Future Transportation, Год журнала: 2025, Номер 5(2), С. 40 - 40

Опубликована: Апрель 1, 2025

Accurately characterizing the structural features of spatial correlation network comprehensive transportation green efficiency (CTGE) is essential for achieving balanced regional development and eliminating disparities. This study employs slacks-based measure-data envelopment analysis (SBM-DEA) model to assess CTGE China. Furthermore, standard deviational ellipse (SDE) social (SNA) method are adopted delineate spatiotemporal evolution patterns characteristics CTGE, based on input–output data from industry across 30 provinces (municipalities autonomous regions) between 2003 2020. The findings reveal that China’s exhibits a fluctuating trend an initial decline followed by subsequent increase, with national average 0.555 0.722 in eastern regions, 0.434 central 0.478 western regions. demonstrates maintains overall low level while showing significant center gravity has shifted southwestern northeastern trajectory, generally concentrated distribution pattern. distinct “core-edge” hierarchical structure, regions occupying varied roles statuses within network. positioned at periphery, predominantly receiving spillover effects other region, driven its strong effect, serves as network’s “engine”. most contribution this lies developing more evaluation framework precisely identifying positions functional different network, which holds substantial theoretical practical value advancing sustainable sector.

Язык: Английский