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This is a Quantitative Study study.

Smart Budget Allocation in Public Policy: A Data-Driven Approach for Equitable Resource Distribution

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This analysis demonstrates effective resource distribution using predictive analytics and optimization methods.

The proposed model enhances equitable resource distribution by integrating socioeconomic indicators and expenditure outcomes.
Evaluation results indicate significant potential in using machine learning and operations research for better governance.
This study uses linear regression forecasting and constrained linear programming to determine sector-specific budgets.
The framework supports national missions and improves transparency in fiscal decision-making.

Kaki et al. (2025) studied this question.

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