Policy Impact Analysis - 117/HR/4690

Bill Overview

Title: Sustaining America’s Fisheries for the Future Act of 2022

Description: Sustaining America's Fisheries for the Future Act of 202 This bill sets forth and revises various provisions relating to fisheries conservation and management, including to increase the adaptive capacity of fishery management to the impacts of climate change, implement working waterfront plans, establish an innovation prize for data collection technology used in fisheries management, and establish a national standardized reporting program for bycatch.

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

Target Audience

Population: Individuals involved or employed in the global fishing industry and related activities

Estimated Size: 1500000

Reasoning

Simulated Interviews

Commercial Fisherman (Kodiak, Alaska)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • The policy might help in adapting to changes in fish populations due to climate change.
  • The idea of better data collection is good if it helps us fish more sustainably.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 5
Year 3 8 5
Year 5 7 4
Year 10 6 3
Year 20 6 2

Marine Biologist (Boston, Massachusetts)

Age: 30 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 15/20

Statement of Opinion:

  • This policy is a step in the right direction for sustainable fisheries management.
  • I'm excited about the national standardized reporting program for bycatch.

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 8 6
Year 20 8 6

Fish Processor (New Orleans, Louisiana)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • I'm concerned about future job security if fish supplies are impacted by policies.
  • Standardization could make my job easier if it leads to better management.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 6 5
Year 3 6 4
Year 5 5 4
Year 10 5 3
Year 20 5 3

Conservation Advocate (Seattle, Washington)

Age: 38 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 13/20

Statement of Opinion:

  • Better management plans can definitely help with conservation efforts.
  • The innovation prize seems like a good incentive for technological solutions.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 9 7
Year 3 8 6
Year 5 8 6
Year 10 9 5
Year 20 9 5

Data Scientist (Miami, Florida)

Age: 24 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • The focus on data collection presents exciting opportunities for tech development.
  • I hope to be involved in projects related to the innovation prize.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 6
Year 5 9 6
Year 10 8 6
Year 20 7 5

Policy Maker (Anchorage, Alaska)

Age: 60 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Enhanced reporting will help create more effective policies.
  • The act gives us a better framework to deal with climate impacts.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 9 6
Year 3 9 6
Year 5 9 5
Year 10 10 4
Year 20 9 4

Seafood Restaurant Manager (Los Angeles, California)

Age: 27 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 16/20

Statement of Opinion:

  • The policy could stabilize fish supplies, which is good for business.
  • Concerns remain about how quickly implementation happens.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 5
Year 3 7 5
Year 5 6 5
Year 10 6 4
Year 20 6 4

Climate Scientist (Durham, North Carolina)

Age: 49 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 11/20

Statement of Opinion:

  • The adaptation efforts align with scientific recommendations.
  • I anticipate better collaboration opportunities with fisheries data improvements.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 8
Year 2 9 8
Year 3 9 7
Year 5 8 7
Year 10 8 6
Year 20 8 6

Fish Retailer (Portland, Maine)

Age: 33 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 13/20

Statement of Opinion:

  • Better management may help secure local fish supplies.
  • The transition period worries me, as changes can disrupt business.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 4
Year 3 6 4
Year 5 5 3
Year 10 5 3
Year 20 5 3

Fisheries Technologist (San Diego, California)

Age: 40 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 12/20

Statement of Opinion:

  • The innovation prize is a great motivator for improving data collection technology.
  • I look forward to contributing new technology solutions.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 9 7
Year 3 9 7
Year 5 9 6
Year 10 9 6
Year 20 8 6

Cost Estimates

Year 1: $20000000 (Low: $15000000, High: $30000000)

Year 2: $22000000 (Low: $17000000, High: $32000000)

Year 3: $23000000 (Low: $18000000, High: $34000000)

Year 5: $25000000 (Low: $20000000, High: $36000000)

Year 10: $27000000 (Low: $22000000, High: $39000000)

Year 100: $30000000 (Low: $25000000, High: $45000000)

Key Considerations