New data reveals the USDA Market Facilitation Program created deep inequities between regions and crops, benefitted the largest operations over small farms
WASHINGTON – Today, U.S. Senators Debbie Stabenow (D-Mich.), Ranking Member of the U.S. Senate Committee on Agriculture, Nutrition, and Forestry, and Sherrod Brown (D-Ohio), Ranking Member of the Subcommittee on Commodities, Risk Management, and Trade, announced a new report from the nonpartisan U.S. Government Accountability Office (GAO), which found the Trump Administration’s payments to farmers harmed by the President’s trade turmoil ultimately created deep regional inequities, favored certain crops over others, and funneled money to large agricultural operations over smaller farms
The report is the result of an independent GAO investigation requested by Senator Stabenow in February after she raised concerns about unfairness and mismanagement of the U.S. Department of Agriculture (USDA) Market Facilitation Program. Stabenow and Brown joined farmers to announce the report and discuss the findings.
“From the start, I’ve been concerned that the Trump Administration’s trade payments have picked winners and losers and left small farms behind,” said Senator Stabenow. “Unfortunately, the Trump Administration’s unequal treatment of farmers is a pattern that we’re continuing to see in USDA’s COVID-19 relief program. The Administration needs to stop playing favorites and start helping the farms hit the hardest.”
“The Trump administration continues to turn its back on Ohio farmers by putting wealthy investors and Wall Street speculators ahead of family farms. Ohio farmers needed the relief this year – particularly after the Trump administration’s empty promises on trade policy with China, its continued efforts to undercut the Renewable Fuel Standard, and the hit Coronavirus has taken on the economy,” said Senator Brown. “By mismanaging these payments to farmers, the Trump administration has continued to play favorites and betray the small farmers who need help the most.”
“Michigan produces the best cherries in the world, but our growers are at risk due to unfair trade practices. Despite the tremendous challenges we’ve faced, cherry growers haven’t received any direct trade payments from the USDA. It’s just down right not fair,” said Don Gregory, a Leelanau County, Michigan cherry grower who also produces apples and other fruit.
“President Trump’s trade policies severely damaged the farm economy, and there’s no way to know when the markets for our commodities will return. To make matters worse, the program that was supposed to help farmers through those tough times was deeply flawed, as this GAO report so clearly demonstrates. The Market Facilitation Program spread payments unequally across geographic regions, favored some crops over others without economic justification, and funneled windfall payments to some of the largest farms in the country. When shaping future farm policy, lawmakers and administration officials must learn from USDA’s mistakes and ensure that support is allocated fairly and equitably based on financial need” said Gary Wertish, President of the Minnesota Farmers Union.
The GAO report found:
The full report is available here. A summary is available here.
The data in the GAO report confirms previous findings that the Trump Administration picked winners and losers between regions, crops, and farms in their attempt to assist farmers harmed by President Trump’s turbulent trade agenda. In November, Senate Democrats released a comprehensive report detailing concerns that the Administration has distributed trade payments unevenly across the country, benefiting regions and farms that have experienced less trade damage. The Trump Administration has ignored suggested improvements, and a subsequent analysis showed continued bias in the trade assistance program. Kansas State University researchers further validated these findings in an economic analysis of the distribution of trade assistance, finding that cotton payments were 33 times more than the estimated trade damage.