Panel regression method based on Stata analysis of impact of technology innovation and human capital on enterprise value

Zhuo Sun; Jianhua Gou

doi:10.2991/978-94-6463-102-9_135

<Previous Article In Volume

Next Article In Volume>

Panel regression method based on Stata analysis of impact of technology innovation and human capital on enterprise value

Authors

Zhuo Sun¹^{, 2}, Jianhua Gou¹^{, *}

¹Zhejiang International Studies University, 299 Liuhe Road, Hangzhou, 310012, Zhejiang, P. R. China

²Zhejiang Research Centre for Xi Jinping thought on socialism with Chinese characteristics for a new era, 8 Shengfu Road, Hangzhou, 310025, Zhejiang, P. R. China

^*Corresponding author. Email: gjh@zisu.edu.cn

Corresponding Author

Jianhua Gou

Available Online 29 December 2022.

DOI: 10.2991/978-94-6463-102-9_135 How to use a DOI?
Keywords: Panel regression method; technological innovation; human capital; enterprise value; information technology industry
Abstract: This paper is to test applicability of panel regression method on economics, and study the impact of technology innovation and human capital on enterprise value. Firstly, we built a model to describe the relationship of above factors. Then, panel regression method based on Stata was applied for analyzing the influence of technology innovation and human capital on enterprise value, taking the data in listed information technology companies from 2018-2021 as samples. Finally, we found that the combination of panel regression method and economics is meaningful and both of technological innovation and human capital can improve firm value significantly.
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 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series: Atlantis Highlights in Computer Sciences
Publication Date: 29 December 2022
ISBN: 10.2991/978-94-6463-102-9_135
ISSN: 2589-4900
DOI: 10.2991/978-94-6463-102-9_135 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  - Zhuo Sun
AU  - Jianhua Gou
PY  - 2022
DA  - 2022/12/29
TI  - Panel regression method based on Stata analysis of impact of technology innovation and human capital on enterprise value
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1307
EP  - 1312
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_135
DO  - 10.2991/978-94-6463-102-9_135
ID  - Sun2022
ER  -

download .riscopy to clipboard