Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Analysis of the Influencing Factors of High-Tech Service Industry Agglomeration on Manufacturing Upgrading Under Information Technology—Based on Two-Way Fixed Effect Model

Authors
Dejun Song1, Qianru Zhao1, *
1Modern Service Industry, Harbin University of Commerce, Harbin, Heilongjiang, China
*Corresponding author. Email: 1510669182@qq.com
Corresponding Author
Qianru Zhao
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_137How to use a DOI?
Keywords
High-Tech Service Industry Agglomeration; Manufacturing Upgrading; Two-Way Fixed Effect Model; Information Technology
Abstract

With the rapid growth of 5G technology, Industrial Internet and other new generation of the information technology industry, greatly promote the development of high-tech services, thus accelerating the transformation and upgrading of the manufacturing industry. The paper uses panel data from 31 provinces in China from 2008 to 2019 to construct a comprehensive index of manufacturing upgrading by principal component analysis and empirically analyzes how the high-tech services industry agglomeration effects on manufacturing’s transformation and upgrading by using a two-way fixed-effect model. The results show that the agglomeration of high-tech service industries has a significant role in promoting the transformation and upgrading of the manufacturing industry, and the level of foreign direct investment, human capital and government participation play a role in promoting the transformation and upgrading of the manufacturing industry, while the level of economic development and fixed asset investment have a restraining effect on the transformation and upgrading of the manufacturing industry.

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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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
978-94-6463-030-5
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_137How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Dejun Song
AU  - Qianru Zhao
PY  - 2022
DA  - 2022/12/20
TI  - Analysis of the Influencing Factors of High-Tech Service Industry Agglomeration on Manufacturing Upgrading Under Information Technology—Based on Two-Way Fixed Effect Model
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1376
EP  - 1384
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_137
DO  - 10.2991/978-94-6463-030-5_137
ID  - Song2022
ER  -