International Benchmarks for Soybean Production

Examining the competitiveness of soybean production in different regions of the world is often difficult due to lack of comparable data and agreement regarding what needs to be measured.  To be useful, international data needs to be expressed in common production units and converted to a common currency.  Also, production and cost measures need to be consistently defined across production regions or farms.

This paper examines the competitiveness of soybean production for important international soybean regions using 2015 to 2019 data from the agri benchmark network.  An earlier paper examined international benchmarks for the 2013 to 2017 period (farmdoc daily May 22, 2019).  The agri benchmark network collects data on beef, cash crops, dairy, pigs and poultry, horticulture, and organic products.  There are 23 countries with data for 2019 represented in the cash crop network.  The agri benchmark concept of typical farms was developed to understand and compare current farm production systems around the world.  Participant countries follow a standard procedure to create typical farms that are representative of national farm output shares, and categorized by production system or combination of enterprises and structural features.  Costs and revenues are converted to U.S. dollars so that comparisons can be readily made.  Data from six typical farms with soybean enterprise data from Argentina, Brazil, Russia, Ukraine, and United States were used in this paper.  It is important to note that soybean enterprise data is collected from other countries.  These five countries were selected to simplify the illustration and discussion.

The farm and country abbreviations used in this paper are listed in Table 1.  While the farms may produce a variety of crops, this paper only considers soybean production.  Typical farms used in the agri benchmark network are defined using country initials and hectares on the farm.  To fully understand the relative importance of the soybean enterprise on each typical farm, it is useful to note all of the crops produced.  The typical farm in Argentina produced corn, soybeans, sunflowers, winter barley, and winter wheat in 2019.  Soybeans were produced on approximately 38 percent of the typical farm’s acreage during the five-year period.  The typical farm in Brazil produced corn and soybeans in 2019.  Soybeans were the first crop planted on all of the typical farm’s acreage during the five-year period.  The farm in Russia produced alfalfa, chickpeas, corn, corn silage, fodder grass, soybeans, summer barley, sugar beets, sunflowers, winter rye, and winter wheat in 2019.  Soybeans were produced on approximately 20 percent of the typical farm’s acreage during the five-year period.  Crops produced on the farm in the Ukraine in 2019 included corn, soybeans, sunflowers, winter rapeseed, and winter wheat.  Soybeans were produced on approximately 16 percent of the typical farm’s acreage during the five-year period.  There are four U.S. farms with soybeans in the network.  The two farms used to illustrate soybean production in this paper are the Iowa typical farm (US700) and the west central Indiana typical farm (US1215).  Both of these farms utilize a corn/soybean rotation.

Soybean Yields

Although yield is only a partial gauge of performance, it reflects the available production technology across farms.  Average soybean yield for the farms in 2015 to 2019 was 3.17 metric tons per hectare (47.1 bushels per acre).  Average farm yields ranged from approximately 1.55 metric tons per hectare for the typical farm in Russia (23.1 bushels per acre) to 3.89 metric tons per hectare for the typical farm in Argentina (57.9 bushels per acre).  Figure 1 illustrates average soybean yield for each typical farm.  Both of the U.S. farms had average soybean yields above 3.75 metric tons per hectare (55.8 bushels per acre).

Input Cost Shares

Due to differences in technology adoption, input prices, fertility levels, efficiency of farm operators, trade policy restrictions, exchange rate effects, and labor and capital market constraints, input use varies across soybean farms.  Figure 2 presents the average input cost shares for each farm.  Cost shares were broken down into three major categories: direct costs, operating costs, and overhead costs.  Direct costs included seed, fertilizer, crop protection, crop insurance, and interest on these cost items.  Operating cost included labor, machinery depreciation and interest, fuel, and repairs.  Overhead cost included land, building depreciation and interest, property taxes, general insurance, and miscellaneous cost.

The average input cost shares were 34.3 percent for direct cost, 30.8 percent for operating cost, and 34.8 percent for overhead cost.  The typical farms in Brazil and the Ukraine had above average cost shares for direct cost.  Operating costs as a proportion of total costs were relatively higher in Russia and the Ukraine.  Overhead costs as a proportion of total costs were relatively higher in Argentina and the United States.  The relatively large cost share for overhead cost in the U.S. reflects our relatively high land cost.

Revenue and Cost

Figure 3 presents average gross revenue and cost for each typical farm.  Gross revenue and cost are reported as U.S. dollars per hectare.  It is obvious from figure 3 that gross revenue per hectare is substantially higher for the two U.S. farms.  However, cost is also substantially higher for these two farms.  All of the typical farms, with the exception of the farm in Iowa, exhibited economic profit during the five-year period.  The typical farm in Iowa essentially had zero economic profit.  The lowest economic profit during the five-year period for the typical farms was 2015 with an average economic profit of $26 per hectare.  The lowest economic profit for each typical farm was as follows:  2015 for the typical farms the Ukraine and the United States, 2016 for the typical farms in Argentina and Brazil, and 2019 for the typical farm in Russia.

All of the typical farms in Table 1 also produced corn during the five-year period.  For the typical farms in Brazil and the United States, average soybean profits were higher than average corn profits during the five-year period.  The largest difference in favor of soybeans occurred for the typical farm in Brazil (difference of $231 per hectare).  The second and third largest differences were exhibited by the typical farms in Indiana ($206 per hectare difference) and Iowa ($41 per hectare difference).  Average corn profits were $100 per hectare higher in Argentina, $43 per hectare higher in Russia, and $15 per hectare higher in the Ukraine.

Figure 4 presents average gross revenue and cost for soybeans on a per ton basis.  Gross revenue per ton was relatively higher for the Ukraine typical farm and the two typical U.S. farms.  However, the two U.S. typical farms also had relatively higher costs per ton.  Economic profit for the five-year period was positive for all of the typical farms except for the farm in Iowa.

Conclusions

This paper examined yield, gross revenue, and cost for farms in the agri benchmark network from Argentina, Brazil, Russia, the Ukraine, and the United States with soybean enterprise data.  Yield, gross revenue, and cost were substantially higher for the U.S. farms.  All of the typical farms, except for the farm in Iowa, exhibited a positive average economic profit during the 2015 to 2019 period.  The data for 2020 will be available early this fall.  It will be interesting to see how the strong crop prices that occurred in the later part of 2020 will impact comparative results.