Research on the Influence Mechanism of Digital Technology Industry Development on Industrial Structure——Based on Output Perspective
- 10.2991/978-94-6463-024-4_6How to use a DOI?
- digital technology; digital economy; industrial structure; grey relational entropy-dissipation theory
In recent years, the development and application of emerging digital technologies such as big data, artificial intelligence, cloud computing, and blockchain have continuously reshaped my country’s industrial structure. From the perspective of digital technology output, the digital economy is used as a proxy variable of the development level of digital technology to study the relationship between digital technology and industrial structure upgrading. The research based on grey relational entropy and dissipation theory found that the digital technology industry has become a continuous source of power for the upgrading of industrial structure. Among them, digital industrialization is the leading condition for the digital economy to play the role of industrial structure upgrading, and industrial digitization is the key support for the digital economy to play the role of upgrading the industrial structure. The impact of the digital economy on industrial advancement lags behind industrial rationalization. Therefore, China should strengthen support for digital-related technology industries, accelerate the integration of digital technology and traditional industries, drive the industrial digitization with digital industrialization, promote the upgrading of the industrial structure, and achieve high-quality economic development.
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Cite this article
TY - CONF AU - Mian Wang AU - Puchao Li PY - 2022 DA - 2022/12/12 TI - Research on the Influence Mechanism of Digital Technology Industry Development on Industrial Structure——Based on Output Perspective BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 45 EP - 52 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_6 DO - 10.2991/978-94-6463-024-4_6 ID - Wang2022 ER -