<![CDATA[Objectives We examine how renewable energy transition, energy dependency, and energy use influence economic growth across five ASEAN industrial economies Indonesia, Malaysia, Brunei, Thailand, Philippines and Vietnam over the period 1990 to 2022. The goal is to measure the impact of renewable energy transition on GDP per capita in these six countries using panel data modeling. Theoretical Framework Grounded in the energy-growth nexus, our study explores how varying levels of renewable energy penetration and fossil energy dependency might shape long-run economic outcomes. We carry out the analysis within the transition theory of energy sustainability, highlighting disparities among the six ASEAN member countries. Method We make use of big data SAS software to conduct static panel data regression with real-time updates from World Bank Open Data. Our model includes pooled OLS, random effects, and fixed effects estimations to measure the hypothetical relationships between energy use (kg), energy net import (%), renewable energy output (%) and GDP per capita (USD). Results and Discussion Our analysis indicates that energy use (EU) positively affects GDP per capita with a strong and statistically significant coefficient (β = 4.29, p < 0.0001). Net energy import (ENI) also contributes positively (β = 5.50, p = 0.0014). Notably, renewable energy output (REO) shows a positive significant relationship at 10 percent level under the fixed effects model (β = 48.95, p = 0.0807). A closer look reveals that Vietnam and Philippines are leading in embracing renewable transition, while Brunei lags behind with a near-zero REO. This finding may reflect policy inertia and uneven energy investment across countries in the South East Asia region. Research Implications and Originality/Value Our findings contribute to both policy design and theoretical refinement by revealing how clean energy development influences inclusive economic growth. The novelty of this research lies in its use of panel econometrics integrated with real-time big data analytics, offering a replicable model for energy monitoring in developing regions. This study also provides ASEAN policymakers with targeted insights for accelerating the clean energy transition through data-driven governance. Keywords: ASEAN industrial economies, big data analytics, equitable environments, panel data regression, renewable energy transition]]>
