Research on the structural features and influence mechanism of the green ICT transnational cooperation network
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DOI: 10.1016/j.eap.2022.07.003
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Cited by:
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- Xiaoyi Shi & Xiaoxia Huang & Huifang Liu, 2022. "Research on the Structural Features and Influence Mechanism of the Low-Carbon Technology Cooperation Network Based on Temporal Exponential Random Graph Model," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
- Huiping Wang & Peiling Liu, 2024. "Characteristics of the urban environmental regulation network and its impact on carbon emission efficiency in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
- Li, Yaya & Cobbinah, Joana & Abban, Olivier Joseph & Veglianti, Eleonora, 2023. "Does green manufacturing technology innovation decrease energy intensity for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1010-1025.
- Li, Na & Jin, Yanling & Li, Ying & Ma, Xinyuan, 2023. "How can visual communications aid in renewable energy development?," Renewable Energy, Elsevier, vol. 208(C), pages 702-708.
- Li, Mingzhen & Li, Hongchang & Wang, Kun & Shen, Shuohua, 2023. "Dynamic network relationship between transportation and urban economy: A case study of China's high-speed rail as a new transportation technology," Research in Transportation Economics, Elsevier, vol. 102(C).
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Keywords
Green ICT; Transnational cooperation network; Patent; QAP model; Social network analysis;All these keywords.
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