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Nonlinear Granger Causality between Health Care Expenditure and Economic Growth in the OECD and Major Developing Countries

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  • Liping Ye

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Xinping Zhang

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

Abstract

Differing from previous studies ignoring the nonlinear features, this study employs both the linear and nonlinear Granger causality tests to examine the complex causal relationship between health care expenditure and economic growth among 15 Organisation for Economic Co-operation and Development (OECD) and 5 major developing countries. Some interesting findings can be obtained as follows: (1) For Australia, Austria, and UK, linear and nonlinear Granger causality does not exist between them. A unidirectional linear or nonlinear causality running from economic growth to health care expenditure can be found for Ireland, Korea, Portugal, and India. For these seven countries, health or fiscal policy related to health spending will not have an impact on economic growth; (2) For Belgium, Norway, and Mexico, only a unidirectional linear causality runs from health care expenditure to economic growth, while bidirectional linear causality can be found for Canada, Finland, Iceland, New Zealand, Spain, Brazil, and South Africa. Especially for the US, China, and Japan, a unidirectional nonlinear causality exists from health spending to economic growth. To improve the quality of national health, life quality and happiness, these 13 countries should actively look to optimise policy related to health care expenditure, such as by enhancing the efficiency of health costs to promote sustainable economic development.

Suggested Citation

  • Liping Ye & Xinping Zhang, 2018. "Nonlinear Granger Causality between Health Care Expenditure and Economic Growth in the OECD and Major Developing Countries," IJERPH, MDPI, vol. 15(9), pages 1-16, September.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:1953-:d:168378
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    1. 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.
    2. Clemente, Jesus & Marcuello, Carmen & Montanes, Antonio & Pueyo, Fernando, 2004. "On the international stability of health care expenditure functions: are government and private functions similar?," Journal of Health Economics, Elsevier, vol. 23(3), pages 589-613, May.
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    4. Dandan Liu & Rui Li & Zijun Wang, 2011. "Testing for structural breaks in panel varying coefficient models: with an application to OECD health expenditure," Empirical Economics, Springer, vol. 40(1), pages 95-118, February.
    5. Gerdtham, Ulf-G. & Lothgren, Mickael, 2000. "On stationarity and cointegration of international health expenditure and GDP," Journal of Health Economics, Elsevier, vol. 19(4), pages 461-475, July.
    6. Wang, Kuan-Min, 2011. "Health care expenditure and economic growth: Quantile panel-type analysis," Economic Modelling, Elsevier, vol. 28(4), pages 1536-1549, July.
    7. 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.
    8. Nadide Halıcı-Tülüce & İbrahim Doğan & Cüneyt Dumrul, 2016. "Is income relevant for health expenditure and economic growth nexus?," International Journal of Health Economics and Management, Springer, vol. 16(1), pages 23-49, March.
    9. Luca Lorenzoni & Jonathan Millar & Franco Sassi & Douglas Sutherland, 2017. "Cyclical vs structural effects on health care expenditure trends in OECD countries," OECD Health Working Papers 92, OECD Publishing.
    10. Anne B. Koehler & Emily S. Murphree, 1988. "A Comparison of the Akaike and Schwarz Criteria for Selecting Model Order," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 37(2), pages 187-195, June.
    11. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    12. Jewell, Todd & Lee, Junsoo & Tieslau, Margie & Strazicich, Mark C., 2003. "Stationarity of health expenditures and GDP: evidence from panel unit root tests with heterogeneous structural breaks," Journal of Health Economics, Elsevier, vol. 22(2), pages 313-323, March.
    13. S. M. Abdullah & Salina Siddiqua & Rumana Huque, 2017. "Is health care a necessary or luxury product for Asian countries? An answer using panel approach," Health Economics Review, Springer, vol. 7(1), pages 1-12, December.
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    16. Alzahrani, Mohammed & Masih, Mansur & Al-Titi, Omar, 2014. "Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 175-201.
    17. Chiou-Wei, Song Zan & Chen, Ching-Fu & Zhu, Zhen, 2008. "Economic growth and energy consumption revisited -- Evidence from linear and nonlinear Granger causality," Energy Economics, Elsevier, vol. 30(6), pages 3063-3076, November.
    18. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    19. Narayan, Paresh Kumar, 2006. "Examining structural breaks and growth rates in international health expenditures," Journal of Health Economics, Elsevier, vol. 25(5), pages 877-890, September.
    20. Prasad Bal, Debi & Narayan Rath, Badri, 2015. "Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India," Energy Economics, Elsevier, vol. 51(C), pages 149-156.
    21. Vicente Esteve & Jose Martinez-Zahonero, 2007. "Testing the long-run relationship between health expenditures and GDP in the presence of structural change: the case of Spain," Applied Economics Letters, Taylor & Francis Journals, vol. 14(4), pages 271-276.
    22. Robyn Swift, 2011. "The relationship between health and GDP in OECD countries in the very long run," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 306-322, March.
    23. Blomqvist, A. G. & Carter, R. A. L., 1997. "Is health care really a luxury?," Journal of Health Economics, Elsevier, vol. 16(2), pages 207-229, April.
    24. Amiri, Arshia & Ventelou, Bruno, 2012. "Granger causality between total expenditure on health and GDP in OECD: Evidence from the Toda–Yamamoto approach," Economics Letters, Elsevier, vol. 116(3), pages 541-544.
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    5. Wei, Jiangqiao & Ma, Zhe & Wang, Anjian & Li, Pengyuan & Sun, Xiaoyan & Yuan, Xiaojing & Hao, Hongchang & Jia, Hongxiang, 2022. "Multiscale nonlinear Granger causality and time-varying effect analysis of the relationship between iron ore futures and spot prices," Resources Policy, Elsevier, vol. 77(C).

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