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Abstract

This paper proposes new models for analyzing the volatility and dependence of monthly tourist arrivals to China applying a copula-GARCH approach. A desegregation of the top six origins of China inbound tourists from the period January 1994 to December 2013 is used in this study. The empirical...

Author(s)
Tang JieChen; Ramos, V.; Cang Shuang; Sriboonchitta, S.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2017, 34, 9, pp 1235-1246
AbstractFull Text

Tourism is an important engine for economic growth and countries' development. Tourism activities have a great impact on Mexico and Uruguay, and in this paper, the authors measure tourism demand. They study the relationship between the number of USA tourists for Mexico and Argentinean tourists for...

Author(s)
Mordecki, G.; Leiva, A.; Desplas, N.
Publisher
Eastern Mediterranean University and Washington State University, Famagusta, Cyprus
Citation
Conference proceedings, 7th Advances in Hospitality & Tourism Marketing & Management (AHTMM) Conference, Famagusta, Cyprus, 10-15 July 2017, 2017, pp 73-86
Abstract

The objective of this research was to estimate with linear, log-linear, and Box-Cox specifications of Nicaragua tourism exports to the developing countries of Costa Rica, El Salvador, Guatemala, Honduras, and the developed country of the US. Using Zellner's seemingly unrelated regression procedure, ...

Author(s)
Vanegas, M., Sr.
Publisher
Cognizant Communication Corporation, Elmsford, USA
Citation
Tourism Analysis, 2010, 15, 4, pp 447-459
Abstract

The objective of this study is to quantify the effects of marketing expenditure by the Australian Tourist Commission (ATC). Cointegration analysis and a dynamic modelling approach are used to estimate the elasticity estimates of income, price, price of substitute, cost of travel and marketing...

Author(s)
Kulendran, N.; Divisekera, S.
Publisher
IP Publishing Limited, London, UK
Citation
Tourism Economics, 2007, 13, 2, pp 261-274
Abstract

Although cultural tourism is the most prevalent type of tourism in the world it still remains invisible in South Africa's tourism landscape. Despite the country's unique cultural heritage resource base and the fact that cultural diversity is the core feature of South African marketing strategy,...

Author(s)
Ivanovic, M.; Saayman, M.
Publisher
AFAHPER-SD, Thohoandou, South Africa
Citation
African Journal for Physical, Health Education, Recreation and Dance, 2013, 19, Suppl. 2, pp 138-154
Abstract

This paper estimates the coefficients of the determinants of international tourism demand for the period 1995-2014 in the USA using the gravity framework. The analysis is based on a panel dataset of tourist arrivals among 14 countries using autoregressive distributed lag methods. The results show ...

Author(s)
Yazdi, S. K.; Khanalizadeh, B.
Publisher
Routledge, Abingdon, UK
Citation
Current Issues in Tourism, 2017, 20, 8, pp 787-800
Abstract

Climate change impacts can negatively affect tourism demand and, subsequently, local economies by disrupting access and altering physical conditions, including those from adaptation and recovery efforts. Research is needed that helps destinations become more climate ready, including studies of...

Author(s)
Seekamp, E.; Jurjonas, M.; Bitsura-Meszaros, K.
Publisher
Routledge, Abingdon, UK
Citation
Journal of Sustainable Tourism, 2019, 27, 5, pp 629-648
Abstract

One of the fastest growing segments of the world's tourism industry is coastal tourism. As interest in coastal tourism intensifies, the increasing demand on coastal resources will require local governments and private businesses to obtain information on future tourism demand. However, management...

Author(s)
Dixon, A. W.; Oh, C. O.; Draper, J.
Publisher
Cognizant Communication Corporation, Elmsford, USA
Citation
Tourism Analysis, 2008, 13, 5/6, pp 579-590
Abstract

This study examines the potential advantages of using Singular Spectrum Analysis (SSA) for forecasting tourism demand. To do this it examines the performance of SSA forecasts using monthly data for tourist arrivals into the Unites States over the period 1996 to 2012. The SSA forecasts are compared...

Author(s)
Hassani, H.; Webster, A.; Silva, E. S.; Heravi, S.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Tourism Management, 2015, 46, pp 322-335
Abstract

Security concerns especially from terrorism events and travel warnings against the country presents a challenge to the tourism industry in Kenya. This study applies the Arellano-Bond difference GMM model to analyze the effects of terrorism and travel warning on demand for tourism in Kenya....

Author(s)
Masinde, B.; Buigut, S.
Publisher
Cognizant Communication Corporation, Putnam Valley, USA
Citation
Tourism Analysis, 2018, 23, 2, pp 283-288

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