Policy Impact Analysis - 117/HR/3075

Bill Overview

Title: Illegal Fishing and Forced Labor Prevention Act

Description: This bill sets forth and revises federal law concerning activities to combat human trafficking and illegal, unreported, or unregulated fishing in the seafood industry. The National Oceanic and Atmospheric Administration (NOAA) shall expand the Seafood Import Monitoring Program to apply to all seafood and seafood products imported into the United States. The Departments of Commerce, Homeland Security, Labor, and Health and Human Services must jointly execute a memorandum of understanding to codify and improve interagency cooperation on seafood safety, preventing illegal, unreported, or unregulated fishing and human trafficking, including forced labor, and seafood fraud prevention, enforcement, and inspections. NOAA shall engage with each flag, coastal, port, and market nation that exports seafood to the United States to collect information sufficient to evaluate the effectiveness of such nation's management of fisheries and control systems to prevent illegal, unreported, or unregulated fishing.

Sponsors: Rep. Huffman, Jared [D-CA-2]

Target Audience

Population: People working in the seafood industry globally, particularly in regions prone to illegal fishing and forced labor

Estimated Size: 1000000

Reasoning

Simulated Interviews

Seafood Importer (Seattle, WA)

Age: 35 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm worried about the increased regulatory burden and how it will affect my operations.
  • I support fair labor practices, but the implementation needs to be pragmatic.

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 5
Year 20 8 5

Fishery Worker (Miami, FL)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • Better regulation might improve working conditions, which is important to me.
  • There might be short-term disruptions, but the long-term benefits are necessary.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 5
Year 2 7 5
Year 3 8 5
Year 5 8 4
Year 10 9 4
Year 20 9 3

Chef at a Seafood Restaurant (Los Angeles, CA)

Age: 28 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Ethically sourced seafood is crucial, but I hope it doesn’t hike up prices.
  • Our clientele values sustainability, so this could actually be beneficial for us.

Wellbeing Over Time (With vs Without Policy)

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

NOAA Inspector (New Bedford, MA)

Age: 50 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 15.0 years

Commonness: 2/20

Statement of Opinion:

  • This is a much-needed policy to strengthen monitoring and compliance.
  • Our job will get busier, but it’s for a worthy cause.

Wellbeing Over Time (With vs Without Policy)

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

Consumer Rights Advocate (Houston, TX)

Age: 55 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy is a step in the right direction for consumer rights and ethical sourcing.
  • I hope it leads to more informed consumers and better industry practices.

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 9 6
Year 20 9 6

Environmental Policy Analyst (San Diego, CA)

Age: 37 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 4/20

Statement of Opinion:

  • This bill could enhance international cooperation and regulatory scrutiny.
  • It’s a positive move, but requires robust implementation strategies.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 9 7
Year 5 9 7
Year 10 9 7
Year 20 9 7

Marine Biologist (Boston, MA)

Age: 30 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 20.0 years

Commonness: 2/20

Statement of Opinion:

  • I’m hopeful this will lead to healthier marine ecosystems and fisheries.
  • Science-based regulations are crucial for sustainability.

Wellbeing Over Time (With vs Without Policy)

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

Seafood Retailer (Chicago, IL)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I’m concerned about how changes will affect our supply chains and stock levels.
  • Transparency in sourcing could be beneficial to our brand.

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 8 6

Seafood Exporting Consultant (New York, NY)

Age: 60 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • This could complicate my clients’ operations if not managed well.
  • Enhanced compliance might lead to fairer practices over time.

Wellbeing Over Time (With vs Without Policy)

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

University Student (Portland, OR)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Policies like this inspire the next generation to push for ethical environmental management.
  • There are concerns about practical implementation but overall optimistic.

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 9 8

Cost Estimates

Year 1: $45000000 (Low: $35000000, High: $60000000)

Year 2: $43000000 (Low: $33000000, High: $57000000)

Year 3: $42000000 (Low: $32000000, High: $56000000)

Year 5: $41000000 (Low: $31000000, High: $55000000)

Year 10: $40000000 (Low: $30000000, High: $54000000)

Year 100: $30000000 (Low: $20000000, High: $40000000)

Key Considerations