Research Article
Topics Mining of Domestic Green Development Research Based on System Clustering
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326771, author={Yan Wu and Changlu Zhang}, title={Topics Mining of Domestic Green Development Research Based on System Clustering}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={green development; topic mining; trend analysis; system clustering; chi-square statistics}, doi={10.4108/eai.18-11-2022.2326771} }- Yan Wu
Changlu Zhang
Year: 2023
Topics Mining of Domestic Green Development Research Based on System Clustering
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326771
Abstract
In order to systematically sort out the relevant research results in the field of green development in China and to promote further research, the literature related to the green development topic in CNKI was selected. Cluster analysis and topic mining methods were adopted to identify the main research topics. The chi-square statistics method was used to extract keywords with a high correlation degree to condense the theme connotation. The results showed that domestic research on green development can be divided into 11 categories, concluding the construction of ecological civilization, ecological governance, sustainable development, innovation-driven development, environmental protection, green economy, two-mountains theory, etc. Among them, literature related to ecological civilization construction and ecological governance has the largest number, which belongs to the traditional research field. Although there was not much literature on the topic of two-mountains theory, innovation-driven development, green technology innovation, green economy research, etc., the research heat has increased significantly in recent years, which represents the research trend in the future.
