Sustainable environment, energy and finance in China: Evidence from dynamic modelling using carbon emissions and ecological footprints

This study investigates sustainable finance along with sustainable economic factors on both carbon emissions and ecological footprints in China. A novel Dynamic Autoregressive Distributed Lag technique is applied, results revealed sustainable finance exerts positive/negative influence on carbon emissions in the long- and short-run, respectively. Results are robust with ecological footprints that sustainable finance placed a lucrative cause to preserve the environment. Sustainable economic factors show a positive impact on carbon emissions in the long run, while economic growth, energy consumption, and exports improve environmental quality. Conversely, in the short run, urbanization supports the environment while economic development, energy use, and exports exert a positive impact. In addition, this study suggests useful policy implications for the stakeholders.