首页|人工智能与企业专业化分工——基于文本分析法的研究

人工智能与企业专业化分工——基于文本分析法的研究

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本文以2007-2022年中国A股上市企业为研究对象,采用文本分析法构造企业层面的人工智能指标,并实证考察人工智能对企业专业化分工的影响和作用机理.研究发现:人工智能显著促进了企业专业化分工,且该结论经一系列稳健性检验后仍成立.机制研究发现,人工智能通过降低企业搜寻成本、交易谈判成本和交易对手违约造成的损失进而提高企业专业化分工水平.异质性分析表明,人工智能对企业专业化分工的促进作用在非国有企业、制造业企业和沿海地区的企业中更显著.进一步研究发现,人工智能通过推动专业化分工进而促进企业劳动生产率和全要素生产率提升,最终提高企业的经营绩效.文章为推动人工智能与实体经济的深度融合,实现经济的高质量发展提供了一定的参考.
Artificial Intelligence and Vertical Specialization:From Evidence of Text Analysis
This study focuses on A-share listed firms from 2007 to 2022,utilizing text analysis to construct AI indicator at the firm level to empirically examine the effect of AI on vertical specializa-tion of enterprises.The results show that AI significantly enhances firms'vertical specialization and the conclusion is still valid under a series of robustness tests.Mechanism studies find that AI increa-ses the level of vertical specialization of firms by reducing their search costs,contracting costs,and losses due to counterparty defaults.Heterogeneity analyses demonstrate that the influence of AI on firms'vertical specialization is particularly significant among non-state-owned firms,manufacturing firms,and firms in coastal regions.Further research finds that AI promotes labour productivity and total factor productivity by promoting firms'vertical specialization and ultimately improves business performance.The article provides some references for promoting the deep integration of AI with the real economy and achieving high-quality development of the economy.

AIIntelligent ManufacturingVertical SpecializationText Analysis

王朔、熊凯军、邓国营

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海南大学 国际商学院,海南 海口 570228

四川大学 经济学院,四川 成都 610065

人工智能 智能制造 专业化分工 文本分析法

海南省自然科学基金青年项目海南省研究生创新科研项目

724QN239Qhyb2023-12

2024

中南财经政法大学学报
中南财经政法大学

中南财经政法大学学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.854
ISSN:1003-5230
年,卷(期):2024.(5)
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