Research Article
Impact of Artificial Intelligence on Global Value Chain Networks: An Evaluation Based on Fixed Effect Regression Models
@INPROCEEDINGS{10.4108/eai.26-5-2023.2334471, author={Heng Lyu and Dongwen Li and Huiying Fang and Xiaoxin Huang and Zili Chen and Hanzhen Huang}, title={Impact of Artificial Intelligence on Global Value Chain Networks: An Evaluation Based on Fixed Effect Regression Models}, proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={MSEA}, year={2023}, month={7}, keywords={global value chain artificial intelligence intelligent robot industrial structure fixed effect model}, doi={10.4108/eai.26-5-2023.2334471} }- Heng Lyu
Dongwen Li
Huiying Fang
Xiaoxin Huang
Zili Chen
Hanzhen Huang
Year: 2023
Impact of Artificial Intelligence on Global Value Chain Networks: An Evaluation Based on Fixed Effect Regression Models
MSEA
EAI
DOI: 10.4108/eai.26-5-2023.2334471
Abstract
Economic globalization has made countries in the global value chain closely linked in economic and trade exchanges. The emergence of artificial intelligence has led to significant changes in the global value chain, and has a significant impact on the economies and economic structures of countries around the world. Fixed effect regression models can perform effect analysis under large sample data, so this article analyzed the impact of artificial intelligence combined with fixed effect regression models. Firstly, by introducing the changes in the network structure of the global value chain, the driving role of artificial intelligence technology was derived. Finally, regression models were used to conduct data statistics and predictive analysis from two aspects: the market revenue scale of artificial intelligence and the product quality level of production. The data showed that the global AI market revenue scale would exceed 3 trillion yuan by 2024, and the quality of products produced by machines was above 90%, which was high-quality products, while the quality level of products produced by humans was mostly around 80%. Therefore, it can be concluded that AI would completely change the industrial division network in the global value chain, and can bring greater economic benefits to countries in the value chain network that develop AI industries.
