Spatiotemporal heterogeneity of the ecological civilization in the Yangtze River economic belt

• Novel GA-DM method enhances weight calculation for ecological civilization Progress. • ECPI index evaluates ecological civilization progress in YREB cities from multiple dimensions. • ECPI and coupling coordination degree show “higher in the east, lower in the west” pattern. • Multi-scale analysis elucidates causes of ecological civilization progress disparities in the YREB. The pursuit of the ecological civilization embodies the strategy of China for sustainable development and the harmonious coexistence of humans and nature. The Yangtze River Economic Belt (YREB) serves as a critical region for this initiative. Although prior studies have assessed spatiotemporal differentiation and subsystem coordination in the ecological civilization development process in the YREB, revealing regional trends, municipal-scale dynamics and heterogeneity in development patterns remain underexplored. In this study, 118 YREB cities are explored, and a novel weight calculation method that combines a genetic algorithm with a dynamic deviation maximization model (GA-DM) is introduced to ensure objectivity. The ecological civilization progress index (ECPI) is established on the basis of Multicriteria Decision-Making (MCDM) theory, and a three-dimensional indicator system covering environmental, economic, and social dimensions is applied. The system incorporates remote sensing data, including net primary productivity, nighttime light index, and greenhouse gas emission data, to address traditional data limitations. The Getis-Ord Gi*, coupling coordination degree, and RFA-SHAP methods are applied to examine spatiotemporal differentiation, coupling coordination trends, and key influencing factors from 2013 to 2022. The results revealed that (1) the ECPI increased significantly, but the growth rates fluctuated and declined over time, revealing a “higher in the east, lower in the west” pattern, with a widening east-west gap; (2) the coupling coordination levels improved, with narrowing regional disparities, although these levels lagged in southwestern border cities; (3) the key factors influencing ecological civilization development in the YREB were initially led by economic subsystem, with this influence diminishing as the social subsystem gained strength and the environmental subsystem remained weak; and (4) primary drivers of ecological civilization progress in cities evolved distinctly, with shifts toward economy-environment-driven factors in eastern economic cities, mixed-type factors in central cities, and environment-driven factors in western cities, revealing pronounced regional heterogeneity. These drivers exhibit varied temporal and spatial impacts across the YREB. These findings reveal key influencing factors and regional disparities, providing a basis for formulating differentiated policies.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2025-06-27
DOI
https://doi.org/10.1016/j.ecolind.2025.113808
Citations
7
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
7.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal heterogeneity of the ecological civilization in the Yangtze River economic belt

Qing Lü, Li Ma, Huiyuan Zhang, Xiaojie Meng
7 citations
Ecological Indicators
Land Use and Ecosystem Services
7.74
article

Spatiotemporal heterogeneity of the ecological civilization in the Yangtze River economic belt

Qing Lü, Li Ma, Huiyuan Zhang, Xiaojie Meng
article en
7 citations

Abstract

• Novel GA-DM method enhances weight calculation for ecological civilization Progress. • ECPI index evaluates ecological civilization progress in YREB cities from multiple dimensions. • ECPI and coupling coordination degree show “higher in the east, lower in the west” pattern. • Multi-scale analysis elucidates causes of ecological civilization progress disparities in the YREB. The pursuit of the ecological civilization embodies the strategy of China for sustainable development and the harmonious coexistence of humans and nature. The Yangtze River Economic Belt (YREB) serves as a critical region for this initiative. Although prior studies have assessed spatiotemporal differentiation and subsystem coordination in the ecological civilization development process in the YREB, revealing regional trends, municipal-scale dynamics and heterogeneity in development patterns remain underexplored. In this study, 118 YREB cities are explored, and a novel weight calculation method that combines a genetic algorithm with a dynamic deviation maximization model (GA-DM) is introduced to ensure objectivity. The ecological civilization progress index (ECPI) is established on the basis of Multicriteria Decision-Making (MCDM) theory, and a three-dimensional indicator system covering environmental, economic, and social dimensions is applied. The system incorporates remote sensing data, including net primary productivity, nighttime light index, and greenhouse gas emission data, to address traditional data limitations. The Getis-Ord Gi*, coupling coordination degree, and RFA-SHAP methods are applied to examine spatiotemporal differentiation, coupling coordination trends, and key influencing factors from 2013 to 2022. The results revealed that (1) the ECPI increased significantly, but the growth rates fluctuated and declined over time, revealing a “higher in the east, lower in the west” pattern, with a widening east-west gap; (2) the coupling coordination levels improved, with narrowing regional disparities, although these levels lagged in southwestern border cities; (3) the key factors influencing ecological civilization development in the YREB were initially led by economic subsystem, with this influence diminishing as the social subsystem gained strength and the environmental subsystem remained weak; and (4) primary drivers of ecological civilization progress in cities evolved distinctly, with shifts toward economy-environment-driven factors in eastern economic cities, mixed-type factors in central cities, and environment-driven factors in western cities, revealing pronounced regional heterogeneity. These drivers exhibit varied temporal and spatial impacts across the YREB. These findings reveal key influencing factors and regional disparities, providing a basis for formulating differentiated policies.

Ecological IndicatorsVol. 177
Chinese Research Academy of Environmental Sciences (CN)
Openalex Percentile: Top 2%
Land Use and Ecosystem Services
7.74
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.