中国制造业高端嵌入全球价值链的过程中是否存在信息技术生产率悖论

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Abstract Digital technology has become a key driver for the transformation and upgrading of the manufacturing sector,with the focus on China's manufacturing industry's ascension within the global value chain being a critical issue for fostering innovation and boosting economic returns.By advancing in value networks,ecological networks,technological networks,and individualized networks,digital technology elevates manufacturing value chains,supply chains,innovation chains,and service chains to new heights.However,whether digital technology can break through the traditional productivity paradox to enhance total factor productivity and ultimately propel China's manufacturing industry to a leading position within the global value chain is a subject worthy of further investigation.Empirical analysis of the UIBE GVC data reveals a significant boost in digital technology's role in deepening China's manufacturing industry's integration within the global value chain.Industry heterogeneity analysis shows that digital advancements have substantial positive effects on technology-intensive,labor-intensive,and capital-intensive sectors in China,with the strongest positive impact observed in capital-intensive industries,where digital technology strengthens the manufacturing sector's ability to integrate within the global value chain.To address the challenges faced during China's digital manufacturing transformation,a collaborative effort involving government guidance,fostering industrial innovation,and promoting enterprise collaboration is essential for collectively advancing the country's manufacturing industry's position within the global value chain.

Key words： Digital technology Manufacturing industry Global value chain ICT productivity paradox

Received: 11 September 2023

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F424.3

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	Song Xianping
	Yu Wenqing

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Song Xianping,Yu Wenqing. Whether There is an ICT Productivity Paradox in the Process of China's Manufacturing Industry Embedding into the High End Global Value Chain[J]. , 2024, 5(8): 23-32.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2024/V5/I8/23

[1]CEIC.劳动生产率[EB/OL].(2022-03-01)[2023-05-12].https://www.ceicdata.com/zh-hans/indicator/united-states/labour-productivity-growth.
[2]BRYNJOLFSSON E,ROCK D,SYVERSON C.Artificial intelligence and the modern productivity paradox:a clash of expectations and statistics[R].NBER Working Paper,2017.
[3]OLINER S D,SICHEL D E.Computers and output growth revisited:how big is the puzzle[J].Brookings Papers on Economic Activity,1994,2:273-231.
[4]JORGENSON D W,STIROH K J.Information technology and growth[J].American Economic Review,1999,89(2):109-115.
[5]AGHION P,JONES B F,JONES C I.Artificial intelligence and economic growth[R].NBER Working Paper,2017.
[6]王永钦,董雯.机器人的兴起如何影响中国劳动力市场——来自制造业上市公司的证据[J].经济研究,2020,55(10):159-175.
[7]杨虎涛.人工智能、奇点时代与中国机遇[J].财经问题研究,2018(12):12-20.
[8]TYSON L D,ZYSMAN J.Automation,AI & work[J].AI & Society,2022,151(2):256-271.
[9]LEE S T,GHOLAMI R,TONH T Y.Time series analysis in the assessment of ICT impact at the aggregate level-lessons and implications for the new economy[J].Information & Management,2005,42(7):1009-1022.
[10]GRAETZ G,MICHAELS G.Robots at work[J].The Review of Economics and Statistics,2018,100(5):753-768.
[11]LU C H.The impact of artificial intelligence on economic growth and welfare[J].Journal of Macroeconomics,2021,69(103342):1-15.
[12]FELDSTEIN M.Underestimating the real growth of GDP,personal income and productivity[J].Journal of Economic Perspectives,2017,31(2):145-164.
[13]GANGOPADHYAY P,JAIN S,BAKRY W.In search of a rational foundation for the massive IT boom in the Australian banking industry:can the IT boom really drive relationship banking[J].International Review of Financial Analysis,2022,82:1-15.
[14]NORDHAUS W D.Are we approaching an economic singularity? Information technology and the future of economic growth[R].NBER Working Paper,2015.
[15]SANIEE I,KAMAT S,PRAKASH S,WELDON M.Will productivity growth return in the new digital era[J].Bell Labs Technical Journal,2017,20:1-21.
[16]LEV B,GU F.The end of accounting and the path forward for investors and managers[M].New Jersey:Wiley,2016.
[17]MCKIBBIN W J,TRIGGS A.Stagnation vs.singularity:the global implications of alternative productivity growth scenarios[M].Washington:Brookings Institution Press,2020.
[18]BLOOM N,SADUN R,REENEN J V.Americans do it better:US multinationals and the productivity miracle[J].American Economic Review,2012,102(1):167-201.
[19]ACEMOGLU D,RESTREPO P.The race between man and machine:implications of technology for growth,factor shares,and employment[J].American Economic Review,2018,108(6):1488-1542.
[20]牛新星,蔡跃洲.中国信息通信技术产业的全要素生产率变化与发展模式:基于ICT细分行业增长来源核算的实证分析[J].学术研究,2019(11):100-109.
[21]左晖,艾丹祥.技术变化方向异性和全要素生产率——来自中国制造业信息化的证据[J].管理世界,2022,38(8):132-159.
[22]汪淼军,张维迎,周黎安.企业信息化投资的绩效及其影响因素:基于浙江企业的经验证据[J].中国社会科学,2007(6):81-93,206.
[23]AKERMAN A,GAARDER I,MOGSTAD M.The skill complementarity of broadband internet[J].The Quarterly Journal of Economics,2015,120(4):1781-1824.
[24]何小钢,梁权熙,王善骝.信息技术、劳动力结构与企业生产率——破解“信息技术生产率悖论”之谜[J].管理世界,2019,35(9):65-80.
[25]何小钢,王善骝.信息技术生产率悖论:理论演进与跨越路径[J].经济学家,2020(7):42-52.
[26]蔡跃洲,张钧南.信息通信技术对中国经济增长的替代效应与渗透效应[J].经济研究,2015,50(12):100-114.
[27]吴友群,卢怀鑫,王立勇.制造业数字化投入对全球价值链分工的影响:基于制造业行业的实证分析[J].中国科技论坛,2022(9):85-94,117.
[28]郭家堂,骆品亮.互联网对中国全要素生产率有促进作用吗[J].管理世界,2016(10):34-49.
[29]王家庭,袁春来,马宁.数字经济发展对产业结构、产业效率的影响:来自省级层面的经验证据[J].中国科技论坛,2022(12):117-127.
[30]阳镇,陈劲,李纪珍.数字经济时代下的全球价值链:趋势、风险与应对[J].经济学家,2022(2):64-73.
[31]蔡跃洲.经济循环中的循环数字化与数字循环化——信息、物质及资金等流转视角的分析[J].学术研究,2022(2):84-90,177.
[32]何文彬.全球价值链视域下数字经济对我国制造业升级重构效应分析[J].亚太经济,2020(3):115-130,152.
[33]张艳萍,凌丹,刘慧岭.数字经济是否促进中国制造业全球价值链升级[J].科学学研究,2022,40(1):57-68.
[34]王军,朱杰,罗茜.中国数字经济发展水平及演变测度[J].数量经济技术经济研究,2021,38(7):26-42.
[35]汪芳,潘毛毛.产业融合、绩效提升与制造业成长:基于1998—2011年面板数据的实证[J].科学学研究,2015,33(4):530-538,548.