Policy Impact Analysis - 117/HR/7388

Bill Overview

Title: Offshore Wind American Manufacturing Act of 2022

Description: This bill establishes a new, refundable tax credit for investment in manufacturing facilities that produce offshore wind turbine components. The credit amount is equal to the sum of the offshore wind manufacturing investment credit (30% of the investment amount) and the offshore wind manufacturing production credit.

Sponsors: Rep. Pascrell, Bill, Jr. [D-NJ-9]

Target Audience

Population: Persons employed in the global offshore wind energy sector

Estimated Size: 150000

Reasoning

Simulated Interviews

Factory Supervisor (Houston, Texas)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • I think this policy could bring more work stability to our area.
  • If our plant shifts some production to wind components, I see more job security.

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 5
Year 10 7 5
Year 20 6 4

Logistics Coordinator (Los Angeles, California)

Age: 35 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • I hope this leads to more environmentally friendly production processes.
  • It might create more demand for shipments that I coordinate, which is good for my job stability.

Wellbeing Over Time (With vs Without Policy)

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

Wind Energy Engineer (Raleigh, North Carolina)

Age: 29 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy seems like it could really boost the industry.
  • I'm optimistic about the opportunities this could create for engineers and technicians.

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 6
Year 10 8 5
Year 20 7 4

Community Organizer (Chicago, Illinois)

Age: 51 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 10/20

Statement of Opinion:

  • If this policy brings more job opportunities here, it could really help the community.
  • I'm hopeful about the potential benefits, but also cautious about any negative environmental impacts.

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 8 6
Year 10 7 5
Year 20 6 5

Unemployed (Scranton, Pennsylvania)

Age: 23 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 6/20

Statement of Opinion:

  • This could be my chance to get into the job market and work in a sector I'm passionate about.
  • The potential of finding a job through this policy gives me hope.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Cape Cod, Massachusetts)

Age: 62 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 18/20

Statement of Opinion:

  • I think supporting local manufacturing for renewable energy is essential for our future.
  • I'm curious but optimistic about the environmental impacts this could address.

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 7
Year 10 7 6
Year 20 6 5

Automotive Parts Supplier (Detroit, Michigan)

Age: 40 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • I'm interested in diversifying our operations, but it depends on how feasible the transition is.
  • This policy could offer a lifeline if demand for our components declines.

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 4
Year 10 6 3
Year 20 5 2

Manufacturing Manager (Cleveland, Ohio)

Age: 56 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 11/20

Statement of Opinion:

  • Our plant could benefit significantly from the tax credit, securing jobs.
  • I believe this will have a lasting positive impact on our operations.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Activist (Denver, Colorado)

Age: 31 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • This initiative aligns with my advocacy goals.
  • I hope it sets a precedent for further renewable energy policies.

Wellbeing Over Time (With vs Without Policy)

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

Economics Professor (New Orleans, Louisiana)

Age: 43 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 13/20

Statement of Opinion:

  • This policy is an example of integrating economic incentives with energy goals.
  • I'm interested in seeing how the manufacturing sector responds.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $500000000 (Low: $400000000, High: $600000000)

Year 2: $700000000 (Low: $560000000, High: $840000000)

Year 3: $800000000 (Low: $640000000, High: $960000000)

Year 5: $1000000000 (Low: $800000000, High: $1200000000)

Year 10: $200000000 (Low: $160000000, High: $240000000)

Year 100: $200000000 (Low: $160000000, High: $240000000)

Key Considerations