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“Understanding Agricultural Intensification and the Environmental Tradeoff Question: The Case of Mato Grosso
Brazil”
Peter GoldsmithDirector, Food and Agribusiness Program, University of
Illinois
Lemann DialogueNovember, 2013
A scientific debate• Green et al. (2005)
– Feeding the planet in 2050– Relieving poverty and malnutrition among developing countries
• Agricultural Intensification and Tradeoffs: A Faustian Bargain?– Direct effect
• Biome change- plant and wildlife• Pollution
– Indirect effect• Medium term
– Land sparing local– Land sparing global
• Long term development allows for investment in wild nature
– Indirect effect• Human development index
– Van Wey et al, 2013
– Indirect effect• Positive Feedback from profitability and productivity
– Get more when more productive
• Negative feedback– Greater productivity from other inputs, besides land
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
19481954
19601966
19721978
19841990
19962002
2008-500%
0%
500%
1000%
1500%
2000%
2500%
3000%
3500%
Factor Productivity of U.S. Agriculture: 1948-2011
OutputLandLaborEnergyFertilizer and limePesticides
Year
Perc
enat
ge In
crea
se s
ince
194
8
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
19481954
19601966
19721978
19841990
19962002
2008
-200%
-100%
0%
100%
200%
300%
400%
500%
Factor Productivity of U.S. Agriculture: 1948-2011 Output
LandLaborEnergyFertilizer and limePesticides
Year
Perc
enat
ge In
crea
se s
ince
194
8
+156%
+190%
+3022%
+32%
-26%
-78%
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
Mato Grosso as a Laboratory
• Fastest Growing and Largest agricultural state in the world
• Rain forest biome accounts for 25% of the state land.– Dominant biomes are dryland forest and cerrado
• Public and third part institutions are central to the Mato Grosso intensification story
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
1976/77
1978/79
1980/81
1982/83
1984/85
1986/87
1988/89
1990/91
1992/93
1994/95
1996/97
1998/99
2000/01
2002/03
2004/05
2006/07
2008/09
2010/11
2012/13
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
Crop Production over Time in Mato Grosso: 1977-2013
RiceSoybeanCottonSafrinha Maize
Crop Year
Thou
sand
s of
Hec
tare
s 90 million hectares of land
10% crop ground CAGR = 6.5%24% pasture
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
Various Biomes of Mato Grosso
Key Issues for Tradeoff Analysis1) Ranking biomes2) Not distinct boundaries3) Hard to enforce
Source: Arvor et al. 2010
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
1980's 1990's 2000's 2010's-5%
0%
5%
10%
15%
20%
25%
30%
35%
Soybean Compound Average Growth Rate By Decade: 1980-Present
HectaresYieldProduction
Decade
Aver
age
Annu
al C
hang
e
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
For agricultural businesses where will they find growth: a relentless economic force
• Grow through – Lower costs
• Technology adoption• Capital intensification• Costly
– Prices are exogenous– Soybean yield increases
• Flat• Costly
– Land expansion• “MAPITOBA”• But extensive, non land sparing
– Intensification through succession cropping• Generally only available to tropical zones
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
Agricultural Intensification through Safrinha Production
• Double cropping system for humid low latitude regions of the world– Important welfare question about the land sparing
effects of safrinha• Specific questions as to the factor productivity of:– Land– Labor– Capital– Chemicals– Energy
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
20002001
20022003
20042005
20062007
20082009
20102011
20122013
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
0.00
2.00
4.00
6.00
8.00
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20.00
Safrinha Miracle: Mato Grosso, Brazil
HectaresYieldProduction
Year
Hec
tare
s an
d Yi
eld
(mt/
hect
ares
)
Prod
uctio
n (m
etri
c to
ns)
Annual Growth Rate: Hectares = 12%Annual Growth Rate: Production = 20%
Annual Growth Rate: Yield = 7%
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
Area Planted Production Yield Starch Protein Oil
(ha) (mt) (mt/ha) (mt) (mt) (mt)
Maize IL 5,099,144 49,448,720 9.70 38,021,121 4,015,236 1,775,209
Mato Grosso 2,504,820 15,586,846 6.24 11,984,726 1,265,652 559,568
Soybean
IL 3,622,011 11,698,720 3.20 3,528,334 4,268,863 2,332,725
Mato Grosso 7,072,270 21,341,337 3.00 6,436,547 7,787,454 4,255,463
IL 8,721,156
Mato Grosso 7,072,270 IL Total Production (mt) 41,549,455 8,284,099 4,107,934
23% IL Total Yield (mt/ha) 4.76 0.95 0.47MT Total Production (mt) 18,421,273 9,053,106 4,815,030
MT Total Yield (mt/ha) 2.60 1.28 0.6835% Safrinha/64% of the Yield Mato Grosso vs. Illinois (%) -45% 35% 45%
50% Safrinha/75% of the Yield Mato Grosso vs. Illinois (%) -22% 47% 55%
75% Safrinha/90% of the Yield Mato Grosso vs. Illinois (%) 25% 72% 78%
Land Factor Productivity: Total Starch/Protein/Oil per Hectare
Mato Grosso (Low Lat) vs. Illinois (High Lat)
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois
Safrinha/Intensification Implications
• Profitability leads to land use– High prices “fence rows to fence rows”– A case where demand outstrips supply– So significant pressure to expand production
• But the price elasticity of supply is elastic– Prices will fall– Investment will slow– Capital will shift– Land (ceteris paribus) will be spared
• Comparable Biomes in Africa– Significant increase in HDI with intensification
• Van Wey et al, 2013
– Land sparing• Forested lands
• So do we bring these technologies to Africa?– University of Illinois' “FEED THE FUTURE INNOVATION LABORATORY FOR SOYBEAN VALUE CHAIN
RESEARCH”– 5 year/$25m USAID Project 2013-2018
• Is it a Faustian bargain?
P.D. Goldsmith, Department of Agricultural and Consumer Economics, University of Illinois