IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i24p5095-d297691.html
   My bibliography  Save this article

Investigation of the Co-Movement Relationship between Medical Expenditure and GDP in Taiwan-Based on Wavelet Analysis

Author

Listed:
  • Hsin-Pei Hsueh

    (School of Finance, Hubei University of Economics, Wuhan 430205, China)

  • Chien-Ming Wang

    (School of Economics and Trade, Hubei University of Economics, Wuhan 430205, China)

  • Cheng-Feng Wu

    (Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan 430205, China
    School of Business Administration, Hubei University of Economics, Wuhan 430205, China)

  • Fangjhy Li

    (School of Finance, Hubei University of Economics, Wuhan 430205, China)

Abstract

In this study, using the medical expenditures of the Taiwanese government and gross domestic product (GDP) as variables, the wavelet analysis method was used to empirically study the correlations and lead-lag relationships in quarterly data in the period from 1996 to 2016. In addition, the dependent population of the insured was used as the control variable. Results: After the dependent population was included as a control variable, there was a period of low- frequency (one to four years, short-term) linkage correlation, as well as a period of high- frequency (four to eight years, long-term) linkage correlation. In addition, for more than eight years, there was a high degree of linkage correlation, indicating that the linkage between medical expenditures and GDP occurred over the long- term. Moreover, since medical expenditures positively affected GDP, one-way causality was observed. However, after 2008, regardless of whether long or short- term was examined, there was almost no linkage correlation. Before 2008, the medical expenditures of the government were positively correlated with economic growth. After 2008, this effect had already disappeared. The universal health insurance system has long been denounced as a waste of medical resources. The government needs to find a new solution.

Suggested Citation

  • Hsin-Pei Hsueh & Chien-Ming Wang & Cheng-Feng Wu & Fangjhy Li, 2019. "Investigation of the Co-Movement Relationship between Medical Expenditure and GDP in Taiwan-Based on Wavelet Analysis," IJERPH, MDPI, vol. 16(24), pages 1-9, December.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5095-:d:297691
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/24/5095/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/24/5095/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hitiris, Theo & Posnett, John, 1992. "The determinants and effects of health expenditure in developed countries," Journal of Health Economics, Elsevier, vol. 11(2), pages 173-181, August.
    2. Hansen, Paul & King, Alan, 1996. "The determinants of health care expenditure: A cointegration approach," Journal of Health Economics, Elsevier, vol. 15(1), pages 127-137, February.
    3. Nancy Devlin & Paul Hansen, 2001. "Health care spending and economic output: Granger causality," Applied Economics Letters, Taylor & Francis Journals, vol. 8(8), pages 561-564.
    4. Gbesemete, Kwame P. & Gerdtham, Ulf-G., 1992. "Determinants of health care expenditure in Africa: A cross-sectional study," World Development, Elsevier, vol. 20(2), pages 303-308, February.
    5. Ephraim Kleiman, 1974. "The Determinants of National Outlay on Health," International Economic Association Series, in: Mark Perlman (ed.), The Economics of Health and Medical Care, chapter 5, pages 66-88, Palgrave Macmillan.
    6. Muhammad Azeem Qureshi, 2009. "Human development, public expenditure and economic growth: a system dynamics approach," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(1/2), pages 93-104, January.
    7. Subhalaxmi Mohapatra & Padmaja Mishra, 2011. "Composition of Public Expenditure on Health and Economic Growth: A Cointegration Analysis and Causality Testing," The IUP Journal of Public Finance, IUP Publications, vol. 0(2), pages 30-43, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ge Shi & Jingran Zhang & Jiahang Liu & Jinghai Xu & Yu Chen & Yutong Wang, 2024. "Spatial Analysis of Lung Cancer Patients and Associated Influencing Factors from the Perspective of Urban Sustainable Development: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 16(22), pages 1-16, November.
    2. Zhang, Xiang & Li, Dongwen & Zhan, Peng & Bai, Xianchun, 2023. "Who benefits from the basic old-age insurance contribution subsidy policy for the disabled?," Social Science & Medicine, Elsevier, vol. 338(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Di Matteo, Livio, 2000. "The determinants of the public-private mix in Canadian health care expenditures: 1975-1996," Health Policy, Elsevier, vol. 52(2), pages 87-112, June.
    2. Erkan Erdil & I. Hakan Yetkiner, 2009. "The Granger-causality between health care expenditure and output: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 511-518.
    3. Y. Natalia Alfonso & Guiru Ding & David Bishai, 2016. "Income Elasticity of Vaccines Spending versus General Healthcare Spending," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 860-872, July.
    4. Di Matteo, Livio & Di Matteo, Rosanna, 1998. "Evidence on the determinants of Canadian provincial government health expenditures: 1965-1991," Journal of Health Economics, Elsevier, vol. 17(2), pages 211-228, April.
    5. Badi H. Baltagi & Raffaele Lagravinese & Francesco Moscone & Elisa Tosetti, 2017. "Health Care Expenditure and Income: A Global Perspective," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 863-874, July.
    6. Ismael Sanz & Francisco Javier Velázquez, 2002. "Determinants of the Composition of Government Expenditure by Functions," European Economy Group Working Papers 13, European Economy Group.
    7. Ärshiya Ämiri & Mikael Linden, 2016. "Income and total expenditure on health in OECD countries: Evidence from panel data and Hsiao's version of Granger non-causality tests," Economics and Business Letters, Oviedo University Press, vol. 5(1), pages 1-9.
    8. Marwa Farag & A. NandaKumar & Stanley Wallack & Dominic Hodgkin & Gary Gaumer & Can Erbil, 2012. "The income elasticity of health care spending in developing and developed countries," International Journal of Health Economics and Management, Springer, vol. 12(2), pages 145-162, June.
    9. Jay Pan & Gordon G. Liu, 2012. "The Determinants Of Chinese Provincial Government Health Expenditures: Evidence From 2002–2006 Data," Health Economics, John Wiley & Sons, Ltd., vol. 21(7), pages 757-777, July.
    10. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
    11. Baltagi, Badi H. & Moscone, Francesco, 2010. "Health care expenditure and income in the OECD reconsidered: Evidence from panel data," Economic Modelling, Elsevier, vol. 27(4), pages 804-811, July.
    12. N.M. Odhiambo, 2021. "Health Expenditure and Economic Growth in Sub-Saharan Africa: An Empirical Investigation," Working Papers AESRI-2021-05, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    13. Hyejin Lee & Dong-Yop Oh & Ming Meng, 2019. "Stationarity and cointegration of health care expenditure and GDP: evidence from tests with smooth structural shifts," Empirical Economics, Springer, vol. 57(2), pages 631-652, August.
    14. Eugene Kouassi & Gnoudentiho G Silue & Oluyele Akinkugbe & Jean Marcelin B Brou, 2017. "Health expenditures and Income with Nonstationary Panel Data: Evidence from ECOWAS Member Countries," Economics Bulletin, AccessEcon, vol. 37(3), pages 2198-2218.
    15. Henryk Gurgul & Łukasz Lach & Roland Mestel, 2012. "The relationship between budgetary expenditure and economic growth in Poland," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 161-182, March.
    16. McCoskey, Suzanne K. & Selden, Thomas M., 1998. "Health care expenditures and GDP: panel data unit root test results," Journal of Health Economics, Elsevier, vol. 17(3), pages 369-376, June.
    17. Gurgul, Henryk & Lach, Łukasz, 2011. "Causality analysis between public expenditure and economic growth of Polish economy in last decade," MPRA Paper 52281, University Library of Munich, Germany.
    18. Jennifer Roberts, 1999. "Sensitivity of elasticity estimates for OECD health care spending: analysis of a dynamic heterogeneous data field," Health Economics, John Wiley & Sons, Ltd., vol. 8(5), pages 459-472, August.
    19. Hartwig, Jochen, 2008. "What drives health care expenditure?--Baumol's model of 'unbalanced growth' revisited," Journal of Health Economics, Elsevier, vol. 27(3), pages 603-623, May.
    20. Narayan, Paresh Kumar & Narayan, Seema, 2008. "Does environmental quality influence health expenditures? Empirical evidence from a panel of selected OECD countries," Ecological Economics, Elsevier, vol. 65(2), pages 367-374, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5095-:d:297691. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.