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A decision support system for managing results-based financed mega infrastructure programs

International Financial Institutions are exploring solutions that can ensure the effectiveness of funds with respect to the achievement of desired results/outputs. Results-Based finance (RBF) considers this goal through linking desired outputs to the disbursement of funds. This may require borrowers...

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Bibliographic Details
Main Author: Zahran, Kareem
Format: Thesis
Published: AUC Knowledge Fountain 2020
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Summary:International Financial Institutions are exploring solutions that can ensure the effectiveness of funds with respect to the achievement of desired results/outputs. Results-Based finance (RBF) considers this goal through linking desired outputs to the disbursement of funds. This may require borrowers to pre-finance programs and then receive their allocated disbursements after results are achieved, which could form cash flow gaps. The management of this type of programs requires the integration of multiple projects management and finance-based scheduling with the financial requirements of results-based funding mechanisms. For proper management of received funds, this research introduces a framework for the simulation and optimization of RBF funded programs, that serves as a Decision Support System (DSS) for borrowers while implementing RBF. The Program-For-Results (P4R) mechanism, offered by the World Bank (WB), was used as one of the RBF mechanisms for verifying the developed framework. A model was developed for guiding borrowing governments through the full processes of P4R. The proposed model provides governments a step-by-step guide through each stage from initiation to program closing. For verification, the model was applied on a case study for presenting its capabilities. It was validated using the Sustainable Rural Sanitation Services Program (SRSSP) in Egypt, and it showed an improvement in the overall financial standing of the government. This model was developed and applied on the P4R mechanism; however, it applies to any other RBF mechanism as they share the same concepts and mechanisms.