Back to Search Start Over

Manufacturing intelligentization and technological innovation: Perspectives on intra-industry impacts and inter-industry technology spillovers.

Authors :
Zhang, Aili
Zhu, Han
Sun, Xinyu
Source :
Technological Forecasting & Social Change; Jul2024, Vol. 204, pN.PAG-N.PAG, 1p
Publication Year :
2024

Abstract

This study empirically analyzes the impacts of manufacturing intelligentization on technological innovation using panel data from 29 manufacturing industries in China for the period 2012–2019. The research findings indicate that manufacturing intelligentization has significantly positive impacts on intra-industry technological innovation. Moreover, technological innovation exhibits path dependence, in which prior innovation accumulation is advantageous for current technological innovation. Furthermore, the spatial Durbin model indicates that intelligentization has both horizontal and vertical technology spillover effects on technological innovation. Specifically, the intelligentization of horizontal- and forward-linked industries has positive impacts on technological innovation in the focal industry. Additionally, technological innovation exhibits significant spatiotemporal dependence, as manifested by the negative spillover effects of prior technological achievements in other industries on current technological innovation in the focal industry. • Manufacturing intelligentization can significantly promote intra-industry technological innovation. • Technological innovation exhibits path dependence: prior innovation fosters current technological innovation exhibits. • Manufacturing intelligentization has horizontal and vertical technology spillover effects on technological innovation. • Technological innovation exhibits negative spatiotemporal dependence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00401625
Volume :
204
Database :
Supplemental Index
Journal :
Technological Forecasting & Social Change
Publication Type :
Academic Journal
Accession number :
177564427
Full Text :
https://doi.org/10.1016/j.techfore.2024.123418