Analyzing the Impact of Biotechnology-Enabled Agricultural Cooperatives on Farmers' Access to Financial Services

Haoyu Li
School of Agriculture and Water Conservancy Project, Suihua University, Suihua, Heilongjiang, 152061, China
Yunhui Zhang
School of Economics and Management, Suihua University, Suihua, Heilongjiang, 152061, China
Zuohe Zhang
School of Agriculture and Water Conservancy Project, Suihua University, Suihua, Heilongjiang, 152061, China

DOI:https://doi.org/10.5912/jcb2534

Abstract:

With the rapid development of science and technology, biotechnology is increasingly widely used in the field of agriculture. From biological breeding to precision agriculture, from agricultural product quality detection to agricultural product traceability, biotechnology provides a strong support for the improvement of agricultural production efficiency, agricultural product quality assurance and agricultural sustainable development. At the same time, the trend of large-scale and industrialized agricultural management is becoming more and more obvious. Agricultural cooperatives, as an important link between farmers and the market, play a key role in promoting the process of agricultural modernization. In order to explore the impact of biotechnology-enabled agricultural cooperatives on farmers’ access to financial services, this paper builds an intelligent analysis system with the support of biotechnology and big data technology and structural equation model. Moreover, this paper uses big data analysis methods to explore whether farmers joining biotechnology-enabled agricultural cooperatives can improve their level of access to financial services. In addition, this paper uses the structural equation model to empirically analyze the influence path and mechanism of biotechnology-enabled agricultural cooperatives on improving farmers’ access to financial services, and clarify the mechanism of biotechnology-enabled agricultural cooperatives on improving rural financial services. Furthermore, this paper takes biotechnology-enabled agricultural cooperatives as an entry point of view to study the issues related to farmers' access to financial services, and enriches the research field of rural finance. Finally, this paper validates the system model after constructing an intelligent factor analysis model. The simulation results show that the method proposed in this paper has a certain effect.