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A Sustainable Asset Valuation Assessment of Nature-Based Solutions in the Jukskei River Catchment in Johannesburg, South Africa
The assessment evaluates the viability of nature-based solutions (NbS) in Johannesburg's Jukskei River catchment, including riparian restoration and urban tree planting. Using the SAVi methodology, the report finds that these interventions are economically viable, with a discounted benefit-to-cost ratio (BCR) of 3.06 and cumulative net benefits of ZAR 152 million from 2025 to 2050. The most significant benefits are avoided health costs from water pollution and avoided infrastructure damage from flooding.
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Document type: Report
A Sustainable Asset Valuation Assessment of Nature-Based Solutions in Kigali, Rwanda
The assessment finds that nature-based solutions (NbS) in Kigali—including afforestation, reforestation, agroforestry, and urban tree planting—are economically viable, with a discounted benefit-to-cost ratio (BCR) of 2.09 and cumulative net benefits of RWF 17,039 million from 2025 to 2050. The primary economic driver is the avoidance of flood damage to infrastructure, valued at RWF 17,311 million, alongside significant intangible benefits from reduced water pollution and carbon sequestration. Sensitivity analyses indicate that higher valuations for carbon and water pollution further increase the project's economic viability, with BCRs reaching up to 2.94.
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Document type: Report
A Sustainable Asset Valuation Assessment of Nature-Based Solutions in the Dechatu River Catchment in Dire Dawa, Ethiopia
The report evaluates the impact of SUNCASA-implemented nature-based solutions (NbS) in Dire Dawa, Ethiopia, focusing on the Dechatu River Catchment. Using the SAVi methodology, it projects that interventions including afforestation, agroforestry, and urban tree planting will generate a discounted net benefit of ETB 101.6 million from 2025 to 2050, with a benefit-cost ratio (BCR) of 1.36. The primary economic driver is the avoidance of flood-related infrastructure damage, valued at ETB 188.1 million. The assessment also highlights significant intangible benefits, such as avoided health costs from water pollution (ETB 65.8 million) and carbon sequestration (ETB 54.2 million). Sensitivity analyses indicate the project remains viable even with a 94% tree survival rate or under higher carbon pricing scenarios.
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Document type: Report
SADC Futures of Green Industrialisation: A Call for an Alternative Paradigm?
The document critiques current green industrialisation (GI) strategies in the SADC region for remaining tethered to linear economic growth models and 'greenwashing'. It proposes a 'regenerative' alternative based on principles of holism, biomimicry, and African indigenous philosophies like Ubuntu and Ukama. Through scenario analysis, the authors present three possible futures: a business-as-usual scenario (Scenario A), a dystopian 'Apocalyptic Africa' (Scenario B) marked by extreme climate disasters and resource wars, and a 'Regenerative Revival' (Scenario C). The brief concludes that SADC must move beyond surface-level policy changes to shift deeper mental models and paradigms, recommending the use of strategic foresight, the empowerment of youth, and a 'bottom-in' approach to reach marginalised populations.
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Document type: Policy brief
A Systems Approach to Accelerating Climate Finance: Needs and Actor Analysis
The research identifies a sustainable infrastructure investment gap of USD 18-36 trillion in developing countries, with critical needs in power generation, transport, and water. It analyzes the roles of various public finance actors—including bilateral aid agencies, multilateral development banks (MDBs), and national development banks (NDBs)—highlighting a systemic mismatch where the largest mitigation potentials in upper-middle-income countries lack access to concessional finance. The paper argues for a shift from project-specific finance to financial system development and the scaling of blended finance and risk-mitigation instruments to crowd in private capital.
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Document type: Research paper