Digital financial inclusion(DFI)has the advantage of promoting information sharing,reducing transaction costs,and providing microloan platforms for small and medium-sized enterprises.It has also made outstanding contr...Digital financial inclusion(DFI)has the advantage of promoting information sharing,reducing transaction costs,and providing microloan platforms for small and medium-sized enterprises.It has also made outstanding contributions to decreasing CO_(2) emissions.However,the volatility correlation between DFI and CO_(2) emissions is still relatively unexplored.This research uses the spatial autoregressive process with conditional heteroscedastic errors(SARspARCH)model to evaluate the spatial fluctuation spillover impacts of DFI on CO_(2) emissions in 284 Chinese cities covering the period 2011-2016 following the IPAT model.The results indicate that CO_(2) emissions have significant spatial spillover and volatility effects.The fitted value of SARspARCH estimation results is more realistic than the SAR and spARCH model.DFI alleviates average CO_(2) emissions in Chinese cities.Moreover,spatial volatility weakens the negative influence of DFI on average carbon emissions.This study provides insights from which governments can strengthen inter-regional communication and synergistic emission-reduction capabilities,and promote the digitization of the financial sector to achieve carbon neutrality goals.展开更多
基金supported by the National Social Science Foundation of China(Grant No.20VGQ003)the Natural Science Fund of Hunan Province(2022JJ40647).
文摘Digital financial inclusion(DFI)has the advantage of promoting information sharing,reducing transaction costs,and providing microloan platforms for small and medium-sized enterprises.It has also made outstanding contributions to decreasing CO_(2) emissions.However,the volatility correlation between DFI and CO_(2) emissions is still relatively unexplored.This research uses the spatial autoregressive process with conditional heteroscedastic errors(SARspARCH)model to evaluate the spatial fluctuation spillover impacts of DFI on CO_(2) emissions in 284 Chinese cities covering the period 2011-2016 following the IPAT model.The results indicate that CO_(2) emissions have significant spatial spillover and volatility effects.The fitted value of SARspARCH estimation results is more realistic than the SAR and spARCH model.DFI alleviates average CO_(2) emissions in Chinese cities.Moreover,spatial volatility weakens the negative influence of DFI on average carbon emissions.This study provides insights from which governments can strengthen inter-regional communication and synergistic emission-reduction capabilities,and promote the digitization of the financial sector to achieve carbon neutrality goals.
