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Research on quantitative evaluation of digital economy policy in China based on the PMC index model.
Hong, Shuai; Wang, Tianzun; Fu, Xiaoyi; Li, Guo.
Afiliação
  • Hong S; Institute of Economic Research, Hebei University of Economics and Business, Shijiazhuang, China.
  • Wang T; Hebei Coordinated Innovation Center for BTH Coordinated Development, Hebei University of Economics and Business, Shijiazhuang, China.
  • Fu X; Institute of Economic Research, Hebei University of Economics and Business, Shijiazhuang, China.
  • Li G; College of Economics and Management, Beijing University of Technology, Beijing, China.
PLoS One ; 19(2): e0298312, 2024.
Article em En | MEDLINE | ID: mdl-38359065
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mineração de Dados / Governo Tipo de estudo: Evaluation_studies / Health_economic_evaluation / Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mineração de Dados / Governo Tipo de estudo: Evaluation_studies / Health_economic_evaluation / Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article