科研管理

科研管理 ›› 2025, Vol. 46 ›› Issue (12): 90-99.DOI: 10.19571/j.cnki.1000-2995.2025.12.009

• 论文 • 上一篇    下一篇

数字生态涌现高水平县域数字经济的组态研究

余维臻1,5，章俨1，刘秀芬2,4，王露1,3   

  1. 1.浙大城市学院商学院，浙江 杭州310015;
    2.浙江农林大学经济管理学院，浙江 杭州311300;
    3.浙江大学管理学院，浙江 杭州310058;
    4.浙江农林大学生态文明研究院，浙江 杭州311300;
    5.浙大城市学院浙江省大运河文化研究院，浙江 杭州310015

  • 收稿日期:2024-05-27 修回日期:2025-06-07 接受日期:2025-06-09 出版日期:2025-12-20 发布日期:2025-12-15
  • 通讯作者: 章俨
  • 基金资助:
    国家社会科学基金一般项目：“共同富裕背景下乡村创业高质量发展的模式与推进机制研究”(22BGL021，2022.09—2026.12)；浙江省社科规划“党的二十届三中全会和省委十五届五次全会精神研究阐释”专项课题成果；中国博士后科学基金(2024M762783，2024.11—2025.08)；浙江省软科学研究计划重点项目：“浙江建设全球技术转移枢纽的战略对策研究”(2022C25037，2022.01—2024.12)。

A configurational study on the emergence of high-level county digital economy within digital ecosystems

Yu Weizhen1,5, Zhang Yan1, Liu Xiufen2,4, Wang Lu1,3   

  1. 1. School of Business, Hangzhou City University, Hangzhou 310015, Zhejiang, China; 
    2. School of Economics and Management, Zhejiang Agriculture & Forestry University, Hangzhou 311300, Zhejiang, China; 
    3. School of Management, Zhejiang University, Hangzhou 310058, Zhejiang, China;
    4. Institute of Ecological Civilization, Zhejiang Agriculture & Forestry University, Hangzhou 311300, Zhejiang, China;
    5. Zhejiang Provincial Culture Research Institute for Grand Canal, Hangzhou City University, Hangzhou 310015, Zhejiang, China

  • Received:2024-05-27 Revised:2025-06-07 Accepted:2025-06-09 Online:2025-12-20 Published:2025-12-15

摘要：    数字经济是推动县域经济高水平发展的关键动力，但其发展决定因素及其涌现机制尚待深入探究。本文基于组态视角，构建数字生态输入与输出分析框架，运用QCA方法分析浙江90个区县市高水平数字经济涌现的复杂因果关系。研究发现：单个数字生态因素不构成（非）高水平县域数字经济涌现的必要条件，产业基础对高水平产业数字化至关重要，而数字人力资源对数字产业化同样重要；3种涌现机制4种数字生态产生高水平数字产业化，即市场要素集聚型、市场逻辑主导下政府赋能型（2种数字生态）、政策驱动人才核心型；2种涌现机制产生高水平产业数字化，即政策引导市场转型升级型和市场资源优化型；5种数字生态产生非高水平数字经济。研究结论对中国县域数字经济高水平发展的布局与实现路径具有重要的理论指导与实践借鉴意义。

关键词: 数字生态系统, 县域数字经济, 复杂适应系统, 涌现机制, QCA方法

Abstract:    The digital economy is a key driver of high-level development in county-level economies, but the determining factors and emergent mechanisms of its development remain to be explored. Based on the configurational perspective, this study constructed a framework for analyzing the input and output of the digital ecosystem using configurational analysis. The QCA method was employed to analyze the complex causal relationships behind the emergence of a high-level digital economy in 90 districts, counties and cities in Zhejiang Province. The study found that individual digital ecosystem factors are neither necessary nor sufficient for the emergence of a high-level county digital economy. Industrial foundations are crucial for high-level industrial digitalization, while digital human resources are equally important for achieving digital industrialization. Besides, three emergent mechanisms and four types of digital ecosystems lead to high-level industrial digitalization, market element agglomeration type, market-driven logic government empowerment type (two digital ecosystems), and policy-driven talent core type, while two emergent mechanisms contribute to high-level industrial digitalization, namely, policy-guided market transformation and upgrading type and market resource optimization type. In addition, five types of digital ecosystems result in non-high-level digital economies. The findings will offer some significant theoretical guidance and practical insights for the layout and realization of high-level digital economy development in China. 

Key words: digital ecosystem, county digital economy, complex adaptive system, emergence mechanism, QCA method