The impact of the integration of science, technology, and finance on innovation in listed agricultural enterprises through the lens of digital transformation

Digitisation enables the integration of science, technology and finance, and this trend toward integration can in turn enhance the innovation efficiency of listed agricultural enterprises. By leveraging the quasi-natural experiment of China's 2011 pilot program for technology finance – also known as science, technology, and finance, this paper uses the difference-in-differences (DID) model to demonstrate that the science and technology finance policy positively impacts the innovation levels of agriculture-related listed enterprises. That said, the policy's effect varies across different regions and enterprise sizes. Furthermore, moderating-effect analysis reveals that the digitalisation level of agriculture-related listed enterprises is a critical factor, while the evolutionary game model elucidates this factor's underlying mechanism. Based on these findings, policy recommendations are proposed to further develop science and technology finance platforms for agricultural-related listed enterprises.

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Publication Details

Journal
Agricultural Economics (Zemědělská ekonomika)
Published
2026-02-04
DOI
https://doi.org/10.17221/22/2025-agricecon
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00

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article

The impact of the integration of science, technology, and finance on innovation in listed agricultural enterprises through the lens of digital transformation

Nana Chai, Huini Zhong, Fanye Kong, Baofeng Shi
Agricultural Economics (Zemědělská ekonomika)
Smart Agriculture and AI
article

The impact of the integration of science, technology, and finance on innovation in listed agricultural enterprises through the lens of digital transformation

Nana Chai, Huini Zhong, Fanye Kong, Baofeng Shi
article en

Abstract

Digitisation enables the integration of science, technology and finance, and this trend toward integration can in turn enhance the innovation efficiency of listed agricultural enterprises. By leveraging the quasi-natural experiment of China's 2011 pilot program for technology finance – also known as science, technology, and finance, this paper uses the difference-in-differences (DID) model to demonstrate that the science and technology finance policy positively impacts the innovation levels of agriculture-related listed enterprises. That said, the policy's effect varies across different regions and enterprise sizes. Furthermore, moderating-effect analysis reveals that the digitalisation level of agriculture-related listed enterprises is a critical factor, while the evolutionary game model elucidates this factor's underlying mechanism. Based on these findings, policy recommendations are proposed to further develop science and technology finance platforms for agricultural-related listed enterprises.

Agricultural Economics (Zemědělská ekonomika)Vol. 72(2)
National Natural Science Foundation of China
Openalex Percentile: Top 67%
Smart Agriculture and AI
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