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  • 收录类型=SCI-EXPANDED x
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6 条 记 录,以下是 1-6

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The Green Finance Pilot Policy Suppresses Green Innovation Efficiency: Evidence from Chinese Cities被引量:6收藏 分享
作者:Zhu, Yanqiu Zhang, Ming Chen, Hongan Ma, Jun
机构:East China Univ Sci & Technol;Nanjing Agr Univ;Shanghai Univ
来源:SUSTAINABILITY  2025
关键词:green finance pilot policy   green innovation efficiency   cost pressure   innovation resource crowding out   market integration  
Risk Management of Green Building Development: An Application of a Hybrid Machine Learning Approach Towards Sustainability被引量:4收藏 分享
作者:Zhu, Yanqiu Chen, Hongan Ma, Jun Pan, Fei
机构:East China Univ Sci & Technol;Shanghai Univ;Univ Shanghai Sci & Technol
来源:SUSTAINABILITY  2025
关键词:fuzzy analytic hierarchy process (FAHP)   green building risk management   machine learning   particle swarm optimization (PSO)   decision support  
Promoting or inhibiting? The impact of supporting policy for resource-exhausted cities on corporate green technology innovation: evidence from China被引量:1收藏 分享
作者:Yang, Jing Chen, Hongan Jin, Huan Jiang, Yalin
机构:East China Univ Sci & Technol;Nanjing Univ Posts & Telecommun;Nanjing Audit Univ
来源:ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY  2025
关键词:DID   Supporting policy for resource-exhausted cities   Green technology innovation (GTI)   Proportion of fixed assets   Rent-seeking expenses   R&D expenditures  
The Impact of China's Circular Economy Demonstration Policy on Urban Green Innovation Efficiency被引量:0收藏 分享
作者:Zhu, Yanqiu Zhang, Ming Chen, Hongan Ma, Jun Pan, Fei
机构:East China Univ Sci & Technol;Nanjing Agr Univ;Shanghai Univ;Univ Shanghai Sci & Technol
来源:SUSTAINABILITY  2025
关键词:Circular Economy Demonstration Policy   green innovation efficiency   capital distortion   market integration   resource allocation  
Impact of R&D innovation and political background on corporate growth: A study based on private listed companies in China被引量:0收藏 分享
作者:Kong, Xiangde Chen, Hongan Wu, Peng Ma, Ran Pan, Fei
机构:East China Univ Sci & Technol;Yangzhou Univ;Shandong Univ Polit Sci & Law;Univ Shanghai Sci & Technol
来源:PLOS ONE  2024
Sustainable Computing Optimization in Large-Scale Machine Learning Training被引量:0收藏 分享
作者:Zhu, Yanqiu Chen, Hongan Ma, Jun Pan, Fei
机构:East China Univ Sci & Technol;Shanghai Univ;Univ Shanghai Sci & Technol
来源:INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE  2025
关键词:Federated learning   dynamic sparsification   runtime scheduling feedback   comple mentary pruning   client chain update   communication efficiency  
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