The geographic distribution of the economic impact of climate finance

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The research analyzes how climate finance investments generate economic value added not only in recipient countries but also in third countries through international trade, termed 'spill-overs'. Using a GMRIO model, the study finds that on average 28.6% of the total economic impact spills over to other countries. The ability to retain value added varies by country, with India and Brazil retaining around 80%, while Mexico and Indonesia retain no more than two thirds. The EU is the primary beneficiary of these spill-overs. The study also identifies that different types of climate actions produce varying levels of spill-overs: renewable energy technologies often generate high spill-overs (exceeding 35% for some), whereas forestry and coastal protection generate fewer than 20%. The authors suggest that donor countries may be influenced by these spill-over prospects when allocating funds, and recipient countries should improve industrial competitiveness to retain more economic gains.

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  • On average, international spill-overs—economic impacts occurring outside the country where climate finance is spent—account for 28.6% of the total economic impact.
  • The capacity of recipient countries to retain the value added from climate investments varies significantly: India and Brazil retain approximately 80%, China retains 72%, and Mexico and Indonesia retain no more than two thirds.
  • The European Union is the region that benefits most from international spill-overs, capturing 9% of impacts from investments in China and 7% from Brazil, Indonesia, and Mexico.
  • The United States captures a disproportionately high share of spill-overs from investments in Mexico (15%), but less than 3% from other recipient countries.
  • Spill-over effects vary by the type of climate action, ranging from 17% to 45%. High spill-overs (over 35%) are associated with ocean power, solar thermal power, onshore wind, surface geothermal, hydropower, and renewables in buildings.
  • Climate actions with the lowest spill-over rates (less than 20%) include the forestry sector, building insulation, and coastal protection.
  • For recipient countries, the most effective actions for stimulating domestic growth are forestry and capacity building (M&A), coastal protection, social protection, and waste management (adaptation), building insulation (EE), and biofuels, deep geothermal, large biomass, and CSP (RE).
  • Donor countries capture an average of 2% to 7% of the impact, with renewable energy investments providing the highest potential spill-overs (between 2% and 8%).
  • The study suggests that the observed bias in climate finance toward energy sector mitigation projects may be partially explained by the substantial spill-overs these projects generate for donor countries.

Cite the original document

APA
Román, M. V., Arto, I., & Ansuategi, A. (2016). The geographic distribution of the economic impact of climate finance. Basque Centre for Climate Change. https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20160831090045937970897.pdf
Chicago
Román, María Victoria, Iñaki Arto, and Alberto Ansuategi. The geographic distribution of the economic impact of climate finance. Basque Centre for Climate Change, 2016. https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20160831090045937970897.pdf.
Wikipedia
{{cite report |last1=Román |first1=María Victoria |last2=Arto |first2=Iñaki |last3=Ansuategi |first3=Alberto |title=The geographic distribution of the economic impact of climate finance |publisher=Basque Centre for Climate Change |date=July 2016 |url=https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20160831090045937970897.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{romn2016geographic, author = {Román, María Victoria and Arto, Iñaki and Ansuategi, Alberto}, title = {{The geographic distribution of the economic impact of climate finance}}, institution = {Basque Centre for Climate Change}, year = {2016}, month = jul, url = {https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20160831090045937970897.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }

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