The Impact of Tax Incentives, Government Funding, and R&D Investments on the Innovation Effectiveness of Chinese High-Tech Companies
DOI:
https://doi.org/10.24191/5k164s58Keywords:
Tax Incentives, Government Funding, R&D Investments, Innovation Effectiveness, Chinese High-Tech CompaniesAbstract
Tax incentives, government funding, and R&D investments are pivotal policy and internal drivers of innovation in Chinese high-tech firms, as they facilitate technological progress, resource accumulation, and enhanced innovation effectiveness. However, existing studies lack clarity about their specific mechanisms, empirical links to innovation effectiveness, and targeted verification using large-sample panel data. This study empirically tests the direct positive relationships between innovation effectiveness and key factors among Chinese high-tech enterprises, providing theoretical and practical support for policy optimization and enterprise innovation management. Based on the CSMAR database, 347 high-tech firms were selected, yielding 2,082 annual observations from 2019 to 2024. A quantitative approach combining panel data and time-series analysis is adopted, with SPSS for OLS regression and EViews for dynamic trend exploration. Diagnostic and robustness tests are conducted to ensure the validity of the results. Empirical results confirm their significant positive impacts: tax incentives cut R&D costs; government funding offsets market failures; R&D investments strengthen independent innovation capability. Stable variable trends verify the robustness of the result. This study enriches the literature, provides implications for policymakers and managers, and proposes future research directions.
References
Dai, X., & Chapman, G. (2021). R&D tax incentives and innovation: Examining the role of programme design in China. Technovation, 113, 102419. https://doi.org/10.1016/j.technovation.2021.102419
Ghazinoory, S., & Hashemi, Z. (2021). Do tax incentives and direct funding enhance innovation input and output in high-tech firms? The Journal of High Technology Management Research, 32(1), 100394. https://doi.org/10.1016/j.hitech.2020.100394
Hammer, A. B., & Yusuf, S. (2020). Is China in a high-tech, low-productivity trap? (Working Paper No. 2020-07-B). U.S. International Trade Commission.
https://www.usitc.gov/publications/332/working_papers/2020-07_china innovation wphammeryusuf.pdf
Li, H. (2022). Effects of innovation modes and network partners on innovation performance of young firms. European Journal of Innovation Management, 25(5), 1288–1308. https://doi.org/10.1108/EJIM-12-2020-0511
Liu, L., & Dong, C. (2022). The more funds the better? External funds, R&D investment and firm innovation: critical role of firm leaders’ international experience. European Journal of Innovation Management. https://doi.org/10.1108/EJIM-06-2022-0300
Tian, B., Yu, B., Chen, S., & Ye, J. (2020). Tax incentive, R&D investment and firm innovation: Evidence from China. Journal of Asian Economics, 71, 101245. https://doi.org/10.1016/j.asieco.2020.101245
Wan, Q., Chen, J., Yao, Z., & Yuan, L. (2022). Preferential tax policy and R&D personnel flow for technological innovation efficiency of China’s high-tech industry in an emerging economy. Technological Forecasting and Social Change, 174, 121228. https://doi.org/10.1016/j.techfore.2021.121228
Yu, A., Shi, Y., You, J., & Zhu, J. (2021). Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach. European Journal of Operational Research, 292(1), 199–212. https://doi.org/10.1016/j.ejor.2020.10.011
Zhang, S., Wang, Z., Zhao, X., & Yang, J. (2022). Impacts of R&D investment on absorptive capacity and firm innovativeness: contingent roles of dysfunctional competition. International Journal of Operations & Production Management, 42(10), 1630–1652. https://doi.org/10.1108/IJOPM-12-2021-0747
Zhu, W., Tian, Y., Hu, X., Ku, Q., & Dai, X. (2020). Research on relationship between government innovation funding and firms value creation using clustering-rough sets. Kybernetes, 49(2), 578–600. https://doi.org/10.1108/K-03-2019-0208
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Copyright (c) 2026 Li Tian, Nadiah Abd Hamid, Ida Suriya Ismail

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