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

Year: 2025

Type: article

Abstract: 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 tend to weaken it. AI technologies, such as precision agriculture, automation, and data-driven decision-making, play a crucial role in improving operational efficiency and sustainability in the agricultural sector.

Source: International Journal of High Speed Electronics and Systems

DOI: 10.1142/s012915642540628x

Authors: Lei Li, Liu-Qing Yue

Institution: Hunan Agricultural University

Language: English

Topic: Digitalization and Economic Development in Agriculture

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Zero hunger, Decent work and economic growth, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4411277473

FWCI:

Cites: 75

Cited by:

Related to: 10