摘要
以智慧芽专利数据库收录的区块链专利文献为数据源,运用专利计量法从时间、地域、专利权人多个维度进行专利数据分析,揭示区块链技术发展趋势,挖掘典型机构和高价值专利,利用UCINET软件分析关键技术,并对中国区块链技术的发展概况进行分析。研究发现:区块链技术正处于快速发展期,中美两国是领跑者;保密或安全通信装置、支付体系机构、方案或协议等技术领域已成为区块链的热点技术,底层技术逐渐受到重视;中国区块链产业主要集中在广东、北京等发达省份,虽然在全球具有规模优势,但是专利质量相较美国仍有一定差距,未来可能会面临"卡脖子"风险。最后根据研究结果,提出要从政府层面做好区块链产业技术的顶层设计,从产业层面加速区块链与其他产业的融合发展,从区域层面支持基础好的地区开展示范应用,从企业层面鼓励加大研发投入、打造拳头产品。
This paper uses the blockchain patent documents in the PatSnap patent database as the data source,and uses the patent bibliometrics method to analyze patent data onto multiple dimensions of time,region,and patentee,which can reveal the development trend of blockchain technology,mine typical blockchain institutions and highvalue patents.In addition,the paper uses the UCINET software to analyze key technologies of blockchain at home and abroad,and the blockchain technology development in China.The research finds that blockchain technology is in a period of rapid development,China and the United States are the leaders,the technical fields such as confidentiality or security communication devices,payment system institutions,schemes or protocols and other technical fields have become the hot technology of blockchain,and the underlying technology has gradually been paid attention to;China’s blockchain industry is mainly concentrated on developed provinces such as Guangdong and Beijing,although it has scale advantages in the world,but there is still a certain gap in patent quality compared with the United States,and it may face the risk of"stuck necks"in the future.Finally,the paper proposes to do a good job in the top-level design of the blockchain industry from the government level,accelerate the integration and development of the blockchain and other industries from the industrial level,support the demonstration applications in areas with good foundations from the regional level,and encourage enterprises to increase R&D investment and development to create competitive products from the enterprise level.
作者
刘建明
颜学明
Liu Jianming;Yan Xueming(Guangdong Institute of Scientific&Technical Information,Guangzhou 510033,China;Guangdong University of Foreign Studies,Guangzhou 510420,China)
出处
《科技管理研究》
CSSCI
北大核心
2021年第16期37-44,共8页
Science and Technology Management Research
基金
广东省科技计划项目“广东科技创新重点指标监测”(2018B070714005)
广东省教育厅特色创新类项目“面向印尼的多模态舆情情感分析中的关键技术研究”(2018KQNCX072)。
