Policy Impact Analysis - 117/HR/8024

Bill Overview

Title: Stop CCP Infrastructure Act of 2022

Description: This bill prohibits certain entities related to China or the Chinese government from receiving federal funds for public works projects in the United States. Specifically, this prohibition applies to entities that are (1) headquartered in China; or (2) owned, financed, influenced by, or affiliated with the Chinese government, the Chinese Communist Party (CCP), or the Chinese military. Further, state and local governments must verify that a recipient for federal funds for a public works project is free from any obligations, influences, or connections to any of these entities.

Sponsors: Rep. Tenney, Claudia [R-NY-22]

Target Audience

Population: People associated with affected Chinese entities in public infrastructure construction

Estimated Size: 1000000

Reasoning

Simulated Interviews

Construction Project Manager (Los Angeles, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • This policy could complicate our project timelines.
  • I may need to find new partners, which can be stressful.

Wellbeing Over Time (With vs Without Policy)

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

Engineer (Houston, TX)

Age: 33 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 7.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm worried about job security.
  • This could reduce opportunities for my company here.

Wellbeing Over Time (With vs Without Policy)

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

Local Government Official (New York, NY)

Age: 54 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 14/20

Statement of Opinion:

  • This adds a layer of bureaucracy.
  • It might prevent some projects from starting due to delays.

Wellbeing Over Time (With vs Without Policy)

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

Graduate Student in Civil Engineering (Seattle, WA)

Age: 26 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 18/20

Statement of Opinion:

  • This policy could limit my career options.
  • I worry about fewer opportunities for innovation due to less diverse partnerships.

Wellbeing Over Time (With vs Without Policy)

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

Construction Worker (Miami, FL)

Age: 39 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • This might secure more local jobs.
  • The transition could be rough and impact my wages short-term.

Wellbeing Over Time (With vs Without Policy)

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

Retired Construction Executive (Chicago, IL)

Age: 58 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • Such policies can protect local industries.
  • Concerns about retaliatory measures affecting overseas markets.

Wellbeing Over Time (With vs Without Policy)

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

Logistics Coordinator (Atlanta, GA)

Age: 31 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 4.0 years

Commonness: 8/20

Statement of Opinion:

  • There might be supply chain disruptions.
  • I expect logistical challenges in the short-term.

Wellbeing Over Time (With vs Without Policy)

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

Urban Planner (Denver, CO)

Age: 42 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 11/20

Statement of Opinion:

  • This might spur innovation with domestic firms.
  • There's potential for initial planning challenges.

Wellbeing Over Time (With vs Without Policy)

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

Tech Specialist in Construction Firm (San Francisco, CA)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 6.0 years

Commonness: 13/20

Statement of Opinion:

  • Concerned about access to cutting-edge technology from China.
  • This could limit the scope of projects.

Wellbeing Over Time (With vs Without Policy)

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

Construction Firm Owner (Portland, OR)

Age: 47 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy could disrupt my business model.
  • Potential for greater autonomy and expansion domestically.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $30000000, High: $70000000)

Year 2: $52000000 (Low: $31000000, High: $72000000)

Year 3: $54000000 (Low: $32000000, High: $74000000)

Year 5: $58000000 (Low: $34000000, High: $78000000)

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

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

Key Considerations