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AbstractFull Text

Introduction: One of the most important events in the tourism industry of each country is the demand for a product or destination and its true prediction of tourism. It should be noted that there are distances and deviations between actual values and predictions. The use of modern scientific and...

Author(s)
Farzin, M. R.; Afsar, A.; Dabir, A.; Zandi, E.
Publisher
Tehran University of Medical Sciences, Centre for Electronic Resources Provision and Journal Improvement, Tehran, Iran
Citation
Journal of Health Administration (JHA), 2019, 21, 74, pp Pe51-Pe63, En64
Abstract

Experts and scholars from home and abroad have made multi-angle exploration and research on the tourism market forecasting, attained a lot of research achievement and also laid a solid foundation for the completion of this article. In China, as an important channel of foreign exchange earnings in...

Author(s)
Wei Min
Publisher
Asian Network for Scientific Information, Faisalabad, Pakistan
Citation
Journal of Applied Sciences, 2013, 13, 17, pp 3387-3393
Abstract

This paper provides models of international tourism demand for four destination countries (the Bahamas, Barbados, Jamaica and St Lucia) in the Caribbean region, where visitor arrivals are mainly from Canada, Germany, the UK and the USA. The authors use a less restrictive econometric technique -...

Author(s)
Onafowora, O. A.; Owoye, O.
Publisher
IP Publishing Limited, London, UK
Citation
Tourism Economics, 2012, 18, 1, pp 159-180
Abstract

As an industry, tourism tends to be extremely responsive and vulnerable to political instabilities. Recently, a political conflict occurred in Spain, a leader in international tourism. In October 2017, the regional parliament of Catalonia asserted its independence from Spain, engendering a negative ...

Author(s)
Álvarez-Díaz, M.; González-Gómez, M.; Otero-Giráldez, M. S.
Publisher
Sage Publications Ltd, London, UK
Citation
Tourism Economics, 2019, 25, 1, pp 34-50
Abstract

The Amazon rainforest is one of the world's greatest natural wonders and holds great importance and significance for the world's environmental balance. Around 60% of the Amazon rainforest is located in the Brazilian territory. The two biggest states of the Amazon region are Amazonas (the upper...

Author(s)
Divino, J. A.; McAleer, M.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Environmental Modelling & Software, 2009, 24, 12, pp 1411-1419
Abstract

This study evaluates whether modelling the existing common trends in tourist arrivals from all visitor markets to a specific destination can improve tourism predictions. While most tourism forecasting research focuses on univariate methods, we compare the performance of three different Artificial...

Author(s)
Claveria, O.; Monte, E.; Torra, S.
Publisher
Elsevier B. V., Amsterdam, Netherlands
Citation
Tourism Management Perspectives, 2015, 16, pp 116-122
Abstract

This study looks into ways of estimating tourism demand models while accounting for asymmetric income effects on demand across business cycles and using the estimated equations to forecast until 2015. Expenditure for outbound travel (tourism imports) in five source markets are analysed using...

Author(s)
Smeral, E.
Publisher
IP Publishing Limited, London, UK
Citation
Tourism Economics, 2014, 20, 1, pp 61-72
Abstract

This paper is intended for clarifying and forecasting the dynamic structural components inside the relationship between tourism income and economic cycling parameters. Quarterly time-series variables such as Thailand tourism revenues and gross domestic products are collected during the period of...

Author(s)
Wannapan, S.; Chaiboonsri, C.; Sriboonchitta, S.
Publisher
WIT Press, Southampton, UK
Citation
WIT Transactions on Ecology and the Environment, 2018, 227, pp 257-268
Abstract

This study employed a cross-country panel data model to investigate the relative contributions of sociopolitical, natural and cultural characteristics and national tourism policies to international tourism growth. International tourism receipt data were adjusted for country-specific inflation and...

Author(s)
Omkar Joshi; Poudyal, N. C.; Larson, L. R.
Publisher
Springer, Dordrecht, Netherlands
Citation
Environment, Development and Sustainability, 2017, 19, 3, pp 825-838
Abstract

This chapter shows how the generalized autoregressive conditional heteroscedasticity (GARCH) model can be used to measure the conditional volatility in monthly international tourist arrivals to three small island tourism economies (SITEs), namely, Barbados, Cyprus and Fiji. The sample periods for...

Author(s)
Chan, F.; Hoti, S.; McAleer, M.; Shareef, R.
Publisher
Edward Elgar Publishing, Cheltenham, UK
Citation
The economics of tourism and sustainable development, 2005, pp 30-55

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