Analysis of evolutionary trends and hot spots of green technology innovation based on clustering algorithm

Ziwei Zhao; Ludan Zhang; Xinmeng Sheng; Shikui Cao

doi:10.1117/12.3031205

19 July 2024 Analysis of evolutionary trends and hot spots of green technology innovation based on clustering algorithm

Ziwei Zhao, Ludan Zhang, Xinmeng Sheng, Shikui Cao

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131815Z (2024) https://doi.org/10.1117/12.3031205
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

With the continuous improvement of global environmental protection awareness, green technology innovation has become the focus of attention of governments and enterprises. In this paper, Louvain, Kleinberg clustering algorithm and bibliometric analysis are used to explore the development trend and research hotspots of green technology innovation. Taking CNKI as the data source and "green technological innovation" as the theme, we analyzed the related literature on green technological innovation from 2013 to 2023, and presented the research results to reveal the hotspots and research directions of the current research. The number of publications shows a steady increase and then a rapid increase, which can strengthen the communication, cooperation and resource sharing among research institutions and authors, and emerges high hot topics in the field of green technological innovation, such as environmental regulation, green total factor productivity, digital economy, and carbon neutrality. Meanwhile, this study also provides useful suggestions for governmental departments, suggesting to strengthen the strength of environmental management, establish relevant policy systems and legal and regulatory systems that adapt to the operation of the market mechanism, and establish complete green technology development centers and service centers to promote the development of green technology innovation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziwei Zhao, Ludan Zhang, Xinmeng Sheng, and Shikui Cao "Analysis of evolutionary trends and hot spots of green technology innovation based on clustering algorithm", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131815Z (19 July 2024); https://doi.org/10.1117/12.3031205

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KEYWORDS

Sustainable technology

Analytical research

Carbon

Sustainability

Algorithm development

Reflection

Climate change

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