THE IMPACT OF THE COMBINED ECONOMIC SYSTEM OF ARTIFICIAL INTELLIGENCE, BLOCKCHAIN AND BIG DATA ON RURAL ECONOMY IN SOUTHWEST CHINA
Volume 3, Issue 1, Pp 13-19, 2025
DOI: https://doi.org/10.61784/tsshr3130
Author(s)
XueYun Wang1, YiFan Chu2, JingDan Ma3*
Affiliation(s)
1School of Management, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China.
2School of Mechanical engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China.
3School of Marxism, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China.
Corresponding Author
JingDan Ma
ABSTRACT
With the continuous development and innovation of science and technology, artificial intelligence, blockchain and big data have become the representative technologies of the new era, and they play an increasingly important role in the development of economic society. Especially in southwest China, the rural economy is facing many challenges, and these three technologies are widely seen as effective means to solve these problems. This paper first discusses the role of these technologies in the economic field, as well as the potential and challenges they can bring, through a comprehensive introduction to artificial intelligence, blockchain, and big data. Then, according to the specific situation and needs of the rural economy in southwest China, the responsibilities and opportunities in the rural economic development after the combination of these three technologies are deeply analyzed, such as the specific application of artificial intelligence in agricultural production, blockchain in agricultural product traceability, big data in precision poverty alleviation and other aspects, as well as the transformation and driving force of these technologies on the rural economic structure. The results show that the integration of these three technologies can not only improve the efficiency, accuracy and reliability of rural economy, but also open a new door for rural technological innovation and economic development. However, this also raises issues such as technical standards, adaptability, and security, which pose a challenge to policy makers' decision-making. Therefore, relevant preparations should be made to seize opportunities, cope with challenges and promote the vigorous development of rural economy in southwest China.
KEYWORDS
Artificial intelligence; Blockchain; Big data; Rural economy; Fusion application
CITE THIS PAPER
XueYun Wang, YiFan Chu, JingDan Ma. The impact of the combined economic system of artificial intelligence, blockchain and big data on rural economy in southwest China. Trends in Social Sciences and Humanities Research. 2025, 3(1): 13-19. DOI: https://doi.org/10.61784/tsshr3130.
REFERENCES
[1] Liu Yunshuo, Liu Yuanyuan, Zhang Fan, et al. Threat or Challenge: The double-edged sword effect of artificial intelligence use on employee innovation performance. Business review, 2024, (9) : 91-102.
[2] Zhu Han, Wu Sheng. Block chain across chain technology and its security review. Computer application research, 2024: 1-12.
[3] Zhang Xiaoxue, Sun Yingguang. Ai fu can cast on the community consciousness of the Chinese nation logic approach. Academic exploration, 2024: 1-8.
[4] Ding Jianxun, Wang Yunyao, Wu Jiayu, et al. Machine Substitutions: AI applications or factor relative price Changes?. Soft science, 2024: 1-15.
[5] Yang Yongchun, Jian Yuting. Changes and challenges in the development of artificial intelligence era city geography. Journal of geographical, 2024: 1-17. http://kns.cnki.net/kcms/detail/11.1856.p.20240904.0909.002.html.
[6] Wu Jiaying, Yuan Lingyun, Chen Meihong, et al. The block dynamic fragmentation chain model based on node credibility. Computer application research, 2024: 1-10.
[7] Yan Chi. On the construction of artificial intelligence standard and law collaborative governance system. Journal of Beijing institute of technology (social science edition), 2025, 1-15.
[8] Liu Satai, Liu Pengfei, Li Fei. Agricultural science and technology innovation ability and the level of rural economic development of the coupling coordination study. Journal of statistics and decision, 2024, 40(16): 151-155.
[9] Lu Fuying, Yu Xiaoting. The development of rural democratic supervision to. Journal of zhejiang, 2024(5): 219-227.
[10] Feng Zhangwei, Du Bizheng, Yu Zhiyong, et al. Research on investment strategy of new energy vehicle power battery recycling and traceability technology driven by blockchain. Management science in China, 2024: 1-14.
[11] Wang Yiping, Jiang Shiyin. Study on Improving organic composition of agricultural Capital and Promoting high-quality Development of Rural Economy in New Era. Rural Economy, 2024(07): 135-144.
[12] Zhu Weiquan, Feng Xishuo, Shan Hongbo, et al. Research on the development strategy of rural collective economy in the process of rural revitalization. Journal of Agricultural Economics, 2024(07): 48-50.
[13] Gao Peng, Nie Jiajia, Zhu Binxin, et al. Online platform blockchain adoption and distribution model selection strategy considering green product competition. System engineering theory and practice, 2024: 1-25.
[14] Xie Dengke, Zhou Hongfei. Block chain electronic delivery of practical difficulties and deal with. Journal of seeking truth, 2024(03): 115-125.
[15] Hu Xiangpei, Du Mu, Kong Xiangwei, et al. Agricultural products supply chain based on the block chain traceability research review. Journal of management science, 2024, 27(5) : 1-12.
[16] He Y. Research on Public security application and legal regulation of blockchain electronic forensics technology. The rule of law research, 2024(3): 57-71.
[17] Li Jinwei. An analysis of rural economic development in Wuling Mountain Area in Ming and Qing Dynasties -- taking Northeast Guizhou as the center. Agricultural Archaeology, 2024(01): 95-102.
[18] Chang J. Research on the impact of e-commerce sinking on rural economy based on the background of rural revitalization. Agricultural Economics, 2024(02): 127-130.
[19] Yang Lian-Na, Zhang Xin-Yu. Does agricultural trade promote green agricultural development in China? - based on green agricultural total factor productivity perspective. Journal of finance and trade studies, 2024, 35(02): 31-41.