Evaluation of marine ecological civilization construction and its spatial correlation network in China’s coastal province from the perspective of land-sea coordination DOI Creative Commons
Kun Gao,

Lianghong Yu

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Nov. 28, 2024

The marine ecological civilization construction (MECC) plays an indispensable role in the development of China. With growth economy, threats to environment have been increasing. From standpoint land-sea coordination, this study evaluates MECC China's coastal province and employs social network analysis explore spatial correlation structure radiation capacity. results show that: (1) provinces has exhibited a general upward trend with occasional fluctuations. However, subsystems exhibit disparate developmental trends, pressure subsystem exhibiting slight decline. (2) While all increased, exhibits considerable variation, each facing different challenges. (3) correlations among become increasingly pronounced, particularly regions surrounding Hangzhou Bay Bohai Bay, while long-distance trans-regional are relatively weaker. (4) There notable improvements capacity provinces, most prominently Shanghai, Zhejiang, Jiangsu, Shandong, which currently rank highest country. Conversely, Liaoning, Hebei, Fujian, Hainan remains underdeveloped. indicate that developed, it still encounters obstacles pertaining regional disparities, challenges, development. concludes series recommendations aimed at fostering sustainable regions.

Language: Английский

Structural characteristics and influencing factors of agricultural carbon emissions spatial correlation network: evidence from Shandong Province DOI Creative Commons

Mengwen Shan,

Min Ji, Fengxiang Jin

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: April 2, 2025

Introduction With the development of agricultural industry clustering and scale expansion, carbon emissions (ACEs) have gradually formed a spatial association network. Clarifying correlation network (ACESCN) its influencing factors in Shandong Province is crucial for advancing low-carbon development. Methods Based on ACE 16 cities Province, this study uses Social Network Analysis (SNA) Quadratic Assignment Procedure (QAP) to investigate spillover effects driving ACESCN from 2010 2022. Results discussion The findings show that following: (1) overall, has shown trend initially increasing then decreasing. (2) improved both connectivity robustness, forming structure centered around Weifang, Jinan, Tai’an. However, degree remains relatively loose, indicating needs optimization. Within network, there are significant agglomeration effects. (3) Geographical proximity, economic level, industrial structure, opening-up impact correlation. Therefore, suggests associations should be fully utilized enhance cross-regional production interactions cooperation. This approach will help form rational providing scientific basis achieve regional coordinated emission reductions.

Language: Английский

Citations

0
Digital economy spillover on energy saving and emission reduction: Evidence from China DOI
Chengyou Li,

Chunji Zheng,

Mengxun Liu

et al.

Energy, Journal Year: 2024, Volume and Issue: 308, P. 133055 - 133055

Published: Aug. 30, 2024

Language: Английский

Citations

4
Teleconnections detection of land use carbon emissions beyond geographical proximity promotes the construction of cross-city networks DOI Creative Commons
Lei Shen,

Yinghong Jiang,

Duanqiang Zhai

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113092 - 113092

Published: Jan. 1, 2025

Language: Английский

Citations

0
Carbon footprints embodied in the value chain of multinational enterprises in the Information and Communication Technology sector DOI
Rong Yuan, Tianhao Ma, Yi Jin

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135278 - 135278

Published: Feb. 1, 2025

Language: Английский

Citations

0
Driving effect of fintech on firm green innovation in China’s strategic emerging industries: the mediating role of digital transformation DOI

Hong Chen,

Shangui Hu, Yuqing Cai

et al.

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 96, P. 103613 - 103613

Published: Sept. 6, 2024

Language: Английский

Citations

3
Carbon footprint of household meat consumption in China: A life-cycle-based perspective DOI
Hua Li,

Shanqi Hu,

Helong Tong

et al.

Applied Geography, Journal Year: 2024, Volume and Issue: 169, P. 103325 - 103325

Published: June 26, 2024

Language: Английский

Citations

2
The Driving Effect of Digital Economy on Interregional Collaborative Governance of Carbon Reduction: A Case Study of the Beijing-Tianjin-Hebei Region DOI Creative Commons
Kangkang Zhang

Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100416 - 100416

Published: Dec. 1, 2024

Language: Английский

Citations

1
Evaluation of marine ecological civilization construction and its spatial correlation network in China’s coastal province from the perspective of land-sea coordination DOI Creative Commons
Kun Gao,

Lianghong Yu

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Nov. 28, 2024

The marine ecological civilization construction (MECC) plays an indispensable role in the development of China. With growth economy, threats to environment have been increasing. From standpoint land-sea coordination, this study evaluates MECC China's coastal province and employs social network analysis explore spatial correlation structure radiation capacity. results show that: (1) provinces has exhibited a general upward trend with occasional fluctuations. However, subsystems exhibit disparate developmental trends, pressure subsystem exhibiting slight decline. (2) While all increased, exhibits considerable variation, each facing different challenges. (3) correlations among become increasingly pronounced, particularly regions surrounding Hangzhou Bay Bohai Bay, while long-distance trans-regional are relatively weaker. (4) There notable improvements capacity provinces, most prominently Shanghai, Zhejiang, Jiangsu, Shandong, which currently rank highest country. Conversely, Liaoning, Hebei, Fujian, Hainan remains underdeveloped. indicate that developed, it still encounters obstacles pertaining regional disparities, challenges, development. concludes series recommendations aimed at fostering sustainable regions.

Language: Английский

Citations

0