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U.S. state-level carbon dioxide emissions: Does it affect health care expenditure?

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  • Apergis, Nicholas
  • Gupta, Rangan
  • Lau, Chi Keung Marco
  • Mukherjee, Zinnia

Abstract

This paper is the first to provide an empirical analysis of the short run and long run effects of carbon dioxide (CO2) emissions on health care spending across U.S. states. Accounting for the possibility of non-linearity in the data and the relationship among the variables, the analysis estimated various statistical models to demonstrate that CO2 emissions led to increases in health care expenditures across U.S states between 1966 and 2009. Using quantile regressions, the analysis displayed that the effect of CO2 emissions was stronger at the upper-end of the conditional distribution of health care expenditures. Results indicate the effect of CO2 emissions on health care was relatively stronger for states that spend higher amounts in health care expenditures. The primary policy message of the paper is that there can be tangible health related benefits associated with policies that aim to reduce carbon emissions across U.S. states.

Suggested Citation

  • Apergis, Nicholas & Gupta, Rangan & Lau, Chi Keung Marco & Mukherjee, Zinnia, 2018. "U.S. state-level carbon dioxide emissions: Does it affect health care expenditure?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 521-530.
  • Handle: RePEc:eee:rensus:v:91:y:2018:i:c:p:521-530
    DOI: 10.1016/j.rser.2018.03.035
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    1. Mario Cerrato & Christian De Peretti & Nick Sarantis, 2007. "A nonlinear panel unit root test under cross section dependence," Documents de recherche 07-12, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    2. Joakim Westerlund & David L. Edgerton, 2008. "A Simple Test for Cointegration in Dependent Panels with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(5), pages 665-704, October.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Mario Cerrato & Christian De Peretti & Chris Stewart, 2013. "Is The Consumption–Income Ratio Stationary? Evidence From Linear And Non-Linear Panel Unit Root Tests For Oecd And Non-Oecd Countries," Manchester School, University of Manchester, vol. 81(1), pages 102-120, January.
    5. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    6. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    7. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    8. 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.
    9. 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.
    10. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    11. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    12. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    13. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana & Rangan Gupta, 2018. "The relationship between healthcare expenditure and disposable personal income in the US states: a fractional integration and cointegration analysis," Empirical Economics, Springer, vol. 55(3), pages 913-935, November.
    14. Li, Xiao-Lin & Tang, D.P. & Chang, Tsangyao, 2014. "CO2 emissions converge in the 50 U.S. states — Sequential panel selection method," Economic Modelling, Elsevier, vol. 40(C), pages 320-333.
    15. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    16. 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.
    17. Donald Freeman, 2003. "Is health care a necessity or a luxury? Pooled estimates of income elasticity from US state-level data," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 495-502.
    18. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    19. 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.
    20. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    21. Mulatu F. Zerihun & Juncal Cunado & Rangan Gupta, 2017. "Are Health Care Expenditures and Personal Disposable Income Characterised by Asymmetric Behaviour? Evidence from US State-Level Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 527-542, March.
    22. N. R. Vasudeva Murthy & Victor Ukpolo, 1995. "Aggregate health care expenditure in the United States: new results," Applied Economics Letters, Taylor & Francis Journals, vol. 2(11), pages 419-421.
    23. Donald G. Freeman, 2012. "Is Health Care a Necessity or a Luxury? New Evidence from a Panel of U.S. State-Level Data," Working Papers 1203, Sam Houston State University, Department of Economics and International Business.
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    More about this item

    Keywords

    Health care expenditure; Carbon dioxide emissions; Panel cointegration; Panel quantile regression;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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