IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v18y2025i6p330-d1680751.html
   My bibliography  Save this article

Digital Asset Adoption in Inheritance Planning: Evidence from Thailand

Author

Listed:
  • Tanpat Kraiwanit

    (International College, Pathumthani University, Pathum Thani 12000, Thailand)

  • Pongsakorn Limna

    (International College, Pathumthani University, Pathum Thani 12000, Thailand)

  • Supakorn Suradinkura

    (International College, Pathumthani University, Pathum Thani 12000, Thailand)

Abstract

This study investigates key factors influencing individuals’ intentions to incorporate digital assets into inheritance planning in Thailand. The research focuses on three primary determinants: demographic characteristics, knowledge of digital assets, and the perceived risks associated with their usage and transfer. Utilizing a quantitative research design, data were collected from 630 Thai respondents via a structured online questionnaire through convenience sampling. Binary logistic regression analysis was applied to identify statistically significant predictors. The results indicate that digital-asset knowledge, gender, age, income, saving behavior, and risk perception collectively account for a substantial variance in individuals’ intentions to use digital assets as part of their inheritance planning. Notably, knowledge and income positively influence adoption, suggesting that financial education and broader economic development may encourage increased usage. Conversely, factors such as age, gender, and perception of risks pose significant barriers, underscoring the need for targeted strategies to foster inclusivity. As digital assets transition from speculative tools to recognized financial instruments, their role in inheritance planning becomes increasingly relevant. This study contributes to a deeper understanding of this evolving financial landscape in the Thai context and offers insights applicable to other emerging markets undergoing similar digital transformations.

Suggested Citation

  • Tanpat Kraiwanit & Pongsakorn Limna & Supakorn Suradinkura, 2025. "Digital Asset Adoption in Inheritance Planning: Evidence from Thailand," JRFM, MDPI, vol. 18(6), pages 1-20, June.
  • Handle: RePEc:gam:jjrfmx:v:18:y:2025:i:6:p:330-:d:1680751
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/18/6/330/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/18/6/330/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Almenberg, Johan & Dreber, Anna, 2015. "Gender, stock market participation and financial literacy," Economics Letters, Elsevier, vol. 137(C), pages 140-142.
    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. Bottazzi, Laura & Lusardi, Annamaria, 2021. "Stereotypes in financial literacy: Evidence from PISA," Journal of Corporate Finance, Elsevier, vol. 71(C).
    2. Bannier, Christina E. & Neubert, Milena, 2016. "Gender differences in financial risk taking: The role of financial literacy and risk tolerance," Economics Letters, Elsevier, vol. 145(C), pages 130-135.
    3. Cupák, Andrej & Fessler, Pirmin & Schneebaum, Alyssa, 2021. "Gender differences in risky asset behavior: The importance of self-confidence and financial literacy," Finance Research Letters, Elsevier, vol. 42(C).
    4. Fey, Jan-Christian & Lerbs, Oliver & Schmidt, Carolin & Weber, Martin, 2020. "Risk attitude and capital market participation: Is there a gender investment gap in Germany?," ZEW Discussion Papers 20-080, ZEW - Leibniz Centre for European Economic Research.
    5. Gohl, Niklas & Haan, Peter & Michelsen, Claus & Weinhardt, Felix, 2024. "House price expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 379-398.
    6. Bechly, Paul Lorin, 2019. "An Examination of Demographic Differences in Obtaining Investment and Financial Planning Information," OSF Preprints vn8yj, Center for Open Science.
    7. Alessia Sconti, 2020. "Financial Literacy in Italy: What works among millennials most?," Working Papers 01/2020, University of Verona, Department of Economics.
    8. Dehua Li & Fei Yi, 2025. "The Gender Differences in Pension Wealth of Individual Retirement Accounts in China," Journal of Economic Statistics, Anser Press, vol. 3(1), pages 17-31, March.
    9. Bazley, William J. & Bonaparte, Yosef & Korniotis, George M., 2021. "Financial Self-awareness: Who Knows What They Don’t Know?," Finance Research Letters, Elsevier, vol. 38(C).
    10. Mostafa Saidur Rahim Khan & Naheed Rabbani & Yoshihiko Kadoya, 2021. "Can Financial Literacy Explain Lack of Investment in Risky Assets in Japan?," Sustainability, MDPI, vol. 13(22), pages 1-12, November.
    11. John A. Turner & Bruce W. Klein, 2021. "Improving on Defaults: Helping Pension Participants Manage Financial Market Risk in Target Date Funds," Risks, MDPI, vol. 9(4), pages 1-14, April.
    12. Yating Chuang & John Chung-En Liu, 2020. "Who wears a mask? Gender differences in risk behaviors in the COVID-19 early days in Taiwan," Economics Bulletin, AccessEcon, vol. 40(4), pages 2619-2627.
    13. Karla Cordova & Markus M. Grabka & Eva Sierminska, 2022. "Pension Wealth and the Gender Wealth Gap," European Journal of Population, Springer;European Association for Population Studies, vol. 38(4), pages 755-810, October.
    14. Batool Muhammad Hussain & Umair Baig & Vida Davidaviciene & Ieva Meidute-Kavaliauskiene, 2021. "A Thoughtful Insight on Women Entrepreneur’s Investment Attitude," Economies, MDPI, vol. 9(4), pages 1-19, December.
    15. Alessia Sconti, 2020. "Reality or Perception? Financial Literacy Survey and Behavioral Insights," Working Papers 08/2020, University of Verona, Department of Economics.
    16. Sierminska, Eva & Piazzalunga, Daniela & Grabka, Markus M., 2018. "Transitioning towards more equality? Wealth gender differences and the changing role of explanatory factors over time," GLO Discussion Paper Series 252, Global Labor Organization (GLO).
    17. Eberle, Mira & Oberrauch, Luis, 2023. "What a difference three years of economics education make: Evidence from lower stream schools in Germany," International Review of Economics Education, Elsevier, vol. 42(C).
    18. Wang, Lunyi & Wang, Yao & Zhang, Shunming, 2024. "Probability distortion and non-participation," Economics Letters, Elsevier, vol. 244(C).
    19. repec:osf:osfxxx:vn8yj_v1 is not listed on IDEAS
    20. Mareike Bünning & Anna Schlomann & Nicole Memmer & Clemens Tesch-Römer & Hans-Werner Wahl, 2023. "Digital Gender Gap in the Second Half of Life Is Declining: Changes in Gendered Internet Use Between 2014 and 2021 in Germany," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 78(8), pages 1386-1395.
    21. Jaanika Meriküll & Merike Kukk & Tairi Rõõm, 2021. "What explains the gender gap in wealth? Evidence from administrative data," Review of Economics of the Household, Springer, vol. 19(2), pages 501-547, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jjrfmx:v:18:y:2025:i:6:p:330-:d:1680751. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.