IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0298528.html
   My bibliography  Save this article

Estimating the effect of corporate integrity culture on tax avoidance using a text-based approach: A research note

Author

Listed:
  • Pattanaporn Chatjuthamard
  • Pandej Chintrakarn
  • Suwongrat Papangkorn
  • Pornsit Jiraporn

Abstract

Tax avoidance holds immense importance due to its substantial implications for government revenues and the fair allocation of resources. Consequently, understanding the factors that shape tax avoidance is critically important. Exploiting a cutting-edge measure of corporate integrity derived from state-of-the-art machine learning algorithms and textual analysis, we explore the effect of corporate integrity on tax avoidance. Our text-based measure is based on a textual analysis of earnings conference call transcripts. Our findings show that companies with greater corporate integrity are significantly less involved in tax avoidance. Further analysis corroborates the results, i.e., propensity score matching, entropy balancing, and an instrumental variable analysis. Our findings are especially noteworthy as they demonstrate that corporate culture, although intangible in nature, exerts a substantial influence on corporate behavior.

Suggested Citation

  • Pattanaporn Chatjuthamard & Pandej Chintrakarn & Suwongrat Papangkorn & Pornsit Jiraporn, 2024. "Estimating the effect of corporate integrity culture on tax avoidance using a text-based approach: A research note," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-8, May.
  • Handle: RePEc:plo:pone00:0298528
    DOI: 10.1371/journal.pone.0298528
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0298528
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298528&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0298528?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. Hanlon, Michelle & Heitzman, Shane, 2010. "A review of tax research," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 127-178, December.
    2. Fangjun Wang & Shuolei Xu & Junqin Sun & Charles P. Cullinan, 2020. "Corporate Tax Avoidance: A Literature Review And Research Agenda," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 793-811, September.
    3. Yaakov Weber & Oded Shenkar & Adi Raveh, 1996. "National and Corporate Cultural Fit in Mergers/Acquisitions: An Exploratory Study," Management Science, INFORMS, vol. 42(8), pages 1215-1227, August.
    4. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    5. Kai Li & Feng Mai & Rui Shen & Xinyan Yan, 2021. "Measuring Corporate Culture Using Machine Learning," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3265-3315, National Bureau of Economic Research, Inc.
    6. Kai Li & Feng Mai & Rui Shen & Xinyan Yan, 2021. "Measuring Corporate Culture Using Machine Learning [Machine learning methods that economists should know about]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3265-3315.
    7. Eric Van den Steen, 2010. "On the origin of shared beliefs (and corporate culture)," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 617-648, December.
    8. John R. Graham & Jillian A. Grennan & Campbell R. Harvey & Shivaram Rajgopal, 2022. "Corporate culture: The interview evidence," Journal of Applied Corporate Finance, Morgan Stanley, vol. 34(4), pages 22-41, September.
    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. Chindasombatcharoen, Pongsapak & Chatjuthamard, Pattanaporn & Jiraporn, Pornsit, 2023. "Corporate culture, cultural diversification, and independent directors: Evidence from earnings conference calls," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    2. Chatjuthamard, Pattanaporn & Wongboonsin, Kua & Ongsakul, Viput & Jiraporn, Pornsit, 2024. "Corporate culture, staggered boards, and managerial entrenchment: Evidence from textual analysis," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 404-418.
    3. Treepongkaruna, Sirimon & Jiraporn, Pornsit & Kyaw, Khine & Padungsaksawasdi, Chaiyuth, 2024. "Climate change exposure and corporate culture: A text-based approach," International Review of Economics & Finance, Elsevier, vol. 95(C).
    4. Afzali, Mansoor, 2023. "Corporate culture and financial statement comparability," Advances in accounting, Elsevier, vol. 60(C).
    5. Graham, John R. & Grennan, Jillian & Harvey, Campbell R. & Rajgopal, Shivaram, 2022. "Corporate culture: Evidence from the field," Journal of Financial Economics, Elsevier, vol. 146(2), pages 552-593.
    6. Hasan, Tahseen & John, Kose & Teng, Haimeng & Wu, Qiang, 2024. "Creative corporate culture and corporate tax avoidance," The British Accounting Review, Elsevier, vol. 56(3).
    7. Tran, Thanh & Nguyen, Harvey & Pham, Mia Hang, 2025. "Do financial markets value corporate culture?," International Review of Financial Analysis, Elsevier, vol. 98(C).
    8. Luisa Faust & Maura Kolbe & Sasan Mansouri & Paul P. Momtaz, 2022. "The Crowdfunding of Altruism," JRFM, MDPI, vol. 15(3), pages 1-29, March.
    9. Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2023. "Bloated Disclosures: Can ChatGPT Help Investors Process Information?," Papers 2306.10224, arXiv.org, revised Mar 2025.
    10. Gary B. Gorton & Alexander K. Zentefis, 2024. "Corporate culture as a theory of the firm," Economica, London School of Economics and Political Science, vol. 91(364), pages 1391-1423, October.
    11. Fang, Yiwei & Fiordelisi, Franco & Hasan, Iftekhar & Leung, Woon Sau & Wong, Gabriel, 2023. "Corporate culture and firm value: Evidence from crisis," Journal of Banking & Finance, Elsevier, vol. 146(C).
    12. Li, Lu & Yuan, Xi & Wei, Shuang & Yang, Guochao, 2024. "Heterogeneous uncertainty matters! Evidence based on firms' cost management decisions," Emerging Markets Review, Elsevier, vol. 63(C).
    13. Liu, Qigui & Wang, Junyi & Chi, Wenqiang, 2022. "The spillover effects of innovation content disclosure in MD&A," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    14. Mammadov, Babak & Vakilzadeh, Hamid & Golden, Joanna, 2024. "Does corporate culture impact tax shelter? A machine learning approach," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    15. Thi Nguyen, Loan Quynh & Matousek, Roman & Muradoglu, Gulnur, 2024. "Bank capital, liquidity creation and the moderating role of bank culture: An investigation using a machine learning approach," Journal of Financial Stability, Elsevier, vol. 72(C).
    16. Ding, Guolei & Lei, Jin & Liu, Yunxiao & Wang, Zhen, 2024. "Supplier–customer cultural similarity and supplier performance," Journal of Banking & Finance, Elsevier, vol. 163(C).
    17. Tang, Jinghua & Liu, Qigui, 2024. "R&D tax incentive policy, intellectual property right protection, and corporate innovation in an emerging market," Research in International Business and Finance, Elsevier, vol. 69(C).
    18. Wongsinhirun, Nopparat & Chatjuthamard, Pattanaporn & Jiraporn, Pornsit, 2023. "Corporate culture and board gender diversity: Evidence from textual analysis," International Review of Financial Analysis, Elsevier, vol. 86(C).
    19. Lin, Tse-Chun & Pursiainen, Vesa, 2023. "Social trust distance in mergers and acquisitions," Journal of Banking & Finance, Elsevier, vol. 149(C).
    20. Mansoor Afzali & Timmy Thor, 2025. "Corporate culture and tax planning," Review of Quantitative Finance and Accounting, Springer, vol. 64(2), pages 861-898, February.

    More about this item

    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:plo:pone00:0298528. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.