1. Jim Hansen, Syd Cochrane, Getachew Nigatu
Agricultural Economist
USDA, Economic Research Service
June 27, 28, 29 2016
Long-term Projections
of International Agricultural Trade,
ECOWAS Agriculture to 2025 and Model
2. Presentation Outline
• Description of USDA 10 Year Commodity Projections
• Macroeconomics, population, and energy
• ECOWAS Model
• US commodities and International trade
• ECOWAS agricultural projections
• Conclusion
3. USDA’s Agricultural Projections
• 10-year projection of major commodities
- Supply, demand, trade, and prices.
- Based on November 2015 market conditions. Released Feb 2016
• Assumptions:
- Continuation of current U.S. law
- Continuation of existing international trade agreements
- Population growth slows, strongest in developing countries
- Macroeconomic growth – strongest in emerging markets
• Composite of Model Results and Analysts Judgment
- Modeling system: dynamic partial equilibrium trade
- 40 countries/regions,
- 24 commodity markets
• Equilibrates: (Supply = Demand) & (Imports = Exports)
Solves for prices and trade, clear world and country markets
4. Demand Structure:
•Per Capita GDP growth
- Population growth
- GDP growth
•Own and Substitute Prices
•Rural and Urban for some countries
•Diet Diversification in developing countries
GDP/Capita Growth
Urbanization
Income distribution equality
Food away from home
5. Changes in Food Consumption:
• Greater consumption of:
- Fruits & Vegetables
- Vegetable Oils
- Processed Cereal Products
- Meats & Dairy Products
Feed Demand Increases
Import demand for Feed grains
• Less consumption of:
- Staple grains - rice in Asia, corn in Indonesia and Mexico
- Low-quality grain varieties and switching to high-quality
(high-quality varieties may lower yields)
- Roots & tubers
7. Commodities in ERS ECOWAS Model
• Livestock: (3 sectors)
– Beef, Pork, and Poultry
• Crops: (9 sectors)
– Wheat, Rice
– Corn, Sorghum, Other-Coarse-Gr (mostly millet)
– Other seeds (mostly peanuts), meal and oil
– Cotton, sugar, cocoa
– Blank sections no data – barley, soybeans meal oil,
8. • Elasticity Partial Equilibrium model
• Model in Excel Spread sheet - 3 main sheets
Commodity models (Forecast)
Parameters,
Base-Scenario (table)
• Data Requirement for Model
– Macroeconomic variables
– Agriculture data (aggregate) –
• USDA Production, supply and Disappearance and FAO
– Prices and Policies
9. Modeling the Agriculture Economy:
• Production & consumption
– Crops: area, yield, consumption, stocks and trade
– Livestock: animals inventory, production, consumption,
trade, stocks
• Model as a System
– Accounting (0 = PROD+BSTK+IM-TCON-EX-ESTK)
– Number of different identities must hold
– Stock issue, government, farm household
10. Modeling Production:
• Production
Gross return = lagged prices x expected yield
Yield = f(gross return, technology time trend)
Area = f(gross return, alternative crops GR, tech)
Production = Yield x Area
Total Supply = Production + Imports + Beg Stocks
11. Modeling Consumption:
• Consumption
Per capita cons = f(own price, sub prices, income)
Food cons = per capita cons x population
Total cons = food cons + feed cons + waste + industry use
Total Disappearance = Total cons + exports + end stocks
12. Modeling Stocks & Trade:
• Ending and beginning stocks
Beginning stocks = lagged(Ending stocks)
Ending stocks = f(production or consumption, trend)
Exports = f(consumer price, export price, trend)
Imports = f(producer price, export price, trend)
Imports and exports are also identities for some commodities
Imports = Cons + endstocks – production – exports-begstocks
13. Closing the Model:
• Domestic prices solved in the model for some
commodities
Total Disappearance = Total cons + exports + end stocks
Total Supply = Production + Imports + Beg Stocks
Prices solved in the model until supply = demand
0 = Total Supply - Total Disappearance
39. 0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
70 73 76 79 82 85 88 91 94 97 00 03 06 09 12 15 18 21 24
Production Exports Consumption
ECOWAS Cotton
Production, Exports, and Consumption (million mt)
Million metric tons
Exports
Total Consumption
Production
40. 80
100
120
140
160
180
200
220
240
260
1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020
80
100
120
140
160
180
200
220
240
260
Total world grain & oilseeds1
Production, yield, area harvested, population & per cap production
Index: 1970 = 100
1/Oilseeds = soybeans + rapeseed + sunflowers.
Source: Compiled from USDA’s PS&D Database & Baseline Projections
Growth rates: Exponential Trend (%/year)
1970-1990 1990- 2009 2010- 2019
Production 2.4 % 1.54 1.27
Yields 1.9 1.21 0.70
Area 0.50 0.33 0.57
41. 80
100
120
140
160
180
200
220
240
260
1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020
80
100
120
140
160
180
200
220
240
260
Total world grain & oilseeds1
Production, yield, area harvested, population & per cap production
Index: 1970 = 100
1/Oilseeds = soybeans + rapeseed + sunflowers.
Source: Compiled from USDA’s PS&D Database & Baseline Projections
Per Capita/Production
Growth rates: Exponential Trend
1970 - 90 1990 - 09 2010 - 19
Production 2.4 1.54 1.27
Yields 1.9 1.21 0.70
Population 1.7 1.30 1.06
Area 0.50 0.33 0.57
Capita/Pro 0.61 0.28 0.20
42. Conclusions and Summary:
• Strong global trade growth in most agriculture commodities,
without significant increases in real world commodity prices.
• Strong income growth in developing countries and urbanization
lead to increased import demand for grains, High Value Products
• Trade to remain very competitive
Expanding production potential in Brazil & Argentina, FSU, EU
Indonesia expands palm oil production.
• Uncertainties, Ethanol and trade, Bio-energy policies,
BSE, Avian influenza, food safety, China and Brazil,
natural resource constraints – water, changing demographics and
effect on food demand