Transparency in Global Agribusiness: Transforming Brazil’s Soybean Supply Chain Based on Companies’ Accountability
Abstract
:1. Introduction
2. Theoretical Framework
2.1. Soybean Agribusiness
2.2. Agribusiness Companies’ Accountability
3. Methods
Segment | Market Size in 2020 (in USD Billion) | Proportion of the Whole Market (%) | Source |
---|---|---|---|
Seeds | 2.0 | 2.3 | BRL 8 billion worth market [36] |
Machinery | 2.3 | 2.6 | BRL 11 billion worth market, 85% soybean [42] |
Fertilisers | 4.7 | 5.4 | Soybean represents 47% of Brazil’s fertiliser market worth USD 10.2 billion [37] * |
Agrochemicals | 8.1 | 9.3 | Soybean represents 71% of Brazil’s pesticides market worth USD 11.5 billion (Santos & Glass, 2018) |
Farming | 28.6 | 32.9 | Considering 114.8 tons produced in 2020 [43] |
Trading | 41.2 | 47.5 | USD 34.7 billion exported plus domestic market [44] |
Total | 86.9 | 100 |
4. Results
4.1. Key Stakeholders Based on Market Shares
4.2. Trade-Offs Based on Market Size
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Segments | Organisations |
---|---|
Seeds | Brazilian Association of Soybean Seeds Producers (Abrass) |
Fertilisers | National Fertilisers Association (ANDA) |
Agrochemicals | Brazilian Association of Generic Pesticides (Aenda) |
Machinery | National Manufacturers Association of Motor Vehicles (Anfavea) |
Farmers | Soybean Producers Association (Aprosoja) |
2015 | 2020 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Segment | Company | Home Country | Total | Brazil | Total | Brazil | US | Germany | China | Others | |
Seeds | Technology | Bayer (Monsanto) | Germany | 88.8 | 0.0 | 90.0 | 0.0 | 0.0 | 90.0 | 0.0 | 0.0 |
Pioneer/Corteva | United States | 5.8 | 0.0 | 6.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0.0 | ||
Others | Multinational | 5.4 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | ||
Production | GDM and others | Multinational | 50.0 | 0.0 | 75.0 | 0.0 | 6.0 | 29.0 | 2.0 | 38.0 | |
TMG and others | Brazil | 50.0 | 16.5 | 25.0 | 8.7 | 0.0 | 16.3 | 0.0 | 0.0 | ||
Subtotal | 100.0 | 16.5 | 100.0 | 8.7 | 6.0 | 67.6 | 1.0 | 21.0 | |||
Machinery | Tractors | AGCO Massey | United States | 25.6 | 0.0 | 16.9 | 0.0 | 16.9 | 0.0 | 0.0 | 0.0 |
AGCO Valtra | United States | 22.3 | 0.0 | 13.4 | 0.0 | 13.4 | 0.0 | 0.0 | 0.0 | ||
CNH Case | Italy | 6.4 | 0.0 | 9.4 | 0.0 | 0.0 | 0.0 | 0.0 | 9.4 | ||
CNH New Holland | Italy | 19.3 | 0.0 | 23.1 | 0.0 | 0.0 | 0.0 | 0.0 | 23.1 | ||
John Deere | United States | 22.5 | 0.0 | 36.7 | 0.0 | 36.7 | 0.0 | 0.0 | 0.0 | ||
Agrale S.A | Brazil | 3.8 | 3.8 | 0.4 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Combines | AGCO Massey | United States | 10.3 | 0.0 | 6.4 | 0.0 | 6.4 | 0.0 | 0.0 | 0.0 | |
AGCO Valtra | EU | 3.2 | 0.0 | 0.9 | 0.0 | 0.9 | 0.0 | 0.0 | 0.0 | ||
CNH Case | Italy | 15.5 | 0.0 | 18.5 | 0.0 | 0.0 | 0.0 | 0.0 | 18.5 | ||
CNH New Holland | Italy | 31.0 | 0.0 | 33.5 | 0.0 | 0.0 | 0.0 | 0.0 | 33.5 | ||
John Deere | United States | 40.0 | 0.0 | 40.7 | 0.0 | 40.7 | 0.0 | 0.0 | 0.0 | ||
Subtotal | 100.0 | 1.9 | 100.0 | 0.2 | 57.5 | 0.0 | 0.0 | 42.3 | |||
Fertilisers | Phosphorus | Vale (now Mosaic) | United States | 29.6 | 29.6 | 29.7 | 0.0 | 29.7 | 0.0 | 0.0 | 0.0 |
Anglo American | UK | 5.9 | 0.0 | 6.7 | 0.0 | 0.0 | 0.0 | 0.0 | 6.7 | ||
Others | Brazil/Multinationals | 20.6 | 10.3 | 19.6 | 17.5 | 0.0 | 0.0 | 0.0 | 2.1 | ||
Imported | 44.0 | 0.0 | 44.0 | 0.0 | 7.5 | 0.0 | 7.0 | 29.5 | |||
Potassium | Vale (now Mosaic) | United States | 8.0 | 8.0 | 5.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | |
Imported | 92.0 | 0.0 | 95.0 | 0.0 | 0.0 | 11.4 | 0.0 | 83.6 | |||
Manufacture | Yara | Norway | 20.5 | 20.5 | 25.0 | 0.0 | 0.0 | 0.0 | 0.0 | 25.0 | |
Mosaic/ADM | United States | 19.0 | 19.0 | 20.0 | 0.0 | 20.0 | 0.0 | 0.0 | 0.0 | ||
Dreyfus | France | 1.5 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Nutrien | Canada | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | ||
Fertipar | Brazil | 17.7 | 17.7 | 15.0 | 15.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Heringer (undergoing judicial recovery) | Brazil (56%) | 13.3 | 7.4 | 6.0 | 3.3 | 0.0 | 0.0 | 0.0 | 2.7 | ||
Regional | Brazil | 8.2 | 8.0 | 7.0 | 6.5 | 0.0 | 0.0 | 0.0 | 0.5 | ||
Outros | Brazil/Multinationals | 17.3 | 8.6 | 17.0 | 5.0 | 0.0 | 0.0 | 0.0 | 12.0 | ||
Subtotal | 100.0 | 33.5 | 100.0 | 19.2 | 20.5 | 2.9 | 1.8 | 55.6 | |||
Pesticides | Syngenta/ChemChina | China | 21.2 | 0.0 | 18.6 | 0.0 | 0.0 | 0.0 | 18.6 | 0.0 | |
Bayer | Germany | 15.3 | 0.0 | 15.7 | 0.0 | 0.0 | 15.7 | 0.0 | 0.0 | ||
Basf | Germany | 12.4 | 0.0 | 9.2 | 0.0 | 0.0 | 9.2 | 0.0 | 0.0 | ||
UPL | India | 0.0 | 0.0 | 8.9 | 0.0 | 0.0 | 0.0 | 0.0 | 8.9 | ||
FMC | United States | 7.1 | 0.0 | 8.5 | 0.0 | 8.5 | 0.0 | 0.0 | 0.0 | ||
Corteva | United States | 0.0 | 0.0 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | ||
DuPont | United States | 6.5 | 0.0 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | ||
Dow | United States | 5.6 | 0.0 | 3.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | ||
Others | Multinational | 26.6 | 0.0 | 22.3 | 0.0 | 5.0 | 3.0 | 5.0 | 9.3 | ||
Nortox | Brazil | 2.3 | 2.3 | 2.7 | 2.7 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Ourofino | Brazil | 1.0 | 1.0 | 2.1 | 2.1 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Small companies | Brazil | 2.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Subtotal | 100.0 | 4.3 | 100.0 | 5.8 | 24.5 | 27.9 | 23.6 | 18.2 | |||
Farming | Subtotal | 100.0 | 93.4 | 100.0 | 93.4 | 2.0 | 0.0 | 1.0 | 3.6 | ||
Trading | Cargill | United States | 12.4 | 0.0 | 11.4 | 0.0 | 11.4 | 0.0 | 0.0 | 0.0 | |
Bunge | United States | 15.7 | 0.0 | 9.4 | 0.0 | 9.4 | 0.0 | 0.0 | 0.0 | ||
ADM | United States | 10.0 | 0.0 | 7.8 | 0.0 | 7.8 | 0.0 | 0.0 | 0.0 | ||
Dreyfus | France | 5.4 | 0.0 | 7.5 | 0.0 | 0.0 | 0.0 | 0.0 | 7.5 | ||
Cofco | China | 0.0 | 0.0 | 3.8 | 0.0 | 0.0 | 0.0 | 3.8 | 0.0 | ||
Others | Multinational | 25.8 | 0.0 | 44.0 | 0.0 | 11.0 | 3.0 | 15.0 | 15.0 | ||
Amaggi | Brazil | 4.1 | 44.0 | 6.6 | 6.6 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Coamo | Brazil | 4.5 | 4.5 | 2.3 | 2.3 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Cutrale | Brazil | 0.1 | 0.1 | 1.7 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Bianchini | Brazil | 3.5 | 3.5 | 1.2 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Caramuru | Brazil | 2.3 | 2.3 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Granol | Brazil | 3.5 | 3.5 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Comigo | Brazil | 1.7 | 1.7 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Algar Agro | Brazil | 1.7 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Others | Brazil | 9.3 | 9.3 | 2.9 | 2.9 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Subtotal | 100.0 | 30.7 | 100.0 | 16.1 | 39.6 | 3.0 | 18.8 | 22.5 |
Current Situation | Projection | Outcome | ||||
---|---|---|---|---|---|---|
Expansion into agricultural frontiers | Area with soybeans in Brazil (million ha) | Gross income (USD billion) | Measure (Curb deforestation) | Area with soybeans (million ha) | % | Income (USD billion) |
Amazon | 36.4 | 28.6 | 100% | 4.5 | 12.4 | 3.5 |
Matopiba | 36.4 | 28.6 | 100% | 5.7 | 15.7 | 4.5 |
Increased market share | Current domestic share | Gross income generated (USD billion) | Measure (increase in domestic market share by) | Targeted market share | % | Income generated (USD billion) |
Trading | 16.0 | 41.2 | 11% | 27.0 | 6.6 | 4.5 |
Whole chain | 7.1 | 86.9 | 5.2% | 12.3 | 6.2 | 4.5 |
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Medina, G.; Thomé, K. Transparency in Global Agribusiness: Transforming Brazil’s Soybean Supply Chain Based on Companies’ Accountability. Logistics 2021, 5, 58. https://doi.org/10.3390/logistics5030058
Medina G, Thomé K. Transparency in Global Agribusiness: Transforming Brazil’s Soybean Supply Chain Based on Companies’ Accountability. Logistics. 2021; 5(3):58. https://doi.org/10.3390/logistics5030058
Chicago/Turabian StyleMedina, Gabriel, and Karim Thomé. 2021. "Transparency in Global Agribusiness: Transforming Brazil’s Soybean Supply Chain Based on Companies’ Accountability" Logistics 5, no. 3: 58. https://doi.org/10.3390/logistics5030058
APA StyleMedina, G., & Thomé, K. (2021). Transparency in Global Agribusiness: Transforming Brazil’s Soybean Supply Chain Based on Companies’ Accountability. Logistics, 5(3), 58. https://doi.org/10.3390/logistics5030058