IDEAS home Printed from https://ideas.repec.org/a/kap/ijhcfe/v20y2020i1d10.1007_s10754-019-09270-1.html
   My bibliography  Save this article

Health expenditure and gross domestic product: causality analysis by income level

Author

Listed:
  • Rezwanul Hasan Rana

    (University of Southern Queensland
    University of Southern Queensland)

  • Khorshed Alam

    (University of Southern Queensland)

  • Jeff Gow

    (University of Southern Queensland
    University of KwaZulu-Natal)

Abstract

The empirical findings on the relationship between gross domestic product (GDP) and health expenditure are diverse. The influence of income levels on this causal relationship is unclear. This study examines if the direction of causality and income elasticity of health expenditure varies with income level. It uses the 1995–2014 panel data of 161 countries divided into four income groups. Unit root, cointegration and causality tests were employed to examine the relationship between GDP and health expenditure. Impulse-response functions and forecast-error variance decomposition tests were conducted to measure the responsiveness of health expenditure to changes in GDP. Finally, the common correlated effects mean group method was used to examine the income elasticity of health expenditure. Findings show that no long-term cointegration exists, and the growth in health expenditure and GDP across income levels has a different causal relationship when cross-sectional dependence in the panel is accounted for. About 43% of the variation in global health expenditure growth can be explained by economic growth. Income shocks affect health expenditure of high-income countries more than lower-income countries. Lastly, the income elasticity of health expenditure is less than one for all income levels. Therefore, healthcare is a necessity. In comparison with markets, governments have greater obligation to provide essential health care services. Such results have noticeable policy implications, especially for low-income countries where GDP growth does not cause increased health expenditure.

Suggested Citation

  • Rezwanul Hasan Rana & Khorshed Alam & Jeff Gow, 2020. "Health expenditure and gross domestic product: causality analysis by income level," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 55-77, March.
  • Handle: RePEc:kap:ijhcfe:v:20:y:2020:i:1:d:10.1007_s10754-019-09270-1
    DOI: 10.1007/s10754-019-09270-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10754-019-09270-1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10754-019-09270-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    2. Robert E. Hall & Charles I. Jones, 2007. "The Value of Life and the Rise in Health Spending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 39-72.
    3. Stephen Hall & P. Swamy & George Tavlas, 2012. "Generalized cointegration: a new concept with an application to health expenditure and health outcomes," Empirical Economics, Springer, vol. 42(2), pages 603-618, April.
    4. T. Tamakoshi & S. Hamori, 2016. "Testing cointegration between health care expenditure and GDP in Japan with the presence of a regime shift," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 151-155, February.
    5. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    7. Albert Okunade & Mustafa Karakus, 2001. "Unit root and cointegration tests: timeseries versus panel estimates for international health expenditure models," Applied Economics, Taylor & Francis Journals, vol. 33(9), pages 1131-1137.
    8. Shahbaz, Muhammad, 2012. "Does trade openness affect long run growth? Cointegration, causality and forecast error variance decomposition tests for Pakistan," Economic Modelling, Elsevier, vol. 29(6), pages 2325-2339.
    9. Brantley Liddle & George Messinis, 2015. "Which comes first - urbanization or economic growth? Evidence from heterogeneous panel causality tests," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 349-355, March.
    10. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    11. 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.
    12. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521839198.
    13. Daron Acemoglu & Simon Johnson, 2007. "Disease and Development: The Effect of Life Expectancy on Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 115(6), pages 925-985, December.
    14. José Villaverde & Adolfo Maza & María Hierro, 2014. "Health care expenditure disparities in the European Union and underlying factors: a distribution dynamics approach," International Journal of Health Economics and Management, Springer, vol. 14(3), pages 251-268, September.
    15. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447, December.
    16. Menard, Audrey-Rose & Weill, Laurent, 2016. "Understanding the link between aid and corruption: A causality analysis," Economic Systems, Elsevier, vol. 40(2), pages 260-272.
    17. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    18. 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.
    19. F. Moscone & E. Tosetti, 2010. "Health expenditure and income in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 19(12), pages 1385-1403, December.
    20. Lago-Peñas, Santiago & Cantarero-Prieto, David & Blázquez-Fernández, Carla, 2013. "On the relationship between GDP and health care expenditure: A new look," Economic Modelling, Elsevier, vol. 32(C), pages 124-129.
    21. 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.
    22. 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.
    23. Nadide Sevil 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.
    24. Sharmistha Self & Richard Grabowski, 2003. "How effective is public health expenditure in improving overall health? A cross-country analysis," Applied Economics, Taylor & Francis Journals, vol. 35(7), pages 835-845.
    25. Carrion-i-Silvestre, Josep Lluis, 2005. "Health care expenditure and GDP: Are they broken stationary?," Journal of Health Economics, Elsevier, vol. 24(5), pages 839-854, September.
    26. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    27. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    28. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    29. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    30. Emre Atilgan & Dilek Kilic & Hasan Murat Ertugrul, 2017. "The dynamic relationship between health expenditure and economic growth: is the health-led growth hypothesis valid for Turkey?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(5), pages 567-574, June.
    31. Rafiq, Shuddhasawtta & Salim, Ruhul & Bloch, Harry, 2009. "Impact of crude oil price volatility on economic activities: An empirical investigation in the Thai economy," Resources Policy, Elsevier, vol. 34(3), pages 121-132, September.
    32. Asteriou, Dimitrios, 2009. "Foreign aid and economic growth: New evidence from a panel data approach for five South Asian countries," Journal of Policy Modeling, Elsevier, vol. 31(1), pages 155-161.
    33. 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.
    34. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    35. Marwa Farag & A. Nandakumar & Stanley Wallack & Dominic Hodgkin & Gary Gaumer & Can Erbil, 2013. "Health expenditures, health outcomes and the role of good governance," International Journal of Health Economics and Management, Springer, vol. 13(1), pages 33-52, March.
    36. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
    37. Zijun Wang, 2009. "The determinants of health expenditures: evidence from US state-level data," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 429-435.
    38. Garry MacDonald & Sandra Hopkins, 2002. "Unit root properties of OECD health care expenditure and GDP data," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 371-376, June.
    39. Bloom, David E. & Canning, David & Sevilla, Jaypee, 2004. "The Effect of Health on Economic Growth: A Production Function Approach," World Development, Elsevier, vol. 32(1), pages 1-13, January.
    40. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    41. World Bank, 2016. "World Development Indicators 2016," World Bank Publications - Books, The World Bank Group, number 23969, December.
    42. 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.
    43. Zijun Wang & Andrew J. Rettenmaier, 2007. "A note on cointegration of health expenditures and income," Health Economics, John Wiley & Sons, Ltd., vol. 16(6), pages 559-578, June.
    44. Gerdie Everaert & Tom De Groote, 2016. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 428-463, March.
    45. repec:hal:journl:peer-00796743 is not listed on IDEAS
    46. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    47. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    48. Tapia Granados, José A., 2012. "Economic growth and health progress in England and Wales: 160 years of a changing relation," Social Science & Medicine, Elsevier, vol. 74(5), pages 688-695.
    49. Ekaterini Panopoulou & Theologos Pantelidis, 2012. "Convergence in per capita health expenditures and health outcomes in the OECD countries," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3909-3920, October.
    50. Damiaan Persyn & Joakim Westerlund, 2008. "Error-correction–based cointegration tests for panel data," Stata Journal, StataCorp LP, vol. 8(2), pages 232-241, June.
    51. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    52. 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.
    53. James W. Shaw & William C. Horrace & Ronald J. Vogel, 2005. "The Determinants of Life Expectancy: An Analysis of the OECD Health Data," Southern Economic Journal, John Wiley & Sons, vol. 71(4), pages 768-783, April.
    54. 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.
    55. Wang, Kuan-Min, 2011. "Health care expenditure and economic growth: Quantile panel-type analysis," Economic Modelling, Elsevier, vol. 28(4), pages 1536-1549, July.
    56. Christian Gengenbach & Franz C. Palm & Jean‐Pierre Urbain, 2006. "Cointegration Testing in Panels with Common Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 683-719, December.
    57. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    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. Kossi Atsutsè Dziédzom Tsomdzo & Yacobou Sanoussi & Kodjo Evlo, 2022. "Investissement en santé et état de santé dans les pays de l'UEMOA: entre contribution publique et privée?," African Development Review, African Development Bank, vol. 34(2), pages 244-254, June.
    2. Ali Uyar & Cemil Kuzey & Merve Kilic & Abdullah S. Karaman, 2021. "Board structure, financial performance, corporate social responsibility performance, CSR committee, and CEO duality: Disentangling the connection in healthcare," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(6), pages 1730-1748, November.
    3. Chiwei Su & Yiru Liu & Chang Liu & Ran Tao, 2022. "The Impact of Medical and Health Fiscal Expenditures on Pharmaceutical Industry Stock Index in China," IJERPH, MDPI, vol. 19(18), pages 1-14, September.
    4. Essosinam Franck Karabou & Komlan Ametowoyo Adeve & Kossi Atsutsè Dziédzom Tsomdzo, 2021. "Dépenses publiques de santé, état de santé et croissance en Afrique Subsaharienne: Cas de l'Afrique de l'Est et de l'Ouest," African Development Review, African Development Bank, vol. 33(2), pages 397-407, June.
    5. Adeel Saleem & Ghulam Sarwar & Jahanzaib Sultan & Zulfiqar Ali, 2022. "Determinants of Public Healthcare Investment: Cointegration and Causality Evidence from Pakistan," Journal of Economic Impact, Science Impact Publishers, vol. 4(2), pages 01-13.
    6. Nor Aziah Abd Kadir & Nur Fakhzan Marwan & Adibah Hussin & Rosmah Nizam & Fazreena Mansor, 2022. "Long Run Analysis between Climate Change, Socio-Economic Factors and Technology on Health Expenditure in Malaysia," International Journal of Human Resource Studies, Macrothink Institute, vol. 12(2), pages 6589-6589, December.
    7. Tomasz Rokicki & Aleksandra Perkowska & Marcin Ratajczak, 2020. "Differentiation in Healthcare Financing in EU Countries," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    8. Wei Jiang & Yadong Wang, 2023. "Asymmetric Effects of Human Health Capital on Economic Growth in China: An Empirical Investigation Based on the NARDL Model," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    9. Mustafa Ozer & Veysel Inal & Mustafa Kirca, 0. "The Relationship Between the Health Services Price Index and The Real Effective Exchange Rate Index in Turkey: A Frequency Domain Causality Analysis," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(36), pages 21-41, June.

    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. Muhammad Arshad Khan & Muhammad Iftikhar Ul Husnain, 2019. "Is health care a luxury or necessity good? Evidence from Asian countries," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 213-233, June.
    2. Alejandro F. Rodríguez & M. Nieves Valdés, 2019. "Health care expenditures and GDP in Latin American and OECD countries: a comparison using a panel cointegration approach," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 115-153, June.
    3. 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.
    4. 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.
    5. Eugene Kouassi & Oluyele Akinkugbe & Noni Oratile Kutlo & J. M. Bosson Brou, 2018. "Health expenditure and growth dynamics in the SADC region: evidence from non-stationary panel data with cross section dependence and unobserved heterogeneity," International Journal of Health Economics and Management, Springer, vol. 18(1), pages 47-66, March.
    6. Declan French, 2012. "Causation between health and income: a need to panic," Empirical Economics, Springer, vol. 42(2), pages 583-601, April.
    7. 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.
    8. 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.
    9. Barkat, Karim & Sbia, Raschid & Maouchi, Youcef, 2019. "Empirical evidence on the long and short run determinants of health expenditure in the Arab world," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 78-87.
    10. Belaïd, Fateh & Zrelli, Maha Harbaoui, 2019. "Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries," Energy Policy, Elsevier, vol. 133(C).
    11. 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.
    12. Chak Hung Jack Cheng & Nopphol Witvorapong, 2021. "Health care policy uncertainty, real health expenditures and health care inflation in the USA," Empirical Economics, Springer, vol. 60(4), pages 2083-2103, April.
    13. DO ANGO, Simplicio & AMBA OYON, Claude Marius, 2016. "Health expenditure and Real disposable Income in the ECCAS: A Causal Study using spatial panel approach," MPRA Paper 79684, University Library of Munich, Germany.
    14. 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.
    15. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    16. Charles Shaaba Saba & Nicholas Ngepah, 2022. "ICT Diffusion, Industrialisation and Economic Growth Nexus: an International Cross-country Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2030-2069, September.
    17. Gazi Hassan & Arusha Cooray & Mark Holmes, 2017. "The effect of female and male health on economic growth: cross-country evidence within a production function framework," Empirical Economics, Springer, vol. 52(2), pages 659-689, March.
    18. 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.
    19. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    20. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.

    More about this item

    Keywords

    Health expenditure; Gross domestic product; Westerlund cointergration; Causality analysis; Impulse response function; Common correlated effects;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

    Statistics

    Access and download statistics

    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:kap:ijhcfe:v:20:y:2020:i:1:d:10.1007_s10754-019-09270-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.