Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic [PDF]
Entropy, 2023 This study proposes a decomposed broad learning model to improve the forecasting accuracy for tourism arrivals on Hainan Island in China. With decomposed broad learning, we predicted monthly tourist arrivals from 12 countries to Hainan Island.
Jingyao Chen +4 more
doaj +2 more sources
Examining the macro-determinants of tourist arrivals in India. [PDF]
SN Bus Econ, 2022 The present study analyzes the asymmetric association of exchange rate and world income with inbound tourism demand in India using a recently developed nonlinear autoregressive distributed lag model. For this purpose, the study uses monthly data from January 2003 to December 2020 for inbound tourism demand, real effective exchange rate, and world ...
Sharma M, Mohapatra G, Giri AK.
europepmc +3 more sources
Classical Forecasting of International Tourist Arrivals to Thailand. [PDF]
J Stat Theory Appl, 2022 AbstractThe objectives of this work are to find the suitable forecasting model and forecasting period of the number of foreign tourists traveling to Thailand. The monthly data is gathered during January 2008 to December 2019 and is divided into two sets.
Intarapak S +2 more
europepmc +3 more sources
The relationship between drought and tourist arrivals: A case study of Kruger National Park, South Africa [PDF]
Jàmbá, 2017 National parks around the world have been recognised as important sources of nature experiences for both local and international visitors. In South Africa, national parks are similarly important recreational and nature tourism attractions.
Fhumulani I. Mathivha +2 more
doaj +2 more sources
Forecasting tourist arrivals in South Africa
Acta Commercii, 2010 Purpose: The aim of this paper is to model and forecast tourism to South Africa from the country's main intercontinental tourism markets. These include Great Britain, Germany, the Netherlands, the United States of America and France.
Andrea Saayman, Melville Saayman
doaj +4 more sources
RESEARCH ON THE CONCENTRATION OF TOURIST ARRIVALS IN ROMANIA [PDF]
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, 2016 The paper aimed to analyze the concentration of tourist arrivals in Romania based on National Institute of Statistics Data for the period 2008-2013. In Romania the tourists arrivals increased reflecting a higher demand for touristic attractions of the ...
Agatha POPESCU
doaj +1 more source
IMPACT OF ECONOMIC, FINANCIAL AND POLITICAL RISKS ON TOURISM PERFORMANCE: A CASE OF SOUTH AFRICA [PDF]
Geo Journal of Tourism and Geosites, 2021 The contribution of tourism to a country’s economy is determined by country risk measures such as economic, financial and political risk. This study aimed to investigate short and long-run effects of country risk factors on international tourist ...
Paul-Francois MUZINDUTSI +2 more
doaj +1 more source
Modelling Tourist Arrivals in South Africa To Assess The Impact of the COVID-19 Pandemic on the Tourism Sector [PDF]
African Journal of Hospitality, Tourism and Leisure, 2022 The paper examines tourism flows from all foreign countries to South Africa (SA) from 2009 to February 2020 using time series models. The resultant model is used to forecast and assess the impact of COVID-19 on tourist arrivals in South Africa by ...
Musara Chipumuro, Delson Chikobvu
doaj +1 more source
Combined Hierarchical Tourist Arrival Forecasts for Great Zimbabwe National Monuments [PDF]
African Journal of Hospitality, Tourism and Leisure, 2022 Precise tourism estimates for tourism destination sites are crucial for decision-making. The objective of the study is to model and project Great Zimbabwe National Monuments (GZNM) tourist arrivals by combining hierarchical tourism forecasts.
Tendai Makoni +2 more
doaj +1 more source
Sustainable Determinants That Affect Tourist Arrival Forecasting [PDF]
Sustainability, 2021 This study considers diversification effects and significant influences on tourist arrivals as a vital export direction. Different quantitative methods, namely a cointegrated-autoregressive model, panels, sentiment and sensitivity analysis, were used in this study.
Sergej Gricar +2 more
openaire +3 more sources