providing various services and entertainment at the same time, at competitive prices with diversification of promotional activities and marketing through social networking sites, in addition to attention to monitoring, evaluation and follow-up of tourist destinations and attention to their cleanliness. |
| Keywords: | tourism,domestictourism,Algeria,development,element of tourist attractions. JEL Classification Codes :M310,N01,O1,Q01 |
| Date: | 2022–06–04 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03723545&r= |
| By: | Younes TANANI (ENCG - École Nationale de Commerce et de Gestion d'Agadir - Université Ibn Zohr [Agadir]); Sair Aziz (ENCG - École Nationale de Commerce et de Gestion d'Agadir - Université Ibn Zohr [Agadir]) |
| Abstract: | The brand image of a destination can be considered as the fundamental pillar of the tourism image building and can also be taken as its raison d'être. This helps the latter to have a certain resilience against risks and unforeseen events that may affect their activities or jeopardize their future. The purpose of this research work is to analyze the adequacy between the brand image of a destination and its degree of importance for the implementation or even the development of a resilience strategy. It is based on the theoretical analyze via the analysis of the impact of a destination's brand image on the projection of a strategy that will allow destinations to resiliently deal with risks. The main result of the research shows that the brand image of a destination will be one of the essential perimeters in the structure of each organization. This requires destinations to change their marketing strategies towards the principle of loyalty before starting an evasion strategy. |
| Abstract: | L'image de marque d'une destination peut être considérée comme le pilier fondamental du construit de l'image touristique et peut être prise aussi comme sa raison d'être. Ceci aide cette dernière à avoir une certaine résilience contre les risques et les imprévus qui peuvent affecter leurs activités ou mettre en péril leurs avenirs. Ce travail de recherche a pour objet l'analyse de l'adéquation entre l'image de marque d'une destination et son degré d'importance pour la mise en place ou même pour le développement d'une stratégie de résilience. Il est basé sur analyse théorique via l'analyse de l'impact de l'image de marque d'une destination sur la projection d'une stratégie qui permettra aux destinations de résilier contre les risques. Le principal résultat de la recherche démontre que l'image de marque d'une destination constituera l'un des périmètres incontournables dans la structure de chaque organisation. Ce qui exige les destinations à changer leurs stratégies marketing vers le principe de la fidélisation avant d'entamer une stratégie d'évasion. |
| Keywords: | Tourism destination branding,fit analysis,resilience strategy.,Image de marque d’une destination touristique,analyse de l’adéquation,stratégie de résilience. |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03751558&r= |
| By: | Fanwei Zhu; Wendong Xiao; Yao Yu; Ziyi Wang; Zulong Chen; Quan Lu; Zemin Liu; Minghui Wu; Shenghua Ni |
| Abstract: | Demand estimation plays an important role in dynamic pricing where the optimal price can be obtained via maximizing the revenue based on the demand curve. In online hotel booking platform, the demand or occupancy of rooms varies across room-types and changes over time, and thus it is challenging to get an accurate occupancy estimate. In this paper, we propose a novel hotel demand function that explicitly models the price elasticity of demand for occupancy prediction, and design a price elasticity prediction model to learn the dynamic price elasticity coefficient from a variety of affecting factors. Our model is composed of carefully designed elasticity learning modules to alleviate the endogeneity problem, and trained in a multi-task framework to tackle the data sparseness. We conduct comprehensive experiments on real-world datasets and validate the superiority of our method over the state-of-the-art baselines for both occupancy prediction and dynamic pricing. |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2208.03135&r= |