Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)

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The Belt and Road Initiative and the Trade Credit Supply of Chinese Enterprises

Authors
Xiaoshan Huang1, Yunxi Wang1, *
1The Accounting School, Nanfang College Guangzhou, Guangzhou, China
*Corresponding author. Email: wangyx@nfu.edu.cn
Corresponding Author
Yunxi Wang
Available Online 26 December 2024.
DOI
10.2991/978-94-6463-632-1_4How to use a DOI?
Keywords
the Belt and Road Initiative; trade credit supply; Quasi-natural Experiment; Differences-in-Differences (DID); industry characteristics; crowding-out effect on investment
Abstract

Implemented the Belt and Road Initiative as a quasi-natural experiment, this article examines the impact of the Belt and Road initiative on the trade credit supply of Chinese enterprises using the DID method. Based on the data of Chinese A-share listed companies from 2011 to 2017, the study finds that the implementation of the Belt and Road initiative has reduced the level of trade credit supply for Chinese enterprises. Further research finds that the implementation of the Belt and Road initiative has significantly reduced the trade credit supply level of private enterprises and large enterprises. The test based on industrial heterogeneity shows that the implementation of the Belt and Road initiative has strongly reduced the level of trade credit supply in the manufacturing industry and emerging industries. The economic consequences test presents that the Belt and Road initiative is capable to effectively alleviate the crowding-out effect of the trade credit supply on corporate investment. This article provides a timely feedback on the economic effects of the Belt and Road initiative, meanwhile serves as a supplement and further development of the product quality assurance theory by trade credit.

Copyright
© 2024 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 2024 4th International Conference on Business Administration and Data Science (BADS 2024)
Series
Advances in Computer Science Research
Publication Date
26 December 2024
ISBN
978-94-6463-632-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-632-1_4How to use a DOI?
Copyright
© 2024 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  - Xiaoshan Huang
AU  - Yunxi Wang
PY  - 2024
DA  - 2024/12/26
TI  - The Belt and Road Initiative and the Trade Credit Supply of Chinese Enterprises
BT  - Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)
PB  - Atlantis Press
SP  - 27
EP  - 44
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-632-1_4
DO  - 10.2991/978-94-6463-632-1_4
ID  - Huang2024
ER  -