Nonlinear Relationship between Financial Development and CO2 Emissions-Based on a PSTR Model

The contradiction between financial development and environmental pollution has become increasingly prominent with economic development. The discovery of the link between financial development and carbon dioxide emissions will aid in the development of solutions to this problem. This paper uses a panel smooth transition regression (PSTR) model to examine the impact of financial development on carbon dioxide emissions using panel data from 28 Chinese provinces from 2005 to 2021. The PSTR model can solve the problem of minimizing potential outliers ignored in the previous literature, while taking into account the endogeneity and heterogeneity of the model and obtaining more reliable results. According to the findings, financial development has a nonlinear effect on carbon dioxide emissions. Furthermore, the positive effect of financial development on carbon dioxide emissions occurs via the scale and structural effects, while the negative effect occurs via the technological effect, which takes up more space. Moreover, financial added value and the financial scale demonstrate a smooth transition, while financial efficiency and foreign direct investment demonstrate a positive influence.

Automated summary

The contradiction between financial development and environmental pollution has become increasingly prominent with economic development. The link between financial development and carbon dioxide emissions is examined using a panel smooth transition regression (PSTR) model on panel data from 28 Chinese provinces from 2005 to 2021. The findings suggest that financial development has a nonlinear effect on carbon dioxide emissions, with positive effects through scale and structural effects and negative effects through technological effects.