Economic resilience of regions within the global supply network in the aftermath of disaster: A case study of Typhoon Mangkhut DOI
Zhixiao Zou, Changxiu Cheng, Zhilin Song

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105275 - 105275

Published: Feb. 1, 2025

Language: Английский

The effect of pilot climate-resilient city policies on urban climate resilience: Evidence from quasi-natural experiments DOI
Di Wang, Chen Shi-wei

Cities, Journal Year: 2024, Volume and Issue: 153, P. 105316 - 105316

Published: July 31, 2024

Language: Английский

Citations

10
Dynamic evolution of urban resilience and its coupling mechanism with EF3D-driven natural capital utilization: Case study in three typical urban agglomerations of China DOI
Jing Li, Peng He, Yizhong Chen

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107518 - 107518

Published: April 24, 2024

Language: Английский

Citations

8
Synergies between the circular economy and carbon emission reduction DOI
Ning Wang,

Yubing Bai,

Zhanqiang Guo

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175603 - 175603

Published: Aug. 16, 2024

Language: Английский

Citations

8
Impact of financial reform on urban resilience: Evidence from the financial reform pilot zones in China DOI
Nana Jiang, Wei Jiang, Yanfei Wang

et al.

Socio-Economic Planning Sciences, Journal Year: 2024, Volume and Issue: 94, P. 101962 - 101962

Published: May 29, 2024

Language: Английский

Citations

7
Spatial and temporal variation of economic resilience and its drivers: Evidence from Chinese cities DOI Creative Commons
Huang Jie, Qianqian Li, Minzhe Du

et al.

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: Feb. 16, 2023

Based on panel data of 282 cities in China from 2005 to 2019, this paper constructs an economic resilience evaluation index system three dimensions and applies the entropy value method measure it. The two-stage nested Thiel index, kernel density estimation geographic detector methods are also used explore characteristics their spatial temporal divergence driving factors. We find that Chinese has increased rapidly over sample period, but with significant variation, intra-provincial variation being main source overall variation. Without considering conditions, a strong stability. In case factors have impact low resilience, not high resilience. Differences technological innovation capabilities key driver cities. interaction any two enhances respective effects differentiation above findings, should actively targeted differentiated ways improve based comparative advantages, accelerate construction collaborative improvement mechanism for urban support China. Our findings provide useful reference promoting concerted

Language: Английский

Citations

15
Low-carbon economic resilience: The inequality embodied in inter-regional trade DOI Open Access
Pengfei Wang, Hongbo Li,

Zhenbin Huang

et al.

Cities, Journal Year: 2023, Volume and Issue: 144, P. 104646 - 104646

Published: Nov. 3, 2023

Language: Английский

Citations

13
Does digital transformation promote economic resilience? Urban-level evidence from China DOI Creative Commons
Zhiying Ji, Yu-Ting Huang

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e26461 - e26461

Published: Feb. 1, 2024

Improving economic resilience has become a regional development goal of policymakers. This study aims to investigate the effects digital transformation on urban and its underlying mechanisms. Based sample 287 prefecture-level cities in China, We find that helps improve resilience, which is robust different estimations, e.g., 2SLS staggered DID. Additionally, further analysis indicates improving efficiency stimulating level innovation associated with are likely be main mechanisms behind this effect. Our results reveal following several policy implications. Firstly, formulating policies develop technology promote application great significance for achieving sustainable resilient growth an increasingly uncertain environment. Secondly, government should focus promoting market-oriented reform, reducing intervention, protecting intellectual property rights, creating innovative environment maximize effect technology. Thirdly, during normal periods, accelerating digitalization process will balanced among urbans.

Language: Английский

Citations

5
A framework for urban resilience measurement and enhancement strategies: A case study in Qingdao, China DOI
Yuanyuan Ge,

W.H. Jia,

Hui Zhao

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 367, P. 122047 - 122047

Published: Aug. 2, 2024

Language: Английский

Citations

5
Predicting Neighborhood-Level Residential Carbon Emission from Street-view Images Using Computer Vision and Machine Learning DOI Open Access

Wanqi Shi,

Yeyu Xiang,

Yuxuan Ying

et al.

Published: Feb. 5, 2024

Measuring and predicting Carbon Emission (CE) is important to enabling the main culprit of various urgent environmental issues including global warming. However, prior studies did not fully incorporate impact micro-level urban streetscapes, which might lead biased prediction CE. To fill gap, we developed an effective framework predict residential CE in areas from widely existing publicly available street-view images (SVI) using machine learning. First, used a semantic segmentation algorithm classify more than 30 streetscape elements SVI describe built environment whose features affect transportation Second, based on streetscapes quantified, trained 10-fold cross-validation method with learning models at 1KM grid level data PlanetData. We found first, such as sidewalks, roads, fences, buildings, walls are significantly correlated presence buildings subtle (e.g., walls, fences) indicates higher-density related Third, vegetation trees grass) reversely Our findings shed light feasibility single open source (i.e., SVI) effectively model neighborhood-level for regions across diverse forms. useful planners inform new town development regeneration towards low goals.

Language: Английский

Citations

4
Exploring the Influence of the Digital Economy on Energy, Economic, and Environmental Resilience: A Multinational Study across Varied Carbon Emission Groups DOI Open Access

Azam Ghezelbash,

J. Jay Liu,

Seyed Hamed Fahimifard

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2993 - 2993

Published: April 3, 2024

Rapid advancements in digital technologies have accelerated global change, underscoring the critical role of resilience addressing escalating energy, economic, and environmental challenges. This paper investigates effects mechanisms economy on within context these By utilizing panel data from 66 countries spanning period 2000 to 2020, this analysis employs robust models incorporates tests such as Hausman Leamer tests, exploratory factor analysis. The results reveal a notable positive impact across various time periods. However, when it comes carbon emissions, more intricate pattern emerges, suggesting negative influence environmental, economic domains. Interestingly, with below-average emissions show due economy. On other hand, effect energy is less prominent carbon-emitting nations, while significant subgroup. Above-average experience limited resilience, face challenges impacting their resilience.

Language: Английский

Citations

4