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作 者:杜宝贵[1] 陈磊 Du Baogui;Chen Lei(School of Humanities and Law of Northeastern University,Shenyang 110169,China)
出 处:《科技进步与对策》2022年第1期132-140,共9页Science & Technology Progress and Policy
基 金:中央高校基本科研业务费项目(N2014003);辽宁省“十四五”科技创新规划及中长期科学技术发展规划项目(202005)。
摘 要:对科技服务业政策进行评价有助于科技服务业政策优化和改进,运用国内新兴的PMC指数模型对辽宁省科技服务业政策进行量化评价。基于前人研究成果以及2012-2020年我国68份典型科技服务业政策文本高频词,构建科技服务业政策评价指标模型,以辽宁省科技服务业政策为核心,构建辽宁省与相关省市样本对比框架。研究发现,辽宁省科技服务业政策存在政策对象认知不清晰、政策工具使用不全面、政策机制构建不完善等问题,对此提出相应优化路径。The policy of science and technology service industry is one of the important factors affecting the development of science and technology service industry.The development effect of science and technology service industry is closely related to the formulation of its policies and measures.Therefore,it is beneficial to understand the rationality of existing policies and measures of science and technology service industry by evaluating the policies of science and technology service industry,which provides reference significance for optimizing and improving future policies of science and technology service industry.From the existing research literature,it can be seen that the research literature of science and technology service industry policy at home and abroad mostly focuses on policy formulation,policy implementation,policy environment and other aspects,and there is a lack of the related research of policy evaluation,which is the weak link of policy analysis of science and technology service industry at present.PMC index model is an"exotic product"of foreign policy evaluation methods.Domestic scholars have evaluated some policies in China by using the revised and adjusted policy model,and achieved good results,expanding the applicable scope of the index model in China's policies,and providing method reference and empirical experience for the study on the policy evaluation of science and technology service industry.This study takes PMC index model as the core research method to quantitatively evaluate and analyze the relevant policy texts of science and technology service industry.Firstly,based on the existing index system of PMC index model,text mining method was employed to describe and summarize the contents of 68 policy texts of science and technology service industry in China from 2012 to 2020,the evaluation index system of PMC index model was adjusted and supplemented,so as to build an evaluation index system applicable to science and technology service industry policy and improve the effectiveness of policy
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