Study on the Influence of Artificial Intelligence in Advancing Rural Industrial Revitalization

DOI: https://doi.org/10.62517/jike.202504112

Author(s)

Xinda Lin

Affiliation(s)

Jiangxi Normal University, Nanchang, Nanchang, China

Abstract

As a key technology driving the latest wave of technological innovation and industrial transformation, whether artificial intelligence can become an important means to achieve rural industrial revitalization is worth further research. The results showed that: (1) artificial intelligence has a significant positive promoting effect on the revitalization of rural industries in China, and (2) compared to the central and western regions, the promoting effect of artificial intelligence on rural industry revitalization is more significant in the eastern region. In addition, in areas with a high degree of population aging, the demand and impact of artificial intelligence technology in rural industrial revitalization are more urgent and significant. (3) Agricultural technological innovation, industrial structure rationalization, and labor productivity serve as mediating factors in the influence of artificial intelligence on rural industrial revitalization. Based on this, it is necessary to pay attention to the differences in the empowerment effects of artificial intelligence, fully leverage the 'leading goose' effect of artificial intelligence, and accelerate the effective connection between artificial intelligence and rural industrial revitalization.

Keywords

Artificial Intelligence; Rural Industrial Revitalization; Double Fixed Effects Model; Panel Threshold Model

References

[1]Guo Junhua, Lu Jingyu the Mode Selection and Path of Promoting Rural Revitalization through Industrial Prosperity. Journal of Northwest University (Philosophy and Social Sciences Edition), 2021, 51 (06): 42-51. [2]Zhu Yuming, Liu Caihong, Mu Bingxu Research on Policy oriented Rural Industrial Revitalization Model and Guarantee System from the Perspective of Economic Sustainable Development. Rural Economy, 2022, (09): 33-41 [3]Guo Kaiming Development of Artificial Intelligence, Industrial Structure Transformation and Upgrading, and Changes in Labor Income Share. Management World, 2019, 35 (07): 60-77+02-203. [4]Wen Fengan Digital Rural Construction: Importance, Practical Challenges, and Governance Paths. Guizhou Social Sciences, 2022, (04): 147-153. [5]Zhang Ting, Li Minrong, Xu Yanmei Construction and Empirical Study of Evaluation Index System for Rural Revitalization. Management World, 2018, 34 (08): 99-105. [6]Xu Xue, Wang Yongyu Measurement of the level of rural revitalization in China, decomposition of regional differences, and dynamic evolution. Quantitative Economic and Technological Economic Research, 2022, 39 (05): 64-83. [7]Yang Xianming, Wang Zhige Artificial Intelligence, Fiscal Function, and the Quality of China's Economic Development. Macro Quality Research, 2023, 11 (04): 49-66. [8]Sun Zao, Hou Yulin How industrial intelligence reshapes the employment structure of labor force. China Industrial Economy, 2019, (05): 61-79. [9]Xu Weixiang, Wang Rui, Liu Chengjun, etc Research on the Spatiotemporal Evolution Characteristics and Impact Mechanisms of Agricultural Science and Technology Innovation in China. China Science and Technology Forum, 2021, (08): 108-119.