Research on the Impact of China's Artificial Intelligence on the Transformation and Upgrading of Industrial Structure Based on Dynamic Panel Data Model

DOI

10.2991/978-94-6463-042-8_54How to use a DOI?

Keywords

Artificial intelligence; Industrial structure transformation and upgrading; Generalized moment estimation

Abstract

In the new era, China’s economy has changed from a high-speed growth stage to a high-quality development stage, facing the new task of industrial structure transformation and upgrading, and it is urgent to cultivate new kineticenergy. At present, scholars generally believe that the leading technology of new scientific and technological revolution with artificial intelligence as its core is the most capable and promising weapon to promote the transformation and upgrading of China's industrial structure. Therefore, this thesis uses the panel data of 31 provinces, municipalities and autonomous regions in China from 2008 to 2020, takes artificial intelligence as the core explanatory variable, selects the level of economic development, the degree of opening to the outside world, foreign direct investment and the degree of government intervention as the control variables, and makes an empirical analysis by using generalized moment estimation. It is found that the development level gap of artificial intelligence in the eastern, central and western regions of China is obvious, but it tends to decrease year by year. On the whole, artificial intelligence can promote the transformation and upgrading of China's industrial structure.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bowei Wu
AU  - Yanyan Jiang
AU  - Hanzhi Liu
PY  - 2022
DA  - 2022/12/29
TI  - Research on the Impact of China's Artificial Intelligence on the Transformation and Upgrading of Industrial Structure Based on Dynamic Panel Data Model
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 366
EP  - 374
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_54
DO  - 10.2991/978-94-6463-042-8_54
ID  - Wu2022
ER  -