RESUMO
The study was aimed at investigating the dynamic relationship between environmental taxes, green financing, and carbon dioxide (CO2) emissions in Brazil, China, India, and South Africa from 1994 to 2019. To thoroughly examine the proposed relationship, a family of robust econometric methods is used to get reliable and accurate results. Our evidence indicates that green finance and CO2 emissions are negatively connected with each other. Similarly, positive relationship is found between environmental taxes and CO2 emissions. Additionally, environmental taxes and green finance are positively related as well. Further, the results of the Method of Moments Quantile Regression estimator indicate that green finance and CO2 emissions decrease in countries with higher pollution compared to those with lower pollution. Interestingly, environmental taxes only contribute to pollution in countries with higher emissions, whereas CO2 emissions increase environmental taxes in all sample countries. Lastly, green finance has a mitigating effect only in countries with greater pollution, and CO2 emissions have a negative rebound effect on green finance in countries with greater CO2 emissions. According to the evidence, green financing can be an effective tool for promoting environmental quality. By allocating the funds collected from environmental taxes to green financing, environmental sustainability can be promoted in sample countries.
Assuntos
Dióxido de Carbono , Impostos , Causalidade , Brasil , China , Desenvolvimento EconômicoRESUMO
Pursuing ecological sustainability while mitigating the effects of environmental pollution has become a global pursuit. Moreover, the issue of how emerging economies like Mexico, Indonesia, Turkey, and Nigeria (MINT) economies can significantly reduce environmental pollution (EVP) remains elusive. This study sought to investigate the interplay between economic growth, green finance, renewable energy use, natural resource rent, energy innovation, urbanization and environmental pollution by analyzing panel data from 1990 to 2020. This research employed the novel econometrics approach CS-ARDL to examine the short and long-term relationships among the series. The research outcome disclosed that economic growth, natural resource rent and urbanization increase environmental pollution. In contrast, the empirical findings of this study revealed that environmental pollution could be neutralized through effective mechanisms such as green finance, renewable energy consumption, and the promotion of energy innovation. This research provides a fresh insight from the MINT economies and contributes to the existing literature by examining factors contributing to environmental pollution. This research also provides a benchmark for policy-makers and governments to invest in environmentally-friendly technologies to exploit the natural resources in these countries to mitigate the effect of environmental pollution.