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Abstract: This study investigates the strategic role of digital economy cooperation
between Indonesia and Singapore in driving economic transformation amid
globalization. Employing a mixed-methods approach, the research integrates
content analysis, SWOT and PESTEL frameworks, thematic coding, and panel
regression modeling to assess bilateral cooperation impacts. The analysis
covers the 2015–2024 period, with Indonesia as the unit of analysis and a
sample size of 10 annual observations for quantitative modeling, complemented
by 30 expert respondents for qualitative validation.
Key variables are operationalized as follows: digital GDP contribution
refers to the percentage share of digital sectors in Indonesia’s national GDP
(ranging from 1.5% to 7.9%); startup growth is measured by the number of active
digital startups (0.8k to 5.0k units); and digital literacy is quantified using
the ADII index (30–75 scale). Regression results show that digital FDI (β =
0.42), startup growth (β = 0.31), and digital literacy (β = 0.55) significantly
influence digital GDP, with the model explaining 81% of the variance (R² =
0.81).
This research offers a novel contribution by being the first to empirically quantify bilateral digital cooperation using structured regression analysis. Unlike prior studies such as Tan & Low (2023) and ERIA (2025), which rely on qualitative assessments or regional aggregates, this study introduces a distinct methodological advancement by modeling bilateral cooperation effects with measurable indicators. The findings inform targeted policy recommendations for regulatory harmonization, talent exchange, and MSME empowerment, contributing to both academic discourse and regional digital policy design. DOI: https://doi.org/10.51505/IJEBMR.2025.91115 |
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