Does Artificial Intelligence Promote the Business Performance of Agricultural Enterprises

Authors

  • Yutao Liang School of Economics and Management, Guangxi Normal University, Guilin, Guangxi, China Author

DOI:

https://doi.org/10.71222/ze0nf816

Keywords:

artificial intelligence, agriculture, business performance, innovation

Abstract

Artificial intelligence (AI) plays a pivotal role in advancing the development of agricultural enterprises and is essential for enhancing their business performance. This study empirically investigates the influence of AI on the operational performance of agricultural firms in China, drawing on data from A-share listed agricultural companies on the Shanghai and Shenzhen stock exchanges from 2003 to 2023. A fixed-effects model is employed to examine both the effects of AI and the underlying mechanisms. The empirical results show that AI significantly boosts the business performance of agricultural enterprises, with particularly pronounced effects among non-high-tech firms, non-heavy-pollution enterprises, and asset-intensive industries. AI also exerts a stronger positive impact on firms in their growth stage, whereas its effect on mature enterprises is not statistically significant. Mechanism analysis reveals that AI enhances performance by easing financing constraints, strengthening organizational resilience, and promoting collaborative R&D. Moreover, policy measures-such as government innovation subsidies-substantially amplify the positive impact of AI on firm performance. Based on these findings, the study recommends strengthening AI-driven technological innovation and application, designing differentiated policy measures tailored to the needs of various types of agricultural enterprises, enhancing complementary capabilities for smart transformation, and optimizing organizational structures to further unlock AI's potential in improving business performance.

References

1. J. Mu, and J. Z. Zhang, "Artificial intelligence marketing usage and firm performance," Journal of the Academy of Marketing Science, pp. 1-54, 2025.

2. Y. Liu, T. C. Ho, R. Omar, and B. Ning, "Green entrepreneurial leadership and AI-driven green process innovation: Advancing environmental sustainability in the Traditional Chinese Medicine industry," Journal of Environmental Management, vol. 375, p. 124438, 2025. doi: 10.1016/j.jenvman.2025.124438

3. H. Xie, and F. Wu, "Artificial intelligence technology and corporate ESG performance: Empirical evidence from Chinese-listed firms," Sustainability, vol. 17, no. 2, p. 420, 2025. doi: 10.3390/su17020420

4. A. Rashid, N. Baloch, R. Rasheed, and A. H. Ngah, "Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country," Journal of Science and Technology Policy Management, vol. 16, no. 1, pp. 42-67, 2025. doi: 10.1108/jstpm-04-2023-0050

5. I. K. Magableh, M. H. Mahrouq, M. A. Ta'Amnha, and H. A. Riyadh, "The role of marketing artificial intelligence in enhancing sustainable financial performance of medium-sized enterprises through customer engagement and data-driven decision-making," Sustainability, vol. 16, no. 24, p. 11279, 2024.

6. M. D. A. Al-Shboul, "Do artificial intelligence system adoptions foster production management supply chain performance in pharmaceutical manufacturing firms? An empirical exploring study from the MENA region," Business Process Management Journal, vol. 30, no. 7, pp. 2427-2455, 2024.

7. J. Wang, Y. Liu, W. Wang, and H. Wu, "Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China," Technology in Society, vol. 79, p. 102751, 2024. doi: 10.1016/j.techsoc.2024.102751

8. A. Wang, K. Luo, and Y. Nie, "Can artificial intelligence improve enterprise environmental performance: Evidence from China," Journal of Environmental Management, vol. 370, p. 123079, 2024. doi: 10.1016/j.jenvman.2024.123079

9. C. Zhang, and J. Yang, "Artificial intelligence and corporate ESG performance," International Review of Economics & Finance, vol. 96, p. 103713, 2024. doi: 10.1016/j.iref.2024.103713

10. J. Li, and X. Jin, "The Impact of Artificial Intelligence Adoption Intensity on Corporate Sustainability Performance: The Moderated Mediation Effect of Organizational Change," Sustainability, vol. 16, no. 21, p. 9350, 2024. doi: 10.3390/su16219350

Downloads

Published

08 December 2025

Issue

Section

Article

How to Cite

Liang, Y. (2025). Does Artificial Intelligence Promote the Business Performance of Agricultural Enterprises. Economics and Management Innovation, 2(6), 109-118. https://doi.org/10.71222/ze0nf816