United Nations Environment Programme (UNEP)

$4,800,000.00 CAD

≈ 62 Canadians' average pay for a year
Department
Global Affairs Canada
Program
Recipient country
Indonesia
Fiscal year
2020-2021
Agreement period
March 15, 2021 – December 31, 2025
Reference
CA-3-P007341001

Published purpose

This project contributes to strengthening participants' knowledge and capacities to develop innovative financing mechanisms, including foster a network in innovative financing in the country/region. The Tropical Landscape Financing Facility (TLFF) is an informal partnership that facilitates private sector participation in sustainable landscape activities. This public-private partnership institution brings together like-minded entities that inspire, inform, and enable new business models to help Indonesia deliver its national development objectives - National Action Plan for Green House Gas emission reductions and National Determined Contributions. The TLFF aims to facilitate medium and long tenor debt finance at scale to companies working in renewable energy and sustainable agriculture. The objectives include forest retention, improved rural livelihoods, peatland restoration and rehabilitation, sustainable supply chains, clean energy, reduced emissions, biodiversity protection, and pollution reduction. Canada’s support helps the TLFF Grant Fund window to disburse conventional grants to potential applicants, which helps them become bankable and facilitates the mobilization of investment capital. This project furthers the objectives of the Feminist International Assistance Policy and Canada’s feminist approach to climate finance by demonstrating the business case for investments at the nexus of gender and climate change and building a market for gender-responsive climate projects.

Community tags

Tags are applied by readers, not by this site. One tag per person per record.

Good value Local impact Needs context Questionable Success story Wasteful
View official source record Imported July 30, 2026 from Global Affairs Canada IATI data