Policy Impact Analysis - 117/HR/6360

Bill Overview

Title: COVID–19 Supply Chain Relief Act

Description: This bill establishes in the Executive Office of the President an Office of Supply Chain Policy, headed by a Supply Chain Czar appointed by the President. Such office shall coordinate a national response to supply chain disruptions, shortages, and increased prices; serve as a resource for states as they deploy unused COVID-19 relief funds to address supply chain bottlenecks; and appoint, oversee, and coordinate among regional supply chain leaders. Unobligated COVID-19 relief funds may be made available to states, territories, or tribal governments to help address supply chain disruptions and labor shortages by undertaking one or more of the following: promoting employment in the trucking and logistics industries, implementing apprenticeship programs to recruit more women and military veterans to become licensed commercial motor vehicle drivers, undertaking port and shipping infrastructure projects, and providing relief from other detrimental economic impacts of supply chain disruptions. The Department of Commerce must issue guidance, as needed, to define the scope of the allowable activities listed above. Further, Commerce shall publish and submit to Congress a report on (1) supply chain points of congestion or blockages; (2) underlying causes of supply chain disruptions, shortages, and delays; and (3) other supply chain shortcomings which could be remedied with public or private investment.

Sponsors: Rep. Gottheimer, Josh [D-NJ-5]

Target Audience

Population: People reliant on global supply chains

Estimated Size: 330000000

Reasoning

Simulated Interviews

Logistics Coordinator (Houston, TX)

Age: 34 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • The policy sounds like it'll help make my job easier by reducing bottlenecks.
  • Getting unused funds to improve logistics and ports is crucial right now.

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 5

Truck Driver (Los Angeles, CA)

Age: 28 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • I'm hopeful the government will support more drivers and jobs.
  • Apprenticeship programs would be a big help to people like me.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Columbus, OH)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 15/20

Statement of Opinion:

  • Stabilizing supply chains would definitely help with stock issues.
  • Not sure how much this will directly affect my store but any bit helps.

Wellbeing Over Time (With vs Without Policy)

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

Port Operations Manager (New York, NY)

Age: 53 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • Any upgrades to port infrastructure will be beneficial.
  • There's a pressing need for better coordination among regions.

Wellbeing Over Time (With vs Without Policy)

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

IT Specialist (San Francisco, CA)

Age: 39 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 3/20

Statement of Opinion:

  • I probably won't see much change personally.
  • It's good to know there's a systematic approach though.

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 7
Year 20 6 6

Veteran (Seattle, WA)

Age: 30 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 7.0 years

Commonness: 7/20

Statement of Opinion:

  • The transition programs could offer me a good career.
  • I hope there's enough funding for training veterans.

Wellbeing Over Time (With vs Without Policy)

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

Freight Broker (Chicago, IL)

Age: 62 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 5/20

Statement of Opinion:

  • About time they look into these blockages, it affects my business.
  • My clients will benefit from a smoother system.

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 5
Year 10 6 4
Year 20 5 4

Marketing Manager (Dallas, TX)

Age: 47 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 10/20

Statement of Opinion:

  • Improving supply chains could stabilize our product flow.
  • I see this as indirectly positive for my work, but not life-changing.

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 6 5
Year 10 6 5
Year 20 5 4

Port Authority Employee (Miami, FL)

Age: 50 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Investment in ports is long overdue and this could make a big difference.
  • My main involvement now is guiding younger workers.

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 5
Year 10 6 5
Year 20 6 5

Teacher (Atlanta, GA)

Age: 36 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 4/20

Statement of Opinion:

  • It’s an interesting policy I can bring to classroom discussions.
  • Hard to say how it'll impact me directly, but education on the topic is crucial.

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 7
Year 20 7 7

Cost Estimates

Year 1: $80000000 (Low: $70000000, High: $90000000)

Year 2: $82000000 (Low: $72000000, High: $92000000)

Year 3: $84000000 (Low: $74000000, High: $94000000)

Year 5: $88000000 (Low: $78000000, High: $98000000)

Year 10: $95000000 (Low: $85000000, High: $105000000)

Year 100: $150000000 (Low: $130000000, High: $170000000)

Key Considerations