The Impact of Tax Incentives on Innovation EfficiencyIn Agricultural Enterprises: A Study of A-Share Listed Companies
DOI:
https://doi.org/10.14419/abs80c75Keywords:
Tax Incentives; Innovation Efficiency; Agricultural Enterprises; A-Share Listed Companies; Corporate InnovationAbstract
This study examines the impact of tax incentives on innovation efficiency using a longitudinal dataset of A-share listed agricultural enterprises from 2015 to 2023. Employing a fixed-effects model, the empirical results indicate a significant positive correlation between tax incentives and innovation output. Specifically, a 1% increase in tax incentives correlates with a 0.15% increase in patent applications. Heterogeneity analysis reveals that this effect is [stronger] in non-state-owned enterprises and larger firms, suggesting that private entities are more responsive to fiscal levers. Although government funding and direct subsidies are often debated in policy circles, the data suggest that tax incentive mechanisms tend to have a stronger correlation with the promotion of research and development activities, particularly in terms of moving innovations from the research phase to practical market applications. Overall, while the econometric tests using fixed-effects regression models indicate statistically significant relationships (with p-values consistently less than 0.05 for the key tax incentive coefficient), the outcomes are sensitive to firm-specific factors that might simultaneously influence leverage and innovation capacity.
References
Clarke, C.; Hansmann, H. Special-Purpose Governments. University of Chicago Law Review 2025, 92 (3), 633-704.
Eastwood, R.; Lipton, M.; Newell, A. Farm Size. In Handbook of Agricultural Economics, Vol 4, Pingali, P. L., Evenson, R. E. Eds.; Handbooks in Economics, Vol. 18; 2010; pp 3323-3397. https://doi.org/10.1016/S1574-0072(09)04065-1.
Li, Y. R.; Lin, A. Q. Assessing the impact of green finance on financial performance in Chinese eco-friendly enterprise. Heliyon 2024, 10 (7). https://doi.org/10.1016/j.heliyon.2024.e29075.
Lin, G.; Takahashi, Y.; Nomura, H.; Yabe, M. Policy incentives, ownership effects, and firm productivity-Evidence from China's Agricultural Leading Firms Program. Economic Analysis and Policy 2022, 73, 845-859. https://doi.org/10.1016/j.eap.2022.01.001.
Mykoliuk, O.; Kucherova, H.; Fostolovych, V.; Prylepa, N. Recursive Modeling of Intentions of Fulfilling Tax Obligations by Industrial Enterprises in Case of Implementing a Mechanism for Promoting their Energy Efficiency. Estudios De Economía Aplicada 2020, 38 (4). https://doi.org/10.25115/eea.v38i4.4044.
Takhumova, O. V.; Gornostaeva, Z. V.; Viktorovna, K. I.; Skiperskaya, E. V.; Ponomarenko, M. V. Organization and Stimulation of Innovation in the Small Economy. Research Journal of Pharmaceutical Biological and Chemical Sciences 2018, 9 (5), 1707-1712.
Tang, K.; Hailu, A.; Kragt, M. E.; Ma, C. B. The response of broadacre mixed crop-livestock farmers to agricultural greenhouse gas abatement incen-tives. Agricultural Systems 2018, 160, 11-20. https://doi.org/10.1016/j.agsy.2017.11.001.
Tang, K.; He, C. T.; Ma, C. B.; Wang, D. Does carbon farming provide a cost-effective option to mitigate GHG emissions? Evidence from China. Australian Journal of Agricultural and Resource Economics 2019, 63 (3), 575-592. https://doi.org/10.1111/1467-8489.12306.
Ullah, S.; Khan, F. U.; Saeed, I. Promoting green growth through identification of sustainable strategies: a hybrid approach. International Journal of Emerging Markets 2024. https://doi.org/10.1108/IJOEM-10-2023-1586.
Wang, X. Y.; Li, Z. M.; Liu, P. A. Recycling/Production and Incentive-Penalty Strategies in Closed-Loop Supply Chains under Remanufacturing Poli-cies. Sustainability 2023, 15 (12). https://doi.org/10.3390/su15129750.
Yuan, D. H.; Guo, X. J.; Cao, Y.; He, L. S.; Wang, J. G.; Xi, B. D.; Li, J. Q.; Ma, W. L.; Zhang, M. S. Case Study on Incentive Mechanism of Ener-gy Efficiency Retrofit in Coal-Fueled Power Plant in China. Scientific World Journal 2012. https://doi.org/10.1100/2012/841636.
Cai, C., Lin, G., and Wang, H. (2021). Tax enforcement and enterprise financing constraints—An analysis of policy effect based on the third phase of the golden tax. Accounting Res. 5, 107–120.
Chen, D., Chen, Y., and Dong, Z. (2016). Policy uncertainty, intensity of tax enforcement and enterprises tax avoidance. J. Manag. World 5, 151–163.
Dai, X., and Chapman, G. (2022). 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.
Dai, X., Verreynne, M., Wang, J., and He, Y. (2020). The behavioral additionality effects of a tax incentive program on firms' composition of R&D investment. R&D Manag. 50, 510–521. https://doi.org/10.1111/radm.12401.
Desai, M. A., Dyck, A., and Zingales, L. (2007). Theft and taxes. J. Fin. Eco. 84, 591–623. https://doi.org/10.1016/j.jfineco.2006.05.005.
Edwards, A., Schwab, C., and Shevlin, T. J. (2012). Financial constraints and the incentive for tax planning. SSRN Electron. J. 7:3766. https://doi.org/10.2139/ssrn.2163766.
Gao, P. (2006). Riddle of the sustained and rapid tax increase in China. Econ. Res. J. 12, 13–23.
Gao, P., and Mao, J. (2013). Size, structure and efficiency of tax preferences of the indirect tax: empirical evidence from national tax survey. China Industrial Econ. 12, 143–155.
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