Tourism Demand, Low Cost Carriers and European Institutions: The Case of Brussels

Santos, Anabela; Cincera, Michele

doi:10.2139/ssrn.3683285

Cited by 2 publications

(4 citation statements)

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“…Socio-cultural variables affecting tourism demand were examined in the literature. The grouping of variables in the models is based on empirical studies in the literature (Cho, 2010; Deery et al , 2012; Eilat and Einav, 2004; Goh, 2012; Goh et al , 2008; Görmüş and Göçer, 2010; Huarng et al , 2012; Marrocu and Paci, 2013; Naudé and Saayman, 2005; Santos and Cincera, 2018; Zamparini et al , 2017). The inclusion of more than one socio-cultural variable in the models is deemed an inclusive approach for the sample countries.…”

Section: Methodsmentioning

confidence: 99%

“…Variables such as price level, tastes, preferences, level of income, income distribution, prices of substitutes and complementary goods, habits, number of buyers and income level affect tourism demand (Okafor et al , 2018; Takahashi, 2020; Tang, 2018). However, tourism demand is also affected by non-economic factors such as demographic, political, social and psychological factors, as well as terrorism and natural disasters (Boyacıoğlu, 2014; Deery et al , 2012; Goh, 2012; Huarng et al , 2012; Santos and Cincera, 2018).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Most of the research in this area has focused on using economic indicators to estimate total tourist demand (Garín-Muñoz and Amaral, 2000; Lee and Chang, 2008; Long et al , 2019; Özcan, 2015; Sequeira and Nunes, 2008; Takahashi, 2020; Tang, 2018; Ulucak et al , 2020; Westerlund, 2007; Yap and Allen, 2011). However, economic factors alone are insufficient to determine the tourism demand (Cho, 2010; Deery et al , 2012; Eilat and Einav, 2004; Goh, 2012; Goh et al , 2008; Görmüş and Göçer, 2010; Huarng et al , 2012; Marrocu and Paci, 2013; Naudé and Saayman, 2005; Santos and Cincera, 2018; Zamparini et al , 2017). In addition to economic factors, there are many important variables such as socio-cultural, psychological, demographic and political factors as well as terrorism that affect tourism demand (Cho, 2010).…”

Section: Introductionmentioning

confidence: 99%

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The socio-cultural determinants of tourism: the case of Turkey

Bayrakci

Özcan

2021

JHTI

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PurposeThe study aims to determine the socio-cultural variables that affect Turkey's tourism demand. The study proposes how important socio-cultural determinants as well as economic determinants affect tourism demand.Design/methodology/approachThe study examined a sample of 19 countries sending the most visitors to Turkey between 1996 and 2017 by using panel unit root, panel cointegration tests and cointegration estimator methods. The data set consists of variables such as GDP per capita (lnGDPP), total population number (lnPOP), urbanization level, information and communication technology (lnICT), human development index (lnHDI), education level and death rates (lnDTH).FindingsThe findings from the analysis provide evidence that the variables in the models show the expected effects on tourism demand. The findings show that apart from economic variables, socio-cultural variables also have an important effect on tourism demand.Research limitations/implicationsThe socio-cultural models used in the study were created using variables that can be quantified. The study results are valid for the countries included in the analysis.Practical implicationsThe findings of this study will contribute to policymakers in determining the market for Turkish tourism. The results show that the policies to be prepared by considering the socio-cultural characteristics of countries can increase the tourism demand.Originality/valueThe study is significant in that it focuses on socio-cultural variables rather than economic variables commonly used in the literature. The study is original in terms of both the study sample and the model and considers cross-sectional dependency (CD) and homogeneity.

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Section: Methodsmentioning

confidence: 99%

Section: Theoretical Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The socio-cultural determinants of tourism: the case of Turkey

Bayrakci

Özcan

2021

JHTI

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“…The demand for sustainable tourism is likely to increase in the future, which may lead to the development of features such as community travel services, which may also be useful to other traveller segments (Schiefelbusch et al, 2007). Santos and Cincera (2018) conducted a case study in Brussels in 2018 focusing on tourism needs, which showed that tourism needs were best characterised by the number of nights spent. Night tourism accounts for 4.4% of global CO 2 emissions (Peeters and Dubois, 2010).…”

Section: Introductionmentioning

confidence: 99%

Reconceptualising Regional Inequalities

Esses

Csete

2022

Period. Polytech. Soc. Man. Sci.

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Tourism can play a pivotal role in relation to spatial development perspectives, regional processes, and the efficient use of different kinds of resources. It is no different in Central Eastern Europe; tourism frequently plays such a role in Hungary, especially in the case of areas with disadvantaged spatial conditions. In this paper, the effect of tourism on the region as a primary source of income is investigated. The research hypothesis is that Philippe Martin's regional economic model could be modified to describe the spatial effects of tourism. According to the research hypothesis, the methodology of the original and a modified Philippe Martin model is shown in the second part of this paper, and this is followed by the modelling results. In the case of the Hungarian research area, a detailed analysis of statistics is shown. The spatial focus of this paper is on Lake Tisza in Hungary, which has a unique character. On the other hand, it is rich in both natural capital and disadvantaged areas when socio-economic conditions are considered. The research results showed that the predefined scenarios of the Philippe Martin model individually do not correctly describe the effect of tourism, but taken together could explain the economic impacts of tourism. Tourism has the same effect as a combination of monetary transfer from the wealthy regions to the impoverished area, a diminution of transaction costs within the impoverished region, and a slight increase in the cost of innovation or a small decrease in diffusion of innovation.

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Tourism Demand, Low Cost Carriers and European Institutions: The Case of Brussels

Cited by 2 publications

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The socio-cultural determinants of tourism: the case of Turkey

The socio-cultural determinants of tourism: the case of Turkey

Reconceptualising Regional Inequalities

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