摘要
随着数字技术进步及其在经济各领域的快速应用,其对产业全球价值链(GVC)地位升级的推动作用日益显著。基于OECD-TiVA联合发布TiVA数据库2006—2018年的数据,以64个经济体为研究样本,实证检验数字技术对制造业GVC分工地位升级的影响。研究结果显示:数字技术显著促进制造业GVC分工地位的升级;提高劳动生产率、优化人力资本结构以及刺激消费需求,是数字技术促进制造业GVC分工地位升级的作用机制。异质性分析表明:数字技术对于低互联网发展水平以及中低收入经济体GVC分工地位升级的促进作用更为明显。据此提出,增强数字技术对我国制造业GVC分工地位升级的促进作用,应大幅提升我国数字技术创新和应用能力;增强贸易规则话语权,推动“数字贸易”发展;加快培养数字技术人才,加速推动消费结构升级。
The data generated by digital technology and its applications are significant foundations and core elements of digital economy development,as well as the primary means for a country to achieve digital transformation.They are considered the core of the fourth scientific and technological revolution.In recent years,driven by the continuous iterative innovation of digital technology and its increasing penetration into various economic sectors,the digital economy has developed rapidly and has become an inevitable choice for various economies in the world to promote economic recovery and accelerate economic restructuring.According to the data published in the China Digital Economy Development Research Report(2023),the scale of China's digital economy reached 50.2 trillion yuan in 2022,with a year-on-year growth of 10.3%,and the proportion of digital economy in GDP reached 41.5%.Under the powerful drive of digital technology,the digitalization process of the manufacturing industry is constantly accelerating,and traditional manufacturing industries are transforming into high-level manufacturing industries with digitization and intelligence.The increasing penetration and integration of digital technology into the manufacturing industry chain will also have an increasingly significant impact on the participation of manufacturing industries in various economies of the world in the global value chains(GVC) specialization.To explore the impact of digital technology on the global value chains specialization of manufacturing industry,we first theoretically explains the influencing mechanism from three perspectives:labor productivity,human capital,and changes in consumer demand.Then,based on Trade in Value Added(TiVA) data from 64 sample economies between 2006 and 2018 jointly released by OECD and WTO,a two-way fixed-effects model is constructed for regression analysis,and the robustness and indigeneity of the regression results are tested.Furthermore,through the construction of a mechanism test model,three major mechanisms—�
作者
周升起
衣彩娇
ZHOU Shengqi;YI Caijiao(School of Economics,Qingdao University,Qingdao 266071,China;Shandong World Economic Research Base,Qingdao University,Qingdao 266071,China)
出处
《重庆理工大学学报（社会科学）》
2024年第5期25-39,共15页
Journal of Chongqing University of Technology（Social Science）
基金
山东省社会科学规划项目“数字贸易畅通山东国内国际双循环的机制、路径与对策研究”(22CJJJ17)
青岛大学人文社会科学基金培育项目“全球数字价值链分工下的数字服务贸易发展研究”(RZ215046)。
关键词
数字技术
制造业
全球价值链地位
人力资本
消费需求
digital technology
manufacturing industry
global value chain position
human capital
consumer demand
