Policy Impact Analysis - 117/S/4939

Bill Overview

Title: Ending Duplicative Subsidies for Electric Vehicles Act

Description: This bill prohibits duplicative subsidies (i.e., loans, grants, or tax credits) for manufacturers of new clean electric vehicles.

Sponsors: Sen. Thune, John [R-SD]

Target Audience

Population: People involved in the production and distribution of new clean electric vehicles

Estimated Size: 5000000

Reasoning

Simulated Interviews

Automobile Manufacturing Worker (Michigan)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I worry that the company might cut jobs or reduce hours if subsidies get cut.
  • We've faced downturns in the auto industry before, and it's never easy.
  • If the cost of production gets higher, our job security might be at risk.

Wellbeing Over Time (With vs Without Policy)

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

Electric Vehicle Salesperson (California)

Age: 32 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • If EV prices go up, it might be harder to sell them as fast.
  • Most of my income depends on hitting sales targets.
  • This could slow down our sales and affect commissions.

Wellbeing Over Time (With vs Without Policy)

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

Software Engineer (New York)

Age: 28 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 8/20

Statement of Opinion:

  • I am not directly affected by the subsidies, but the company might cut projects.
  • R&D budgets could be strained, which affects product innovation.
  • I am optimistic, but there is a bit of concern about future projects.

Wellbeing Over Time (With vs Without Policy)

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

Auto Supply Chain Manager (Texas)

Age: 54 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 7/20

Statement of Opinion:

  • Changes in subsidies may ripple back to us through procurement cycles.
  • It could complicate contract negotiations, given the cost uncertainties.
  • There's a historical precedent of needing to adapt quickly.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Policy Advocate (Florida)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy is a double-edged sword for sustainability.
  • It may slow down EV adoption if car prices increase.
  • On the other hand, it ensures more significant financial accountability among manufacturers.

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 8 8
Year 10 8 8
Year 20 9 9

Electric Vehicle Owner (Illinois)

Age: 29 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 1.0 years

Commonness: 12/20

Statement of Opinion:

  • I got my EV mainly because of the lower running costs and environmental benefits.
  • If prices go up, it might change how often people can afford them.
  • We need more support for these technologies rather than less.

Wellbeing Over Time (With vs Without Policy)

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

EV Industry Analyst (Ohio)

Age: 38 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • The reduced subsidies can lead to substantial changes in manufacturing strategies.
  • Companies might pivot to cost-cutting measures affecting their workforce.
  • This policy could slow the pace of innovation in the electric vehicle sector.

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 8 9
Year 10 9 9
Year 20 9 9

Government Policy Maker (Washington)

Age: 47 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 2/20

Statement of Opinion:

  • The policy aims to streamline and make subsidies cost-effective.
  • It is crucial to balance financial sustainability with environmental goals.
  • The longer-term impact could be positive if manufacturers adapt efficiently.

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 8
Year 10 8 8
Year 20 8 9

Automotive Industry Retiree (Nevada)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 7/20

Statement of Opinion:

  • I'm detached from the direct impacts but have seen similar shifts affect the industry historically.
  • The automotive sector is resilient, but workforce changes are inevitable.
  • This could slow down the trend towards electrification if not managed well.

Wellbeing Over Time (With vs Without Policy)

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

Graduate Student (North Carolina)

Age: 25 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • Policy like this can spark debate on the best ways to fund new technologies.
  • It is a learning opportunity to study policy impacts on technology adoption.
  • I'm curious about how companies and consumers will adapt.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $1000000000 (Low: $800000000, High: $1200000000)

Year 2: $900000000 (Low: $700000000, High: $1100000000)

Year 3: $800000000 (Low: $600000000, High: $1000000000)

Year 5: $700000000 (Low: $500000000, High: $900000000)

Year 10: $500000000 (Low: $300000000, High: $700000000)

Year 100: $100000000 (Low: $50000000, High: $200000000)

Key Considerations