Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110103
Title: Digital industry agglomeration and urban innovation : evidence from China
Authors: Lu, D 
Hui, ECM
Shen, J 
Shi, J
Issue Date: Dec-2024
Source: Economic analysis and policy, Dec. 2024, v. 84, p. 1998-2025
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.
Keywords: Data capital
Digital industry agglomeration
Digital technology spillover
Urban innovation
Publisher: Elsevier Australia
Journal: Economic analysis and policy 
EISSN: 2204-2296
DOI: 10.1016/j.eap.2024.10.047
Appears in Collections:Journal/Magazine Article

Open Access Information
Status embargoed access
Embargo End Date 2026-12-31
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

33
Citations as of Apr 14, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.