Digital industry agglomeration and urban innovation: Evidence from China

IF 7.9 2区 经济学 Q1 ECONOMICS
Danning Lu , Eddie Chi Man Hui , Jianfu Shen , Jianxun Shi
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引用次数: 0

Abstract

This study explores the relationship between digital economy and urban innovation from the perspective of economic agglomeration. Based on a panel data set of 285 Chinese cities from 2009 to 2019 and the classification of the digital industry by the National Bureau of Statistics, this study shows that an increased level of digital industry agglomeration significantly contributes to urban innovation, with more pronounced effects observed in larger cities and those in eastern and western regions. Further analysis of industry heterogeneity reveals that digital industry agglomeration not only boosts innovation within the digital industry but also enhances it in non-digital industries. Additionally, digital industry agglomeration appears more conducive to promoting innovation in green technology industries than in non-green technology industries. The mechanism analysis reveals the mediating effect of data capital accumulation, market size expansion, and digital technology spillover on urban innovation. The Sobel test reveals that data capital accumulation has the largest mediating effect on total patents, while digital technology spillover has the strongest mediating effect on invention patents. This study enriches the existing understanding of the agglomeration effect of the digital industry on urban innovation and sheds light on the mechanisms driving urban innovation in emerging economies.
数字产业集聚与城市创新:来自中国的证据
本研究从经济集聚的角度探讨数字经济与城市创新之间的关系。基于 2009 年至 2019 年中国 285 个城市的面板数据集和国家统计局的数字产业分类,本研究表明,数字产业集聚水平的提高显著促进了城市创新,在较大城市和东西部地区的城市中观察到更明显的效应。对产业异质性的进一步分析表明,数字产业集聚不仅能促进数字产业内部的创新,还能增强非数字产业的创新。此外,与非绿色技术产业相比,数字产业集聚似乎更有利于促进绿色技术产业的创新。机制分析揭示了数据资本积累、市场规模扩张和数字技术溢出对城市创新的中介效应。Sobel 检验显示,数据资本积累对专利总量的中介效应最大,而数字技术溢出对发明专利的中介效应最强。这项研究丰富了现有关于数字产业对城市创新的集聚效应的认识,并揭示了新兴经济体城市创新的驱动机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.80
自引率
9.20%
发文量
231
审稿时长
93 days
期刊介绍: Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.
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