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

The spatio-temporal interactions between rapid urbanization and multiple ecosystem services at the county scale in the Poyang Lake Basin

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 25, 2025

Language: Английский