摘要
旨在研究评价新科技革命先导技术差距的理论、工具与实践问题,为此通过论文活动力、论文影响力、专利活动力、专利影响力、专利市场力等指数构建技术差距计量AⅢ模型,采用Gordon方法标化,建立新科技革命先导技术差距测度体系,用以厘清中美欧日韩在人工智能领域45个分类技术细粒性差距。研究发现我国人工智能技术整体与欧日韩同处并跑阶段,在技术层次上跟跑、并跑和领跑并存,但缺乏重大原创成果和核心算法、设备、芯片、平台及标准,尤其遭遇跟跑惯性障碍、创新人才、智慧化基础和创新路线误区等瓶颈问题。针对问题,提出了优化方案和系列政策建议,以期为相关研究及政策决策提供理论、工具和实证支持。
The purpose of this paper is to study the theory,tools and practice of evaluating the technological gap of the new scientific and technological revolution.For this purpose,we set up an AIII model for measuring the technological gap based on IP index of intellectual property,such as paper activity,paper influence,patent activity,patent influence and patent market power,and use Gordon's method to standardize and synthetically build a new technology revolution pilot technology gap measurement system to clarify the fine-grained gap of 45 classification technologies in the field of artificial intelligence among China,the United States,Europe,Japan and South Korea.The research finds that the whole AI technology in our country is running side by side with Europe,Japan and South Korea.The“three runs”coexist at the technical level,but it lacks significant original achievements and core algorithms,equipment,chips,platforms and standards.Especially,it encounters bottlenecks such as the inertia obstacle of running,innovative talents,the basis of intelligence and the misunderstanding of innovative routes.In order to provide theoretical,tooling and empirical support for relevant research and policy decision-making,this paper puts forward optimization schemes and a series of policy recommendations.
作者
周松兰
ZHOU Song-lan(School of Economics and Statistics,Guangzhou University,Guangzhou 510006,Guangdong,China)
出处
《华南理工大学学报(社会科学版)》
2020年第2期18-30,共13页
Journal of South China University of Technology(Social Science Edition)
基金
国家自然科学基金资助项目(71974041)
教育部人文社会科学研究规划基金项目(19YJAZH126)。
关键词
人工智能
技术差距
知识产权IP指数
创新跃迁
artificial intelligence
technology gap
IP index of intellectual property
leaping development of innovation