人工智能对纺织业国际分工地位提升的影响研究  被引量:9

Research on the impact of artificial intelligence on international specialization status in textile industry

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作  者:马文景 顾国达[1] 李建琴[1] MA Wenjing;GU Guoda;LI Jianqin(School of Economics,Zhejiang University,Hangzhou 310030,China)

机构地区:[1]浙江大学经济学院,杭州310058

出  处:《丝绸》2022年第6期1-9,共9页Journal of Silk

基  金:国家自然科学基金面上项目(71973120);财政部和农业农村部国家现代农业产业技术体系资助项目(CARS-18-ZJ0601)。

摘  要:随着云计算、物联网和大数据等新技术的兴起,人工智能发展迈入新的阶段,正在引领纺织行业多领域变革。本文基于世界投入产出表,构建全球价值链地位指数衡量一国国际分工地位,运用多维面板固定效应模型考察人工智能对纺织业国际分工地位的作用机制及影响效应,拓展了纺织产业国际分工的研究边界。研究发现:人工智能发展对纺织业全球价值链地位提升效用显著;机制检验表明,人工智能主要通过技术创新、生产效率和人力资本三个渠道对纺织业国际分工地位产生影响,其中通过生产效率提升产业国际分工地位的作用还有待进一步激发。With the continuous iteration of digital technologies,Artificial Intelligence(AI)is emerging as a core strength leading the technological revolution and industrial transformation.Furthermore,since the outbreak of COVID-19 epidemic,AI has been promoted to a new high.To build new international competitiveness,AI has been undoubtedly seen as an important avenue to improve the status of international specializations.Under the opportunity of global value chain(GVC)reconstruction,the traditional comparative advantages such as labor cost are gradually weakened.The textile industry urgently needs to improve the core competitiveness of products through intelligent manufacturing,and upgrade from the processing and manufacturing link with the lowest added value to the textile machinery production and product design link with higher added value.Does the current development level of AI have an obvious driving effect on the international specializations status of textile industry in various countries?What is the specific mechanism?The discussion of these problems has theoretical value and important practical significance for the formulation of AI-related policies,the transformation of textile industry and the promotion path selection of the international specializations status.This paper measures the comprehensive development index of AI in 28 countries from 2010 to 2017.Based on the world input-output table,a global value chain position index is constructed to measure a country’s status of international specializations.The two indicators are connected within a unified framework,and the multi-dimensional panel fixed effect model is used for empirical test of textile industry.Then,using the intermediary effect model,this paper analyzes the influence mechanism of AI on the status of international specializations from three channels:technological innovation,production efficiency and human capital.There are three possible marginal contributions of this paper:First,the research on integrated evaluation systems for AI development

关 键 词:人工智能 纺织业 产业升级 国际分工 全球价值链 投入产出 

分 类 号:F746.21[经济管理—国际贸易]

 

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