## America Must Rediscover Its Dynamism

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### Overview
- The US economy has experienced a marked slowdown in productivity growth:
  - Between 1947 and 2005, labor productivity grew at an average annual rate of 2.3 percent.
  - After 2005, the rate fell to 1.3 percent.
  - If output per hour had continued at 2.3 percent between 2005 and 2018, the US would have produced $11 trillion more in goods and services than it did, according to the US Bureau of Labor Statistics.
- The productivity slowdown is part of a broad-based trend across advanced economies; productivity growth in Europe has been even slower than in the US, contributing to a widening GDP per capita gap with the US.
- Two related measures of productivity are highlighted:
  - Labor productivity: real output per hour of work.
  - Total factor productivity (TFP): accounts for changes in capital intensity and capacity utilization.
- Labor productivity and TFP have moved in tandem since the 1940s; falling TFP growth drives declines in labor productivity gains.

### Evidence and mechanisms linking dynamism to productivity
- Creative destruction and business reallocation are central to aggregate productivity:
  - Aggregate TFP reflects both technological frontier and efficiency of resource allocation.
  - Productivity growth can arise from new technologies or from reallocating resources from unproductive to productive firms.
- Indicators of declining business dynamism in the US:
  - Entry rate (share of enterprises that started operating in a given year) fell from 13 percent in 1980 to 8 percent in 2018 (US Census Bureau).
  - Average number of employees per enterprise rose from 20 in 1980 to 24 by 2018.
  - A secular decline in business-to-business reallocation since the late 1980s (research by John Haltiwanger and others).
- Rising corporate concentration and its correlates:
  - Average markup by publicly traded US companies rose from about 20 percent in 1980 to 60 percent today.
  - Labor’s share of the US economy has fallen by about 5 percentage points since 1980, with faster declines in more concentrated industries.

### Proximate causes: how reduced churn affects growth
- Slower new business formation and larger incumbent firms reduce competitive pressure:
  - Lower entry rates mean fewer new firms to challenge incumbents, diminishing creative destruction.
  - Incumbents shielded from competition can expand markups and profit margins, reduce labor’s share, and lower aggregate productivity growth.
- Reduced worker reallocation across firms implies less movement from declining to expanding businesses, weakening the dynamism mechanism that supports productivity growth.

### Fundamental causes under consideration
Researchers consider four broad, non–mutually exclusive explanations:

- The advent of information technology and resulting economies of scale
  - Advanced IT made it easier for productive firms to scale across product markets and to reduce marginal costs relative to higher fixed costs.
  - Initial IT adoption produced a productivity boom in the late 1990s and early 2000s, but large-scale incumbents may deter entry and reduce long-run creative destruction.
  - Research cited: Aghion et al. (2023); De Ridder (2024).

- Changes in the process of knowledge diffusion
  - Lagging firms face greater difficulty adopting frontier technologies; superstars may be technologically beyond adoption by smaller rivals.
  - Defensive patenting and dense patent thickets may impede diffusion.
  - Research cited: Akcigit and Ates (2023) document rising concentration of patenting among superstar firms and link adoption changes to declines in dynamism and productivity.

- Slowing population growth (demographics)
  - US population growth has plunged since the 1960s and reached historical lows in recent years.
  - Slower population growth can reduce creative destruction and new business entry, thereby lowering productivity growth.
  - Research cited: Peters and Walsh (2021) show slowing population growth reduces business entry and firm dynamics.

- Policy changes (regulation, taxes, R&D incentives)
  - Changes such as licensing requirements, R&D subsidies favoring incumbents, or corporate tax changes could affect entry and dynamism.
  - Evidence suggests policy changes alone are unlikely to quantitatively account for the aggregate productivity slowdown; the phenomenon also appears across other developed economies.

### Policy implications and recommendations
- Occam’s razor suggests focusing on global changes—advanced IT adoption and declining population growth—as key drivers with policy relevance.
- Demographics and immigration
  - Given limited success in reversing declining fertility, immigration policy is the main short- to medium-term lever to counter falling population growth and its effects on dynamism and productivity.
- Competition policy and antitrust
  - If advanced IT has increased concentration and market power with adverse consequences for productivity, strengthened antitrust enforcement could address not only higher prices but also slower innovation and growth.
  - The stakes are substantial: reversing the slowdown is framed as “quite literally, a trillion-dollar question for policymakers.”

### Key statistics and magnitudes (exact source figures)
- Labor productivity average annual growth:
  - 1947–2005: 2.3 percent
  - After 2005: 1.3 percent
- Foregone output if 2.3 percent had continued from 2005–2018: $11 trillion
- Entry rate of enterprises:
  - 1980: 13 percent
  - 2018: 8 percent
- Average employees per enterprise:
  - 1980: 20
  - 2018: 24
- Average markup by publicly traded US companies:
  - 1980: about 20 percent
  - Today: 60 percent
- Change in labor’s share of the US economy since 1980: fallen by about 5 percentage points

*Article: America Must Rediscover Its Dynamism, Michael Peters, September 2024.*

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_Source: https://www.imf.org/-/media/files/publications/fandd/article/2024/09/peters.pdf_
