Dynamic Quantitative Evaluation of China's International Science and Technology Cooperation Policies Based on PMC Index Model
The international scientific and technological cooperation environment has undergone tremendous changes under the new development pattern.Evaluation and reflection on past international scientific and technological cooperation policies can provide important support for improving international scientific and technological cooperation policies under the"dual cycle".This article takes 199 international science and technology cooperation policies issued at the national level from 1978 to 2022 as the research object,uses Python technology to conduct text mining and co-occurrence analysis to capture the characteristics of policy texts,and combines the setting of policy evaluation indicators in existing literature to construct an international science and technology cooperation policy.PMC index model of cooperation policies,and dynamically select 18 sample policies from different development stages of international scientific and technological cooperation for quantitative evaluation.The results show that among the 18 international science and technology cooperation policies,3 are perfect,6 are excellent,9 are excellent,and there are no acceptable or bad policies.However,the microanalysis index scores found that there is still an imbalance in the issuing agency and an insufficient policy nature,problems such as single policy perspective,vague policy focus,neglect of private objects and insufficient use of policy tools;the policy quality scores of the different development stages of international scientific and technological cooperation are from high to low:innovative development stage＞steady recovery stage＞rapid advancement stage＞In the comprehensive improvement stage,the main differences stem from the different needs for policy types,policy nature,policy perspectives and policy priorities in different periods.
International Scientific CollaborationPMC Index ModelPolicy EvaluationText Mining
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