Spatio-Temporal Influencing Factors of the Coupling Coordination Degree Between China’s New-Type Urbanization and Transportation Carbon Emission Efficiency

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 623 - 623

Published: March 15, 2025

This study focuses on the coupling and coordination between China’s new-type urbanization (NU) transportation carbon emission efficiency (CET), revealing its spatial temporal evolution patterns driving factors. In recent years, rapid rise of digital economy has profoundly reshaped traditional industrial structures. It catalyzed new forms production consumption opened up pathways for reduction. makes synergies NU CET increasingly important realizing a low-carbon transition. addition, infrastructures such as 5G networks big data platforms promote energy facilitate upgrading. also promotes integration goals into urban governance, thus strengthening linkages CET. The aims to provide scientific basis regional synergistic development green transformation goal “dual carbon”. Based panel 30 provinces in China from 2004 2021, adopts entropy weight method super-efficiency SBM model quantify CET, then analyzes their interactions spillovers by combining coupled degree Durbin model. following is found: (1) show pattern “leading east lagging west”, are optimized over time, but with significant differences; (2) jumps “basic disorder” coordination”, not yet reached level advanced coordination, clustering characteristics (Moran’s I index 0.244 0.461); (3) labor force structure, intensity, structure technological innovation core factors have spillover effects, while government intervention per capita income limited roles. paper innovatively reveals two-way mechanism breaks through unidirectional research framework, systematically feedback effect two. A multidimensional evaluation system constructed overcome limitations previous single economic or demographic dimension, comprehensively portray comprehensive urbanization. multi-dimensional measurement framework proposed law perspective spatio-temporal dynamics correlation. paths key finally quantified. findings decision-making references optimizing policies, promoting transportation, taking advantage economy.

Language: Английский

An Analysis of the Spatial–Temporal Evolution and Influencing Factors of the Coupling Coordination Degree Between the Digital and Real Economies in China

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3384 - 3384

Published: April 10, 2025

The digital economy (DE) and real (RE) are dual pillars of the modern economic system. deep integration (IDR) has emerged as a pivotal strategic trend. IDR not only can enhance international competitiveness but also contributes to sustainable development goals. This work collects DE RE data from 30 provinces in China between 2012 2022. entropy weight method coupling coordination degree (CCD) model employed measure level IDR. Furthermore, Dagum Gini coefficient, Kernel density estimation, spatial autocorrelation model, geographically temporally weighted regression (GTWR) utilized analyze spatial–temporal evolution influencing factors CCD. following conclusions drawn: (1) During study period, CCD shows an upward trend, value is relatively low. (2) There significant differences CCD, inter-regional difference primary cause. (3) regional continuously widening. (4) obvious global agglomeration feature, been enhanced (5) policy intensity, infrastructure, industrial structure, human capital, technological innovation, market environment have impacts on obtained findings provide important theoretical support for coordinated RE.

Language: Английский