Policy Impact Analysis - 117/S/3682

Bill Overview

Title: American Small Business Competition Act of 2022

Description: This bill increases the maximum loan amounts available for small businesses principally engaged in agriculture, manufacturing, or the production of certain technologies. It also requires the Small Business Administration to report about the effect of inflation and supply chain disruption on the cost to small businesses of accessing capital.

Sponsors: Sen. Ernst, Joni [R-IA]

Target Audience

Population: People working in or owning small businesses in agriculture, manufacturing, or technology sectors globally

Estimated Size: 20000000

Reasoning

Simulated Interviews

Farmer (Iowa)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Excited about the increased loan opportunities to invest in better farming equipment.
  • Concerned that the inflation might offset the benefits of the increased loan amounts.

Wellbeing Over Time (With vs Without Policy)

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

Manufacturing Business Owner (Michigan)

Age: 42 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • The opportunity to access larger loans is a relief amidst the current supply chain challenges.
  • Hopes the policy will stabilize raw material prices.

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 4
Year 10 9 4
Year 20 8 3

Tech Startup Founder (California)

Age: 29 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Access to more capital could be pivotal in scaling our operations faster.
  • Skeptical about the actual disbursement speed of these increased loans.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Consultant (Texas)

Age: 58 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy should significantly support businesses his company assists but notes it's not a 'fix-all'.
  • Sees broader economic benefits as more capital circulates in the economy.

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 5
Year 10 6 5
Year 20 5 4

Urban Farmer (New York)

Age: 47 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 7.0 years

Commonness: 3/20

Statement of Opinion:

  • The enhanced loan limits can enable expansion of urban farming capabilities.
  • Worries about bureaucratic processes delaying access.

Wellbeing Over Time (With vs Without Policy)

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

Mechanical Engineer for a Small Manufacturing Firm (Ohio)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • If the company can access larger loans, it might secure my job and even lead to potential salary increments.
  • Worries that focus might remain on the owners and not trickle down to the workforce.

Wellbeing Over Time (With vs Without Policy)

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

Agricultural Scientist (Georgia)

Age: 37 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 6.0 years

Commonness: 5/20

Statement of Opinion:

  • Increased funding could allow more farms to experiment with innovative agricultural technologies I develop.
  • Concerned that technological advances might overshadow traditional methods.

Wellbeing Over Time (With vs Without Policy)

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

Retired Factory Owner (Alabama)

Age: 60 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 3.0 years

Commonness: 7/20

Statement of Opinion:

  • The policy comes too late for my business, but I believe it could provide hope and stability for current owners.
  • Mentors young entrepreneurs and believes this policy could be a 'game-changer'.

Wellbeing Over Time (With vs Without Policy)

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

Supply Chain Analyst (Florida)

Age: 32 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 8.0 years

Commonness: 6/20

Statement of Opinion:

  • This act will probably lead to more stable supply chains, benefiting both my clients and the sector overall.
  • Uncertain if the funding will be evenly distributed among industries.

Wellbeing Over Time (With vs Without Policy)

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

Tech Employee at Start-up (Colorado)

Age: 26 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Increased funding through loans may offer job security and business expansion opportunities.
  • Concerns over newly incurred business debts may have indirect impacts.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $200000000 (Low: $150000000, High: $250000000)

Year 2: $200000000 (Low: $150000000, High: $250000000)

Year 3: $200000000 (Low: $150000000, High: $250000000)

Year 5: $200000000 (Low: $150000000, High: $250000000)

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

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

Key Considerations