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Corporate patents, R&D success, and tax avoidance

Author

Listed:
  • Lei Gao

    (Iowa State University)

  • Leo L. Yang

    (University of Miami)

  • Joseph H. Zhang

    (The University of Memphis)

Abstract

It is well known that research and development (R&D) tax policies are written to encourage firm innovation, a crucial driver of business growth. However, evidence on the effectiveness of tax benefits for innovation is largely anecdotal and empirical examination of the influence of innovation on firm-level taxation is still underexplored. In this study we use an archival research design to assess the implications of corporate innovation on tax avoidance. Based on a large sample of patent data from 1987 to 2010, we find that, on average, both a firm’s innovation productivity (using patent counts) and innovation quality (using patent citations) are positively associated with its tax avoidance level. Nevertheless, we find that the success of R&D investment, in terms of patent output per R&D dollar, is not associated with tax avoidance. Our study is informative for the debate about tax credit reform, such as establishing a ‘patent box’ regime for the purpose of spurring both the conduct of research and commercialization of R&D program.

Suggested Citation

  • Lei Gao & Leo L. Yang & Joseph H. Zhang, 2016. "Corporate patents, R&D success, and tax avoidance," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1063-1096, November.
  • Handle: RePEc:kap:rqfnac:v:47:y:2016:i:4:d:10.1007_s11156-015-0531-3
    DOI: 10.1007/s11156-015-0531-3
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    Cited by:

    1. Wei-Chuan Kao, 2018. "Innovation quality of firms with the research and development tax credit," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 43-78, July.
    2. James M. Plečnik & Leo L. Yang & Joseph H. Zhang, 2022. "Corporate innovation and future earnings: does early patent disclosure matter?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 2011-2056, April.
    3. Lei Gao & Andrey Zagorchev, 2020. "Dual-Class Firms and Innovation after NAFTA," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-33, March.
    4. Kaiyang Sun & Rumintha Wickramasekera & Alvin Tan, 2022. "Exploring the Relationship Between Family Involvement and Innovative Capability in Chinese Family SMEs: The Role of HR Redundancy," SAGE Open, , vol. 12(2), pages 21582440221, May.
    5. Mark Vancauteren & Michael Polder & Marcel van den Berg, 2019. "The Relationship between Tax Payments and MNE’s Patenting Activities and Implications for Real Economic Activity: Evidence from the Netherlands," NBER Chapters, in: Challenges of Globalization in the Measurement of National Accounts, pages 237-269, National Bureau of Economic Research, Inc.
    6. Sattar Mansi & Jianping Qi & Han Shi, 2020. "Advertising and tax avoidance," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 479-516, February.
    7. Jianping Qi & Ninon K. Sutton & Qiancheng Zheng, 2020. "The value of innovation and the spillover effect on alliance partners," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1427-1457, November.
    8. Kennedy James & Barry Frank, 2020. "An assessment of R&D tax credits and their role towards innovation within Irish industry," The Irish Journal of Management, Sciendo, vol. 39(1), pages 34-46, August.
    9. Alexander Israel Silva-Gámez & Silvia Mariela Méndez-Prado & Andrés Arauz, 2022. "What’s Happening with the Patent Box Regimes? A Systematic Review," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    10. Yang, Ann Shawing & Okada, Hiromu, 2019. "Corporate innovations as institutional anomie: Patent activities and financial performance of the international aerospace industry," Finance Research Letters, Elsevier, vol. 28(C), pages 328-336.
    11. Gerald J. Lobo & Yuan Xie & Joseph H. Zhang, 2018. "Innovation, financial reporting quality, and audit quality," Review of Quantitative Finance and Accounting, Springer, vol. 51(3), pages 719-749, October.
    12. Uyar, Ali & Bani-Mustafa, Ahmed & Nimer, Khalil & Schneider, Friedrich & Hasnaoui, Amir, 2021. "Does innovation capacity reduce tax evasion? Moderating effect of intellectual property rights," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    13. C. S. Agnes Cheng & Peng Guo & Chia‐Hsiang Weng & Qiang Wu, 2021. "Innovation and Corporate Tax Planning: The Distinct Effects of Patents and R&D," Contemporary Accounting Research, John Wiley & Sons, vol. 38(1), pages 621-653, March.
    14. Jianping Qi & Ninon K. Sutton & Qiancheng Zheng, 0. "The value of innovation and the spillover effect on alliance partners," Review of Quantitative Finance and Accounting, Springer, vol. 0, pages 1-31.
    15. Xing Gao & Keyu Zhai & Yue Qiu & Mengqiu Cao & Meiling Wu, 2020. "Innovation Institution and Spatial Transfer of Energy Industry: The Case of Jiangsu Province, China," SAGE Open, , vol. 10(1), pages 21582440199, January.
    16. Guanming He & Helen Mengbing Ren & Richard Taffler, 2020. "The impact of corporate tax avoidance on analyst coverage and forecasts," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 447-477, February.

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    More about this item

    Keywords

    Patent counts; Patent citations; Innovation; Tax avoidance; Research and development;
    All these keywords.

    JEL classification:

    • G35 - Financial Economics - - Corporate Finance and Governance - - - Payout Policy
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • M48 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Government Policy and Regulation
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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