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Environ Sci Pollut Res Int ; 29(8): 10908-10927, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-35000176

RESUMO

In this paper, we use (Yilanci et al. 2020) Fourier autoregressive distributed lag (ARDL) model to study the correlation between health expenditures, CO2 emissions, and GDP fluctuations in BRICS countries from 2000 to 2019. The Fourier ARDL model has the function of bootstrap repeated simulation calculations, so that small samples can also achieve the advantages of finer inspection results. In this paper, we find that in the long term, Brazil and China are countries that both have cointegration relationships in health expenditure, CO2 emissions, and economic growth. With CO2 emissions as the dependent variable and health expenditure and economic growth as independent variables, in the short term, there is a negative causal relationship between India's CO2 emissions and health expenditure; other countries only show the relationship between CO2 emissions, health expenditure, or economic growth one-way relationship. This paper also has some policy suggestions on health expenditures and CO2 emissions in the BRICS countries at the end.


Assuntos
Dióxido de Carbono , Desenvolvimento Econômico , Brasil , Dióxido de Carbono/análise , Gastos em Saúde , Políticas
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