IDEAS home Printed from https://ideas.repec.org/h/zbw/entr24/317982.html
   My bibliography  Save this book chapter

Determinants of R&D Value Reporting Bias: An Empirical Study in the EU

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024

Author

Listed:
  • Georgiou, Andreas

Abstract

This study investigates the determinants of R&D value reporting bias in technology sector entities from six EU countries, including Germany and France, using data from 188 entities between 2006 and 2023. The research employs a mixed-method approach, including Pearson correlations, mixed model regressions, and binary logistic regressions, to analyse the relationships between financial leverage ratios, earnings per share, and the performance of intangible assets. The findings indicate significant correlations between financial structure metrics and the Net Present Value (NPV) ratios of intangible assets, suggesting that higher debt levels relative to assets enhance the performance of internally generated intangibles, while increased debt-to-equity and debt-to-capital ratios have a negative impact. Additionally, the study reveals the influence of regional factors and auditor rank on financial performance, emphasizing the complex interplay between financial metrics and the valuation of intangible assets. These insights contribute to understanding earnings management behaviours and provide practical implications for financial management in R&D-intensive entities.

Suggested Citation

  • Georgiou, Andreas, 2025. "Determinants of R&D Value Reporting Bias: An Empirical Study in the EU," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2024), Hybrid Conference, Dubrovnik, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024, pages 506-540, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
  • Handle: RePEc:zbw:entr24:317982
    DOI: 10.54820/entrenova-2024-0039
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/317982/1/entrenova-2024-0039.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.54820/entrenova-2024-0039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tami Dinh & Baljit K. Sidhu & Chuan Yu, 2019. "Accounting for Intangibles: Can Capitalization of R&D Improve Investment Efficiency?," Abacus, Accounting Foundation, University of Sydney, vol. 55(1), pages 92-127, March.
    2. Clausen, Saskia & Hirth, Stefan, 2016. "Measuring the value of intangibles," Journal of Corporate Finance, Elsevier, vol. 40(C), pages 110-127.
    3. Laurie Hunter & Elizabeth Webster & Anne Wyatt, 2012. "Accounting for Expenditure on Intangibles," Abacus, Accounting Foundation, University of Sydney, vol. 48(1), pages 104-145, March.
    4. Mustafa Ciftci & Masako Darrough, 2015. "What Explains the Valuation Difference between Intangible-intensive Profit and Loss Firms?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 42(1-2), pages 138-166, January.
    5. Gatchev, Vladimir A. & Spindt, Paul A. & Tarhan, Vefa, 2009. "How do firms finance their investments?: The relative importance of equity issuance and debt contracting costs," Journal of Corporate Finance, Elsevier, vol. 15(2), pages 179-195, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grzybek, Olga, 2023. "Are accounting choices for intangible assets informative or opportunistic? Evidence from Poland," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 51(C).
    2. Jiang, Jiaoliang & Chen, Yulin, 2021. "How does labor protection influence corporate risk-taking? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    3. Georgiou, Andreas, 2022. "A Case Study of Investor R&D Evaluation using Game Theory," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2022), Hybrid Conference, Opatija, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022, pages 91-98, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    4. Wu, Kai & Lai, Seiwai, 2020. "Intangible intensity and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 64(C).
    5. Didier, Tatiana & Levine, Ross & Llovet Montanes, Ruth & Schmukler, Sergio L., 2021. "Capital market financing and firm growth," Journal of International Money and Finance, Elsevier, vol. 118(C).
    6. Woo Sung Kim & Kunsu Park & Sang Hoon Lee & Hongyoung Kim, 2018. "R&D Investments and Firm Value: Evidence from China," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    7. Abeysekera, Indra, 2016. "Does the classification of intangibles matter? An equivalence testing," Advances in accounting, Elsevier, vol. 35(C), pages 135-142.
    8. Gopalakrishnan, Balagopal & Jacob, Joshy & Srivastava, Jagriti, 2022. "Fishing in muddy waters: Mergers and acquisitions during uncertainty," IIMA Working Papers WP 2022-09-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    9. Yang, Bao & Chou, Hsin-I. & Zhao, Jing, 2020. "Innovation or dividend payout: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 180-203.
    10. Ander Perez-Orive & Andrea Caggese, 2017. "Capital Misallocation and Secular Stagnation," 2017 Meeting Papers 382, Society for Economic Dynamics.
    11. Moritzen, Mark Raun & Schandlbauer, Alexander, 2020. "The impact of competition and time-to-finance on corporate cash holdings," Journal of Corporate Finance, Elsevier, vol. 65(C).
    12. Zhang, Haiping, 2022. "Upstream financial flows, intangible investment, and allocative efficiency," Journal of Macroeconomics, Elsevier, vol. 72(C).
    13. Dreher, Sandra & Eichfelder, Sebastian & Noth, Felix, 2022. "Does IFRS information on tax loss carryforwards and negative performance improve predictions of earnings and cash flows?," arqus Discussion Papers in Quantitative Tax Research 276, arqus - Arbeitskreis Quantitative Steuerlehre.
    14. Imhof, Michael J. & Seavey, Scott E., 2014. "Corporate risk-taking, firm value and high levels of managerial earnings forecasts," Advances in accounting, Elsevier, vol. 30(2), pages 328-337.
    15. Drobetz, Wolfgang & Haller, Rebekka & Meier, Iwan & Tarhan, Vefa, 2017. "The impact of liquidity crises on cash flow sensitivities," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 225-239.
    16. Dreher, Sandra & Eichfelder, Sebastian & Noth, Felix, 2017. "Predicting earnings and cash flows: The information content of losses and tax loss carryforwards," IWH Discussion Papers 30/2017, Halle Institute for Economic Research (IWH).
    17. Claudiu Tiberiu Albulescu, 2020. "Investment Behaviour and Firms’ Financial Performance: A Comparative Analysis Using Firm-Level Data from the Wine Industry," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 9(1), pages 75-94.
    18. Jaimin Goh & Jaehong Lee & Wonchang Hur & Yunchang Ju, 2019. "Do Analysts Fully Reflect Information in Patents about Future Earnings?," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    19. Claudiu Tiberiu Albulescu & Matei Tămășilă & Ilie Mihai Tăucean, 2021. "The Nonlinear Relationship Between Firm Size and Growth in the Automotive Industry," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 445-463, September.

    More about this item

    Keywords

    intangibles; assets; internally generated; capitalisation; earnings management;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:entr24:317982. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.entrenova.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.