Roots of Prosperity
Summary
The report argues that while land restoration offers high economic returns—estimated at $7 to $30 for every dollar invested—it remains severely underfunded with an annual gap of approximately $300 billion. It identifies seven systemic barriers to investment, including the lack of market value for public benefits and long investment horizons. The authors recommend a cross-sectoral government approach, the use of carbon taxes to fund restoration, and the implementation of risk-mitigation tools like first-loss guarantees and tax credits to attract private capital. The document also provides a framework for economic valuation to make the full suite of ecosystem services visible to decision-makers.
Key insights
- Land degradation is a massive global economic burden, costing an estimated $6.3 trillion annually, which represents approximately 8.3 percent of the 2016 global GDP.
- Restoring degraded forests provides a highly favorable benefit-cost ratio, with estimates suggesting that every $1 invested can yield between $7 and $30 in economic benefits.
- There is a significant financing gap for conservation and restoration, with annual needs estimated between $300 billion and $400 billion, while available funding is only about $50 billion, 80 percent of which is public.
- Seven primary barriers stymie investment in restoration: the lack of market value for environmental/social benefits, perverse incentives to degrade land, difficulty accessing climate finance, reliance on small environmental budgets, project sizes too small for institutional investors, long investment horizons (10-20 years), and high perceived risk.
- Climate finance is disproportionately allocated away from land use; in 2015, only $7 billion (about 5 percent) of the $128 billion in public climate finance was used for land-use projects.
- Agricultural subsidies often act as perverse incentives that promote land degradation; for example, annual subsidies in Indonesia and Brazil are estimated at $27 billion and $10 billion respectively.
- Economic valuation of restoration varies by income level: low-income countries prioritize livelihood improvement, food and water security, and climate resilience, while high-income countries focus on ecological functionality, biodiversity, and scenic beauty.
- Restoration costs vary significantly by region and method; average costs in Africa were found to be $440 per hectare, which is lower than the global average of $1,276, while costs in Latin America and the Caribbean are generally higher (at least $900 per hectare) due to high-input interventions.
Cite the original document
- APA
- Ding, H., Faruqi, S., Wu, A., Altamirano, J. C., Ortega, A. A., Verdone, M., Cristales, R. Z., Chazdon, R., & Vergara, W. (n.d.). Roots of Prosperity. World Resources Institute. https://wriorg.s3.amazonaws.com/s3fs-public/roots-of-prosperity.pdf
- Chicago
- Ding, Helen, Sofia Faruqi, Andrew Wu, Juan Carlos Altamirano, Andrés Anchondo Ortega, Michael Verdone, René Zamora Cristales, Robin Chazdon, and Walter Vergara. Roots of Prosperity. World Resources Institute, n.d. https://wriorg.s3.amazonaws.com/s3fs-public/roots-of-prosperity.pdf.
- Wikipedia
- {{cite report |last1=Ding |first1=Helen |last2=Faruqi |first2=Sofia |last3=Wu |first3=Andrew |last4=Altamirano |first4=Juan Carlos |last5=Ortega |first5=Andrés Anchondo |last6=Verdone |first6=Michael |last7=Cristales |first7=René Zamora |last8=Chazdon |first8=Robin |last9=Vergara |first9=Walter |title=Roots of Prosperity |publisher=World Resources Institute |url=https://wriorg.s3.amazonaws.com/s3fs-public/roots-of-prosperity.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{dingndroots, author = {Ding, Helen and Faruqi, Sofia and Wu, Andrew and Altamirano, Juan Carlos and Ortega, Andrés Anchondo and Verdone, Michael and Cristales, René Zamora and Chazdon, Robin and Vergara, Walter}, title = {{Roots of Prosperity}}, institution = {World Resources Institute}, url = {https://wriorg.s3.amazonaws.com/s3fs-public/roots-of-prosperity.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
Full text
Collected · Record updated