Quantitative evaluation and correlation effect analysis of Big Data policies for the development of digital economy

Authors

Hai-Dong ZHAO, College of Management, Guizhou University
Qiao-Xing LI, 1.College of Management, Guizhou University 2.The Research Center of Development Strategy in Karst Region, Guizhou University

Keywords

digital economy, big data policy, PMC index model, grey relational analysis

Abstract

Big data is an important engine to promote the formation and prosperity of the digital economy, and the promulgation of big data policies can effectively promote the development of the digital economy. On the basis of analyzing the development framework of the digital economy and considering the external conditions of various policies, the revised PMC index model is used to construct a quantitative evaluation index system for big data policies oriented to the development of the digital economy to quantitatively analyze the policies related to big data. Finally, the grey correlation model is used to analyze the correlation between the quantitative value of the policy and the development level of the digital economy. The research results can provide valuable reference suggestions for formulating and improving big data policies and effectively promoting the rapid development of digital economy in various regions in the future.

DOI

10.16315/j.stm.2023.01.008

Recommended Citation

ZHAO, Hai-Dong and LI, Qiao-Xing (2023) "Quantitative evaluation and correlation effect analysis of Big Data policies for the development of digital economy," Journal of Science and Technology Management: Vol. 25: Iss. 1, Article 7.
DOI: 10.16315/j.stm.2023.01.008
Available at: https://jstm.researchcommons.org/journal/vol25/iss1/7