| Title |
Research on the structural features and influence mechanism of the green ICT transnational cooperation network |
| ID_Doc |
31237 |
| Authors |
Li, YY; Zhu, Z; Guan, YF; Kang, YF |
| Title |
Research on the structural features and influence mechanism of the green ICT transnational cooperation network |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.eap.2022.07.003 |
| Abstract |
Green information and communication technology (ICT) innovations are key to achieving global climate goals. Cross-border technological cooperation has become a strategic choice for countries to achieve technological breakthroughs. Based on 49,731 patents, this study uses social network analysis method (SNA) and quadratic assignment proce-dure (QAP) to discuss the structural features and influence mechanisms of the worldwide green ICT cooperation network from 2000 to 2019. The results indicate the following: (1) The scale of the global green ICT cooperation network is still small, but the links among countries are getting closer and closer; (2) The USA is the "heart "of the network, and it has a sharp core-periphery structure; India, China, Germany, and the UK play sub -center roles in Asia and Europe, respectively; (3) Green ICT's cooperative innovation mode is dominated by core countries; (4) Technological proximity, social proximity, ICT development level, climate change, and technological innovation capability are the key driving elements for the growth of the green ICT patent cooperation network; however, the role of institutional distance becomes insignificant over time; and (5) The influence mechanism of the network has the characteristics of heterogeneity in different climate change environments and ICT development levels. Countries should participate in green ICT cooperation with a more open attitude and promote the green transformation of the traditional ICT industry.(c) 2022 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved. |
| Author Keywords |
Green ICT; Transnational cooperation network; Patent; QAP model; Social network analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000834110000003 |
| WoS Category |
Economics |
| Research Area |
Business & Economics |
| PDF |
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