国家高新技术产业开发区生物医药产业政策主题挖掘及量化评价研究
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篇名: 国家高新技术产业开发区生物医药产业政策主题挖掘及量化评价研究
TITLE: Study on the Subject M ining and Quantitative Evaluation o f Biomedical Industry Policy in National High-tech Industrial Development Zone
摘要: 目的:为我国生物医药产业发展提供参考。方法:收集2010年1月-2019年12月我国全部169家国家高新技术产业开发区(以下简称“国家高新区”)官方网站上发布的政策文件,从中筛选出专门针对生物医药产业方面的政策以及全部产业政策中提及生物医药产业发展的政策,采用Excel2019软件进行政策信息的汇总分析;使用Gensim包完成政策文本的预处理并构建隐合狄利克雷分布(LDA)主题模型,实现对政策文本中潜在语义信息的提取与分析。结果:共收集到相关政策文本518件,其中有效词汇共58617个,高频词汇包括项目、人才、支持、补贴、创新等;提取出8个主题,按主题强度排序依次为技术创新、人才建设、融资支持、项目金融支持、税收优惠、资源引领、出口贸易、中小企业建设,强度分别为0.299、0.168、0.134、0.116、0.113、0.063、0.058、0.049。结论:国家高新区生物医药产业政策以技术创新、人才建设和融资支持为主,缺乏对中小企业建设、资源引领、出口贸易的关注。今后国家高新区对生物医药产业的政策支持及体系建设应重点完善政策激励措施,平衡各领域政策运用比例;鼓励企业扩大海外市场,学习海外先进技术,加强科研等领域的多边合作;配套相应的政策以增进企业间的交流合作,发挥龙头企业和名牌产品的带动作用,促进中小企业发展。
ABSTRACT: OBJECTIVE:To prov ide re ference for the development of biomedical industry in China. METHODS :The policies and documents issued by 169 national high-tech industrial development zone (hereinafter reffered to as “National high-tech zone ”) official websites from Jan. 2010 to Dec. 2019 were collected to screen policies specifically for the biomedical industry and the development policy of biomedical industry mentioned in all industrial policies. Excel 2019 software was used to summarize and analyze policy information. Gensim package was used to preprocess the policy texts and construct LDA topic model to extract the potential semantic information from the policy texts. RESULTS :A total of 518 policy texts were collected ,including 58 617 effective words ;high-frequency words included project ,talent,support,subsidy,innovation,etc.;8 themes were extracted , ranked by theme intensity as technological innovation ,talent construction ,financing support ,project financial support ,tax incentives,resource guidance ,export trade ,and construction of small and medium-sized enterprises ,with the intensities of 0.299, 0.168,0.134,0.116,0.113,0.063,0.058 and 0.049,respectively. CONCLUSIONS :The biomedical industry policy of the national high-tech zone is mainly based on technological innovation ,talent construction and financing support ,and lacks attention to the construction of small and medium-sized enterprises ,resource guidance ,and export trade. In the future ,the national high-tech zone ’s policy support and system construction for the biomedical industry should focus on improving policy incentives and balancing the proportion of policy applications in various fields ;encourage enterprises to expand overseas markets ,learn overseas advanced technologies ,and strengthen multilateral cooperation in scientific research and other fields ;support the corresponding policies to enhance exchanges and cooperation between enterprises ,give play to the leading role of leading enterprises and famous brand products ,and promote the development of small and medium-sized enterprises.
期刊: 2020年第31卷第22期
作者: 乔晗,徐俐颖,李旭,李树祥,褚淑贞
AUTHORS: QIAO Han,XU Liying ,LI Xu,LI Shuxiang ,CHU Shuzhen
关键字: 隐合狄利克雷分布主题模型;国家高新技术产业开发区;生物医药产业;政策;主题挖掘;量化评价
KEYWORDS: LDA topic model ;National high-tech industrial development zone ;Biomedical industry ;Policy;Theme mining ;
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