Literature DB >> 35778665

The criticality of financial risk to environment sustainability in top carbon emitting countries.

Seyi Saint Akadiri1, Tomiwa Sunday Adebayo2.   

Abstract

This research examines the linkage between financial risk and carbon emissions using a quarterly dataset spanning from 1991 to 2019 for top carbon emitting countries. To achieve the study objective, this study apply quantile-on-quantile regression (QQR), the quantile regression (QR) approach for robustness check, and the nonparametric predictive test that identifies causality in mean and variance. Empirical findings from the QQR technique disclose the following: (i) financial risk decreases carbon emissions in the USA, Russia, Germany, and Canada; (ii) in China, India, Japan, Brazil, and Indonesia, financial risk enhances carbon emissions (iii) while we find mixed reactions in the case of South Korea. The outcomes of the conventional quantile regression also confirm the QQR outcomes, while that of nonparametric causality discloses evidence of causality in majority of quantiles from financial risk to carbon emissions. Based on these empirical outcomes, policymakers in the financial risk-induced-environmental degradation regions should consider implementing policies or reforms that would keep financial systems sound, in order to prevent shocks to the environment, and its attendant multiplier impact on the environmental sustainability targets implemented to protect both the immediate and the future generations.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Carbon emissions; Financial risk; Nonparametric causality; Quantile-on-quantile regression

Year:  2022        PMID: 35778665     DOI: 10.1007/s11356-022-21687-9

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Financial Measures to Reduce Carbon Emissions in Britain, Japan and the United States: A SWOT Analysis.

Authors:  Sheng Hu; Pan Zhang; Taoyuan Wei
Journal:  Int J Environ Res Public Health       Date:  2022-08-29       Impact factor: 4.614

  1 in total

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