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AI-Driven Digital Transformation of China’s Agribusiness: Impact on Total Factor Productivity

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成果类型:
期刊论文
作者:
Lei Li*;Liu-Qing Yue
通讯作者:
Lei Li
作者机构:
[Lei Li; Liu-Qing Yue] School of Business, Hunan Agricultural University, Changsha, Hunan, P. R. China
通讯机构:
[Lei Li] S
School of Business, Hunan Agricultural University, Changsha, Hunan, P. R. China
语种:
英文
关键词:
Digital transformation;agribusiness;total factor productivity;China
期刊:
International Journal of High Speed Electronics and Systems
ISSN:
0129-1564
年:
2025
机构署名:
本校为第一且通讯机构
院系归属:
商学院
摘要:
This study examines the impact of artificial intelligence (AI)-driven digital transformation on the total factor productivity (TFP) of agricultural enterprises listed on the Shanghai and Shenzhen A-share markets from 2013 to 2023. The results show that AI-driven digital transformation significantly boosts TFP by enhancing governance and optimizing human capital. The effect is more pronounced in enterprises facing high market competition, environmental uncertainty, and relevant diversification. Managers with IT expertise amplify this positive effect, while those with agricultural backgrounds te...

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