Policy Impact Analysis - 117/HR/6428

Bill Overview

Title: Brick and Mortar Small Business Tax Credit Act of 2022

Description: This bill allows a new state and local general sales tax credit through 2026 for certain small businesses whose business gross receipts for the taxable year do not exceed $2 million and that were generated by a specified percentage of in-person sales. The amount of the credit is 5% of business gross receipts not exceeding $1 million. The bill also requires the Small Business Administration to conduct a public awareness campaign to inform small businesses of this tax credit.

Sponsors: Rep. Khanna, Ro [D-CA-17]

Target Audience

Population: Small business owners with in-person gross receipts <= $2 million/year

Estimated Size: 9350000

Reasoning

Simulated Interviews

Small business owner - Bookstore (Portland, OR)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 5/20

Statement of Opinion:

  • The tax credit would provide much-needed financial relief.
  • Promoting in-person sales is important in a digital market.
  • Awareness of these types of policies is often low; the campaign could be useful.

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 7 5
Year 20 6 4

Coffee shop owner (Austin, TX)

Age: 36 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Happy to see direct financial incentives for businesses like mine.
  • Would like to see more support for increased labor costs.
  • In-person sales focus is crucial for service industries like mine.

Wellbeing Over Time (With vs Without Policy)

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

Bakery owner (Columbus, OH)

Age: 29 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy seems beneficial, especially as wages and supplies get more costly.
  • We rely heavily on local customers, so sustaining in-person sales is vital.
  • I wasn't aware of this, and a campaign could help others like me.

Wellbeing Over Time (With vs Without Policy)

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

Furniture store owner (Seattle, WA)

Age: 52 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 4/20

Statement of Opinion:

  • Appreciates a focus on physical retail locations.
  • Concerned about limitations due to high capital costs despite revenue falling under $2 million.
  • Support through credits might encourage more steady operations.

Wellbeing Over Time (With vs Without Policy)

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

Restaurant owner (Charlotte, NC)

Age: 41 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • A tax credit could ease some financial burdens.
  • Having employee retention incentives would be equally beneficial.
  • Important for businesses trying to recover from recent economic slumps.

Wellbeing Over Time (With vs Without Policy)

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

Hardware store owner (Kansas City, MO)

Age: 60 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 3/20

Statement of Opinion:

  • Support for local businesses helps the community as a whole.
  • We've been around for a long time, though the market has changed significantly.
  • Welfare of employees is equally critical with such financial policies.

Wellbeing Over Time (With vs Without Policy)

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

Florist (Phoenix, AZ)

Age: 48 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 5/20

Statement of Opinion:

  • Grateful for any financial support offered.
  • Events largely dropped, hard to maintain sales figures lately.
  • Policies like this can buy time to rebuild clientele.”

Wellbeing Over Time (With vs Without Policy)

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

Record store owner (Denver, CO)

Age: 34 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • It's a great benefit for niche businesses like mine.
  • Finding ways to increase foot traffic is also critical.
  • I've seen others unaware of similar programs, effects could be broader.

Wellbeing Over Time (With vs Without Policy)

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

Boutique clothing store owner (Miami, FL)

Age: 38 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 5/20

Statement of Opinion:

  • Incorporating a tangible incentive for sales can help prioritization.
  • Support for marketing could further boost store performance.
  • Important for hybrid stores like mine to find balanced operations.

Wellbeing Over Time (With vs Without Policy)

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

Tech retail store assistant manager (New York, NY)

Age: 25 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 5/20

Statement of Opinion:

  • While not the owner, I see how this affects our business.
  • Retaining in-person sales can improve job stability.
  • Owner is concerned about digital competition reducing visit rates.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $6000000000 (Low: $5000000000, High: $7000000000)

Year 2: $6000000000 (Low: $5000000000, High: $7000000000)

Year 3: $6000000000 (Low: $5000000000, High: $7000000000)

Year 5: $6000000000 (Low: $5000000000, High: $7000000000)

Year 10: $6000000000 (Low: $5000000000, High: $7000000000)

Year 100: $6000000000 (Low: $5000000000, High: $7000000000)

Key Considerations