New Urbanization and Low-Carbon Energy Transition in China: Coupling Coordination, Spatial–Temporal Differentiation, and Spatial Effects

New urbanization (NU) and low-carbon energy transition (LCET) are important issues of Chinese-style modernization, with the necessity and possibility of coordinated development. By using panel data for 30 provinces from 2013 to 2022, this paper adopted the entropy method, principal component analysis, and coupled coordination model to evaluate the coupled coordination degree (CCD) of NU and LCET, and applied the Dagum Gini coefficient, kernel density estimation, and spatial Durbin model to reveal the regional differences and spatial effects of coupled coordination. Research found that the comprehensive levels of NU and LCET exhibit growing trends, with regional variations. The overall coupling coordination index steadily increased, accompanied by polarization. The intra-regional disparities are biggest in the west and smallest in the central region, while the inter-regional differences (except the central and northeast) show narrowing trends. The coupling coordination level shows a positive spillover effect. As for influencing factors, the levels of economic development, social consumption, energy consumption, and R&D intensity have an inhibitory effect on neighboring regions, while digital economy and environmental regulation intensity have a positive spatial spillover effect on neighboring provinces. Finally, countermeasures are proposed to promote the coordinated development of the two systems.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-04-09
DOI
https://doi.org/10.3390/su17083352
Citations
4
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
12.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New Urbanization and Low-Carbon Energy Transition in China: Coupling Coordination, Spatial–Temporal Differentiation, and Spatial Effects

Xin Wen, Xinchun Cao, Liangyuan Hao Pei Wang, Jiaxin Wen et al.
4 citations
Sustainability
Energy, Environment, Economic Growth
12.52
article

New Urbanization and Low-Carbon Energy Transition in China: Coupling Coordination, Spatial–Temporal Differentiation, and Spatial Effects

Xin Wen, Xinchun Cao, Liangyuan Hao Pei Wang, Jiaxin Wen, Z. Yu
article en
4 citations

Abstract

New urbanization (NU) and low-carbon energy transition (LCET) are important issues of Chinese-style modernization, with the necessity and possibility of coordinated development. By using panel data for 30 provinces from 2013 to 2022, this paper adopted the entropy method, principal component analysis, and coupled coordination model to evaluate the coupled coordination degree (CCD) of NU and LCET, and applied the Dagum Gini coefficient, kernel density estimation, and spatial Durbin model to reveal the regional differences and spatial effects of coupled coordination. Research found that the comprehensive levels of NU and LCET exhibit growing trends, with regional variations. The overall coupling coordination index steadily increased, accompanied by polarization. The intra-regional disparities are biggest in the west and smallest in the central region, while the inter-regional differences (except the central and northeast) show narrowing trends. The coupling coordination level shows a positive spillover effect. As for influencing factors, the levels of economic development, social consumption, energy consumption, and R&D intensity have an inhibitory effect on neighboring regions, while digital economy and environmental regulation intensity have a positive spatial spillover effect on neighboring provinces. Finally, countermeasures are proposed to promote the coordinated development of the two systems.

SustainabilityVol. 17(8)
Southwest Petroleum University (CN), National Institute of Clean and Low-Carbon Energy (CN)
National Social Science Fund of China
Openalex Percentile: Top 2%
Energy, Environment, Economic Growth
12.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

New Urbanization and Low-Carbon Energy Transition in China: Coupling Coordination, Spatial–Temporal Differentiation, and Spatial Effects — Xin Wen, Xinchun Cao, et al. · Sustainability (2025) | TGRS Research Map | TGRS