Evaluation of urban resilience in the post-COVID-19 period: A case study of the Yangtze delta city group in China DOI
Yaru Cheng, Jinhua Liu

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 97, С. 104028 - 104028

Опубликована: Окт. 1, 2023

Язык: Английский

Spatial correlation network of pollution and carbon emission reductions coupled with high-quality economic development in three Chinese urban agglomerations DOI
Xiaolong Chen,

Qianbin Di,

Wenhan Jia

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 94, С. 104552 - 104552

Опубликована: Март 22, 2023

Язык: Английский

Процитировано

120

How does regional integration policy affect urban resilience? Evidence from urban agglomeration in China DOI Open Access
Nana Jiang, Wei Jiang

Environmental Impact Assessment Review, Год журнала: 2023, Номер 104, С. 107298 - 107298

Опубликована: Окт. 2, 2023

Язык: Английский

Процитировано

50

Urban green innovation's spatial association networks in China and their mechanisms DOI
Shumin Dong,

Guixiu Ren,

Yuting Xue

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 93, С. 104536 - 104536

Опубликована: Март 15, 2023

Язык: Английский

Процитировано

45

Urban economic resilience within the Yangtze River Delta urban agglomeration: Exploring spatially correlated network and spatial heterogeneity DOI
Xiaodong Yang, Huili Li, Jiayu Zhang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 103, С. 105270 - 105270

Опубликована: Фев. 9, 2024

Язык: Английский

Процитировано

29

Digital economy development boosts urban resilience—evidence from China DOI Creative Commons
Haohui Wang, Gang Peng,

Hongmei Du

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 5, 2024

Abstract Focusing on the impact of digital economy urban resilience is beneficial to sustainable development cities. This paper empirically examines economic and its mechanisms by measuring level with entropy-weighted TOPSIS method using data 252 Chinese cities from 2011 2020. The findings show that effectively promotes at 1% significance level, this conclusion remains valid after a series endogeneity robustness tests. channel mechanism suggests can improve optimizing distributional effects promoting upgrading industrial structures. discusses nonlinear relationship between two MMQR model threshold model. results in higher quartile cities, has greater improvement. Meanwhile, there are values for resilience, which 0.026 0.082, respectively. Further, spatial effect also verified. From perspective heterogeneity analysis, high-class key city clusters, eastern western regions resilience. study provide ideas inspiration countries enhance promote through economy.

Язык: Английский

Процитировано

23

Evaluation analysis and strategy selection in urban flood resilience based on EWM-TOPSIS method and graph model DOI
Juan Ji, Dayong Wang

Journal of Cleaner Production, Год журнала: 2023, Номер 425, С. 138955 - 138955

Опубликована: Сен. 25, 2023

Язык: Английский

Процитировано

42

Spatial-temporal evolution mechanism and dynamic simulation of the urban resilience system of the Guangdong-Hong Kong-Macao Greater Bay Area in China DOI
Huihui Wang,

Hanyu Xue,

Wanlin He

и другие.

Environmental Impact Assessment Review, Год журнала: 2023, Номер 104, С. 107333 - 107333

Опубликована: Окт. 24, 2023

Язык: Английский

Процитировано

26

Identifying and optimizing ecological security patterns from the perspective of the water-energy-food nexus DOI
Tonghui Ding, Junfei Chen, Liping Fang

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 632, С. 130912 - 130912

Опубликована: Фев. 15, 2024

Язык: Английский

Процитировано

17

Spatial correlation network characteristics and influencing factors of water environmental efficiency in three major urban agglomerations in the Yangtze River Basin, China DOI
Zhigang Li, Keyao Yu, Jialong Zhong

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105311 - 105311

Опубликована: Фев. 27, 2024

Язык: Английский

Процитировано

15

The Coupling Coordination and Influencing Factors of Urbanization and Ecological Resilience in the Yangtze River Delta Urban Agglomeration, China DOI Creative Commons

Qiaoli Chang,

Yuying Sha,

Yi Chen

и другие.

Land, Год журнала: 2024, Номер 13(1), С. 111 - 111

Опубликована: Янв. 19, 2024

Twenty-six cities in the Yangtze River Delta urban agglomeration were taken as research object, and this study comprehensively evaluated urbanization quality ecological resilience from 2005 to 2020. On basis, spatiotemporal evolution characteristics main influencing factors of coupling relationship between systematically explored using a coordination model panel Tobit regression model. The results can be summarized follows: (1) 2020, continued grow, level grew slowly fluctuated, development among municipalities tended balanced. (2) overall degree showed continuous increasing trend, type changed basic good coordination. number with lagging decreased significantly; spatially, gap narrowed, gradually clustered. (3) that differences spatial mainly resulted interaction drivers such real utilized foreign capital, per capita GDP, carbon emission intensity, proportion science technology expenditure fiscal expenditure, ratio disposable income rural residents, fixed asset investment municipal utility construction, index land area ratio. In future, should improved based on according local conditions, seven carefully examined accelerate high-quality integrated Delta.

Язык: Английский

Процитировано

14