Digital Economy Enabling High-Quality Manufacturing Development: Evidence from Chinese Provincial Data
- DOI
- 10.2991/978-94-6463-222-4_2How to use a DOI?
- Keywords
- Digital economy; Manufacturing; Innovation effect; Resource allocation efficiency; Mediation effect
- Abstract
Shifting growth drivers and optimizing the economic structure is the only way to achieve high-quality development of China’s manufacturing sector. The digital economy can effectively improve the level of innovation and the efficiency of resource allocation, which is theoretically beneficial to enabling high-quality development of manufacturing industry. An empirical is conducted based on China’s inter-provincial panel data from 2013 to 2020. The findings demonstrate that the development of digital economy can significantly promote the high-quality development of manufacturing industry, and the influence is more prominent in the economically developed regions. Besides, the results of mediation test show that digital economy can indirectly drive the high-quality development of manufacturing industry not only through the independent intermediary path of innovation effect and resource allocative efficiency, but also the chain intermediary channel of “innovation effect -- resource allocative efficiency”.
- 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.
Cite this article
TY - CONF AU - Rong Xu AU - Huixian Yao PY - 2023 DA - 2023/08/28 TI - Digital Economy Enabling High-Quality Manufacturing Development: Evidence from Chinese Provincial Data BT - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023) PB - Atlantis Press SP - 4 EP - 22 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-222-4_2 DO - 10.2991/978-94-6463-222-4_2 ID - Xu2023 ER -