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Research on the Path of Big Data Technology Enabling Rural Revitalization against the Background of Hainan Free Trade Port

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DOI: 10.23977/agrfem.2025.080104 | Downloads: 9 | Views: 248

Author(s)

Darun Yang 1, Jiong He 1, Zi Sun 1, Daqin Yang 2

Affiliation(s)

1 College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China
2 Longjie Town Tianqiao Primary School, Bijie, Guizhou, 520500, China

Corresponding Author

Darun Yang

ABSTRACT

This paper delves into the paths and strategies for big data technology to empower rural revitalization under the background of the Han Free Trade Port construction. Based on elaborating the current situation and challenges of big data technology empowering rural revitalization, the paper analyzes the new opportunities brought by Hainan Free Trade Port for big data technology, and proposes specific paths such as strengthening infrastructure construction, cultivating big data talents, integrating data resources, and innov application models. Through the cases of the People's Bank of China Hainan Branch's financial technology empowerment for rural revitalization, the development of the Hain Free Trade Port International Data Center, and the innovation of Hainan rubber purchase financial services, the actual application effects of big data technology in rural revitalization are. Finally, the paper puts forward strategic suggestions from aspects such as policy support, capital investment, publicity and promotion, and evaluation mechanisms, aiming to provide theoretical guidance practical references for big data technology to empower rural revitalization under the background of the Hainan Free Trade Port. 

KEYWORDS

Big data technology; rural revital; data resource integration; financial technology; policy support

CITE THIS PAPER

Darun Yang, Jiong He, Zi Sun, Daqin Yang, Research on the Path of Big Data Technology Enabling Rural Revitalization against the Background of Hainan Free Trade Port. Agricultural & Forestry Economics and Management (2025) Vol. 8: 22-31. DOI: http://dx.doi.org/10.23977/agrfem.2025.080104.

REFERENCES

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