Back Issues 11-20

AN INVESTIGATION AND RESEARCH OF CHINA'S AGRICULTURAL SUPPLY- SIDE REFORM BY APPLYING BIBLIOMETRIC ANALYSIS ON CNKI'S DATA MINING

Che-Chang Chang

Department of International Business of Guangzhou Huashang College,  

Guangdong 51300, China

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Yaling Chen

Shenzhen Middle School, Shenzhen, Guangdong 51800, China

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Abstract

In the age of the digital economy, leveraging digital information to drive industrial expansion has become paramount. Since 1999, China has progressively integrated the digital economy into its growth strategy, significantly advancing in many domains. However, integrating big data to revolutionize its agricultural sector has yet to catch up with other digital innovations. Despite many studies focusing on e-commerce and platform development, the application of big data in the agricultural supply side still needs to be explored. This research seeks to bridge this knowledge gap through the Mapping and trending method, meticulously analyzing a curated selection of articles from CNKI, China's premier academic platform, spanning 2000 to 2022. Central to our investigation is the transformative power of big data in forming agricultural clusters. Through an integrative approach encompassing induction, comprehensive synthesis, and profound analysis, we shed light on innovative techniques to enhance agricultural product quality, 

customizing them based on their unique characteristics. Our research is paving the way for China's more sustainable and tech-driven agricultural future.

Keywords: digital economy, data mining, agriculture