Policy Impact Analysis - 117/HR/9357

Bill Overview

Title: To amend the Endangered Species Act of 1973 to require congressional approval of certain actions, and for other purposes.

Description: This bill requires congressional approval to list, remove from a list, or change the status of any endangered species or threatened species.

Sponsors: Rep. Mann, Tracey [R-KS-1]

Target Audience

Population: People affected by changes to the Endangered Species Act

Estimated Size: 500000

Reasoning

Simulated Interviews

Environmental Scientist (Portland, Oregon)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy could hinder timely decisions on species needing protection.
  • Increased congressional oversight may slow down critical conservation actions.

Wellbeing Over Time (With vs Without Policy)

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

Ranch Owner (Austin, Texas)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Less regulation could mean more flexibility in land use.
  • Concerned about loss of ecosystem services if species are delisted.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Policy Advocate (New York, New York)

Age: 32 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • The policy complicates advocacy efforts for species protection.
  • May increase challenges in passing protective measures.

Wellbeing Over Time (With vs Without Policy)

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

Wildlife Biologist (Denver, Colorado)

Age: 50 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • Concerned that the policy will delay crucial habitat restoration efforts.
  • Believes scientific data should drive species protection decisions, not just congressional approvals.

Wellbeing Over Time (With vs Without Policy)

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

Marine Biologist (Miami, Florida)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • The policy introduces more uncertainty into marine conservation status changes.
  • Could lead to slower responses in protecting marine ecosystems.

Wellbeing Over Time (With vs Without Policy)

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

Urban Planner (Los Angeles, California)

Age: 41 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • The policy likely won't directly affect my work.
  • Indirect effects on green planning but negligible at personal level.

Wellbeing Over Time (With vs Without Policy)

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

Fisheries Manager (Anchorage, Alaska)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Concerns about potential loss in fish species protections.
  • Policy oversight might affect sustainable fishing practices.

Wellbeing Over Time (With vs Without Policy)

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

Congressional Staffer (Washington, D.C.)

Age: 25 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Increased workload with bills related to species listings.
  • Potential political leverage in negotiations around environmental topics.

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 5 6
Year 20 5 5

Local Government Official (Bismarck, North Dakota)

Age: 53 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • The policy could complicate local initiatives to protect species.
  • Might lead to conflicts with federal regulations and interests.

Wellbeing Over Time (With vs Without Policy)

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

Real Estate Developer (Phoenix, Arizona)

Age: 39 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Policy might ease restrictions slightly for land development.
  • Awaiting specific impacts but generally favorable.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

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

Year 2: $21000000 (Low: $16000000, High: $32000000)

Year 3: $22000000 (Low: $17000000, High: $34000000)

Year 5: $24000000 (Low: $18000000, High: $38000000)

Year 10: $27000000 (Low: $20000000, High: $43000000)

Year 100: $40000000 (Low: $30000000, High: $60000000)

Key Considerations