Quantitative Evaluation of China's Digital Economy Regulation Texts based on PMC Index Modeling

DOI: https://doi.org/10.62517/jmsd.202412341

Author(s)

Jiyuan Tan, Yufeng Lu, Dan Long*

Affiliation(s)

School of Management, Hefei University of Technology, Hefei, Anhui, China *Corresponding Author.

Abstract

The regulation landscape of the digital economy plays a pivotal role in guiding its evolution, garnering significant attention from nations globally. Leveraging text mining techniques and the PMC index model, this study conducts a quantitative assessment and analysis of China's digital economy regulation documents. By constructing a comprehensive digital economy regulation index system encompassing nine primary variables and 41 secondary variables, and integrating the PMC index with the PMC surface, we gain insights into the regulations effectiveness. Our findings reveal that among the 18 selected Chinese digital economy regulations' samples, six are exceptional, eight are commendable, and four are satisfactory. This signifies that China's regulations for digital economy development possess a considerable level of scientific rigor and feasibility, along with a high degree of regulation coherence. Through text mining, this research establishes a more scientific regulation evaluation index and employs the PMC index model to quantitatively assess China's digital economy regulations, thereby minimizing subjectivity in regulation evaluation.

Keywords

PMC Index Model; Digital Economy Regulation; Digital Economy; Text Mining; Regulation Evaluation

References

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