To read this content please select one of the options below:

Understanding artificial intelligence: insights on China

Eleonora Veglianti (Department of Economics, Università Telematica Internazionale Uninettuno, Rome, Italy)
Yaya Li (School of Finance and Economics, Jiangsu University School of Finance and Economics, Zhenjiang, China)
Elisabetta Magnaghi (FGES, Université Catholique de Lille, Lille, France)
Marco De Marco (Department of Economics, Università Telematica Internazionale Uninettuno, Rome, Italy)

Journal of Asia Business Studies

ISSN: 1558-7894

Article publication date: 8 February 2021

Issue publication date: 23 March 2022




The high frequency of disruption and dislocation of many industries, the migration to low-cost countries of different assets and activities, the increase in systemic risk, the birth of social and ecological constraints, as well as the new worldwide competitors require businesses and the overall society to change. In a so-called Industry 4.0. era, understanding the impact of artificial intelligence (AI) in developed as well as in underdeveloped economies has become increasingly crucial. The purpose of this study is to shed the light on the peculiarities of Chinese AI assessing the state of art of AI in this unique and valuable context.


Through a research based on a qualitative data analysis, the present paper suggests a new way to analyse AI and to support a better understanding of the local Chinese aspects influencing its development and implementation.


The development and implementation of AI in China required tailor solutions which account for the following three main dimensions: the location (i.e. territorial extension, the administrative boundaries); the government approach; and the human capital.


The analysis presents a broad level activity. In addition, the paper focused on Chinese scientific literature and different types of data (i.e. institutional documents, professional reports, websites and speeches in Chinese). The paper used a multi-faceted approach, including also the tacit knowledge of the authors about the context under investigation.



This study was supported by the National Nature Science Foundation of China Project (No. 71704069).


Veglianti, E., Li, Y., Magnaghi, E. and De Marco, M. (2022), "Understanding artificial intelligence: insights on China", Journal of Asia Business Studies, Vol. 16 No. 2, pp. 324-339.



Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

Related articles