人工智能技术对全球价值链位势提升的驱动检验  

Examination of Artificial Intelligence Technology in Driving the Advancement of Global Value Chain Positioning

作　　者：唐先华 TANG Xian-hua(Chongqing Institute of Foreign Studies,Chongqing 401120,China)

机构地区：[1]重庆外语外事学院,重庆401120

出　　处：《广东水利电力职业技术学院学报》2025年第2期24-28,58,共6页Journal of Guangdong Polytechnic of Water Resources and Electric Engineering

基　　金：重庆市高等教育教学改革研究项目“智慧教育背景下‘数据结构与算法’课程建设与实践”(234135)。

摘　　要：新一轮以人工智能技术为代表的技术革命改变了传统生产方式,可能促使全球生产力发生变革,进而引发全球价值链位势的变更。对此,基于2011-2020年39个经济体数据,对全球价值链位势进行测度,并利用系统GMM(Gaussian Mixture Module)动态面板模型实证检验人工智能技术对全球价值链位势提升的影响机理。研究发现,人工智能技术可显著驱动全球价值链位势提升,主要通过减少生产成本、提高全要素生产率发挥促进作用。分组检验结果表明,相较于发展中国家,人工智能技术的驱动作用对发达国家的影响更大;人工智能技术对低、中高、高技术行业均可发挥显著促进作用,但对中低技术行业并无明显影响。The new wave of technological revolution,represented by artificial intelligence,has transformed traditional production methods,potentially driving a shift in global productivity and consequently altering global value chain(GVC)positioning.In response,this study measures GVC positioning using data from 39 economies between 2011 and 2020 and empirically examines the impact mechanism of AI technology on GVC advancement through a dynamic panel model based on the GMM(Gaussian Mixture Module)system.The findings reveal that AI technology significantly drives the enhancement of GVC positioning,primarily by reducing production costs and improving total factor productivity.Group testing results indicate that the driving effect of AI technology is more pronounced in developed countries compared to developing ones.Additionally,AI technology has a significant positive impact on low,medium-high,and high-tech industries but shows no significant effect on medium-low-tech industries.

关 键 词：人工智能技术 全球价值链位势 低端锁定 生产成本 全要素生产率 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F424[自动化与计算机技术—控制科学与工程]