County-Level Spatiotemporal Dynamics and Driving Mechanisms of Carbon Emissions in the Pearl River Delta Urban Agglomeration, China DOI Creative Commons
Fei Wang, Changjian Wang, Xiaojie Lin

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1829 - 1829

Published: Nov. 4, 2024

Encouraging cities to take the lead in achieving carbon peak and neutrality holds significant global implications for addressing climate change. However, existing studies primarily focus on urban scale, lacking more comprehensive county-level analyses, which hampers effective implementation of differentiated mitigation policies. Therefore, this study focused Pearl River Delta agglomeration China, adopting nighttime light data socio-economic spatial estimate emissions at county level. Furthermore, trend analysis, autocorrelation Geodetector were adopted elucidate spatiotemporal patterns influencing factors emissions. Carbon predominantly concentrated counties eastern bank Estuary. Since 2010, there has been a deceleration growth rate region around Estuary, with some exhibiting declining trends. Throughout period, construction land expansion consistently emerged as predominant factor driving emission growth. Additionally, foreign direct investment, urbanization, fixed asset investment each significantly contributed increased during different development periods.

Language: Английский

Research on carbon compensation zoning guided by major function zones: A case study of the Yangtze River Delta region DOI Creative Commons
Rui Shen, Yinan Yang,

Jialong Xu

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113383 - 113383

Published: March 28, 2025

Language: Английский

Citations

0
County-Level Spatiotemporal Dynamics and Driving Mechanisms of Carbon Emissions in the Pearl River Delta Urban Agglomeration, China DOI Creative Commons
Fei Wang, Changjian Wang, Xiaojie Lin

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1829 - 1829

Published: Nov. 4, 2024

Encouraging cities to take the lead in achieving carbon peak and neutrality holds significant global implications for addressing climate change. However, existing studies primarily focus on urban scale, lacking more comprehensive county-level analyses, which hampers effective implementation of differentiated mitigation policies. Therefore, this study focused Pearl River Delta agglomeration China, adopting nighttime light data socio-economic spatial estimate emissions at county level. Furthermore, trend analysis, autocorrelation Geodetector were adopted elucidate spatiotemporal patterns influencing factors emissions. Carbon predominantly concentrated counties eastern bank Estuary. Since 2010, there has been a deceleration growth rate region around Estuary, with some exhibiting declining trends. Throughout period, construction land expansion consistently emerged as predominant factor driving emission growth. Additionally, foreign direct investment, urbanization, fixed asset investment each significantly contributed increased during different development periods.

Language: Английский

Citations

0