IDEAS home Printed from https://ideas.repec.org/p/sid/wpaper/177.html
   My bibliography  Save this paper

Determinants of Public Expenditure on Health in India: The Panel Data Estimates

Author

Listed:
  • Shailender Kumar Hooda

    (Institute for Studies in Industrial Development, New Delhi)

Abstract

There is high inter-state variation in public expenditure on health across states of India. This paper examines the degree to which this discrepancy in health expenditure is explained by income and other socio-economic-demographic factors. Findings show that the responsiveness of health spending is sensitive (with elasticity less than one) to change in per capita income of the state. The fiscal capacity and participation of people in politics of a particular state and health policy reforms initiated in 2005 play a significant role in positively influencing the government health expenditure. The demographic factors, however, are less likely to influence the spending on health.

Suggested Citation

  • Shailender Kumar Hooda, 2015. "Determinants of Public Expenditure on Health in India: The Panel Data Estimates," Working Papers 177, Institute for Studies in Industrial Development (ISID).
    • Handle: RePEc:sid:wpaper:177
    as

    Download full text from publisher

    File URL: http://isid.org.in/pdf/WP177.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sameer Kumar Mondal & Vineeta Kanwal, 2006. "Addressing Key Issues in the Light of Structural Adjustment Programme (SAP) in Health and Family Welfare Sector in India," NCAER Working Papers 97, National Council of Applied Economic Research.
    2. 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.
    3. Samir K. Mondal & Vineeta Kanwal, 2006. "Addressing Key Issues in the Light of Structural Adjustment Programme (SAP) in Health and Family Welfare Sector in India," Development Economics Working Papers 22133, East Asian Bureau of Economic Research.
    4. Dreger, C. & Reimers, H.E., 2005. "Health Care Expenditures in OECD Countries: A Panel Unit Root and Cointegration Analysis," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(2), pages 5-20.
    5. Getzen, Thomas E., 2000. "Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 19(2), pages 259-270, March.
    6. 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.
    7. Bidani, Benu & Ravallion, Martin, 1997. "Decomposing social indicators using distributional data," Journal of Econometrics, Elsevier, vol. 77(1), pages 125-139, March.
    8. Gupta, Sanjeev & Verhoeven, Marijn & Tiongson, Erwin R., 2002. "The effectiveness of government spending on education and health care in developing and transition economies," European Journal of Political Economy, Elsevier, vol. 18(4), pages 717-737, November.
    9. 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.
    10. Boyce, James K, 1986. "Kinked Exponential Models for Growth Rate Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(4), pages 385-391, November.
    11. Sudhir Anand & Martin Ravallion, 1993. "Human Development in Poor Countries: On the Role of Private Incomes and Public Services," Journal of Economic Perspectives, American Economic Association, vol. 7(1), pages 133-150, Winter.
    12. Le Grand, Julian, 1987. "Inequalities in health : Some international comparisons," European Economic Review, Elsevier, vol. 31(1-2), pages 182-191.
    13. Murthy, Vasudeva N.R. & Okunade, Albert A., 2009. "The core determinants of health expenditure in the African context: Some econometric evidence for policy," Health Policy, Elsevier, vol. 91(1), pages 57-62, June.
    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. Tiken Das & Diganta Das, 2022. "Does the augmentation of monetary and non‐monetary factors prerequisite for the improvement of health outcomes? Evidence from the Indian states," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(2), pages 1131-1156, March.
    2. Deepak Kumar BEHERA & Umakant DASH, 2017. "Impact of GDP and tax revenue on health care financing: An empirical investigation from Indian states," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(611), S), pages 249-262, Summer.

    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. Moheddine Younsi & Mohamed Chakroun & Amine Nafla, 2016. "Robust analysis of the determinants of healthcare expenditure growth: evidence from panel data for low-, middle- and high-income countries," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(4), pages 580-601, October.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. Mujaheed Shaikh & Afschin Gandjour, 2019. "Pharmaceutical expenditure and gross domestic product: Evidence of simultaneous effects using a two‐step instrumental variables strategy," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 101-122, January.
    8. Byaro, Mwoya & Kinyondo, Abel & Michello, Charles & Musonda, Patrick, 2018. "Determinants of Public Health Expenditure Growth in Tanzania: An Application of Bayesian Model," African Journal of Economic Review, African Journal of Economic Review, vol. 6(1), January.
    9. 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.
    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.
    11. Mohanty, Ranjan Kumar & Behera, Deepak Kumar, 2020. "How Effective is Public Health Care Expenditure in Improving Health Outcome? An Empirical Evidence from the Indian States," Working Papers 20/300, National Institute of Public Finance and Policy.
    12. Mehdi Barati & Hadiseh Fariditavana, 2020. "Asymmetric effect of income on the US healthcare expenditure: evidence from the nonlinear autoregressive distributed lag (ARDL) approach," Empirical Economics, Springer, vol. 58(4), pages 1979-2008, April.
    13. Kamil Dybczak & Bartosz Przywara, 2010. "The role of technology in health care expenditure in the EU," European Economy - Economic Papers 2008 - 2015 400, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    14. Shailender Kumar Hooda, 2016. "Determinants of Public Expenditure on Health in India: A Panel Data Analysis at Sub-National Level," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 257-282, December.
    15. 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.
    16. 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.
    17. 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.
    18. Vasudeva N. R. Murthy & Natalya Ketenci, 2017. "Is technology still a major driver of health expenditure in the United States? Evidence from cointegration analysis with multiple structural breaks," International Journal of Health Economics and Management, Springer, vol. 17(1), pages 29-50, March.
    19. 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.
    20. Giorgia Marini, 2016. "A note on the power of panel cointegration tests – An application to health care expenditure and gdp," Public Finance Research Papers 21, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.

    More about this item

    Keywords

    Panel Regression; Fiscal Capacity; Expenditure Elasticity; Political Participation; India;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health

    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:sid:wpaper:177. 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: Amitava Dey (email available below). General contact details of provider: https://edirc.repec.org/data/isidein.html .

    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.