Policy Impact Analysis - 117/HR/6290

Bill Overview

Title: Manufacturing.gov Act

Description: This bill requires the Department of Commerce to establish a section of the manufacturing.gov website to serve as the primary hub for information relating to federal manufacturing programs. In addition to serving as the primary hub for this information, the hub must also (1) provide the contact information for relevant program offices carrying out federal manufacturing programs; (2) provide an avenue for public input and feedback relating to these programs; and (3) host web pages that focus on topics such as trade, workforce development, and small and medium manufacturers.

Sponsors: Rep. Tonko, Paul [D-NY-20]

Target Audience

Population: People employed in or benefiting from the manufacturing sector worldwide

Estimated Size: 12000000

Reasoning

Simulated Interviews

Automotive Assembly Line Worker (Detroit, Michigan)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • The website could help workers like me understand what government programs are out there that might help us when business is slow.
  • I'm not sure if it'll directly affect my day-to-day work, but having more information is always a good thing.

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 7 6
Year 10 8 6
Year 20 7 6

Manufacturing Engineer (San Jose, California)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Improving access to federal programs can be a real boost, especially for continuous learning and improving skills.
  • This could lead to better job prospects and personal growth.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner in Textile Manufacturing (Louisville, Kentucky)

Age: 37 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Access to information on trade and workforce development could be transformative for small manufacturers like us.
  • I'd look forward to resources that could help us expand or streamline operations.

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 8 5
Year 20 8 5

Logistics Manager (Houston, Texas)

Age: 50 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 5/20

Statement of Opinion:

  • While the act is focused on manufacturing, improved information channels can affect logistics by highlighting new efficiency methods and innovations.
  • I don't expect a huge change but some incremental benefits.

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 8 8
Year 10 9 8
Year 20 9 8

Software Developer (Seattle, Washington)

Age: 25 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 1.0 years

Commonness: 3/20

Statement of Opinion:

  • Access to federal programs could encourage digital innovation in manufacturing, potentially increasing demand for tech solutions.
  • Not sure if it'll affect me directly, but could lead to industry growth.

Wellbeing Over Time (With vs Without Policy)

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

Machinery Manufacturer Representative (Raleigh, North Carolina)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 8/20

Statement of Opinion:

  • The act's focus on trade and workforce could streamline resources for clients and businesses like mine, enhancing clarity and confidence in the market.
  • I'm cautiously optimistic about improved sector conditions.

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 8 6
Year 10 8 6
Year 20 7 6

Economist Specializing in Trade (Boston, Massachusetts)

Age: 55 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Having a centralized hub would be immensely useful from a policy evaluation standpoint, potentially affecting broad economic outcomes.
  • The website could improve visibility and efficacy of federal programs.

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 7
Year 10 8 7
Year 20 8 7

Trade Policy Analyst (Chicago, Illinois)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • Making trade information more accessible could help align national priorities, potentially impacting job security and growth in manufacturing.
  • This kind of transparency can only help in the long run.

Wellbeing Over Time (With vs Without Policy)

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

Retired Steelworker (Pittsburgh, Pennsylvania)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Centralized information could make it easier for young workers to navigate career opportunities in manufacturing, indirectly benefiting retirees like me through community vitality.
  • I see it as a positive development for the future generation.

Wellbeing Over Time (With vs Without Policy)

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

Supply Chain Consultant (Denver, Colorado)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 6.0 years

Commonness: 6/20

Statement of Opinion:

  • Enhanced access to detailed manufacturing information can improve supply chain management, potentially benefiting my consulting services.
  • Future impacts could be substantial, though indirect.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $4500000 (Low: $4000000, High: $5000000)

Year 2: $2250000 (Low: $2000000, High: $2500000)

Year 3: $2250000 (Low: $2000000, High: $2500000)

Year 5: $2250000 (Low: $2000000, High: $2500000)

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

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

Key Considerations