U.S. State-Level Carbon Dioxide Emissions: Does It Affect Health Care Expenditure?

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

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.
LanguageEnglish
Pages521-530
Number of pages10
JournalRenewable and Sustainable Energy Reviews
Volume91
Early online date1 Jun 2018
DOIs
Publication statusPublished - Aug 2018

Fingerprint

Health care
Carbon dioxide
Health
Carbon

Cite this

Apergis, Nicholas ; Gupta, Rangan ; Lau, Chi Keung ; Mukherjee, Zinnia . / U.S. State-Level Carbon Dioxide Emissions : Does It Affect Health Care Expenditure?. In: Renewable and Sustainable Energy Reviews. 2018 ; Vol. 91. pp. 521-530.
@article{1045e34c6b164a50bc85c8ca3530f3d2,
title = "U.S. State-Level Carbon Dioxide Emissions: Does It Affect Health Care Expenditure?",
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.",
keywords = "health care expenditure, carbon dioxide emissions, panel quantile regression, panel cointegration, Carbon dioxide emissions, Panel quantile regression, Panel cointegration, Health care expenditure",
author = "Nicholas Apergis and Rangan Gupta and Lau, {Chi Keung} and Zinnia Mukherjee",
year = "2018",
month = "8",
doi = "10.1016/j.rser.2018.03.035",
language = "English",
volume = "91",
pages = "521--530",
journal = "Renewable and Sustainable Energy Reviews",
issn = "1364-0321",
publisher = "Elsevier Limited",

}

U.S. State-Level Carbon Dioxide Emissions : Does It Affect Health Care Expenditure? / Apergis, Nicholas; Gupta, Rangan ; Lau, Chi Keung; Mukherjee, Zinnia .

In: Renewable and Sustainable Energy Reviews, Vol. 91, 08.2018, p. 521-530.

Research output: Contribution to journalArticle

TY - JOUR

T1 - U.S. State-Level Carbon Dioxide Emissions

T2 - Renewable and Sustainable Energy Reviews

AU - Apergis, Nicholas

AU - Gupta, Rangan

AU - Lau, Chi Keung

AU - Mukherjee, Zinnia

PY - 2018/8

Y1 - 2018/8

N2 - 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.

AB - 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.

KW - health care expenditure

KW - carbon dioxide emissions

KW - panel quantile regression

KW - panel cointegration

KW - Carbon dioxide emissions

KW - Panel quantile regression

KW - Panel cointegration

KW - Health care expenditure

UR - http://www.scopus.com/inward/record.url?scp=85045652598&partnerID=8YFLogxK

U2 - 10.1016/j.rser.2018.03.035

DO - 10.1016/j.rser.2018.03.035

M3 - Article

VL - 91

SP - 521

EP - 530

JO - Renewable and Sustainable Energy Reviews

JF - Renewable and Sustainable Energy Reviews

SN - 1364-0321

ER -