An Empirical Investigation into the Influence of Big Data Technology on the Profitability of China’s City Commercial Banks

Jiadong Luo; Jie Yang; Guo Wu

doi:10.2991/978-94-6463-064-0_104

<Previous Article In Volume

Next Article In Volume>

An Empirical Investigation into the Influence of Big Data Technology on the Profitability of China’s City Commercial Banks

Authors

Jiadong Luo¹, Jie Yang², Guo Wu¹^{, *}

¹Department of Finance, Sanda University, Shanghai, China

²Department of Accounting, Sanda University, Shanghai, China

^*Corresponding author. Email: guo.wu@sandau.edu.cn

Corresponding Author

Guo Wu

Available Online 27 December 2022.

DOI: 10.2991/978-94-6463-064-0_104 How to use a DOI?
Keywords: big data; panel data model; STATA
Abstract: Big data technology has led to significant changes in the banking industry. This study aims at evaluating the current applications of big data technology in the China’s banking sector empirically using the STATA 15 software with the data from the iWind database between the year 2013 and the year 2019. A multi-factor statistical model is established to show the relationship between the level of bank profitability and the development of big data technology, while other bank specific variables are controlled. A static panel data model is adopted and the regression results from using different estimators and standard errors are also mathematically compared to assess the robustness of the regression results. The results suggest that big data technology currently has a negative impact on the level of bank profitability.
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.

Download article (PDF)

<Previous Article In Volume

Next Article In Volume>

Volume Title: Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series: Atlantis Highlights in Computer Sciences
Publication Date: 27 December 2022
ISBN: 10.2991/978-94-6463-064-0_104
ISSN: 2589-4900
DOI: 10.2991/978-94-6463-064-0_104 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Jiadong Luo
AU  - Jie Yang
AU  - Guo Wu
PY  - 2022
DA  - 2022/12/27
TI  - An Empirical Investigation into the Influence of Big Data Technology on the Profitability of China’s City Commercial Banks
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 1007
EP  - 1014
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_104
DO  - 10.2991/978-94-6463-064-0_104
ID  - Luo2022
ER  -

download .riscopy to clipboard