Scholarlink

<p>This study investigates reduced-form dynamic linkages among banking performance, financial stability, economic development, financial development, and carbon emissions across a nine-country BRICS+ analytical sample during 2000–2021. Using a Panel Vector Autoregression-Generalized Method of Moments (PVAR-GMM) framework, the study examines how micro-banking indicators and macro-structural environmental conditions predict one another over time. The findings indicate a path-dependent system. Credit expansion initially predicts higher emissions, while its second-lag response is negative; this sign reversal is interpreted as a short- to medium-run adjustment pattern. Bank stability and bank income structure are also dynamically linked to emissions, but the results are treated as predictive associations supported by impulse response function analysis. Environmental deterioration is associated with subsequent pressure on non-interest income, suggesting that climate-related transition and physical risks may affect banking performance. Overall, the evidence implies that green financial transition in BRICS+ economies depends not only on expanding credit but also on improving credit allocation, risk pricing, banking resilience, and climate-related supervisory capacity.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Banking performance, financial stability, economic development, and carbon emissions in BRICS+ using PVAR–GMM analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月7日

查看全文
  • Tri M. Hoang,
  • Thanh Phuc Nguyen,
  • Ho Hoang Gia Bao

摘要

This study investigates reduced-form dynamic linkages among banking performance, financial stability, economic development, financial development, and carbon emissions across a nine-country BRICS+ analytical sample during 2000–2021. Using a Panel Vector Autoregression-Generalized Method of Moments (PVAR-GMM) framework, the study examines how micro-banking indicators and macro-structural environmental conditions predict one another over time. The findings indicate a path-dependent system. Credit expansion initially predicts higher emissions, while its second-lag response is negative; this sign reversal is interpreted as a short- to medium-run adjustment pattern. Bank stability and bank income structure are also dynamically linked to emissions, but the results are treated as predictive associations supported by impulse response function analysis. Environmental deterioration is associated with subsequent pressure on non-interest income, suggesting that climate-related transition and physical risks may affect banking performance. Overall, the evidence implies that green financial transition in BRICS+ economies depends not only on expanding credit but also on improving credit allocation, risk pricing, banking resilience, and climate-related supervisory capacity.