Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry

Bibliographic Details
Main Author: Dimitrov,Preslav
Publication Date: 2011
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100014
Summary: In the past twelve years Bulgaria has managed to capitalize on the good results achieved in certain subsectors of its tourism industry, such as the spa and wellness industry. The fluctuations in the international tourism markets due to the world economic crisis, however, still provoke hesitations for the investors in the Bulgarian tourism industry. This uncertainty and the fear of possible negative outcomes in Bulgaria’s spa and wellness tourism could be diminished if there are comparatively true long-term forecasts for what is to happen in the coming 10 or 12 years. The present paper regards the application of some forecasting methods in the spa and wellness sub-sector of the Bulgarian tourism industry such as linear trend forecasting and double exponential forecasting (Holt’s method). A specially designed model for estimation of the weight coefficient needed for determining the size of the sector of the spa and wellness tourism in the time series of the available data and in the forecast values is presented. A time series and past period predictions have been constructed based on statistical records since 1964 in order to test the forecasting methods presented in the paper and to produce forecasts up to the year 2022.
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spelling Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism IndustryForecastingExponential SmoothingSpa and Wellness IndustryIn the past twelve years Bulgaria has managed to capitalize on the good results achieved in certain subsectors of its tourism industry, such as the spa and wellness industry. The fluctuations in the international tourism markets due to the world economic crisis, however, still provoke hesitations for the investors in the Bulgarian tourism industry. This uncertainty and the fear of possible negative outcomes in Bulgaria’s spa and wellness tourism could be diminished if there are comparatively true long-term forecasts for what is to happen in the coming 10 or 12 years. The present paper regards the application of some forecasting methods in the spa and wellness sub-sector of the Bulgarian tourism industry such as linear trend forecasting and double exponential forecasting (Holt’s method). A specially designed model for estimation of the weight coefficient needed for determining the size of the sector of the spa and wellness tourism in the time series of the available data and in the forecast values is presented. A time series and past period predictions have been constructed based on statistical records since 1964 in order to test the forecasting methods presented in the paper and to produce forecasts up to the year 2022.Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve2011-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100014Tourism & Management Studies n.7 2011reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100014Dimitrov,Preslavinfo:eu-repo/semantics/openAccess2024-02-06T17:28:51Zoai:scielo:S2182-84582011000100014Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:16:09.941963Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry
title Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry
spellingShingle Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry
Dimitrov,Preslav
Forecasting
Exponential Smoothing
Spa and Wellness Industry
title_short Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry
title_full Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry
title_fullStr Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry
title_full_unstemmed Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry
title_sort Long-Term Forecasting of the Spa And Wellness Subsector of the Bulgarian Tourism Industry
author Dimitrov,Preslav
author_facet Dimitrov,Preslav
author_role author
dc.contributor.author.fl_str_mv Dimitrov,Preslav
dc.subject.por.fl_str_mv Forecasting
Exponential Smoothing
Spa and Wellness Industry
topic Forecasting
Exponential Smoothing
Spa and Wellness Industry
description In the past twelve years Bulgaria has managed to capitalize on the good results achieved in certain subsectors of its tourism industry, such as the spa and wellness industry. The fluctuations in the international tourism markets due to the world economic crisis, however, still provoke hesitations for the investors in the Bulgarian tourism industry. This uncertainty and the fear of possible negative outcomes in Bulgaria’s spa and wellness tourism could be diminished if there are comparatively true long-term forecasts for what is to happen in the coming 10 or 12 years. The present paper regards the application of some forecasting methods in the spa and wellness sub-sector of the Bulgarian tourism industry such as linear trend forecasting and double exponential forecasting (Holt’s method). A specially designed model for estimation of the weight coefficient needed for determining the size of the sector of the spa and wellness tourism in the time series of the available data and in the forecast values is presented. A time series and past period predictions have been constructed based on statistical records since 1964 in order to test the forecasting methods presented in the paper and to produce forecasts up to the year 2022.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-01
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100014
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dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve
publisher.none.fl_str_mv Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve
dc.source.none.fl_str_mv Tourism & Management Studies n.7 2011
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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