Advancing high-quality development in China: Unraveling the dynamics, disparities, and determinants of inclusive green growth at the prefecture level

• A novel conceptual framework for inclusive green growth (IGG) is proposed. • IGG is evaluated through the two-stage network SBM model and the coupling coordination degree model. • While urban IGG has generally exhibited an upward trend, significant potential for further enhancement remains. • New-type urbanization (NTU) and its components positively influence IGG, though the magnitude of this impact varies considerably across cities with different IGG levels. • The influence of NTU on IGG is dynamic over time and demonstrates significant spatial spillover effects. Inclusive green growth (IGG), which underscores the delicate balance between economic expansion, ecological sustainability, and social well-being, has garnered substantial scholarly attention. Despite China’s remarkable economic growth in recent decades, this rapid development has also given rise to significant social and environmental challenges. Thus, advancing IGG is pivotal for ensuring China’s transition toward high-quality, sustainable development. Here, a novel evaluation framework of IGG is established by incorporating the nexus between urban production and governance. Our approach combines a two-stage network SBM model with a coupling coordination degree model, allowing for a comprehensive assessment of IGG across 281 Chinese prefecture-level cities from 2006 to 2019. The spatiotemporal variations and regional disparities in IGG are analyzed using the Dagum Gini model. Furthermore, we employ a panel quantile model and a spatial panel regression model to explore the mechanisms through which new-type urbanization (NTU) and other socio-economic factors influence IGG, with particular attention to individual heterogeneity, temporal dynamics, and spatial spillover effects. The findings reveal that although urban IGG in China has generally trended upward, substantial potential for further improvement remains. High-IGG cities are concentrated in the eastern region, but the gap between cities is gradually narrowing. The panel quantile model demonstrates that NTU and its components positively influence urban IGG, though the impact varies considerably across cities with different IGG levels. Additionally, temporal heterogeneity and spatial econometric analyses indicate that the influence of NTU on IGG is dynamic and exhibits significant spatial spillover effects. The policy implications highlight the importance of tailored regional strategies to promote green technology adoption, industrial upgrading, and inclusive public services, particularly in underdeveloped regions.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2024-12-01
DOI
https://doi.org/10.1016/j.ecolind.2024.112898
Citations
11
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
12.42

Funders

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

Advancing high-quality development in China: Unraveling the dynamics, disparities, and determinants of inclusive green growth at the prefecture level

Fan Zhang, Yufei Ren, Bitian Zhang, Qunou Jiang et al.
11 citations
Ecological Indicators
Energy, Environment, Economic Growth
12.42
article

Advancing high-quality development in China: Unraveling the dynamics, disparities, and determinants of inclusive green growth at the prefecture level

Fan Zhang, Yufei Ren, Bitian Zhang, Qunou Jiang, Xuemei He
article en
11 citations

Abstract

• A novel conceptual framework for inclusive green growth (IGG) is proposed. • IGG is evaluated through the two-stage network SBM model and the coupling coordination degree model. • While urban IGG has generally exhibited an upward trend, significant potential for further enhancement remains. • New-type urbanization (NTU) and its components positively influence IGG, though the magnitude of this impact varies considerably across cities with different IGG levels. • The influence of NTU on IGG is dynamic over time and demonstrates significant spatial spillover effects. Inclusive green growth (IGG), which underscores the delicate balance between economic expansion, ecological sustainability, and social well-being, has garnered substantial scholarly attention. Despite China’s remarkable economic growth in recent decades, this rapid development has also given rise to significant social and environmental challenges. Thus, advancing IGG is pivotal for ensuring China’s transition toward high-quality, sustainable development. Here, a novel evaluation framework of IGG is established by incorporating the nexus between urban production and governance. Our approach combines a two-stage network SBM model with a coupling coordination degree model, allowing for a comprehensive assessment of IGG across 281 Chinese prefecture-level cities from 2006 to 2019. The spatiotemporal variations and regional disparities in IGG are analyzed using the Dagum Gini model. Furthermore, we employ a panel quantile model and a spatial panel regression model to explore the mechanisms through which new-type urbanization (NTU) and other socio-economic factors influence IGG, with particular attention to individual heterogeneity, temporal dynamics, and spatial spillover effects. The findings reveal that although urban IGG in China has generally trended upward, substantial potential for further improvement remains. High-IGG cities are concentrated in the eastern region, but the gap between cities is gradually narrowing. The panel quantile model demonstrates that NTU and its components positively influence urban IGG, though the impact varies considerably across cities with different IGG levels. Additionally, temporal heterogeneity and spatial econometric analyses indicate that the influence of NTU on IGG is dynamic and exhibits significant spatial spillover effects. The policy implications highlight the importance of tailored regional strategies to promote green technology adoption, industrial upgrading, and inclusive public services, particularly in underdeveloped regions.

Ecological IndicatorsVol. 169
Beijing Forestry University (CN), Policy Research Center for Environment and Economy (CN)
Hebei Provincial Postdoctoral Science Foundation, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 2%
Energy, Environment, Economic Growth
12.42
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.