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数据循证视角下新质生产力的理论内涵与现实指向
Theoretical Connotation and Practical Orientation of New Quality Productive Forces from the Perspective of Data-based Evidence
【摘要】 “新质生产力”作为中国式现代化战略下提出的重要发展概念,正快速成为国家宏观政策引导、社会舆论关注与学术研究探讨的核心议题。基于政策文件、舆情文本和科技文献等3类数据,运用LDA主题模型和代表词共现分析方法,识别并比较三大话语体系中的主要主题与核心词汇,构建“新质生产力”知识图谱,揭示其认知共识的结构特征与形成机制。研究发现:3类话语体系在“高质量发展”“科技创新”“未来产业”等关键词上达成语义共识,但在立场定位、功能诉求与演化进程方面存在显著差异。进一步分析显示,新质生产力在政策、舆情和研究维度上均呈现出从概念提出到理论建构、从顶层设计到地方实践的系统演进趋势。此外,通过对地方政策文本与实践举措的分析,提炼出我国不同地区在发展新质生产力过程中的多维路径特征,其核心维度涵盖组织机制、政策体系、区域策略与产业协同等方面。研究结论不仅有助于深化对新质生产力认知共识的理论阐释与政策落地路径的学理解析,更为新质生产力的理论完善与实践创新提供了知识支撑和决策参考。
【Abstract】 As a key developmental concept proposed under the strategy of Chinese-style modernization, "new quality productive forces" have rapidly evolved into a core topic of national policy guidance, public discourse, and academic inquiry. Drawing on three types of data—policy documents, public opinion texts, and scientific literature—this study employs the Latent Dirichlet Allocation(LDA) topic model and representative word co-occurrence analysis to identify and compare the major themes and core vocabularies across these discursive systems. A knowledge map of "new quality productive forces" is constructed to reveal the structural features and formative mechanisms of cognitive consensus. Meanwhile, through an examination of local policy documents and media reports, this study further depicts local actions and interaction mechanisms in terms of policy deployment and practical initiatives. The findings show that:(1)a basic cognitive consensus on "new quality productive forces" has formed across the three discursive systems, yet with distinct emphases. While consensus is reached on core keywords such as "high-quality development", "technological innovation", and "future industries", policy discourse highlights toplevel design and institutional arrangements, public opinion discourse reflects social perceptions and expectations, and academic discourse focuses on theoretical construction and structural analysis.(2)The themes of policy, public opinion, and research exhibit a staged evolutionary pattern, reflecting the deepening of cognition from conceptualization to practice and from proposal to implementation. From the conceptual definition and policy signaling in the embryonic stage, to institutional building and technological exploration in the initial stage, and to practical implementation and systemic transformation in the developmental stage, the focus of attention gradually becomes more concrete and operationalized, fostering cross-stage and cross-domain knowledge transmission and discursive interaction.(3)Local policy deployment and practical measures for developing new quality productive forces demonstrate a combination of diversified collaboration, systematic planning, and regional differentiation. By adopting locally tailored development strategies, diversified coordination mechanisms among multiple stakeholders, and systematic policy frameworks, local governments have effectively advanced innovative practices in different regions and industries, thereby embodying a responsive mechanism and feedback loop between national strategies and local actions. This study contributes to a deeper understanding of the cognitive consensus and policy implementation pathways of new quality productive forces, offering knowledge support and decision-making reference for their theoretical refinement and practical innovation. Looking ahead, as an important driver of high-quality development and Chinesestyle modernization, the theory and practice of new quality productive forces still face challenges and expansion opportunities. Future research may benefit from integrating emerging tools such as artificial intelligence and big data analytics, as well as incorporating diverse data sources including English-language papers, international patents, and overseas public opinion, in order to provide more precise portrayals and dynamic tracking of the conceptual evolution, developmental trajectory, and implementation effectiveness.
【Key words】 new quality productive forces; theoretical connotation; cognitive consensus; policy evolution; local practices; knowledge map; future industry; artificial intelligenc;
- 【文献出处】 创新科技 ,Innovation Science and Technology , 编辑部邮箱 ,2025年09期
- 【分类号】F124
- 【下载频次】42