Research on the Structural Features and Influence Mechanism of the Low-Carbon Technology Cooperation Network Based on Temporal Exponential Random Graph Model DOI Open Access

Xiaoyi Shi,

Xiaoxia Huang,

Huifang Liu

и другие.

Sustainability, Год журнала: 2022, Номер 14(19), С. 12341 - 12341

Опубликована: Сен. 28, 2022

China actively promotes cross-regional low-carbon technology cooperation to improve technologies and remove technological barriers sustainable development. In this process, a network (LCTCN) has been developed evolved. To help rationalize the allocation of innovation resources promote exchange technologies, we measured LCTCN using co-patents from 2011 2020. We investigated changes in structure social analysis. addition, examined endogenous structures exogenous factors that influence formation relationships time exponential random graph model (TERGM). came following conclusions: (1) The develops toward complexity, showing prominent characteristics spatial imbalance, heterogeneity, core-periphery. (2) Among structural variables, coefficient geometrically weighted degree (Gwdegree) is significantly negative, suggesting regions within tend form partnerships with already well-connected regions. On other hand, positive dyad shared partner statistic (GWDSP) suggests link multiple ways each other. (3) digital economy positive. As result, for every level development region, probability establishing between region increases by 87.39%. (4) External openness geographical proximity can also facilitate partnerships. results combination variables.

Язык: Английский

Research on the spatiotemporal evolution characteristics and driving factors of the spatial connection network of carbon emissions in China: New evidence from 260 cities DOI

L H Wang,

Ming Zhang, Yan Song

и другие.

Energy, Год журнала: 2024, Номер 291, С. 130448 - 130448

Опубликована: Янв. 25, 2024

Язык: Английский

Процитировано

15

A comprehensive study on carbon emissions flows and key drivers within China's domestic and global value chains DOI

Anjing Wang,

Yu Liu, Bo Meng

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 916, С. 169894 - 169894

Опубликована: Янв. 8, 2024

Язык: Английский

Процитировано

11

The time-varying impact of geopolitical relations on rare earth trade networks: What is the role of China's rare earth export restrictions? DOI
Hongwei Zhang,

Hualin Cao,

Yaoqi Guo

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 206, С. 123550 - 123550

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

9

CO2 emissions and global value chains indicators:new evidence for 1995–2018 DOI Creative Commons
Adrián Espinosa‐Gracia, Miguel Ángel Almazán‐Gómez,

Sofía Jiménez

и другие.

Journal of Environmental Management, Год журнала: 2023, Номер 343, С. 118239 - 118239

Опубликована: Май 26, 2023

Globalization and the configuration of production processes around Global Value Chains (GVCs) have become key factors for explaining recent evolution environmental economic indicators. Indeed, previous research found evidence on significant impact GVCs indicators (participation position) CO2 emissions. Additionally, results obtained in literature vary depending time period geographical areas considered. In this context, main aims paper are to analyze role emissions, identify possible structural breaks. This study uses Multiregional Input-Output framework calculate a position indicator two different measures participation (interpreted either as trade openness or international competitiveness). The analysis useS Inter-Country tables (ICIO) database, which includes 66 countries 45 industries covers 1995-2018. It is first concluded that upstream positions associated lower global effect depends measure used: linked while higher competitiveness leads Finally, breaks identified 2002 2008, revealing subperiods, becomes from onwards. Thus, policies mitigate emissions might be before after 2008: currently, reductions can achieved by increasing value-added embodied decreasing volume transactions.

Язык: Английский

Процитировано

17

The structural change and determinants of global carbon footprint network embodied in international migration: A social network analysis DOI
Ying Li, Chen Jiang, Xiaofan Li

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 449, С. 141651 - 141651

Опубликована: Март 8, 2024

Язык: Английский

Процитировано

6

Global value chain and export-embodied carbon emissions: New evidence from foreign-invested enterprises DOI

Yunfeng Yan,

Xiyuan Li,

Ran Wang

и другие.

Economic Modelling, Год журнала: 2023, Номер 127, С. 106449 - 106449

Опубликована: Июль 20, 2023

Язык: Английский

Процитировано

16

Spatial correlation network pattern and evolution mechanism of natural gas consumption in China—Complex network-based ERGM model DOI
Yuanyuan Gong, Hui Sun, Zhi-Wei Wang

и другие.

Energy, Год журнала: 2023, Номер 285, С. 129400 - 129400

Опубликована: Ноя. 2, 2023

Язык: Английский

Процитировано

16

Analysis of spatial correlation networks of carbon emissions in emerging economies DOI
Degang Zhang,

Xuejing Yao

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(37), С. 87465 - 87482

Опубликована: Июль 8, 2023

Язык: Английский

Процитировано

13

Improving sustainable performance of China's new energy industry through collaborative innovation network resilience DOI
Qin Liu,

Ruming Chen,

Qian Yu

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 201, С. 114625 - 114625

Опубликована: Июнь 8, 2024

Язык: Английский

Процитировано

5

Embodied carbon emission flow network analysis of the global nickel industry chain based on complex network DOI

Mengxian Wang,

Yaoqi Guo, Hang Hu

и другие.

Sustainable Production and Consumption, Год журнала: 2023, Номер 42, С. 380 - 391

Опубликована: Окт. 1, 2023

Язык: Английский

Процитировано

11