Spatial Network Analysis of Coupling Coordination between Digital Financial Inclusion and Common Prosperity in the Yangtze River Delta Urban Agglomeration DOI Creative Commons

Fanlong Zeng,

Huaping Sun

Mathematics, Год журнала: 2024, Номер 12(9), С. 1285 - 1285

Опубликована: Апрель 24, 2024

Digital financial inclusion and common prosperity are pivotal elements in promoting the sustainable socioeconomic development of China. This study introduces a novel Multi-Criteria Decision Analysis (MCDA) method to evaluate Common Prosperity Index (CPI). Using this index, alongside Financial Inclusion (DFII) released by Peking University, it examines evolution coupling coordination relationship between digital within Yangtze River Delta (YRD) urban agglomeration from 2011 2021. By integrating gravity models social network analysis, paper, we thoroughly investigate spatiotemporal characteristics spatial relationship. The results indicate that both DFII CPI generally exhibit an upward trend, but decline degree reflects weakened interaction strength them. Specifically, Anhui significantly lags behind Jiangsu, Zhejiang, Shanghai prosperity, indicating regional imbalances. Furthermore, connections city has increased, with Nanjing’s siphon effect on cities becoming markedly stronger, number core increasing, which demonstrates geographical proximity feature development. Additionally, overall transitioning towards higher density “small-world” properties, suggesting trend toward stabilization. disparity centrality among decreased, enhancement centrality, where spillover effects areas such as Hangzhou-Ningbo, Nanjing-Changzhou, Shanghai-Suzhou-Wuxi promote peripheral cities. Based these findings, paper proposes policy recommendations for YRD region.

Язык: Английский

How does new-type urbanization promote green development efficiency in China? The mediating role of governments, enterprises, and residents DOI Creative Commons
Haitao Ma, Kewen Wang, Chuanglin Fang

и другие.

Geography and sustainability, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

6

Anti-trust law, financing advantage and common prosperity within firms DOI
Yan Shen,

Chunxiao Mao,

Wanrong Ma

и другие.

Finance research letters, Год журнала: 2024, Номер 63, С. 105402 - 105402

Опубликована: Апрель 11, 2024

Язык: Английский

Процитировано

5

How does digital inclusive finance affect common prosperity: Empirical evidence from China's underdeveloped and developed regions DOI
Yarong Shi, Bei Du, Bo Yang

и другие.

Cities, Год журнала: 2024, Номер 158, С. 105640 - 105640

Опубликована: Дек. 10, 2024

Язык: Английский

Процитировано

5

Low-carbon transition paths and benefits for the power sector at city level: A case study in Zhengzhou, China DOI

Junhui Wen,

Shuai Wang,

Shijie Yu

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 450, С. 141852 - 141852

Опубликована: Март 20, 2024

Язык: Английский

Процитировано

4

Spatial Network Analysis of Coupling Coordination between Digital Financial Inclusion and Common Prosperity in the Yangtze River Delta Urban Agglomeration DOI Creative Commons

Fanlong Zeng,

Huaping Sun

Mathematics, Год журнала: 2024, Номер 12(9), С. 1285 - 1285

Опубликована: Апрель 24, 2024

Digital financial inclusion and common prosperity are pivotal elements in promoting the sustainable socioeconomic development of China. This study introduces a novel Multi-Criteria Decision Analysis (MCDA) method to evaluate Common Prosperity Index (CPI). Using this index, alongside Financial Inclusion (DFII) released by Peking University, it examines evolution coupling coordination relationship between digital within Yangtze River Delta (YRD) urban agglomeration from 2011 2021. By integrating gravity models social network analysis, paper, we thoroughly investigate spatiotemporal characteristics spatial relationship. The results indicate that both DFII CPI generally exhibit an upward trend, but decline degree reflects weakened interaction strength them. Specifically, Anhui significantly lags behind Jiangsu, Zhejiang, Shanghai prosperity, indicating regional imbalances. Furthermore, connections city has increased, with Nanjing’s siphon effect on cities becoming markedly stronger, number core increasing, which demonstrates geographical proximity feature development. Additionally, overall transitioning towards higher density “small-world” properties, suggesting trend toward stabilization. disparity centrality among decreased, enhancement centrality, where spillover effects areas such as Hangzhou-Ningbo, Nanjing-Changzhou, Shanghai-Suzhou-Wuxi promote peripheral cities. Based these findings, paper proposes policy recommendations for YRD region.

Язык: Английский

Процитировано

4