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Structural tax reduction, financing constraint relief and enterprise innovation efficiency

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  • Huang, Nianbing
  • Liu, Yu

Abstract

This paper takes the implementation of the preferential policy of accelerated depreciation of fixed assets as a quasi-natural experiment to study the impact of structural tax cuts on the innovation efficiency of enterprises and the mechanism of its action. The results show that the implementation of accelerated depreciation preferential policy has a significant enhancement effect on the innovation efficiency of enterprises within the scope of the policy, which is significantly stronger in private enterprises and large enterprises. In the process of accelerated depreciation preferential policies affecting enterprise innovation efficiency, financing constraints can play a mediating role.

Suggested Citation

  • Huang, Nianbing & Liu, Yu, 2024. "Structural tax reduction, financing constraint relief and enterprise innovation efficiency," Finance Research Letters, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:finlet:v:60:y:2024:i:c:s1544612323012205
    DOI: 10.1016/j.frl.2023.104848
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    References listed on IDEAS

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    1. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    2. Chen, Xiaoxiong & He, Feng & Liu, Guanchun & Ye, Yongwei, 2022. "The effect of downstream expansion on upstream employment: Quasi-natural experimental evidence from China’s Accelerated Depreciation Policy," Research in International Business and Finance, Elsevier, vol. 63(C).
    3. Atanassov, Julian & Liu, Xiaoding, 2020. "Can Corporate Income Tax Cuts Stimulate Innovation?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(5), pages 1415-1465, August.
    4. Howell, Anthony, 2016. "Firm R&D, innovation and easing financial constraints in China: Does corporate tax reform matter?," Research Policy, Elsevier, vol. 45(10), pages 1996-2007.
    5. Wei Gu & Thomas L. Saaty & Lirong Wei, 2018. "Evaluating and Optimizing Technological Innovation Efficiency of Industrial Enterprises Based on Both Data and Judgments," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 9-43, January.
    6. Yan, Chao & Wang, Jiaxin & Wang, Zhi & Chan, Kam C., 2023. "Is reverence for life reverence for rule? Awe culture and corporate tax avoidance in China," International Review of Financial Analysis, Elsevier, vol. 90(C).
    7. Wan, Qunchao & Chen, Jin & Yao, Zhu & Yuan, Ling, 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, Elsevier, vol. 174(C).
    8. Lee, Jiyoung & Kim, Chulyeon & Choi, Gyunghyun, 2019. "Exploring data envelopment analysis for measuring collaborated innovation efficiency of small and medium-sized enterprises in Korea," European Journal of Operational Research, Elsevier, vol. 278(2), pages 533-545.
    9. Li, Yi & Peng, Wei, 2024. "Bank price competition and enterprise innovation——Based on empirical evidence of Chinese A-share listed companies," International Review of Financial Analysis, Elsevier, vol. 91(C).
    10. Zeng, Jing & Chan, Kam C., 2023. "The tax incentives and corporate cash holdings: Evidence from a quasi-natural experiment of an accelerated depreciation tax policy for fixed assets," International Review of Financial Analysis, Elsevier, vol. 88(C).
    11. Song, Malin & Ai, Hongshan & Li, Xie, 2015. "Political connections, financing constraints, and the optimization of innovation efficiency among China's private enterprises," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 290-299.
    12. Bronzini, Raffaello & Piselli, Paolo, 2016. "The impact of R&D subsidies on firm innovation," Research Policy, Elsevier, vol. 45(2), pages 442-457.
    13. Atanassov, Julian & Liu, Xiaoding, 2020. "Can Corporate Income Tax Cuts Stimulate Innovation? - ERRATUM," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(5), pages 1755-1755, August.
    14. Ohrn, Eric, 2019. "The effect of tax incentives on U.S. manufacturing: Evidence from state accelerated depreciation policies," Journal of Public Economics, Elsevier, vol. 180(C).
    15. Yang, Baochen & Song, Xinyu, 2023. "Does oil price uncertainty matter in firm innovation? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 88(C).
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