This study employed a Descriptive-Survey Research Design with a mixed-method approach, combining both quantitative and qualitative data collection techniques to assess the socio-economic and environmental impacts of adopting green building techniques in Abuja, Nigeria. Data were collected from primary sources through structured surveys, semi-structured interviews, field observations, and secondary sources, including literature reviews. A multi-stage sampling method was used to select key stakeholders, such as developers, architects, government officials, and property owners. The Krejcie and Morgan sample size determination table was applied to ensure statistical validity. The quantitative data focused on financial metrics, cost analysis, and perceptions of stakeholders regarding green buildings. The qualitative data provided insights into construction practices through interviews and observations. Statistical techniques, including AMOS (Structural Equation Modeling), were applied to analyze key sustainability indicators, economic viability, and policy frameworks. Results indicated that the adoption of green building techniques offers substantial socio-economic benefits. The economic viability of green buildings was highlighted by reduced operational costs, energy savings, and water conservation strategies. The environmental benefits included significant reductions in carbon emissions, improved air quality, and waste reduction. However, challenges such as high initial costs, limited technical expertise, weak policy enforcement, and a lack of awareness among stakeholders were identified as barriers to widespread adoption. The findings suggest that green building practices can contribute to Abuja’s urban sustainability goals, but further improvements in policy, training, and public awareness are necessary to maximize these benefits. Statistical results, such as a Chi-squared/degree of freedom ratio (ChiSq/df) of 2.331, a Goodness of Fit Index (GFI) of 0.916, and Root Mean Square Error of Approximation (RMSEA) of 0.066, supported the model’s adequacy. Furthermore, the overall Cronbach's alpha coefficient for the reliability test was 0.956, indicating high internal consistency.
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