我国促进大数据发展政策工具选择体系结构及其优化策略研究

Purpose/significance] This paper aims to explore the architecture of policy instrument selection that is built for achieving the goal of promoting the development of big data, reflect the questions existing in present policy instrument selection, and provide advice for optimizing policy instrument selection for promoting the development of big data. [Method/process] In this paper, a sample policy dataset that consists of 63 big data policies was created, which encoded the policy instruments hidden in sample policies by the method of content analysis. Then, a three-dimensional analysis framework that consists of basic resource, technique and field dimension was created, which is mapped to policy instrument codes. Finally, the sample policies were clustered by employing hierarchical clustering analysis from the perspective of field dimension. [Result/conclusion] The results of the analysis on policy instrument codes suggest that there is a lack of long-term planning in the selection of big data policy tools in China, the policy and policy tools are insufficient in coordination, and the policy tool selection is not abundant, the structure of policy instrument selection is unbalanced, and the key policies and policy instruments are hard to be identified because of the unclear demand expression. It recommends that China should enhance the strategy planning and development concept, focus on policy and policy instrument synergy, avoid public risks, build the demand-driven and question-oriented architecture of policy instrument selection, and develop innovative design and application of key policy instruments.