谁领导链条?解读技术密集型制造业全球价值网络轨迹与创新效应

IF 13.3 1区 管理学 Q1 BUSINESS
Yingjie Yu , Debin Du , Qixiang Li
{"title":"谁领导链条?解读技术密集型制造业全球价值网络轨迹与创新效应","authors":"Yingjie Yu ,&nbsp;Debin Du ,&nbsp;Qixiang Li","doi":"10.1016/j.techfore.2025.124258","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"219 ","pages":"Article 124258"},"PeriodicalIF":13.3000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Who leads the chain? Deciphering the trajectory of global value network in technology-intensive manufacturing and innovation effects\",\"authors\":\"Yingjie Yu ,&nbsp;Debin Du ,&nbsp;Qixiang Li\",\"doi\":\"10.1016/j.techfore.2025.124258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":48454,\"journal\":{\"name\":\"Technological Forecasting and Social Change\",\"volume\":\"219 \",\"pages\":\"Article 124258\"},\"PeriodicalIF\":13.3000,\"publicationDate\":\"2025-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technological Forecasting and Social Change\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0040162525002896\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162525002896","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

在技术革命和全球产业结构调整的背景下,技术密集型制造业已成为国际创新竞争的核心领域。本研究超越传统的线性价值链分析,采用网络视角分析全球价值创造的结构动态。本文利用1995 - 2020年的全球增值贸易数据,运用社会网络分析方法绘制了全球价值网络的演化图,并评估了国家网络地位对创新绩效的影响。结果显示,以美国和中国为中心的金字塔形结构日益分层,前者主导投入链,后者主导产出链。该网络还显示出越来越多的不对称性和小世界特性。固定效应回归结果显示,权重度和中间中心越高的国家创新成果越好,支持了网络结构通过知识溢出、整合和过滤对创新的塑造作用。这些发现凸显了全球网络定位对提升国家创新能力的战略重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Who leads the chain? Deciphering the trajectory of global value network in technology-intensive manufacturing and innovation effects
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信