Policy Impact Analysis - 117/HR/7849

Bill Overview

Title: CLAW Act of 2022

Description: This bill allows an eligible lobstering business a new tax credit for 30% of the cost of any adaptive gear required to prevent the entanglement of right whales.

Sponsors: Rep. Moulton, Seth [D-MA-6]

Target Audience

Population: Commercial lobstering businesses and associated workers

Estimated Size: 8000

Reasoning

Simulated Interviews

Lobsterman (Maine)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • The tax credit will help alleviate the financial burden of purchasing new gear.
  • Concerned about the initial costs despite the credit.
  • Believes it will help protect the whale population, which is positive.

Wellbeing Over Time (With vs Without Policy)

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

Marine conservationist (Massachusetts)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • The policy positively supports conservation efforts without being punitive.
  • Happy to see commercial interests aligned with conservation goals.
  • Worries about proper implementation and monitoring.

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 7
Year 20 10 7

Retired lobsterman (New Hampshire)

Age: 60 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • This bill will increase demand for new gear, which benefits my business.
  • I'm hopeful that this policy will lead to safer practices across the board.

Wellbeing Over Time (With vs Without Policy)

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

Lobster fisherman (Georgia)

Age: 36 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • The policy is crucial for my work as it combines conservation with business.
  • The tax credit makes adopting new gear feasible within our budget constraints.

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 5 4

Lobster supply chain manager (Maine)

Age: 52 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • The logistical changes for new equipment can be challenging.
  • However, it is rewarding to support a sustainable supply chain.

Wellbeing Over Time (With vs Without Policy)

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

Entrepreneur (Rhode Island)

Age: 34 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy will increase demand for my products, which is great for business.
  • It is a step forward in aligning business incentives with environmental goals.

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 9 5
Year 10 9 5
Year 20 9 5

Marine ecologist (Florida)

Age: 41 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • Supportive of efforts to reduce whale entanglement but concerned about enforcement.
  • Believes policies like these are essential but must be part of broader strategies.

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 7
Year 10 8 6
Year 20 9 6

Lobster wholesaler (Maine)

Age: 48 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Supporting smaller lobstermen with equipment changes ensures continuity of the supply.
  • It adds a layer of complexity to operations but is manageable.

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 5
Year 10 8 5
Year 20 8 5

Equipment manufacturer (Massachusetts)

Age: 63 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 6/20

Statement of Opinion:

  • The policy presents a challenge to quickly adapt products.
  • It is an opportunity to innovate and lead in sustainable practices.

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 8 5
Year 10 8 5
Year 20 8 4

Policy analyst (New York)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • The policy is an interesting case study for balancing economic and ecological concerns.
  • Eager to see detailed outcomes and gathered data.

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 8 6
Year 20 8 6

Cost Estimates

Year 1: $24000000 (Low: $20000000, High: $28000000)

Year 2: $24000000 (Low: $20000000, High: $28000000)

Year 3: $24000000 (Low: $20000000, High: $28000000)

Year 5: $24000000 (Low: $20000000, High: $28000000)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations