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

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An Empirical Study on Tax Collection and Debt Financing Cost

Based on the Moderating Effect of Accounting Robustness

Authors
Rongrong Liu1, *
1Business School, Hohai University, Changzhou, Jiangsu, China
*Corresponding author. Email: 1281159334@qq.com
Corresponding Author
Rongrong Liu
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_99How to use a DOI?
Keywords
Debt Financing Cost; Tax Collection Intensity; Accounting Robustness; Resource Constraints; Panel Data Analysis
Abstract

This paper takes A-share listed companies in Shanghai and Shenzhen stock markets of China from 2018 to 2020 as research samples, collects relevant data and processes them into corresponding panel data through data software, empirically studies the correlation between the debt financing cost and local tax collection intensity, as well as the moderating effect of accounting robustness on the relationship between the two. Further, the heterogeneity of accounting robustness moderating effect under different resource constraints is investigated. The results show that there is a significant negative correlation between debt financing cost and tax collection intensity. At the same time, accounting robustness of enterprises has a positive moderating effect on the relationship between the above two, and the moderating effect of accounting robustness is more obvious in non-state-owned enterprises, but less in state-owned enterprises. The conclusion of this paper provides new directions and suggestions for enterprises to improve their debt financing ability.

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
10.2991/978-94-6463-030-5_99
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_99How 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  - Rongrong Liu
PY  - 2022
DA  - 2022/12/20
TI  - An Empirical Study on Tax Collection and Debt Financing Cost
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1004
EP  - 1019
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_99
DO  - 10.2991/978-94-6463-030-5_99
ID  - Liu2022
ER  -