Value for Money Modeling for Scaling up Nature-Based Solutions for Improving Integrated Water Resources Management and Enhanced Water Security in Pakistan
DOI:
https://doi.org/10.62345/jads.2024.13.3.2Keywords:
Nature-Based Solutions (NBS), Ecosystem Services, VFM AnalysisAbstract
This paper is about the Value for Money (VfM) analysis conducted for the Water Resource Accountability (WRAP) Project, which comprehensively evaluates the project’s economic efficiency, effectiveness, equity, and overall impact. The WRAP implements to undertake demonstrations of Nature-based Solutions (NbS), including Ecosystem-based Adaptation (EbA) interventions that will improve water security and governance, build resilience to climate change of communities at the target sites in Gilgit-Baltistan (GB) and Khyber Pakhtunkhwa (KP), and enable the government and relevant stakeholders to implement and replicate NbS in Pakistan for building climate change resilience. The Paper is based on primary and secondary data collected using a well-structured interview schedule, focus group discussion, and other verified reports. The excel-based model was used for analysis, and a step-by-step and structured framework was used to conduct a VfM assessment. VFM estimates showed a favorable BCR across various interventions, with standout results like the Gabion check weirs and protection bunds (Gabion Bund) intervention achieving an impressive BCR of 3.50. These findings reaffirm the project’s ability to deliver substantial benefits while efficiently utilizing resources, making it a prudent investment in water resource management and natur- based solutions. WRAP’s equity analysis promotes inclusivity and fairness, particularly among vulnerable populations. While the project made significant strides in involving women in water-efficient practices, there is room for enhancing inclusiveness for lower-income and disabled populations. Recommendations emphasize setting specified targets for various populace categories to bolster the project’s social impact further.
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