Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
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Article Number | 01023 | |
Number of page(s) | 4 | |
Section | Artificial Intelligence and Digital Economy | |
DOI | https://doi.org/10.1051/shsconf/202317001023 | |
Published online | 14 June 2023 |
Has China's OFDI promoted the upgrading of manufacturing structure-- Research based on interprovincial panel model
School of Finance and Economics, Jiangsu University, Zhenjiang, China
* EMAIL: 1436135679@qq.com
With the take off of the Chinese economy, more and more enterprises are investing resources in OFDI, and OFDI and its related economic factors have also had a certain impact on the upgrading of the manufacturing industry. This article studies panel models of 31 provinces in China from 2014 to 2019 using relevant data sources such as the National Bureau of Statistics and the Guotai An Database, and explores the impact of OFDI and its related economic factors on the manufacturing structure. Research has found that OFDI and international trade factors can significantly inhibit the upgrading of manufacturing structure; The per capita income level will have a positive impact on the upgrading of the manufacturing industry structure; The impact of FDI and government fiscal expenditure on the upgrading of manufacturing structure is not significant. In view of the above research results, this paper suggests that the government should adopt appropriate policies to guide OFDI in the manufacturing industry, encourage it to focus on technology intensive or capital intensive industry, and avoid its negative impact leading to "hollowing out" of the manufacturing industry; Enterprises should also optimize their business structure, relocate unnecessary or outdated businesses, invest their main resources in local businesses, and focus on technological upgrades to avoid the adverse effects of OFDI.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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