EconPapers    
Economics at your fingertips  
 

Who leads the chain? Deciphering the trajectory of global value network in technology-intensive manufacturing and innovation effects

Yingjie Yu, Debin Du and Qixiang Li

Technological Forecasting and Social Change, 2025, vol. 219, issue C

Abstract: Amid the ongoing technological revolution and global industrial restructuring, technology-intensive manufacturing has become a core field of international innovation competition. This study adopts a network perspective to analyze the structural dynamics of global value creation, moving beyond traditional linear value chain analysis. Using global value-added trade data from 1995 to 2020, we apply social network analysis to map the evolution of the global value network and assess the impact of national network positions on innovation performance. The results reveal an increasingly hierarchical, pyramid-shaped structure centered on the U.S. and China, with the former leading input chains and the latter dominating output chains. The network also exhibits growing asymmetry and small-world properties. Fixed-effects regression results show that countries with higher weighted degree and betweenness centrality achieve superior innovation outcomes, supporting the role of network structure in shaping innovation through knowledge spillovers, integration, and filtering. These findings highlight the strategic importance of global network positioning in enhancing national innovation capacity.

Keywords: Technology-intensive manufacturing; Global value chain (GVC); Global value network (GVN); Social network analysis (SNA); Core–periphery structure; Network centrality; National innovation effect (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162525002896
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:219:y:2025:i:c:s0040162525002896

DOI: 10.1016/j.techfore.2025.124258

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-08-29
Handle: RePEc:eee:tefoso:v:219:y:2025:i:c:s0040162525002896