Citation:
Zhiqing DONG, Yusong TAN and He ZHAO. Does Artificial Intelligence Technology Induce Industry Reverse Gradient Transfer[J]. Academic Monthly, 2022, 54(8): 55-66.
Does Artificial Intelligence Technology Induce Industry Reverse Gradient Transfer
-
Abstract
Literature focuses the effect of artificial intelligence technology on the labor and employment, while generally neglecting to investigate the impact on industrial transformation and industrial transfer. To this end, this article empirically tests the impact of artificial intelligence technology development on industrial transfer based on the artificial intelligence patent and industrial transfer index. The research conclusions show that the development of artificial intelligence technology is helpful to induce industry return; from the perspective of the path of action, the labor substitution effect, technology spillover effect and economic agglomeration effect of artificial intelligence technology are one important cause of inducing industry backflow. There is obvious industry heterogeneity in the impact of artificial intelligence technology, that is, it can significantly increase the inflow of labor-intensive and technology-intensive industries, but the impact on capital-intensive industries is not obvious. At the same time, the effect of artificial intelligence technology on industrial transfer is subject to the constraints of the integration of primary and secondary industries and the intelligent environment. The paper provides important theoretical support and policy enlightenment for attracting industry inflows.
-
-
References
-
Access
-
-
[1]
HE Da'an
, LI Huaizheng
. Digital Adjustment Mechanism in the Application of Artificial General Intelligence. Academic Monthly,
2026, 58(7): 54-63.
-
[2]
YOU Yang
. How Does AI Understand Language Meaning. Academic Monthly,
2026, 58(8): 16-28.
-
[3]
ZHANG Yi
. Cognitive Transformation in Historical Research in the Age of AI——“Fluency-Induced Occlusion” in LLM-Assisted Reading of Diplomatic Manuscripts. Academic Monthly,
2026, 58(8): 29-40.
-
[4]
WAN Yong
, LI Yalan
. Realizing the Function of Copyright Law in the Era of Artificial Intelligence. Academic Monthly,
2026, 58(7): 104-116.
-
[5]
WANG Qian
. AI-Generated Content and Copyright Liability: Paradoxes and Resolutions. Academic Monthly,
2026, 58(8): 118-132.
-
[6]
LIN Xifen
, FU Zhangyi
. How Does Public Trust in the Judiciary Shape Acceptability of Judges' AI-assisted Adjudications——An Empirical Study Based on Questionnaire Data. Academic Monthly,
2026, 58(8): 133-144.
-
[7]
XU Xiangdong
. Consciousness and The Moral Status of AI Agents. Academic Monthly,
2026, 58(8): 5-15.
-
[8]
LIU Chuang
, LIU Sijia
. Conceptual Engineering: A Way of Understanding Mind and Intelligence in the Future. Academic Monthly,
2026, 58(1): 11-19.
-
[9]
SHI Dan
, LI Peng
. The Least-Cost Path for Energy Use in the Process of Modernization——Scenario Analysis and Theoretical Examination. Academic Monthly,
2026, 58(1): 45-58.
-
[10]
WEN Jun
. From Technical Tokens to Social Tokens: the Ontological Construction of Token Sociology. Academic Monthly,
2026, 58(8): 145-156.
-
-