摘要
[目的/意义]推动数据这一新型生产要素向新质生产力转化成为政策制定者和实践者的重要议题,因此探究相关科技政策逻辑具有重要的现实意义。[方法/过程]采用政策文献量化分析方法,按照“政策主体—政策工具—政策目标”的分析框架,结合数据要素“收—存—治—易—用”循环价值链的逻辑,对政策如何推动数据要素向新质生产力转化的逻辑进行分析。[结果/结论]结果表明,中央政策主体较为分散,数字经济发达的地方政府推动作用明显;供给面政策工具和环境面政策工具是主要政策工具;“数字创新”“数据应用”“数据交易”和“数据治理”为主要政策目标;中央和地方政府在政策工具和政策目标的布局上存在一定差异性;未来可优化“主体—工具—目标”体系,以及普适性政策工具和特殊性政策工具的组合,提升政策效率。
[Purpose/Significance]Promoting the transformation of data elements into new quality productive forces has become an important issue for policy makers and practitioners,therefore it being of practical significance to analyze the rationality and scientificity of data elements policies.[Method/Process]Using the policy documents quantitative analysis method,this paper analyzed how policies promote the transformation of data elements into new productive forces.This paper used the following analytical framework:policy subject,policy tool,policy target,and the logic of the data element value chain:collection,storage,governance,transaction and application.[Results/Conclusions]This paper finds that:(1)The central policy entities are relatively scattered,and the local governments with developed digital economy have a significant driving role.(2)Supply side policy tools and environmental side policy tools are the main policy tools,with digital innovation,data application,data transaction,and data governance as the main policy targets.(3)There are some differences in the layout and combination of policy tools and policy targets between central and local governments.(4)To improve policy efficiency,the policy system can be optimized,such as the combination of policy subjects,policy targets,and policy tools,as well as the combination of universal and special policy tools.
作者
岳晓旭
张立立
邱均平
丁敬达
Yue Xiaoxu;Zhang Lili;Qiu Junping;Ding Jingda(Chinese Academy of Science and Education Evaluation,Hangzhou Dianzi University,Hangzhou 310018,China;Academy of Data Science and Informetrics,Hangzhou Dianzi University,Hangzhou 310018,China;School of Public Policy and Management,Tsinghua University,Beijing 100084,China)
出处
《现代情报》
CSSCI
北大核心
2024年第11期27-36,共10页
Journal of Modern Information
关键词
新质生产力
数据要素
数字创新
政策主体
政策工具
政策目标
new quality productive forces
data elements
digital innovation
policy subjects
policy tools
policy targets
