| 徐溪红 黄进 杨秀丽 杨志发.基于政策“工具—目标—层级”三维视角的我国未来产业政策文本量化研究[J].中国科技资源导刊,2026,(4):78~89 |
| 基于政策“工具—目标—层级”三维视角的我国未来产业政策文本量化研究 |
| Quantitative Research on China’s Future Industrial Policy Documents from the Three-Dimensional Perspective of Tools-Goals-Hierarchy in Policies |
| 投稿时间：2026-03-20 |
| DOI： |
| 中文关键词: 未来产业；政策特征；政策工具；政策目标；政策层级 |
| 英文关键词: future industry, policy characteristics, policy instrument, policy goal, policy hierarchy |
| 基金项目:安徽省科技创新战略与软科学研究专项“未来产业技术发展路径研究”（202506f02050010）；2025 年度战略院卓越青年研究基金地方合作项目“因地制宜发展新质生产力的地方经验研究”（ZKDQ202507）。 |
| 作者 | 单位 | | 徐溪红 黄进 杨秀丽 杨志发 | （安徽省科学技术情报研究所，安徽合肥 230092） |
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| 中文摘要: |
| 未来产业是发展新质生产力、建设现代化产业体系的必然之举。依托现有政策探索我国未来产业政策体系内在逻辑与潜在问题，对于优化未来产业培育发展路径、加快新质生产力发展具有重要意义。在构建“政策工具—政策目标—政策层级”三维分析框架的基础上，对58份政策文本进行量化分析。研究发现：当前未来产业政策以供给型政策工具为主，需求型政策工具运用不足，目标维度高度聚焦技术开发，对基础研究与成果转化重视不足；不同政策层级施政逻辑存在差异且县域布局相对滞后。为此提出建议：优化政策工具、强化需求牵引与动态适配，完善政策目标、贯通全生命周期孵化链条，推动政策协同、构建错位互补发展格局等建议，为未来产业政策体系优化提供科学依据，促进未来产业高质量发展。 |
| 英文摘要: |
| Developing future industries is an essential move to foster new quality productive forces and build a modern industrial system. Based on existing policies, exploring the internal logic and potential problems of China’s future industry policy system is of great significance for optimizing cultivation paths and accelerating the development of new quality productive forces. This paper constructs a three-dimensional analytical framework of “Policy Instrument-Policy Goal-Policy Hierarchy” to conduct a quantitative analysis of 58 policy texts. The study finds that: current future industry policies are dominated by supply-oriented instruments, while demand-oriented instruments are insufficiently utilized. In terms of policy goals, there is a high concentration on technology development, with inadequate attention paid to basic research and achievement transformation. Furthermore, the governance logic varies across different policy hierarchies, and layout at the county level is relatively lagging. Therefore, this paper proposes suggestions such as optimizing policy instruments to strengthen demand traction and dynamic adaptation, refining policy goals to connect the fulllifecycle incubation chain, and promoting policy synergy to build a pattern of staggered and complementary development. These insights provide a scientific basis for the optimization of the future industry policy system and promote the high-quality development of future industries. |
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