RESUMO
Digital financing is an emerging source after COVID-19 to address novel problems of economies and different industries. With the growing concern about the sustainability of the global environment, developing countries are now moving toward unprecedented economic development. This research analyzes the impact of digital finance and economic growth on environmental sustainability in China from 1995 to 2020, focusing on natural resource management. To include asymmetric patterns and handle socioeconomic shocks during the last three decades, the research uses the cutting-edge ordinary least square (O.L.S.) methodology. The O.L.S. helps the research findings and illustrated patterns of ecological sustainability dependency across various data distributions. According to the empirical results, N.R., F.D.P., and G.D.P. all benefited from carbon emissions at higher and lower emissions quantiles. Green technology innovation, on the other hand, considerably reduces emissions across all quantiles. Notably, the effect of each repressor significantly changed for lower, medium, and higher emissions quantiles, showing a thorough understanding of China's resource scarcity and sustainable growth.
