Research on the Impact of Fiscal Subsidies on the Performance of High-Tech Enterprises – Empirical Evidence Based on High-Tech Listed Companies in Guangdong Province

Lingling Hou 1
Jianhui Tan 2
Zhelin Ou 1
Nan Zhang 1
Publication typeBook Chapter
Publication date2025-02-25
scimago Q4
SJR0.177
CiteScore0.7
Impact factor
ISSN09226389, 15356698, 18798314
Abstract

This paper relies on the data of high-tech listed companies in Guangdong Province during the period from 2012 to 2022. With the return on total assets as the explained variable, financial subsidies as the explanatory variable, and enterprise age, enterprise scale, asset-liability ratio, and enterprise growth as control variables, a panel data regression model is constructed to empirically examine the influence of financial subsidies on the performance of high-tech enterprises. The findings indicate that financial subsidies exhibit a notable positive impact on the performance of high-tech enterprises within Guangdong Province and have passed the robustness test. Based on the research conclusions, targeted suggestions and countermeasures are proposed from both the government and enterprises to jointly propel the high-quality development of high-tech enterprises.

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Hou L. et al. Research on the Impact of Fiscal Subsidies on the Performance of High-Tech Enterprises – Empirical Evidence Based on High-Tech Listed Companies in Guangdong Province // Frontiers in Artificial Intelligence and Applications. 2025.
GOST all authors (up to 50) Copy
Hou L., Tan J., Ou Z., Zhang N. Research on the Impact of Fiscal Subsidies on the Performance of High-Tech Enterprises – Empirical Evidence Based on High-Tech Listed Companies in Guangdong Province // Frontiers in Artificial Intelligence and Applications. 2025.
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RIS Copy
TY - GENERIC
DO - 10.3233/faia250084
UR - https://ebooks.iospress.nl/doi/10.3233/FAIA250084
TI - Research on the Impact of Fiscal Subsidies on the Performance of High-Tech Enterprises – Empirical Evidence Based on High-Tech Listed Companies in Guangdong Province
T2 - Frontiers in Artificial Intelligence and Applications
AU - Hou, Lingling
AU - Tan, Jianhui
AU - Ou, Zhelin
AU - Zhang, Nan
PY - 2025
DA - 2025/02/25
PB - IOS Press
SN - 0922-6389
SN - 1535-6698
SN - 1879-8314
ER -
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Cite this
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@incollection{2025_Hou,
author = {Lingling Hou and Jianhui Tan and Zhelin Ou and Nan Zhang},
title = {Research on the Impact of Fiscal Subsidies on the Performance of High-Tech Enterprises – Empirical Evidence Based on High-Tech Listed Companies in Guangdong Province},
publisher = {IOS Press},
year = {2025},
month = {feb}
}