加快形成新质生产力的主攻方向与政策保障机制研究——以数字经济赋能金华产业转型升级为路径

Strategic Priorities and Policy Safeguard Mechanisms for Accelerating the Formation of New Quality Productive Forces —A Pathway Study of Digital Economy-Enabled Industrial Transformation and Upgrading in Jinhua

摘要: 新质生产力是指以高科技、高效能和高质量为特征的生产力形态，是推动经济高质量发展的核心动力。作为数字经济的代表，数字技术的应用和创新已成为产业转型和经济升级的重要驱动力。本文以浙江省金华市为研究对象，探索数字经济赋能产业转型升级的路径，并着重分析新质生产力的主攻方向与政策保障机制。本研究采用探索性单案例与多案例相结合实地调研、半结构化访谈以及企业内部资料分析等途径，对金华市若干重点产业进行深入考察。研究发现，金华市在新能源汽车、磁性材料及跨境电商等领域已初步形成相对完整的产业链基础，然而亦面临核心技术研发能力薄弱、高端人才储备不足以及产业链协同机制缺失等发展瓶颈。在此基础上，本文基于“技术融合–要素流动–政策协同”三维模型，提出了以人工智能驱动智造协同、数据要素激活商贸流通和绿色技术赋能低碳转型为主攻方向的产业升级路径，并基于企业痛点反馈与实地数据，设计了包括监测反馈体系、要素支撑系统和区域协同平台在内的政策保障机制。研究数据来源于金华市统计局的公报、企业调研和学术文献，辅以图片和可视化图表，以增强论证的力度。本文的研究成果不仅为金华市的产业升级提供了理论支持，也为其他类似区域的产业转型提供了重要的参考价值，有助于推进浙江省“八八战略”的深入实施。

Abstract: New productive forces, characterized by advanced technology, high efficiency, and superior quality, are pivotal to driving high-quality economic development. Representing the digital economy, advances in the application and innovation of digital technologies constitute a crucial engine for industrial transformation and economic upgrading. This study uses Jinhua, Zhejiang Province, as a case study to investigate how the digital economy can empower industrial transformation and upgrading. The focus is on identifying the primary directions for the formation of new productive forces and the corresponding policy support mechanisms. This study employs a methodological approach combining exploratory single-case and multi-case studies. Through field surveys, semi-structured interviews, and the analysis of internal corporate documents, an in-depth examination was conducted on several key industries in Jinhua City. The results indicate that while Jinhua City has preliminarily established a relatively complete industrial chain foundation in sectors such as new energy vehicles (NEVs), magnetic materials, and cross-border e-commerce, it continues to confront significant development bottlenecks. These challenges primarily include weak core R&D capabilities, a shortage of high-end talent reserves, and a deficiency in industrial chain coordination mechanisms. Building on these findings, this paper proposes an industrial upgrading pathway based on a three-dimensional model: “Technology Integration-Factor Flow-Policy Synergy.” This path focuses on three main directions: artificial intelligence (AI) driving smart manufacturing coordination, data elements activating commercial circulation, and green technologies empowering low-carbon transition. Furthermore, drawing upon corporate pain points feedback and field data, we propose a policy safeguard mechanism that includes a monitoring and feedback system, an essential factor support system, and a regional coordination platform. Data for this research were drawn from Jinhua’s statistical yearbook, enterprise surveys, and academic literature, complemented by visual illustrations to bolster the argument. This study offers both theoretical insights and practical solutions for industrial upgrading in Jinhua and similar regions, supporting the implementation of the “Eight-Eight Strategy.”