High Productivity Agricultural Techniques in Brazil
Summary
The report analyzes the adoption of the Direct Planting System (DPS) in Brazil, finding that while the method increases crop yields and reduces carbon emissions, adoption remains low at approximately 10% as of 2006. The authors identify 'social learning'—farmers learning from peers—as a primary driver of adoption, which is significantly hindered by soil dissimilarity within municipalities. The study finds that soil diversity has the strongest negative impact on adoption at intermediate levels (18% to 50%), whereas it has no effect at very low or very high adoption rates. To overcome these barriers, the report suggests that public policy should prioritize temporary, itinerant training programs in areas with high soil similarity to raise adoption to a threshold where social learning can naturally take over.
Key insights
- The Direct Planting System (DPS) provides agricultural and environmental benefits, including higher crop yields, lower costs, and reduced carbon emissions, yet adoption in Brazil remained very low at 10% in 2006 for both small and large-scale farmers.
- Social learning—the process of farmers learning from neighbors and peers—is a major factor in the spread of DPS, but it is hindered by soil dissimilarity because the technique must be adapted to specific soil conditions.
- Soil dissimilarity negatively impacts DPS adoption most significantly at intermediate adoption levels (between 18% and 50%), with the strongest effect occurring near 40% adoption, where it reaches 5.8%.
- Soil dissimilarity has no impact on adoption when levels are very low (up to 18%), as there are too few adopters to learn from, or very high (above 50%), as the barrier has already been overcome.
- Alternative dissemination channels, such as cooperatives and private training centers, complement social learning by raising adoption to levels where peer-to-peer learning becomes viable; cooperatives increase adoption by 18.6% and proximity to training centers increases it by 8.6%.
- The 'Clube da Minhoca' (Earthworm Club) serves as a successful private sector model of itinerant training, establishing temporary branches in low-adoption municipalities to spark initial uptake before moving on once social learning becomes viable.
- The report argues that the 2010 Agricultura de Baixo Carbono (ABC - Low-Carbon Agriculture) program's use of subsidized rural credit may be insufficient if non-financial restrictions, such as lack of information and soil diversity, are not addressed.
Cite the original document
- APA
- Assunção, J., Bragança, A., & Hemsley, P. (2013). High Productivity Agricultural Techniques in Brazil. Climate Policy Initiative. https://www.climatepolicyinitiative.org/wp-content/uploads/2013/11/High-Productivity-Agricultural-Techniques-in-Brazil-Adoption-Barriers-and-Potential-Solutions.pdf
- Chicago
- Assunção, Juliano, Arthur Bragança, and Pedro Hemsley. High Productivity Agricultural Techniques in Brazil. Climate Policy Initiative, 2013. https://www.climatepolicyinitiative.org/wp-content/uploads/2013/11/High-Productivity-Agricultural-Techniques-in-Brazil-Adoption-Barriers-and-Potential-Solutions.pdf.
- Wikipedia
- {{cite report |last1=Assunção |first1=Juliano |last2=Bragança |first2=Arthur |last3=Hemsley |first3=Pedro |title=High Productivity Agricultural Techniques in Brazil |publisher=Climate Policy Initiative |date=October 2013 |url=https://www.climatepolicyinitiative.org/wp-content/uploads/2013/11/High-Productivity-Agricultural-Techniques-in-Brazil-Adoption-Barriers-and-Potential-Solutions.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{assuno2013high, author = {Assunção, Juliano and Bragança, Arthur and Hemsley, Pedro}, title = {{High Productivity Agricultural Techniques in Brazil}}, institution = {Climate Policy Initiative}, year = {2013}, month = oct, url = {https://www.climatepolicyinitiative.org/wp-content/uploads/2013/11/High-Productivity-Agricultural-Techniques-in-Brazil-Adoption-Barriers-and-Potential-Solutions.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }
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