IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v49y2025i8s0308596125001223.html

A new digital era: Challenges and opportunities for Thai women in online marketplace

Author

Listed:
  • Liao, Lusi
  • Paweenawat, Sasiwimon Warunsiri

Abstract

This study investigated gender differences in Information and Communications Technology (ICT) and the determinants of women's participation in the online marketplace. We conducted descriptive and empirical analyses using data from the 2010 to 2023 Household Survey on the Use of ICT, which provides comprehensive data on ICT access and usage at both the household and individual levels. Moreover, to capture firm's characteristics involving in online market after the COVID-19 pandemic, we utilize the ICT establishment survey (ICTE) from 2020 to 2022. Both ICT and ICTE cover all country regions and are nationally representative, with an individual sample of around 30,000 and firm sample around 145,000. We found that gender, education, and digital access significantly influence participation in online shopping and online business in Thailand. Women are 10 percentage points more likely to shop online than men. Compared to primary education, university and secondary education increase the probability by 20 and 13 percentage points, respectively. Owning a device and using a computer increases the likelihood of online shopping by 11 and 17 percentage points, respectively. For online businesses, gender and marital status are not significant factors, but education remains important. While being unemployed reduces the probability of engaging in online business by 1.3 percentage points, access to digital devices and computer usage increases the probability by around three percentage points. For the firms, the use of computers increases the probability of participating in online shopping by 27.2 percentage points and doing online business by 23.3 percentage points. Disaggregated results highlight that younger, better-educated, urban women are more active in the online marketplace, supporting theories of digital inequality shaped by personal and structural factors. By applying the RA theory to digital inclusion, we highlight how unequal access to technology and education amplifies existing market inequalities. Our policy recommendations are designed to close these gaps, promoting a more inclusive and competitive digital economy in Thailand.

Suggested Citation

  • Liao, Lusi & Paweenawat, Sasiwimon Warunsiri, 2025. "A new digital era: Challenges and opportunities for Thai women in online marketplace," Telecommunications Policy, Elsevier, vol. 49(8).
  • Handle: RePEc:eee:telpol:v:49:y:2025:i:8:s0308596125001223
    DOI: 10.1016/j.telpol.2025.103025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596125001223
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.telpol.2025.103025?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Nicholas O. Alozie & Patience Akpan-Obong, 2017. "The Digital Gender Divide: Confronting Obstacles to Women's Development in Africa," Development Policy Review, Overseas Development Institute, vol. 35(2), pages 137-160, January.
    2. Marie Sicat & Ankai Xu & Ermira Mehetaj & Michael Ferrantino & Vicky Chemutai, 2020. "Leveraging ICT Technologies in Closing the Gender Gap," World Bank Publications - Reports 33165, The World Bank Group.
    3. Lopez-Sintas, Jordi & Lamberti, Giuseppe & Sukphan, Jakkapong, 2020. "The social structuring of the digital gap in a developing country. The impact of computer and internet access opportunities on internet use in Thailand," Technology in Society, Elsevier, vol. 63(C).
    4. Meng, Qingxuan & Li, Mingzhi, 2002. "New Economy and ICT development in China," Information Economics and Policy, Elsevier, vol. 14(2), pages 275-295, June.
    5. Rendall, Michelle, 2013. "Structural Change in Developing Countries: Has it Decreased Gender Inequality?," World Development, Elsevier, vol. 45(C), pages 1-16.
    6. Martínez-Domínguez, Marlen & Mora-Rivera, Jorge, 2020. "Internet adoption and usage patterns in rural Mexico," Technology in Society, Elsevier, vol. 60(C).
    7. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    8. Paweenawat, Sasiwimon Warunsiri & Liao, Lusi, 2022. "Parenthood penalty and gender wage gap: Recent evidence from Thailand," Journal of Asian Economics, Elsevier, vol. 78(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Siti Farrah Shahwir & Rahmawati Mohd Yusoff & Haslenda Yusop & Norlina M. Ali, 2025. "Bridging the Digital Gap: A Qualitative Analysis of Online Marketing Challenges for Rural Women Entrepreneurs in Malaysia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 9002-9009, September.

    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. Lusi Liao & Sasiwimon Warunsiri Paweenawat, 2021. "The inversion of married women's labour supply and wage: Evidence from Thailand," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(1), pages 82-98, May.
    2. Shuo Shi & Lu Zhang & Guohua Wang, 2023. "Bridging the Digital Divide: Internet Use of Older People from the Perspective of Peer Effects," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
    3. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2022. "Brain over Brawn: Job Polarization, Structural Change, and Skill Prices," PIER Discussion Papers 189, Puey Ungphakorn Institute for Economic Research.
    4. Joseph L Ward & Russell M Viner, 2016. "Secondary Education and Health Outcomes in Young People from the Cape Area Panel Study (CAPS)," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-14, June.
    5. Liangjie Fan, 2025. "Profiling the Internet Usage of Older Adults in China With Empirical Evidence From a National Survey," SAGE Open, , vol. 15(4), pages 21582440251, October.
    6. Izaskun Zuazu, 2023. "Structural Change and Gender Sectoral Segregation in Sub-Saharan Africa," Economics Working Paper Archive wp_1027, Levy Economics Institute.
    7. G. Miller & Yuriy Pylypchuk, 2014. "Marital Status, Spousal Characteristics, and the Use of Preventive Care," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 323-338, September.
    8. Bergvall, Sanna & Fernström, Clara & Ranehill, Eva & Sandberg, Anna, 2025. "The impact of PhD studies on mental health—a longitudinal population study," Journal of Health Economics, Elsevier, vol. 104(C).
    9. Michael Geruso & Dean Spears, 2018. "Neighborhood Sanitation and Infant Mortality," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 125-162, April.
    10. Resul Cesur & Naci H. Mocan, 2013. "Does Secular Education Impact Religiosity, Electoral Participation and the Propensity to Vote for Islamic Parties? Evidence from an Education Reform in a Muslim Country," NBER Working Papers 19769, National Bureau of Economic Research, Inc.
    11. Olof Östergren & Pekka Martikainen & Olle Lundberg, 2018. "The contribution of alcohol consumption and smoking to educational inequalities in life expectancy among Swedish men and women during 1991–2008," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(1), pages 41-48, January.
    12. Dalton, Patricio S. & Nhung, Nguyen & Rüschenpöhler, Julius, 2020. "Worries of the poor: The impact of financial burden on the risk attitudes of micro-entrepreneurs," Journal of Economic Psychology, Elsevier, vol. 79(C).
    13. Black, Sandra E. & Devereux, Paul J. & Salvanes, Kjell G., 2016. "Healthy(?), wealthy, and wise: Birth order and adult health," Economics & Human Biology, Elsevier, vol. 23(C), pages 27-45.
    14. Nóra Kovács & Anita Pálinkás & Valéria Sipos & Attila Nagy & Nouh Harsha & László Kőrösi & Magor Papp & Róza Ádány & Orsolya Varga & János Sándor, 2019. "Factors Associated with Practice-Level Performance Indicators in Primary Health Care in Hungary: A Nationwide Cross-Sectional Study," IJERPH, MDPI, vol. 16(17), pages 1-15, August.
    15. Petter Lundborg & Carl Hampus Lyttkens & Paul Nystedt, 2016. "The Effect of Schooling on Mortality: New Evidence From 50,000 Swedish Twins," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1135-1168, August.
    16. Tansel, Aysit & Karao?lan, Deniz, 2016. "The Causal Effect of Education on Health Behaviors: Evidence from Turkey," IZA Discussion Papers 10020, IZA Network @ LISER.
    17. Trinh Le Tan & Khanh Nguyen Chau Ngoc & Hien Le Thi Thanh & Hoai Nguyen Thi Thu & Uyen Vo Truong Hoang, 2024. "Enhancing Repurchase Intention on Digital Platforms Based on Shopping Well-Being Through Shopping Value, Trust and Impulsive Buying," SAGE Open, , vol. 14(3), pages 21582440241, September.
    18. Daniel Graeber, 2017. "Does More Education Protect against Mental Health Problems?," DIW Roundup: Politik im Fokus 113, DIW Berlin, German Institute for Economic Research.
    19. Chen, Yuanyuan & Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2023. "Education and Migrant Health in China," Economic Modelling, Elsevier, vol. 121(C).
    20. Giorgio Brunello & Dimitris Christelis & Anna Sanz‐de‐Galdeano & Anastasia Terskaya, 2024. "Does college selectivity reduce obesity? A partial identification approach," Health Economics, John Wiley & Sons, Ltd., vol. 33(10), pages 2306-2320, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

    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:eee:telpol:v:49:y:2025:i:8:s0308596125001223. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.