中国科技服务业政策文本量化评价——基于PMC指数模型的分析  

Quantitative Evaluation of China's Science and Technology Service Industry Policies-Based on PMC Index Model

作　　者：梁娟[1] 蔡猷花 庄彩云 LIANG Juan;CAI Youhua;ZHUANG Caiyun(School of Business Administration,Fujian Jiangxia University,Fuzhou 350108,Fujian,China;School of Economics and Management,Fuzhou University,Fuzhou 350108,Fujian,China;School of Economics and Management Longyan University,Longyan 364012,Fujian,China)

机构地区：[1]福建江夏学院工商管理学院,福建福州350108 [2]福州大学经济与管理学院,福建福州350108 [3]龙岩学院经济与管理学院,福建龙岩364012

出　　处：《华南理工大学学报（社会科学版）》2024年第5期132-147,共16页Journal of South China University of Technology(Social Science Edition)

基　　金：国家自然科学基金青年项目“多层次创新网络对科技服务业集群企业创新绩效的影响研究”(71902034);福建省科技计划项目“福建省产学研专利合作网络演化与企业双元创新绩效关系”(2023R01010004);福建省社会科学规划项目“嵌入平台生态的中小企业双元数字创新研究”(FJ2024C092)。

摘　　要：科技服务业的高质量发展需要多方位的政策支持。对科技服务业政策进行量化评价可以发现政策短板,有助于政策的优化和调整。以2008—2021年中国117项科技服务业政策为研究对象,运用ROST CM6软件,采用文本挖掘方法提取政策文本的高频词,构建语义关系网,归纳出八大政策类属,构建科技服务业政策的评价指标体系,运用PMC指数模型对省级政策进行评价分析,提出优化路径。研究发现:24份政策文件总体处于可接受水平,4份优秀,16份良好,均未达到完美级别。研究发现了政策文本的共性问题:政策目标、开放合作和人才支持为政策短板;政策文本的评级越高,其政策内容的一致性越高;同一地区不同时期的政策保持连贯性有利于提升其政策等级。研究结论可为政府制定与完善科技服务业政策提供科学、明确的优化路径。The high-quality development of science and technology service industry needs multi-dimensional policy support.The quantitative evaluation of science and technology service industry policies can find out the shortcomings of policies and contribute to the optimization and adjustment of them.Taking 117 science and technology service industry policies in China as the research objects from 2008 to 2021,this study adopted text mining and ROST CM6 to extract high-frequency words in the policy documents and built a semantic relationship network.Meanwhile,this study took 24 provincial science and technology service industry policies as samples,summarized eight policy categories and constructed the evaluation index system of science and technology service industry policies.The PMC index model was used to evaluate and analyze the provincial policies,and the optimization path is put forward.The results show that 24 policy documents are generally in acceptable level,4 excellent,16 good,none of which reach the perfect level.The research has found common problems in policy texts,with policy objectives,open cooperation and talent support as the policy shortcomings.The higher the rating of policy text,the higher the consistency of policy content;the consistency of policies in the same region in different periods is conducive to improve its policy level.The research conclusion provides a scientific and clear optimization path for governments to formulate and improve policies for science and technology service industry.

关 键 词：科技服务业政策 PMC指数模型 文本挖掘 政策评价 政策量化 

分 类 号：G322[文化科学]