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Forecasting the future of tourism in South Africa: an analytical approach - predictive analysis of tourist arrivals

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Detalhes bibliográficos
Resumo:This research presents an analysis and forecast of tourist arrivals to South Africa and their economic implications. It explores the reciprocal role of tourism as a driver of economic development and an outcome of the country’s progress. Miguel’s individual part focuses on building time series forecasting models (SARIMA and SARIMAX) to accurately predict monthly tourist arrivals to South Africa. Hugo’s part then moves to quantify the potential economic impacts of these predictions, analyzing them against current governmental practices.
Autores principais:Gomes, Miguel José Fernandes
Assunto:Tourism Forecasting Arima South Africa
Ano:2024
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:This research presents an analysis and forecast of tourist arrivals to South Africa and their economic implications. It explores the reciprocal role of tourism as a driver of economic development and an outcome of the country’s progress. Miguel’s individual part focuses on building time series forecasting models (SARIMA and SARIMAX) to accurately predict monthly tourist arrivals to South Africa. Hugo’s part then moves to quantify the potential economic impacts of these predictions, analyzing them against current governmental practices.