Forecasting and estimation of medical tourism demand in India

Detalhes bibliográficos
Autor(a) principal: Ahire, Manoj Popatrao
Data de Publicação: 2020
Outros Autores: Fernandes, Paula Odete, Teixeira, João Paulo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/21788
Resumo: The paper deals with India’s Medical tourism analysis and forecasting, apply-ing two time series forecasting models, for monthly data spreading over 2014 to 2017. Medical tourism worldwide and particularly in India is on rise. Fig-ures of medical tourist arrivals in India for 2014, 2015 and 2016 denotes a significant growth. Several measures have been taken by the Government to attract medical tourists to the country. This study was undertaken to analyse the growth trends in medical tourism in India over a period of last four years and to forecast the medical tourist arrivals over the next couple of years us-ing the ARIMA method for trend projection. The paper discusses these trends and the application of the model. The projections show a great poten-tial for the country to earn valuable foreign exchange through medical tour-ism. India has a huge cost and expertise advantage which if leveraged through proper publicity can make it one of the leading medical tourist des-tinations in the days to come. It is suggested that the authorities should take efforts in this direction with aggressive publicity policies.
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spelling Forecasting and estimation of medical tourism demand in IndiaIndiaMedical tourismInbound medical tourismForecastARIMA modelThe paper deals with India’s Medical tourism analysis and forecasting, apply-ing two time series forecasting models, for monthly data spreading over 2014 to 2017. Medical tourism worldwide and particularly in India is on rise. Fig-ures of medical tourist arrivals in India for 2014, 2015 and 2016 denotes a significant growth. Several measures have been taken by the Government to attract medical tourists to the country. This study was undertaken to analyse the growth trends in medical tourism in India over a period of last four years and to forecast the medical tourist arrivals over the next couple of years us-ing the ARIMA method for trend projection. The paper discusses these trends and the application of the model. The projections show a great poten-tial for the country to earn valuable foreign exchange through medical tour-ism. India has a huge cost and expertise advantage which if leveraged through proper publicity can make it one of the leading medical tourist des-tinations in the days to come. It is suggested that the authorities should take efforts in this direction with aggressive publicity policies.SpringerBiblioteca Digital do IPBAhire, Manoj PopatraoFernandes, Paula OdeteTeixeira, João Paulo2020-04-22T11:12:24Z20202020-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/21788engAhire, Manoj; Fernandes, Paula O.; Teixeira, João Paulo (2020). Forecasting and estimation of medical tourism demand in India. In Rocha A. [et al.] (Eds.) Advances in Tourism, Technology and Smart Systems. Smart Innovation, Systems and Technologies: Proceedings of ICOTTS 2019. Singapore. 171, p. 211-222. ISBN 978-981-15-2024-210.1007/978-981-15-2024-2_19info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:12:14Zoai:bibliotecadigital.ipb.pt:10198/21788Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:39:19.925705Repositórios 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 Forecasting and estimation of medical tourism demand in India
title Forecasting and estimation of medical tourism demand in India
spellingShingle Forecasting and estimation of medical tourism demand in India
Ahire, Manoj Popatrao
India
Medical tourism
Inbound medical tourism
Forecast
ARIMA model
title_short Forecasting and estimation of medical tourism demand in India
title_full Forecasting and estimation of medical tourism demand in India
title_fullStr Forecasting and estimation of medical tourism demand in India
title_full_unstemmed Forecasting and estimation of medical tourism demand in India
title_sort Forecasting and estimation of medical tourism demand in India
author Ahire, Manoj Popatrao
author_facet Ahire, Manoj Popatrao
Fernandes, Paula Odete
Teixeira, João Paulo
author_role author
author2 Fernandes, Paula Odete
Teixeira, João Paulo
author2_role author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Ahire, Manoj Popatrao
Fernandes, Paula Odete
Teixeira, João Paulo
dc.subject.por.fl_str_mv India
Medical tourism
Inbound medical tourism
Forecast
ARIMA model
topic India
Medical tourism
Inbound medical tourism
Forecast
ARIMA model
description The paper deals with India’s Medical tourism analysis and forecasting, apply-ing two time series forecasting models, for monthly data spreading over 2014 to 2017. Medical tourism worldwide and particularly in India is on rise. Fig-ures of medical tourist arrivals in India for 2014, 2015 and 2016 denotes a significant growth. Several measures have been taken by the Government to attract medical tourists to the country. This study was undertaken to analyse the growth trends in medical tourism in India over a period of last four years and to forecast the medical tourist arrivals over the next couple of years us-ing the ARIMA method for trend projection. The paper discusses these trends and the application of the model. The projections show a great poten-tial for the country to earn valuable foreign exchange through medical tour-ism. India has a huge cost and expertise advantage which if leveraged through proper publicity can make it one of the leading medical tourist des-tinations in the days to come. It is suggested that the authorities should take efforts in this direction with aggressive publicity policies.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-22T11:12:24Z
2020
2020-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/21788
url http://hdl.handle.net/10198/21788
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ahire, Manoj; Fernandes, Paula O.; Teixeira, João Paulo (2020). Forecasting and estimation of medical tourism demand in India. In Rocha A. [et al.] (Eds.) Advances in Tourism, Technology and Smart Systems. Smart Innovation, Systems and Technologies: Proceedings of ICOTTS 2019. Singapore. 171, p. 211-222. ISBN 978-981-15-2024-2
10.1007/978-981-15-2024-2_19
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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