Policy Impact Analysis - 117/S/5265

Bill Overview

Title: Taiwan Protection and National Resilience Act of 2022

Description: This bill requires the Department of Defense to submit a report identifying goods and services from the United States that China relies upon and U.S. military procurement practices that are reliant on trade with China. The bill also requires the Department of the Treasury to submit a sanctions strategy that could, in response to a Chinese invasion of Taiwan (1) limit China's ability to acquire petroleum and military materiel, (2) diminish the ability of the Chinese industrial base to replenish defense articles, and (3) inhibit China's ability to evade sanctions.

Sponsors: Sen. Rubio, Marco [R-FL]

Target Audience

Population: People worldwide affected by China-US-Taiwan trade and economic relations

Estimated Size: 33500000

Reasoning

Simulated Interviews

Software engineer (Seattle, WA)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • Concerned about job security if trade tensions increase.
  • Thinks the policy might lead to diversification of supply chains, which could be positive in the long run but challenging in the short term due to potential layoffs.

Wellbeing Over Time (With vs Without Policy)

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

Oil industry analyst (Houston, TX)

Age: 33 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • Sees potential for market instability if sanctions affect petroleum trade.
  • Believes there could be increased demand for US oil products, which could benefit local economy.

Wellbeing Over Time (With vs Without Policy)

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

Tech entrepreneur (San Francisco, CA)

Age: 28 | Gender: other

Wellbeing Before Policy: 9

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • Worried about supply chain disruptions on semiconductor availability.
  • Hopeful that strengthening Taiwan relations could secure supply chains.

Wellbeing Over Time (With vs Without Policy)

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

Auto industry worker (Detroit, MI)

Age: 52 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 7.0 years

Commonness: 8/20

Statement of Opinion:

  • Sees potential job risks if trade tensions increase.
  • Believes the policy could encourage domestic production.

Wellbeing Over Time (With vs Without Policy)

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

Supply chain manager (Austin, TX)

Age: 39 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • Prepared for increased operational costs due to sanctions.
  • Sees potential for supply diversification as both a challenge and an opportunity.

Wellbeing Over Time (With vs Without Policy)

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

Government policy advisor (Washington, D.C.)

Age: 60 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Understands the need for strategic trade policies to ensure national security.
  • Believes the policy is essential but acknowledges risks to certain industries.

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 8 8
Year 20 8 8

Financial analyst (New York, NY)

Age: 40 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 2.0 years

Commonness: 9/20

Statement of Opinion:

  • Sees potential for short-term market disruptions.
  • Long-term benefits if US manages to reduce over-reliance on China.

Wellbeing Over Time (With vs Without Policy)

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

Fashion designer (Los Angeles, CA)

Age: 29 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 4.0 years

Commonness: 7/20

Statement of Opinion:

  • Concerned about rising costs due to tariffs.
  • Willing to explore alternative sourcing options to mitigate risks.

Wellbeing Over Time (With vs Without Policy)

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

Defense contractor (Phoenix, AZ)

Age: 48 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Positive about increased opportunities in US defense contracts.
  • Concerned about bureaucracy slowing down implementations.

Wellbeing Over Time (With vs Without Policy)

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

University professor (Chicago, IL)

Age: 36 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 2/20

Statement of Opinion:

  • Sees the policy as a significant strategic move by the US.
  • Believes impacts on trade are necessary discussions in an academic setting.

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 8 8
Year 20 8 8

Cost Estimates

Year 1: $10000000 (Low: $8000000, High: $12000000)

Year 2: $10000000 (Low: $8000000, High: $12000000)

Year 3: $10000000 (Low: $8000000, High: $12000000)

Year 5: $10000000 (Low: $8000000, High: $12000000)

Year 10: $10000000 (Low: $8000000, High: $12000000)

Year 100: $10000000 (Low: $8000000, High: $12000000)

Key Considerations