PDF(1088 KB)
PDF(1088 KB)
PDF(1088 KB)
数字产业集聚对县域数字技术创新的影响研究
The impact of digital industry clusters on county-level digital technology innovation
数字技术是数字经济发展的核心驱动力,通过推进数字产业集聚加快数字技术创新突破,是数字经济条件下加快科技自主创新、实现科技自立自强的重要途径。本文基于2003—2021年县域面板数据,利用工商注册数据测度数字产业集聚发展水平,并构建固定效应模型分析其对数字技术创新的影响机制和效应。研究结果表明,数字产业集聚显著促进了数字技术创新,该结论在一系列稳健性检验后依然显著成立。数字产业集聚主要通过劳动力蓄水池、技术溢出和数字中间投入共享促进了数字技术创新。异质性分析表明,在县域市场潜能、营商环境和对数字技术的关注度较高,以及县域内竞争程度较低的条件下,数字产业集聚对数字技术创新的促进作用更为显著。进一步分析还发现,现阶段我国数字产业集聚对企业全要素生产率和行业内部资源配置产生了显著的正向影响,但未来需要重点关注数字制造业集聚对数字技术创新的赋能效应不强以及数字产业集聚可能导致的县域发展质量不高、发展不平衡和环境污染问题。本文丰富了数字时代下产业集聚的创新效应研究,核心结论对进一步推进数字产业集聚,加快推进科技创新,实现高质量发展具有重要的政策启示。
Digital technology is the core driving force of the digital economy. Advancing digital industry clusters (DIC) and accelerating breakthroughs in digital technology innovation (Diginno) are important ways to enhance independent innovation in science and technology and achieve self-reliance in technological strength under the conditions of digital economy. Based on county-level panel data from 2003 to 2021,this paper uses business registration data to measure the development level of DIC and constructed a fixed-effects model to empirically analyze its impact mechanisms and effects on Diginno. The results showed that DIC significantly promotes Diginno,and this conclusion remains robust after a series of robustness tests. DIC mainly promote Diginno through labor pooling,technology spillovers,and sharing of digital intermediate inputs. Heterogeneity analysis indicates that the promotional effect of DIC on Diginno is more significant under conditions of high market potential,favorable business environment,high attention to digital technology,and low competition within counties. Further analysis also revealed that the current DIC in China have a significant positive impact on the TFP of enterprises and the internal resource allocation within industries. However,future attention should focus on the weak empowering effect of digital manufacturing clusters on Diginno as well as the problems of poor quality of county development,unbalanced development and environmental pollution that may result from DIC. This study enriches research on the innovation effects of industrial agglomeration in the digital era. Its core findings will provide important policy implications for further advancing DIC,accelerating scientific and technological innovation,and achieving high-quality development.
digital industry clusters / digital technology innovation / business registration data / county-level
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
赵作权, 戴宜畅, 范秋辞, 等. 中国国家级产业集群数字化程度估计:基于与线上产业带的匹配分析[J]. 中国科学院院刊, 2022, 37(12):1757-1769.
|
| [5] |
卢福财, 钟诗韵. 数字产业集群发展水平评价及其时空演变[J]. 经济地理, 2024, 44(6):113-123.
|
| [6] |
贺刚, 向天星. 数字经济核心产业空间集聚水平及其影响因素:基于新一代信息技术战略性新兴产业视角[J]. 科技管理研究, 2023, 43(5):197-203.
|
| [7] |
沈丽珍, 强靖淇, 汪侠, 等. 浙江省数字技术应用业空间集聚演化特征:基于微观企业数据[J]. 经济地理, 2023, 43(7):151-160.
|
| [8] |
刘耀彬, 邓伟凤, 李硕硕, 等. 数字产业集聚对减污降碳协同的影响:以长江经济带为例[J]. 资源科学, 2024, 46(4):744-760.
|
| [9] |
顾洁, 胡雯, 马双. 云计算产业空间格局、集聚模式与创新效应研究[J]. 科学学研究, 2022, 40(4):619-631.
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
胡尊国, 郭雨如, 邓理婕, 等. 数字技能型劳动力集聚对企业创新的影响及传导机制研究[J]. 科研管理, 2025, 46(1):183-192.
|
| [15] |
|
| [16] |
|
| [17] |
阮鸿鹏, 池仁勇, 冯远静. 数字信息平台赋能企业合作创新路径研究[J]. 科研管理, 2024, 45(9):74-84.
|
| [18] |
|
| [19] |
|
| [20] |
谭云清, 薛芳. 大数据能力促进后发企业创新追赶机制研究[J]. 科研管理, 2025, 46(5):64-71.
|
| [21] |
谢申祥, 高新锐. 数字产业发展与企业全球价值链地位[J]. 国际贸易问题, 2024(6):21-38.
|
| [22] |
苏丹妮, 盛斌. 产业集聚、集聚外部性与企业减排:来自中国的微观新证据[J]. 经济学(季刊), 2021, 21(5):1793-1816.
|
| [23] |
蒋为, 龚思豪, 李锡涛. 数字企业赋能中国对外贸易方式转型的效率与动力变革:基于中间品成本与需求结构的双重视角[J]. 管理世界, 2024, 40(9):41-59.
|
| [24] |
庄宗武, 叶振宇, 张可云. 产业链龙头企业、超大规模市场与制造业劳动生产率[J]. 经济学动态, 2024(1):54-73.
|
| [25] |
王如玉, 梁琦, 李广乾. 虚拟集聚:新一代信息技术与实体经济深度融合的空间组织新形态[J]. 管理世界, 2018, 34(2):13-21.
|
| [26] |
|
| [27] |
张斌, 沈能. 集聚外部性、异质性技术和区域创新效率[J]. 科研管理, 2020, 41(8):49-59.
|
| [28] |
盛斌, 刘宇英. 走出产品“舒适区”:企业数字化与出口产品转换[J]. 中国工业经济, 2024(8):61-79.
|
/
| 〈 |
|
〉 |