Policy Impact Analysis - 117/HR/7639

Bill Overview

Title: Cattle Price Discovery and Transparency Act of 2022

Description: This bill requires the Department of Agriculture (USDA) to take various actions to address transparency in contract terms and pricing in the cattle industry. Among these requirements, USDA must maintain a publicly available library or catalog of contracts entered into between meat packers and livestock producers for the purchase of cattle, including any schedules of premiums or discounts associated with the contracts and other specific details. USDA must make this information available to producers and other interested parties in a monthly report. The bill further requires USDA to establish five to seven regions encompassing the entire continental United States that reasonably reflect similar fed cattle purchase practices for processing plants and establish mandatory minimums for each region (i.e., the minimum percentage of cattle purchases that are required to be made through approved pricing mechanisms from producers that are not packers). Under the bill, approved pricing mechanisms are generally purchases of fed cattle made through a negotiated purchase, through a negotiated grid purchase, at a stockyard, or through trading systems or platforms where multiple buyers and sellers can regularly make and accept bids and offers. The bill also establishes a maximum penalty for mandatory minimum violations by covered packers. Under the bill, a covered packer is a packer that has slaughtered an average of 5% or more of the number of fed cattle slaughtered nationally during the immediately preceding five calendar years.

Sponsors: Rep. Axne, Cynthia [D-IA-3]

Target Audience

Population: People involved in and affected by the cattle industry (globally)

Estimated Size: 1000000

Reasoning

Simulated Interviews

Cattle Rancher (Texas)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • I think this policy is a necessary step. We, as producers, have long suffered due to non-transparent pricing.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 5
Year 20 8 5

Feedlot Manager (Nebraska)

Age: 39 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • Having more transparent pricing will help us forecast needs and pricing more accurately, which is vital for our operation.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 7 5
Year 5 7 5
Year 10 7 5
Year 20 6 5

Meat Packer Executive (Kansas)

Age: 52 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • The increased regulatory burden concerns me. It may increase operational costs and affect our competitiveness.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 7
Year 2 5 7
Year 3 5 7
Year 5 6 7
Year 10 6 7
Year 20 6 7

Beef Cattle Trader (California)

Age: 30 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • I think the policy could open new opportunities in the market and level the playing field for traders like myself.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 8 6
Year 20 7 6

Veterinarian (Florida)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • I believe more transparency in the industry could indirectly benefit cattle health, as healthier cattle generally correlate with better managed operations.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 9 8
Year 10 9 8
Year 20 8 8

Agricultural Economist (Iowa)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 7/20

Statement of Opinion:

  • Increased transparency in cattle markets is likely to benefit economic research and help develop more equitable market models.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 8 7
Year 10 8 7
Year 20 8 7

Freight Company Owner (Colorado)

Age: 40 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • While cattle market transparency is good, higher regulation costs could indirectly affect our business through trickle-down effects.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 6 6
Year 5 6 6
Year 10 6 6
Year 20 6 6

Beef Distributor (Illinois)

Age: 55 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • Transparency can be a double-edged sword; while it might stabilize purchasing, it can also lead to increased costs due to compliance.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 7 6
Year 5 7 6
Year 10 7 6
Year 20 7 6

Stockyard Manager (Oklahoma)

Age: 36 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 9/20

Statement of Opinion:

  • I'm optimistic. More negotiated trades could mean more business for stockyards, making us a pivotal part of the new mechanisms.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 7 5
Year 5 7 5
Year 10 7 5
Year 20 6 5

Cattle Equipment Manufacturer (Montana)

Age: 50 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • A healthy cattle industry means more demand for equipment, but new costs for packers may squeeze margins that could affect us.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 6 5
Year 5 6 5
Year 10 6 5
Year 20 6 5

Cost Estimates

Year 1: $45000000 (Low: $35000000, High: $55000000)

Year 2: $30000000 (Low: $25000000, High: $40000000)

Year 3: $30000000 (Low: $25000000, High: $40000000)

Year 5: $25000000 (Low: $20000000, High: $35000000)

Year 10: $25000000 (Low: $20000000, High: $35000000)

Year 100: $5000000 (Low: $4000000, High: $6000000)

Key Considerations