ArticlePloS one2024
Research on quantitative evaluation of digital economy policy in China based on the PMC index model.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Evaluating age-friendly smart city policy design: A PMC-Index analysis of chinese provincial frameworks.PloS one · 2026Article
- The comparative analysis of Sino-Japanese football policies from the perspective of policy instruments.PloS one · 2026Article
- Developing supportive policy environments for hospice care in china: a quantitative policy evaluation based on the PMC-Index model.BMC palliative care · 2025Article
- Quantitative evaluation of two-way referral policies based on PMC index model.International journal for equity in health · 2025Article
- Comprehensive evaluation of the development of traditional Chinese medicine industry in Shaanxi province based on PMC index model.Frontiers in public health · 2025Article
- What makes a specialised emergency plan effective?-A case study of railway operation in 33 prefectural cities in China.PloS one · 2025Article
- How to evaluate long-term care insurance policy based on policy tools and PMC index model: evidence from pilot cities in China.Frontiers in public health · 2025Article
- A dynamic evaluation of macao environmental policies based on text mining of the PMC knowledge framework.PloS one · 2025Article
- Research on quantitative evaluation of medical insurance fraud supervision policy based on 'Antecedents-Process-Outcomes' framework.PloS one · 2025Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The development of digital economy is a strategic choice to grasp the revolution of new science and technology and the new opportunities of industrial reform. The development of digital economy depends on the good support of policy and theoretical system. Therefore, the quantitative evaluation of policy texts provides the basis of decision-making and the suggestions of path optimization for the formulation and improvement of digital economy policy of China. By selecting the text of digital economy policy issued by China government, the paper constructs a quantitative evaluation model of digital economy policy using the methods of content analysis and text mining. The empirical research results show that the overall design evaluation of the selected policy is relatively reasonable. Six policies were evaluated as excellent and two as acceptable. In view of the problems such as lack of predictive policy in the policy type, lack of specific policy in the policy timeliness, imbalance in the use of policy guarantee, and lack of comprehensive coverage in the policy objectives, the paper puts forward corresponding countermeasures and suggestions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.