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Quantitative Evaluation of Digital Economy Policy in Heilongjiang Province of China Based on the PMC-AE Index Model

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  • Gaofei Wang
  • Yi Yang

Abstract

The digital economy has gradually become an important support for high-quality economic development, but the speed of digital economy development is affected by policies. A reasonable digital economy policy system has practical significance for the development of the digital economy. This study takes the digital economy policy text published by Heilongjiang Province from 2015 to 2022 as the research object, uses the method of text mining and content analysis, innovatively introduces AE automatic coding technology into the PMC index model, constructs the PMC-AE index model, and quantitatively evaluates and analyzes the policy text. The study found that the digital economy policy of Heilongjiang Province is at a good level as a whole, but there is still room for improvement. The digital economy policy of Heilongjiang Province is mainly based on guiding policies. The richness of policy types, participants, and incentives is insufficient. The limitation of policy timeliness is strong, and the cooperation of the issuing agencies is not sufficient. Based on the research results, it is suggested that policymakers should pay attention to the combination of macro and micro policies, promote multi-agent participation, enrich incentive measures, develop both policy guidance and supervision, improve the timeliness and consistency of policies, and strengthen the communication between the Issuing Departments. In addition, this study puts forward policy suggestions for specific government departments from four aspects of digital industrialization, industrial digitization, digital governance, and data value. This study not only provides policy recommendations for policymakers but also expands the field of policy evaluation.

Suggested Citation

  • Gaofei Wang & Yi Yang, 2024. "Quantitative Evaluation of Digital Economy Policy in Heilongjiang Province of China Based on the PMC-AE Index Model," SAGE Open, , vol. 14(1), pages 21582440241, March.
  • Handle: RePEc:sae:sagope:v:14:y:2024:i:1:p:21582440241234435
    DOI: 10.1177/21582440241234435
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