FROM FIELDS TO FINTECH: ANALYZING DIGITAL INNOVATION AND ITS FINANCIAL PAYOFF IN CHINESE AGRICULTURAL ENTERPRISES

Authors

  • Liu Y. DBA student, Al-Farabi Kazakh National University, Farabi International Business School, Almaty, Kazakhstan
  • Ruziyeva E. A. Candidate of Economic Sciences, Head of the Accounting and Finance Department, Almaty Technological University, Almaty, Kazakhstan
  • Niyetalina G. PhD, Associate Professor, Turan University, Almaty, Kazakhstan

Keywords:

Digital innovation, FinTech, agriculture, China, profitability, productivity, e-commerce, AI, market expansion

Abstract

Digital technologies, from fintech and e-commerce sites to AI and the Internet of Things (IoT), are changing Chinese farming very quickly. This paper looks at how these technologies affect Chinese farms' profits, productivity, and ability to grow their businesses. We examine recent literature and analyse industry data (2018–2023) concerning Chinese publicly traded agricultural companies. Our research shows that inclusive digital finance and fintech solutions greatly increase a company's revenue and profits (Huang & Azman, 2023). Likewise, extensive digital transformation in agricultural enterprises (e.g., the integration of AI, IoT, and blockchain) enhances efficiency and profitability (Yuan, Wu, & Shen, 2025). Digital marketplaces and e-commerce channels help small farmers make more money by reaching more customers and selling more products (Guan, He, & Hu, 2024). In general, we find that fields-to-fintech innovation has real financial benefits: businesses that use digital tools report higher operating income, better yields, and access to new markets. These findings highlight the necessity of supportive policies and investments to advance the digitalisation of China's agricultural sector.

Published

2026-03-16

How to Cite

Liu Y., Ruziyeva E. A., & Niyetalina G. (2026). FROM FIELDS TO FINTECH: ANALYZING DIGITAL INNOVATION AND ITS FINANCIAL PAYOFF IN CHINESE AGRICULTURAL ENTERPRISES. Research Reviews, (12). Retrieved from https://ojs.scipub.de/index.php/RR/article/view/8048

Issue

Section

Economic Sciences