Sustainability, Год журнала: 2025, Номер 17(7), С. 2839 - 2839

Опубликована: Март 22, 2025

While existing research has focused on logistics carbon emissions, understanding spatiotemporal emission cost dynamics and drivers remains limited. This study bridges three gaps through methodological advances: (1) Applying the Non-Radial Directional Distance Function (NDDF) to measure Marginal Carbon Abatement Costs (MCAC), overcoming traditional Data Envelopment Analysis (DEA) model’s proportional adjustment constraints for provincial heterogeneity; (2) Pioneering dual-dimensional MCAC analysis integrating temporal trends (2013–2022) with spatial autocorrelation; (3) Developing a Durbin error model time-fixed effects capturing direct/indirect impacts of innovation infrastructure. Based data from 2013–2022, our findings demonstrate U-shaped trajectory index fluctuating between 0.3483 0.4655, alongside significant heterogeneity following an Eastern > Central Northeastern Western pattern. The identification persistent high-high/low-low clusters local Moran’s I provides new evidence dependence in reduction costs, these polarized consistently comprising 70% Chinese cities throughout period. Notably, econometric results reveal that foreign investment infrastructure exert competitive spillover effects, paradoxically increasing neighboring regions’ MCAC, previously undocumented phenomenon sustainability literature. These advancements empirical insights establish novel framework allocation planning.

Язык: Английский