Non-linear relationship between FinTech, natural resources, green innovation and environmental sustainability: Evidence from panel smooth transition regression model

Abstract

The rapid global economic growth has expressed worries regarding the depletion of natural resources and environmental sustainability. In such a situation, expanding FinTech, optimizing natural resource consumption, and escalating green innovation can serve as potential solutionsfor enhancing environmental sustainability. This research looks into the intricate relationship among FinTech, natural resources, green innovation, and environmental sustainability in the panel data comprised of G7 and G11 economies by employing the Panel Smooth Transition Regression Model, which assists inscrutinizing the asymmetric or non-linear association among the variables under consideration. Findings reveal the pivotal role of FinTech, Natural Resource Rent, and Green Innovation in shaping sustainable environment across bothG7 and G11 economies. FinTech demonstrates a momentous and affirmativeimpression on ecological quality, promoting digital transactions and reducing paper-based processes, which, in turn, lessens deforestation and carbon emissions from paper production. FinTech also enhances financial inclusion and fosters investment in eco-friendly projects. Natural Resource Rent, in contrast, significantly leads to the decline of the environment through its extensive use, resulting in elevated carbon emissions. Finally, Green innovation exhibits a remarkable and positive influence on carbon emissions, facilitating the shift from carbon-intensive resources to eco-friendly alternatives, thus reducing pollution and improving air quality. These findings underscore the importance of adopting less-carbon-emitting technologies to achieve carbon neutrality goals in both G7 and G11 countries. The research provides valuable insights for policymakers and offers recommendations for a more sustainable future.