Geography, Farm Structure, and Finances

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1 Reshaping Agricultural Production: Geography, Farm Structure, and Finances James M. MacDonald USDA Economic Research Service Kansas City Federal Reserve Bank Farming, Finance, and the Global Marketplace Kansas City, Missouri, June 8, 21

2 Outline Country projections, from USDA baseline Summarize the key implications Highlight some crucial assumptions Farm structure Shifts to larger farms: description and analysis Implications for finance and business links Risks and contractual arrangements

3 25 USDA Baseline Projections: Poultry Production China M e t r i c t o n s ( ) USA (broilers only) Brazil EU-27 India Mexico

4 6 USDA Baseline Projections: Pork Production 5 China M e t r i c t o n s 4 3 ( ) 2 EU-27 1 USA

5 USDA Baseline Projections: Soybean Production 1 9 Argentina Brazil USA M e t r i c t o n s 8 7 ( ) 6 5 Ten year yield growth: 16% USA; 7% Argentina, 9% Brazil 4 8/9 9/1 1/11 11/12 12/13 13/14 14/15 15/16 16/17 17/18 18/19 Crop Year

6 USDA Baseline Projections: Corn Production 4 Brazil China EU-27 USA 35 M e t r i c 3 25 Ten year yield growth assumptions: Brazil 3%; China 11%; EU-27 1%; USA 14.6% t o n s ( ) /9 9/1 1/11 11/12 12/13 13/14 14/15 15/16 16/17 17/18 18/19 Crop Year

7 Impacts, Dietary change toward meat, feed grains Production increases Pork & poultry (much of it in consuming countries) Soybean acreage in South America Separately, expansions in horticultural production & trade

8 Baseline Assumptions, High real GDP growth in China and India Real increases in crude oil prices $1/bb, no change in bio-fuels policies Corn at $3.65, wheat at $4.75, soy at $9.2 Long-term dollar depreciation

9 Productivity Sensitivities The projections assume trend US yield But flattening Brazilian yield growth Brazil has invested in R&D What happens with continuing in yields? More broadly, outcomes are quite sensitive to productivity growth (yields, feed conversion, post-harvest retention, etc).

10 Demand Sensitivities China is running an enormous current account surplus (as are other Asian countries) Implies forced savings and reduced consumption We assume little change in this basic posture Which also implies CA deficits in US What happens if this changes?

11 Farm Structure A skewed distribution wherever we look Requires care with statistics Shifts of production to larger farms Adl And, larger farms contract tmore U.S.: more very small farms Hollowing the middle Brazil: More midsize farms too

12 US Farm Structure, Market Value of Sales Farms (millions of 27 $) Total 2,24,976 2,24, , ,22 Sales Class -Distribution of farms and sales, by sales class- Less than $1, $1,-$249, $25,-$999, $1,, or more All Source: USDA National Agricultural Statistics Service, Census of Agriculture

13 Brazilian Farm Structure, Market Value of Sales Farms (millions of 26 R$) Ttl Total 4,624, ,9,876 44,544 55,982 Sales Class -Distribution of farms and sales, by sales class (%)- Less than $R1, $R1,-249, $R25,-999, $R1,, or more All Source: IBGE, Agricultural Census

14 The U.S. Production Shift is Ubiquitous Persistent over time Across most commodities And large

15 U.S. Structural Change: Livestock The midpoint farm size: half of production is on larger farms Livestock Herd size Dairy 8 57 Head Removed Broilers 3, 681,6 Hogs 12 3, Fattened Cattle 17,532 35, Cattle, <5 lbs Source: Census of Agriculture

16 U.S. Structural Change: Field Crops The midpoint farm size: half of harvested acres are on larger farms Source: Census of Agriculture Field crops Harvested acres- Corn 2 6 Soybeans Wheat Cotton Rice 295 7

17 U.S. Structural Change; Vegetables The midpoint farm size: half of harvested acres are on larger farms Vegetables Harvested acres- Asparagus Lettuce Peppers, Bell 88 3 Potatoes Sweet Corn 1 25 Tomatoes 4 82 Source: Census of Agriculture

18 U.S. Structural Change: Fruits The midpoint farm size: half of harvested acres are on larger farms Fruits Harvested Acres- Apples Almonds Oranges Peaches Source: Census of Agriculture

19 Finances Are a Driving Force Mean Rates of Return on Equity, by Farm Size, < , >999 Source: NASS and ERS, Agricultural Resource Management Survey, selected years. Gross cash farm income ($)

20 Drivers of Structural Change Scale economies? Evidence strong for livestock, not for crops Technology and farm scope? Seeds, equipment Expands reach of an operator? Do commodity payments play a role?

21 Large Size--Large Capital Requirements? $5m for 11 acres of corn & soybeans Land, equipment, structures $7m for 1 milk cows & cropping Livestock, land, structures, equipment $.5m for small-scale broiler/hog entry Two houses, production contract t These are farm business assets, and exclude assets accessed through contract or custom hire

22 Farm Size and Farm Organization Farms are still closely held operations And that makes sense But size matters Scale economies and technology And that means growing capital requirements Is there a conflict?

23 Land rental Farms Find Many Ways to Assemble Capital Land, equipment, structures Equipment/service sharing & rental Production and marketing contracts Shared ownership of assets Equity participation

24 New Challenges for Farm Surveys Complex 3-way contracts Asset owner, farm operator, integrator Complex farm business structures Linking land, physical capital, services Multi-unit farm businesses Complex land contracts t Leases vs. rents; cash & share

25 Prices, Risks, and Debt Current sector situation isn t alarming But for hogs and dairy, and that matters Major structural changes Innovative business relationships Lots of debt

26 Monthly U.S. Milk-Feed Price Ratios,

27 Challenges Financial failures Hogs: NC integrators Dairy: Vreba-Hoff financing problems Poultry: slowing growth, aging capital stock Price risks unlikely l to go away But scale advantages are real Absent major changes in relative input prices Do we need new instruments for managing and allocating risks?

28 Conclusions Geography: What odds do we put on Asian growth and dietary shift? Productivity growth projections? $1/bb real oil prices? $5? $2? Structure Production to larger farms, still closely held Risks and financing challenges Follow from the above

29 For More Information Data on US farms ERS data tool at ERS briefing rooms at James MacDonald ;