
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Май 20, 2025
Carbon neutrality is a critical pathway to achieving sustainable future. Investigating the driving factors for carbon can provide empirical evidence support ecosystem protection. Prior studies used mean regression investigate neutrality, concealing heterogeneity of neutrality. In this paper, we introduce dynamic spatial Durbin quantile (DSDQR) model along with its estimation method, and derive marginal effect formulas independent variables at different quantiles. Then apply methodology examine impact mechanisms environmental governance pressure, economic growth, their interaction effects on performance using Chinese provincial data spanning 2011-2022. Key findings include: (1) Temporal, spatial, path dependencies in are prevalent across nearly all provinces. (2) Environmental pressure exhibits an inhibitory short-term provinces medium low quantiles, while it has positive long-term high (3) Economic growth generally hinders most However, exerts influence after COVID-19 pandemic. (4) The between demonstrates significant post-epidemic, yet negative Finally, article calls differentiated decarbonization strategies based development stages.
Язык: Английский