Abstract
This study explores the relationship between economic development and CO₂ emissions, with a focus on SDG-oriented policy insights for the Asia-Pacific region. Using Power BI as a visualization tool, the research analyses emissions intensity relative to GDP to identify trends, disparities, and pathways for decoupling economic growth from environmental degradation. Visualizations such as scatter plots, bar charts, line graphs, and maps serve as diagnostic tools to assess progress toward SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities), and SDG 13 (Climate Action). The findings show that while developed regions like Europe demonstrate lower emissions per GDP due to effective renewable energy policies and infrastructure, developing countries in Asia and Africa remain heavily dependent on fossil fuels, highlighting the need for clean energy transitions and inclusive climate action. Urbanizationdriven emissions in fast-growing economies like China and India emphasize the importance of sustainable urban planning. Countries with high GDP and low emissions serve as examples of successful decoupling through green finance, innovation, and regulation. Power BI enhances environmental governance by enabling informed decision-making and transparent SDG monitoring. The study demonstrates the value of data-driven tools in aligning economic growth with sustainability goals. Future research should incorporate sector-specific and longitudinal data to support more tailored policy interventions across different regional contexts.
Keywords: Asia-Pacific, CO₂ Emissions, Data Visualization, Economic Development, SDGs.