PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 19, 2026Global Business Review0 citations

Decoding the Link of Climate Risk and Banking Stability: An Analysis Through the Lens of Climate Uncertainty and Banking Regulation During the Pre- and Post-Paris Accord

View Full Paper
ASAamir Aijaz Syed

Key Points

  • The study aims to analyze how climate risk and policy uncertainty affect banking stability in BRICS nations.
  • Utilized econometric models to analyze the impact of climate risk and policy uncertainty on banking stability.
  • Assessed data from 2007 to 2021, specifically before and after the Paris Accord.
  • Evaluated banking stability using Z-score and nonperforming loans as proxies.
  • Found that climate risk index and climate policy uncertainty negatively impact banking stability.
  • Identified an increase in nonperforming loans and a decrease in Z-scores during high climate risk periods.
  • Demonstrated that stronger banking regulation moderates the negative impacts of climate risks on stability.

Abstract

The growing complexity of climate change within the global economy motivates researchers to explore its impact on various economic dimensions. In this quest, the present study explores the influence of climate risk index (CRI) and climate policy uncertainty (CPU) on the banking stability of the BRICS economies. In addition, the study also explores the moderating role of banking regulation and supervision on the aforementioned relationship. In order to accomplish the above objectives, the study employs a robust set of econometric models on the alternative proxies of banking stability, that is, Z-score and nonperforming loans (NPLs). Furthermore, to assess the impact of the Paris Agreement on the previously discussed relationship, the study analyses the above relationship across three distinct timeframes, that is, the complete sample (2007–2021), the period preceding the Paris Accord (2007–2014) and the timeframe following the Paris Accord (2015–2021). The findings from the panel-corrected standard error (PCSE) estimate indicate that CRI and CPU exert a negative impact on the banking stability by increasing the proportion of NPLs and reducing the Z-scores. In terms of the interaction variables, the study demonstrates that when CRI interacts with CPU, it exacerbates the negative influence on the banking sector’s stability. Moreover, considering the moderating variables, the empirical analysis indicates that banking regulation and supervision moderate the negative impact of CRI on the banking stability. The study also explains that the repercussions of the climate risk on the banking stability are more pronounced following the post-Paris Accord period compared to the period preceding the Paris Accord. The estimates remain consistent across various alternative methodologies, that is, the system-generalized method of moments and the fixed effects model. The study offers useful insight to comprehend the impact of climate risk on the banking stability.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Aamir Aijaz Syed (2026) studied this question.

synapsesocial.com/papers/6996a84cecb39a600b3eed3chttps://doi.org/10.1177/09721509261417491
Ask AI
Helpful
Bookmark
Share
View Full Paper