The Global Trade Network Pattern and Robustness of Electric Vehicles from the Perspective of Supply Chain DOI
Yongli Zhang,

Ting Gong

Опубликована: Янв. 1, 2024

Язык: Английский

Structure and evolution of global lead trade network: An industrial chain perspective DOI
Wei Chen, Jianing Zhang, Zhaoyuan Yu

и другие.

Resources Policy, Год журнала: 2024, Номер 90, С. 104735 - 104735

Опубликована: Фев. 8, 2024

Язык: Английский

Процитировано

8
Navigating the rare earth elements landscape: Challenges, innovations, and sustainability DOI

Hongli Diao,

Hang Yang,

Tan Tan

и другие.

Minerals Engineering, Год журнала: 2024, Номер 216, С. 108889 - 108889

Опубликована: Авг. 7, 2024

Язык: Английский

Процитировано

6
European LNG Import Network Analysis and Investigation of Supply Security DOI Creative Commons

Konstantinos I. Savvakis,

Tatiana P. Moschovou

Energies, Год журнала: 2025, Номер 18(3), С. 634 - 634

Опубликована: Янв. 30, 2025

The shift of European countries to more environmentally friendly sources energy is leading an increase in the share natural gas mix. At same time, flexibility and cost-effectiveness maritime transport are making liquefied (LNG) competitive compared traditional forms gas, despite recent geopolitical, health economic events threatening its supply chain. aim this study analyze LNG import network using theory indicators identify trading communities investigate security through failure simulation. model was developed a programming code MATLAB R2022B software. results analysis can be summarized as follows: (a) center gravity trade from Mediterranean Atlantic shores identified; (b) gradual consolidation Europe’s noted; (c) increasing dependence Europe on limited number observed; (d) most critical nodes for resilience were identified modeling. Based these findings, recommendations proposed strengthen independence.

Язык: Английский

Процитировано

0
Going with the flow: How does global energy value chain adapt to geopolitical risks? DOI Creative Commons
Rabindra Nepal,

Youyi Deng,

Kangyin Dong

и другие.

Energy Economics, Год журнала: 2025, Номер unknown, С. 108288 - 108288

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
AI and Green Efficiency in Technological Innovation: A Two-Stage Analysis of Chinese Rare Earth Enterprises DOI Creative Commons
XU Xiao-feng,

Y.Q. Shi,

Xiaoli Xu

и другие.

Systems, Год журнала: 2025, Номер 13(3), С. 176 - 176

Опубликована: Март 4, 2025

As a scarce strategic resource, the efficient utilization of rare earth resources is crucial for ensuring national economic security and promoting sustainable development. AI, core engine Fourth Technological Revolution, provides favorable opportunity to drive green technological innovation. Green efficiency in innovation has not been adequately studied, relationship between era AI still unclear. Based on above research gap, this study employs slack-based measure model perform both static dynamic evaluations during technology development transformation phases eight listed Chinese enterprises from 2017 2021. This aims provide policy basis improving industry application industrial chain. The findings reveal following: (1) among these remains low phases, with pure technical being key factor contributing overall efficiency; (2) total productivity phase exhibits fluctuating upward trajectory while demonstrating general downward trend achievement phase; (3) significantly enhances phase, more pronounced impact compared phase. contributes existing literature by extending previous efficiency, particularly within context industry. empirical results offer valuable recommendations enhancing through integration.

Язык: Английский

Процитировано

0
The influence of bank-firm loan network structure on systemic risk: from the perspective of complex networks DOI Creative Commons

Zhengyong Li,

Deyin Fu, Haiting Li

и другие.

Frontiers in Physics, Год журнала: 2025, Номер 13

Опубликована: Март 17, 2025

The structure of the bank-firm loan network is crucial for understanding transmission systemic risk within banking system. Drawing on complex theory, this study analyzes data from 370 Chinese commercial banks spanning January 2013 to December 2023 construct a syndicated network, wherein different lend same enterprise. This analysis reveals how influences in sector across various periods. Our findings indicate that, long term, density and centralization significantly mitigate risk, whereas transitivity average clustering coefficients have positive effect risk. In short demonstrates strong mean-reverting properties. Additionally, we observe noteworthy phenomenon: relationships exhibit ‘core-periphery’ hierarchical structure, characterized by that both robust fragile. These insights offer novel perspective relationship between bank structures contributing interdisciplinary application physics economic financial studies.

Язык: Английский

Процитировано

0
Enhanced flotation separation of bastnaesite and monazite by suspension roasting: A study of flotation performance and mechanisms DOI

Linghui Zhang,

Wenbo Li, Shaokai Cheng

и другие.

Journal of Rare Earths, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Rare earth trade dependence network structure and its impact on trade prices: An industry chain perspective DOI
Qing Guo, Yiling Wang

Resources Policy, Год журнала: 2024, Номер 91, С. 104930 - 104930

Опубликована: Март 23, 2024

Язык: Английский

Процитировано

3
A compass for sustainability? Semiconductors, rare earths and CSR: the case of onsemi DOI Creative Commons
Andrea Gatto, Alina Cristina Nuţă

Mineral Economics, Год журнала: 2024, Номер unknown

Опубликована: Сен. 10, 2024

Язык: Английский

Процитировано

3
Mapping complexity: Analyzing rare earth production life cycle inventories with network analysis DOI
Ario Fahimi, Fu Zhao, Shweta Singh

и другие.

Resources Conservation and Recycling, Год журнала: 2024, Номер 211, С. 107894 - 107894

Опубликована: Авг. 31, 2024

Язык: Английский

Процитировано

2