Academic research · Rangsit University · 2025
Blockchain for Economic Stimulation
Lessons from Thailand’s digital wallet scheme and the case for blockchain integration.
Thailand’s 10,000-baht digital wallet scheme was delivered through a centralized system, and its third phase was postponed, leaving some eligible people without funds. Our team asked how people in that position view blockchain features for delivering public stimulus.
- My role
- Team leader and research analyst
- Course
- ICT 402 Research Methodology, Rangsit University International College
- Completed
- July 2025 · Team of 4
The research question
Blockchain was discussed for the scheme, but the government used a centralized system because of infrastructure and regulatory constraints. We studied three features that a blockchain-based model could offer: programmability, fraud prevention, and accessibility and inclusion.
The question was how each feature relates to how effective people expect a blockchain-based stimulus scheme to be. The study measures perceptions; it does not build or test a blockchain system.
How we studied it
We ran a structured questionnaire in Thai and English through Google Forms. It focused on Rangsit University students who met the eligibility criteria but did not receive funds after the third phase was postponed, and collected 60 responses.
- Multiple linear regression, with the three features as predictors of perceived effectiveness.
- Reliability checks with Cronbach’s alpha, from 0.79 to 0.84 across the three features.
- Assumption checks for normality, multicollinearity and independence.
- Analysis in Python and SPSS.
What we found
The model explained 67.8% of the variation in perceived effectiveness (R² = 0.678).
- Programmability, such as automated, rule-based transfers, was the strongest positive factor.
- Fraud prevention, through traceability and verification, was also positive.
- Accessibility and inclusion had a negative relationship. Concerns about internet access, smartphone dependency and exclusion may lower confidence unless the design addresses them.
My role
As team leader, I guided the project design and direction, coordinated data collection and analysis, designed the survey framework and ran the regression analysis. I also developed the conceptual blockchain-based model and contributed to the technical and policy discussion.
What I learned
Leading the study strengthened my skills in coordinating a team, analysing data and explaining technical ideas clearly. It also showed me that technology alone does not guarantee fair access: a system people trust needs to be designed around the people who will use it.