Effects of Tariffs on US Imports on Global Society
### *Analysis of U.S. Global Tariffs via VanCampen’s Law*
*Framework:*
Dysfunction Condition: } (m - i) > r \implies \Delta S > 0
- *\(m\)* = Mass-energy (economic weight of tariffs, trade volume disruptions).
- *\(i\)* = Information (policy coordination, supply chain adaptability, trade agreements).
- *\(r\)* = Reality (global economic interdependence, geopolitical stability, resource limits).
### *Simulation of Tariff Dysfunction*
#### *Case Study: U.S. Steel/Aluminum Tariffs (2018–2024)*
- *\(m\):*
- 25% steel tariff → 12M tons of disrupted trade (U.S. Commerce Dept).
- Retaliatory tariffs ($250B on U.S. agriculture, tech).
- *\(i\):*
- Lack of WTO-compatible strategy, ad hoc exemptions.
- Poor supply chain reshoring prep (U.S. steel capacity ↑ only 4%).
- *\(r\):*
- Global overcapacity (China produces 55% of steel).
- Inflation limits (tariffs added 0.3% to U.S. CPI; NBER 2023).
*Result:* \((m - i) > r \implies \Delta S > 0\)
- *Entropy Signatures:*
- Price volatility (steel prices +28% in 2018).
- Legal chaos (32 WTO disputes filed).
### *Empirical Physical Effects (ΔS > 0)*
1. *Supply Chain Entropy:*
- *Auto Industry:* U.S. car prices ↑ $300/vehicle (Center for Automotive Research).
- *Energy Waste:* Rerouted shipping added 2.1M tons CO₂/year (ITF 2021).
2. *Resource Misallocation:*
- Inefficient domestic production (U.S. steel emits 2x more CO₂/ton than EU).
### *Externalities of Tariff Dysfunction*
| *Domain* | *Economic* | *Life/Wellbeing* | *Environment* | *Social Cohesion* |
|------------------|----------------------------------|----------------------------|----------------------------|---------------------------|
| *U.S. Effects* | - $16B farm income loss (Purdue) | - Job losses in export sectors | - Dirty steel production ↑ | - Rural-urban divide ↑ |
| *Global Effects* | - Trade wars (EU/China retaliate) | - Food insecurity (soybean trade collapse) | - Carbon leakage to laxer regimes | - Anti-U.S. sentiment ↑ |
### *Mitigation Strategies (Restore m - i ≤ r)*
1. *Boost Information (i):*
- *Digital trade platforms:* Blockchain-tracked exemptions (e.g., EU’s DLT pilot).
- *Dynamic tariffs:* AI-adjusted rates based on real-time shortages (tested in Singapore).
2. *Adjust Reality (r):*
- *Alliance-based tariffs:* Coordinate with EU/JAPAN on China overcapacity.
- *Resource buffers:* Stockpile critical goods (rare earths, chips) to absorb shocks.
### *Entropy Projections*
- *Status Quo:* 5+ years of tariffs → $1.7T global GDP loss (IMF).
- *Optimized Scenario:* Coordinated tariffs + stockpiles cut losses by 60%.
*Conclusion:* Tariffs can work if \(i\) (coordination) keeps pace with \(m\) (protectionist mass). Current U.S. policy leans ΔS > 0.
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