Abstract
The paper deals with India’s Medical tourism analysis and forecasting, applying two time series forecasting models, for monthly data spreading over 2014 to 2017. Medical tourism worldwide and particularly in India is on rise. Figures 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 using the ARIMA method for trend projection. The paper discusses these trends and the application of the model. The projections show a great potential for the country to earn valuable foreign exchange through medical tourism. India has a huge cost and expertise advantage which if leveraged through proper publicity can make it one of the leading medical tourist destinations in the days to come. It is suggested that the authorities should take efforts in this direction with aggressive publicity policies.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ministry of Tourism of India: Tourism Statistics Report. [Online]: https://tourism.gov.in last accessed 2019/04/04. (2018).
Béland, D., Zarzeczny, A.: Medical tourism and national health care systems: an institutionalist research agenda. Globalization and health, 14 (1), 68 (2018).
Kim, D., Sheppard, C., de Gara, C., Karmali, S., Birch, D.: Financial costs and patients’ perceptions of medical tourism in bariatric surgery. NCBI. Can J Surg, 59 (1), 59-61 (2016).
Cohen, R. A., Martinez, M. E., Zammitti, E. P.: Health insurance coverage: early release of estimates from the National Health Interview Survey. Washington, DC: Centers for Disease Control and Prevention (National Center for Health Statistics) (2015).
Béland D., Rocco P., Waddan A.: Obamacare wars: federalism, state politics, and the Affordable Care Act. Lawrence, KS: University Press of Kansas (2016).
Mangan, D.: Big drop in Texans without health insurance, but poor lag. CNBC. Health and science (2016).
Snyder, J., Johnston, R., Crooks, V.A., Morgan, J., Adams, K.: How medical tourism enables preferential access to care: four patterns from the Canadian context. Health Care Analysis, 25 (2), 138-50 (2017).
Chun, C.: Literature Review of Related Research on Medical Tourism. 3rd International Conference on Social Science, Management and Economics (SSME) (2017).
Thayarnsin, S. L., Douglas, A.C.: A Systematic Review of Challenges in Medical Tourism Destination Management. Travel and Tourism Research Association (2016).
Braverman, B.: 1.4 million Americans will go abroad for medical care this year. Should you? The Fiscal Times [On-line]: http://www.thefiscaltimes.com/2016/08/17, last accessed 2019/04/04. (2016).
Stephano, R.M.: Top 10 medical tourism destinations in the world. Medical Tourism Magazine (n/d).
Boyd, J. B., McGrath, M. H., Maa, J.: Emerging trends in the outsourcing of medical and surgical care. NCBI: Arch Surg, 146 (1), 107-112 (2011).
Box, G., Jenkins, G.: Time Series Analysis Forecasting and Control. Holden-Day, San Francisco (1970).
Zou, H., Yang, Y.: Combining time series models for forecasting. International Journal of Forecasting, 20, 69-84 (2004).
Fernandes, P.O., Teixeira, J.P., Ferreira, J.M., Azevedo, S.G.: Modelling Tourism Demand: A Comparative Study between Artificial Neural Networks and the Box Jenkins Methodology. Romanian Journal of Economic Forecasting, 5(3), 30-50 (2008).
Cuhadar, M.: Modelling and Forecasting Inbound Tourism Demand to Istanbul-A Comparative Analysis. European Journal of Business and Social Sciences, 2 (12), 101-119 (2014).
Medical tourism index: Official website consulted for data collection. https://www.medicaltourismindex.com/destination/india, last accessed 2019/04/04.
Acknowledgment
This work is funded by National Funds through the Foundation for Science and Technology under the project UID/GES/04752/2019.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ahire, M., Fernandes, P.O., Teixeiral, J.P. (2020). Forecasting and Estimation of Medical Tourism Demand in India. In: Rocha, Á., Abreu, A., de Carvalho, J., Liberato, D., González, E., Liberato, P. (eds) Advances in Tourism, Technology and Smart Systems. Smart Innovation, Systems and Technologies, vol 171. Springer, Singapore. https://doi.org/10.1007/978-981-15-2024-2_19
Download citation
DOI: https://doi.org/10.1007/978-981-15-2024-2_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-2023-5
Online ISBN: 978-981-15-2024-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)