Per capita

Context (archaeology)

Demography

Ecology

Biology

Financial services

Sustainability

Panel data

Archaeology

Economics

Business

Geography

Political science

Econometrics

Population

Sustainable development

Sociology

Finance

Resources Policy

This research aimed to analyze the impact of financial development on environmental sustainability. Data was collected for 34 countries in Europe, covering the period from 2000 to 2020. Data analysis was conducted using the Feasible Generalised Least Squares (FGLS) model, a random-effects model (specified by the Hausman test), and the Generalised Method of Moments (GMM) approach. It was found that lending rates are negatively related to CO2 emissions per capita, total CO2, and CO2 by the transport industry. It was also found that bank credit to the private sector increases total CO2 emissions and CO2 emissions from the power and transport industries. This study found that domestic credit to the private sector increases total CO2 emissions. An important implication of these results is that borrowers should be selected and monitored using more stringent criteria to ensure compliance with environmental requirements. This study has made multiple contributions. It has extended knowledge about how the financial sector impacts the environment. It has used two models that can handle issues of collinearity and heteroscedasticity. Its findings are useful for understanding the financial development-environmental health association in this unique COVID-19 pandemic context.

The impact of financial development on environmental sustainability: A European perspective