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---

### Europe’s aggregate productivity reversal and approach
- After convergence with the United States in the second half of the 20th century, Europe’s hourly labor productivity gap vis-à-vis the US widened from the mid-1990s and again since the COVID crisis.
- In terms of per capita income, advanced European economies lag the United States by more than 20 percent.
- Weaker hourly labor productivity—reflecting Europe’s comparatively low total factor productivity rather than low capital intensity—is the main driver of the income gap.
- Core research questions: What explains Europe’s declining productivity growth? Which policies should be prioritized to revive it?
- Empirical approach: trace firm-level roots of Europe’s productivity problem at and behind the global frontier using multiple cross-country firm- and sector-level datasets (five corporate datasets overall; BDS, CompNet, OECD DynEmp; Compustat; Orbis; plus additional databases on intra-Europe trade barriers, intangibles, and venture capital).

### Three stylized facts comparing Europe and the United States
- Leading listed firms in Europe innovate and grow less than U.S. counterparts:
  - European listed tech firms experienced no aggregate productivity gain in the last two decades versus 40 percent growth for American listed tech firms.
  - Market valuations and R&D spending of American tech firms have pulled sharply ahead.
- Young high-growth firms in Europe are less disruptive and have a smaller employment footprint than U.S. counterparts.
- Europe exhibits weaker business dynamism:
  - Average entry and exit rates comparable to the U.S., but weaker “up-and-out” dynamics in Europe allow more unsuccessful firms to persist, producing an overabundance of small mature low-growth firms.

*Major firm groups central to productivity dynamics*
- Market leaders: large listed firms that define domestic technology and productivity frontiers; benefit from economies of scale and high R&D intensity.
- Innovative market followers: young high-growth firms (gazelles) that can catch up or leapfrog leaders and contribute disproportionately to job creation.
- Key inference: Europe’s fragmented market, smaller effective market size, and lower reliance on equity financing constrain scaling and innovation among both leaders and gazelles; weaker high-quality human capital further hampers gazelle formation.

### Relation to literature and contribution
- Builds on firm-level literature on weak aggregate productivity growth, business dynamism decline, resource misallocation, and the role of competition and concentration.
- Contribution: broad cross-country firm-level and sector-level comparison highlighting long-standing structural deficiencies (labor, product, financial market barriers) that became more penalizing with the ICT revolution.

### Paper organization (as described)
- Section 2: stylized facts for market leaders, young high-growth firms, and the full firm population.
- Section 3: bottlenecks for large/leading firms.
- Section 4: challenges for young high-growth firms.
- Section 5: selected policy recommendations.

---

### Entry Rates and firm-size dynamics
- Entry/Exit measurement notes:
  - 2019 panel summaries draw on OECD DynEmp, CompNet, BDS, Orbis, and IMF staff calculations.
  - Out of 30 European countries: 10 report at firm level, 1 at establishment level, and for 19 metadata are not available.
  - European averages are weighted by each country’s share of firms in the European aggregate.
  - “10+” sample excludes Switzerland and Greece in entry measures and excludes Greece in exit measures.
- Employment distribution by firm age and size:
  - An average mature firm (above 25 years old) in Europe employs just twice as many workers as an average young firm (below age three).
  - An average mature firm in the U.S. employs over eight times as many workers as an average young firm.
  - Micro firms (ten employees or fewer) account for 20 percent of total employment in Europe, nearly twice as much as in the U.S.; the micro-firm employment share in Europe has risen in the past decade.
- Role of young high- and low-growth firms:
  - Employment share panels contrast young low-growth (≤10th percentile growth) versus young high-growth (≥90th percentile growth) firms across 2001–09 and 2010–20 for Europe and the USA.
- Aggregate implication:
  - Weaker “up-or-out” dynamics and prevalence of small mature low-growth firms contribute to subdued aggregate productivity.
  - Inclusion of U.S. entrants after 1995 raises U.S. listed firms’ overperformance relative to Europe from 60 percent to 160 percent.

---

### Why leading European firms lag: market size, trade integration, and financing
- Limited effective market size:
  - Europe and the U.S. each represent around 15 percent of the global economy at purchasing power parity, but EU segmentation reduces effective market size for European firms.
  - The intensity of intra-EU trade is less than half the level of trade across U.S. states (IMF, 2024), limiting economies of scale and network effects.
  - Historical EU accession evidence: large firms expanded sales more steeply than smaller firms post-accession, with larger sales increases associated with larger productivity increases.
- Financing structure and intangible investment:
  - Digital- and AI-reliant industries require massive upfront R&D and data/customer accumulation with winner-takes-all dynamics.
  - Sustained large-scale intangible investment requires equity-friendly financing structures.

---

### Intra-EU trade costs: dynamics and levels (1995–2020 and 2020 levels)
- 1995 baseline comparisons:
  - In 1995, intra-EU trade costs were estimated to be 17.6 percent lower than trade costs between non-EU countries in goods, and 6.6 percent lower in services.
- 1995–2020 changes:
  - For goods, intra-EU trade costs fell by 6 percent.
  - For services, intra-EU trade costs fell by 11 percent.
  - Services imports from non-EU countries showed an estimated 16 percent decline in trade costs.
- Sector heterogeneity (1995–2020 declines in intra-EU trade costs):
  - Electrical machinery and other manufacturing: 9 percent decline.
  - Car and electronics industries: trade costs not found to have changed materially.
  - Telecoms and media services: trade cost declines of 18 and 19 percent, respectively.
- Level estimates for 2020 (upper-bound specification):
  - Average intra-EU trade costs for goods are estimated to be around 44 percent (excluding agriculture).
  - Average intra-EU trade barriers in services are estimated at 110 percent.
  - Replication with aggregate goods data and a common elasticity parameter of five yields an ad-valorem intra-EU tariff equivalent of 30 percent.
- Author’s synthesis:
  - Despite declines since 1995, significant remaining intra-EU trade barriers persist in 2020—especially in services—and substantial heterogeneity exists across industries.
  - Potential sources: poor border infrastructure (some goods), procurement rules, and lack of harmonized rules across jurisdictions.

---

### Services, productivity gains from deeper integration, and external benchmarks
- Productivity simulation using CUSFTA evidence (Trefler, 2004):
  - Each 10-percentage point reduction in goods tariffs could lead to a 1 percent increase in labor productivity.
  - Applying these numbers to estimated intra-EU sectoral barriers implies reducing intra-EU barriers to the level observed between U.S. states could potentially increase productivity by 6.7 percent.
  - Goods-sector calculation assumes average ad valorem trade barriers in 2020 fall from 53 percent to 13 percent (Head and Mayer (2021) U.S. level).
  - Services-sector calculation assumes analogous higher state-level barriers; aggregate simulated increase equals the output-weighted average of goods (4 percent) and services (8.3 percent) increases.
- Broader evidence: productivity gains operate through enhanced innovation and are more pronounced for already more productive firms.

---

### Financing structure, R&D volatility, and marginal propensity to invest (MPI)
- Equity financing differences:
  - U.S. listed firms have been able to issue about twice as much equity as European listed firms (net of share repurchases, as a share of firms’ book values).
- R&D volatility:
  - Despite comparable revenue volatility, swings in R&D spending are more common for European firms.
- MPI estimates (Compustat-listed firms):
  - Estimated MPI for European listed firms: 0.2.
  - Estimated MPI for U.S. listed firms: 0.13.
  - In tech sectors: a 1-percent unexpected sales increase raises investment by 0.4 percent for European listed firms versus 0.1 percent for U.S. firms.
  - Interpretation: higher MPI signals stronger financial frictions in Europe, causing firms to curtail investment after transitory cash-flow shocks.

### GFC evidence on R&D sensitivity
- Regression-based results using Whited and Wu (2006) index and firm controls:
  - The average impact of tightening financing conditions on R&D spending growth is almost two orders of magnitude larger for European firms compared to U.S. counterparts during the 2008–2009 GFC.
  - Sensitivity is muted for both regions over more benign financial periods.

---

### Gazelles (high-growth young firms): prevalence, performance, and sectoral composition
- Gazelle definition:
  - By age 10: (i) at least one three-year period of annualized deflated-sales growth of 20 percent or more; and (ii) eventual employment above 100.
- Stylized facts for 22 European countries:
  - Annual gazelle births have recently risen somewhat but remain below pre-GFC levels at about 0.5 percent of total firms.
  - Gazelles’ sales growth exceeded that of large leading firms by about 10 to 15 percentage points, but this overperformance has waned since the 2000s.
  - The share of gazelles in tech sectors increased from about 10 to 19 percent of births between 2008 and 2018, but remains small.
- Determinants of gazelle formation (Tobit specification with region and year fixed effects):
  - Gazelle counts are positively correlated with population growth.
  - Gazelle counts are negatively correlated with median population age and the old-age dependency ratio.
  - Human capital formation matters: the share of 25–34-year-olds with college degrees (including high-skilled migrants) is positively associated with gazelle births.
- Financing constraints and borrowing costs for gazelles:
  - Gazelles exhibit high marginal productivity of capital relative to large firms, implying binding financing constraints.
  - Regression results on average interest rates (financial expenses / total debt) interacting gazelle status and intangible-asset-intensity quintiles:
    - Gazelles in the top quintile of intangible intensity pay on average nearly 2 percentage points more than large incumbents in the same country, sector, and year.
    - The gap is just above 1 percentage point for gazelles in the bottom quintile of intangible intensity.
  - Scarcity of venture capital (VC) compounds under-financing problems.

---

### Venture capital (VC): cross-region magnitudes and firm-level impacts
- VC intensity:
  - VC investments were less than 0.2 percent of GDP in the EU compared to nearly 0.7 percent in the U.S.
  - VC activity is concentrated in a few countries.
- Firm-level causal evidence (event-study on timing of first VC round):
  - Receiving VC funding increases firms’ intangible assets by roughly 100 percent one year after the first round.
  - Three to four years after VC injection, total factor productivity of recipient firms is over 30 percent higher relative to its average pre-funding level.
  - The effect of VC on employment is positive but not statistically significant.
  - These estimates are lower bounds because they abstract from signaling and other lifecycle effects.

---

### Policy-relevant findings and recommendations
- Deepen the single market and remove remaining intra-EU trade barriers to incentivize R&D and investment that payoff with a larger customer base.
- Address underinvestment in border infrastructure, open protected sectors, pursue further services trade liberalization, and harmonize regulations to expand market access.
- Advance the EU capital markets union to better harness savings and increase equity financing availability across firms.
- Specific measures to ease VC constraints:
  - Harmonize VC regulations to incentivize development of larger funds.
  - Have the European Investment Fund play a catalytic role and provide due diligence as a public good.
  - Consider a fully harmonized "28th corporate regime" to reduce cross-border VC frictions.
- Promote talent agglomeration in innovation clusters via pension portability and mutual-recognition agreements for licensed professional services.
- Complement European-level actions with domestic reforms:
  - Ease administrative entry barriers, especially in some service sectors.
  - Reform labor market regulations to protect workers rather than jobs (example: Denmark’s “flexicurity” combining flexible layoff procedures with adequate unemployment benefits and strong active labor market policies).
  - Close tertiary education performance gaps, upgrade skills, and address mismatches via vocational training.
  - Improve insolvency frameworks to facilitate exit of less productive firms and reduce investor deterrents.
  - Strengthen R&D tax incentives targeted narrowly to R&D investments (e.g., accelerated depreciations and R&D investment tax credits) rather than broad corporate tax reductions; avoid firm size–based tax/regulatory incentives.

*Source: IMF Working Paper — “Europe’s Productivity Weakness”, excerpts from Introduction, Entry Rates, and Services chapters.*

### 1. Introduction  ______________________________________________________________________  2

### 1. Introduction

### Europe’s aggregate productivity reversal and context
- After an impressive four-decades-long productivity convergence spell with the United States in the second half of the 20th century, Europe’s hourly labor productivity gap vis-à-vis the US widened again from the mid-1990s, and then again since the COVID crisis (Figure 1.1).
- Today, in terms of per capita income, advanced European economies lag behind the United States by more than 20 percent, with other European countries facing even greater disparities.
- Weaker hourly labor productivity—reflecting Europe’s comparatively low total factor productivity rather than low capital intensity—is the main driver of the income gap (Figure 1.3).
- This trend reversal occurred despite extensive labor, capital, and product market reforms across Europe during the 1990s and 2000s.

### Research question and approach
- Core questions: What explains Europe’s declining productivity growth? Which set of policies should policymakers prioritize to revive it?
- Empirical approach: Trace firm-level roots of Europe’s productivity problem both at and behind the global productivity frontier, using comprehensive cross-country firm-level and sector-level datasets.
- Data sources (overview provided in text): five corporate datasets overall; three databases for aggregate comparisons (Business Dynamics Statistics (BDS), CompNet, OECD DynEmp); two firm-level databases (Compustat for listed firms; Orbis for young high-growth firms); plus additional databases for intra-Europe trade barriers, aggregate intangible capital stocks, and venture capital landscape.

### Three stylized facts about Europe vs. United States
- First: Europe’s large leading firms—defined as those publicly listed—innovate and grow less than their U.S. counterparts.
  - Europe-U.S. productivity gap has widened in both tech and non-tech sectors in the last two decades, particularly in tech.
  - European listed tech firms did not experience any aggregate productivity gain in the last two decades, versus 40 percent growth for American listed tech firms.
  - Market valuations and innovative activity—as measured by spending on R&D—have fallen sharply behind American tech firms.
- Second: Europe’s young high-growth firms are less disruptive and have a smaller economic footprint—measured as their contribution to total employment—than their U.S. counterparts.
- Third: Europe suffers from a broader lack of business dynamism.
  - Average firm entry and exit rates across Europe are comparable to U.S. levels, but “up-and-out” dynamics are weaker in Europe, allowing more unsuccessful firms to stay in business.
  - Result: an overabundance of small mature low-growth firms.

### Interconnections among deficiencies
- Fewer disruptive entrants reduce the pool of innovative ideas that make it to the top and lower competitive pressure on leading firms to innovate.
- Leading firms’ struggles to scale in sectors with economies of scale may discourage high-quality entrants and encourage startups in less dynamic sectors where survival is easier even if firms remain small.
- Common headwinds affecting both regions include demographic ageing and rising innovation costs; some, such as demographic ageing, might have affected Europe more than the U.S.

### Focus of the paper: two groups of firms central to productivity dynamics
- Market leaders: typically large listed firms defining the domestic technology and productivity frontier; account for a significant share of aggregates and benefit from economies of scale and strong investment in R&D.
- Innovative market followers: typically younger high-growth firms with potential to catch up or leapfrog market leaders; often drive disruptive innovations and contribute disproportionately to job creation.
- Key findings summarized:
  - Europe’s fragmented market, with a small effective market size and lower reliance on equity financing, prevents Europe’s large leading firms from scaling up and consistently investing in innovation-enhancing projects.
  - For young high-growth firms, a weaker pool of high-quality human capital hampers formation; lower availability of risk capital further constrains expansion, especially for firms investing heavily in hard-to-collateralize intangible assets.

### Relation to existing literature and contribution
- Builds on a growing literature looking at firm-level sources of weak aggregate productivity growth, with many studies focused on Europe.
- Highlights links to declining business dynamism, resource misallocation, the role of national frontiers in diffusion of new technologies, and the impact of competition and concentration on growth outcomes.
- Contribution: uses various firm-level and sector-level data sources to provide a broad comparison of business dynamism trends across European countries and relative to the U.S., and points to long-standing structural deficiencies (labor, product, and financial market barriers) that became more penalizing with the ICT revolution.

### Organization of the paper (as described)
- Section 2: documents key stylized facts related to productivity growth for market leaders and young high-growth firms and for the entire firm population, comparing Europe to the U.S.
- Section 3: focuses on bottlenecks facing Europe’s large and leading firms.
- Section 4: examines challenges facing Europe’s young high-growth firms.
- Section 5: draws selected policy recommendations from the findings.

*Source: IMF Working Paper — “Europe’s Productivity Weakness”, Introduction and start of Section 2.*

### 1. Entry Rates

### 1. Entry Rates

### Entry and Exit Rates (Business Dynamism)
- Panel summaries (2019 values) document entry and exit rates by firm/establishment and by size (“All” and “10+” employees) for the United States and a panel of European countries drawn from OECD DynEmp, CompNet, Business Dynamics Statistics, Orbis, and IMF staff calculations.
- Notes on measurement and coverage:
  - U.S. establishment-level entry and exit rates are calculated using BDS-defined entries/exits and total number of firms/establishments; firm-level entry rates are the ratio of age-0 firms to firms in the relevant category.
  - Out of 30 European countries in the dataset, 10 report at the firm level, 1 at the establishment level, and for 19 the metadata are not available.
  - The European average entry/exit rates are weighted averages using each country’s share of firms in the European aggregate as weights.
  - The “10+” sample excludes Switzerland and Greece in entry measures and excludes Greece in exit measures.

### Employment Distribution by Firm Age and Size
- Europe vs United States: firm size divergence over the life cycle:
  - An average mature firm (above 25 years old) employs just twice as many workers as an average young firm (below the age of three) in Europe.
  - An average mature firm employs over eight times as many workers as an average young firm in the U.S.
- Micro firms (ten employees or fewer):
  - Micro firms account for 20 percent of total employment in Europe, nearly twice as much as in the U.S.
  - The employment share of micro firms in Europe has risen in the past decade, coinciding with stalling productivity growth and a widening productivity gap between national productivity leaders and other firms in their industry.

### Role of Young High- and Low-Growth Firms
- Panel 2 (Employment Share of Young Firms: Low-Growth versus High-Growth Firms) contrasts employment shares of young low-growth firms (employment growth at or below the 10th percentile) and young high-growth firms (employment growth at or above the 90th percentile) across 2001–09 and 2010–20 for Europe (selected countries) and the USA.

### Implications for Productivity and Market Structure
- Weaker “up-or-out” dynamics and an overabundance of small mature low-growth firms in Europe contribute to persistent microfirm prevalence and subdued aggregate productivity growth.
- New U.S. high-growth “superstar” entrants explain a large part of growing valuation and performance gaps: when firms that entered after 1995 are included, U.S. listed firms’ overperformance relative to Europe’s stock market rises to 160 percent (from 60 percent when only firms present in 1995 are considered).

### Why leading European firms lag: Limited effective market size and financing constraints
- Limited effective market size:
  - Although Europe and the U.S. each represent around 15 percent of the global economy at purchasing power parity, segmentation within the EU reduces effective market size for European firms.
  - The intensity of intra-EU trade is less than half of the level of trade across U.S. states (IMF, 2024), limiting European firms’ ability to reap economies of scale and network effects.
  - Historical evidence: EU accession drove income convergence by boosting total factor productivity and capital accumulation; firm-level analysis shows large firms expanded sales more steeply than smaller firms post-accession, and firms with larger sales increases also had larger increases in productivity.
- Financing structure and intangible investment:
  - Industries reliant on digital technologies (e.g., AI) require massive upfront R&D and data/customer accumulation, benefiting from scale and network effects and producing “winner-takes-all” dynamics.
  - Sustained large-scale investment in intangibles requires financing structures that accommodate risky, hard-to-collateralize, long-term investments.

### Inference on Trade Barriers and Market Integration
- Simple ratio trends:
  - By 2020, intra-EU trade was 30 percent of that of domestic (within-EU-country) sales for goods, and 10 percent for services.
  - EU imports from non-EU countries increased at a similar rate over the same period.
- Gravity-model approach:
  - A sector-level gravity specification decomposes bilateral trade flows into intra-EU (EU), EU imports from non-EU (EUROW), and non-EU cross-border flows, controlling for PTAs, WTO membership, time-varying exporter and importer fixed effects (χ, 휑), and country-pair fixed effects (휇); estimation uses OECD TiVA inter-country input-output data for 1995–2020.
  - Estimated year-varying coefficients are converted into ad-valorem trade cost equivalents using sector-specific trade-cost elasticities drawn from Fontagne et al. (2022).
- Estimated dynamics and levels (selected figures preserved exactly as reported):
  - In 1995, intra-EU trade costs were estimated to be 17.6 percent lower than trade costs between non-EU countries in goods, and 6.6 percent lower in services.
  - Over 1995–2020:
    - For goods, intra-EU trade costs fell by 6 percent.
    - For services, intra-EU trade costs fell by 11 percent.
    - By contrast, services imports from non-EU countries showed an estimated 16 percent decline in trade costs.
  - Sector heterogeneity (1995–2020 declines in intra-EU trade costs):
    - Electrical machinery and other manufacturing: 9 percent decline.
    - Car and electronics industries: trade costs not found to have changed materially.
    - Telecoms and media services: trade cost declines of 18 and 19 percent, respectively.
- Level estimates for 2020 (upper-bound specification replacing country-pair fixed effects with time-invariant shifters such as distance, border, language, legal origin):
  - Average intra-EU trade costs for goods are estimated to be around 44 percent (excluding agriculture).
  - Average intra-EU trade barriers in services are estimated at 110 percent.
  - These level estimates are upper bounds and sensitive to dataset choice and aggregation.
  - Replicating the analysis with aggregate goods data and a common elasticity parameter value of five yields an ad-valorem intra-EU tariff equivalent of 30 percent (smaller than the sector-level 44 percent estimate but larger than the 8 percent figure reported by Head and Mayer (2021)).

### Synthesis: Remaining impediments and heterogeneity
- Despite substantial declines in bilateral trade costs since 1995, significant remaining intra-EU trade barriers persist in 2020, especially in services, and with wide heterogeneity across industries.
- Potential sources of remaining impediments include poor border infrastructure (for some goods), procurement rules, and lack of harmonized rules across jurisdictions.

*Source: wpiea2025040-print-pdf - 1. Entry Rates (IMF Working Paper excerpt).*

### 2. Services

### 2. Services

### Intra-EU trade barriers and productivity implications
- Empirical estimates from gravity models for bilateral trade flows in 2020 indicate material intra-EU sectoral trade barriers.
- Using estimates of the productivity effects of the 1988 U.S.-Canada trade agreement (CUSFTA) from Trefler (2004): each 10-percentage point reduction in goods tariffs could lead to a 1 percent increase in labor productivity.
- Applying those numbers to the estimated intra-EU sectoral barriers implies that reducing intra-EU barriers to the level observed between U.S. states could potentially increase productivity by 6.7 percent.
- In the goods sectors (including agriculture) the calculation assumes the average ad valorem trade barriers in 2020 (53 percent) falls to 13 percent, the level estimated by Head and Mayer (2021) to prevail in the U.S. in the aggregate of all goods sectors.
- For services sectors, the calculation assumes that barriers between U.S. states are higher than for goods in the same proportion as in the case of the EU. The aggregate increase in productivity equals the output-weighted average of the simulated increases across the goods (4 percent) and services (8.3 percent) sectors.
- Broader evidence suggests productivity gains operate through enhanced innovation, and are more pronounced for already more productive firms (see review by Shu and Steinwender, 2019).

### Financing structure, R&D volatility, and intangible investment
- European listed firms rely less on equity than U.S. listed firms; relative to their size, U.S. listed firms have been able to issue about twice as much equity as European ones (net of share repurchases, as a share of firms’ book values).
- Equity financing is better suited than debt for risk-taking ventures and intangible investments, which cannot be pledged as collateral but are a primary component of firm capital in innovative industries.
- Despite comparable volatility in revenues across Europe and the U.S., swings in R&D spending over time are more common for European firms.
- The patterns of real intangible capital stock (1995=100) are documented using EU KLEMS & INTANProd and IMF WEO Database; total intangible capital stocks are normalized to 1995 levels.

### Empirical tests of financial frictions: marginal propensities to invest (MPI)
- The MPI (elasticity of investment to transitory revenue shocks) is estimated following Blundell and others (2008) and Martin-Baillon (2021) methodology applied to Compustat-listed firms.
- The estimated MPI is higher for European listed firms than for U.S. counterparts: 0.2 versus 0.13.
- In tech sectors the difference is particularly pronounced: an unexpected one-percent increase in sales is estimated to increase investment by 0.4 percent for European listed firms versus 0.1 percent for U.S. firms.
- Interpretation: higher MPI indicates stronger financial frictions, causing firms to curtail investment in response to transitory cash-flow shocks, which contributes to greater volatility in intangible investment (R&D).

### Global financial crisis (GFC) evidence on R&D sensitivity to financial constraints
- A second approach exploits the 2008–2009 GFC and differential exposure of firms with large debt to roll over.
- Firm-level regression: ∆log r_{i,t} = β z_{i,t-1} + γ Γ_{i,t-1} + θ X_{i} + ε_{i,t}, where z is the Whited and Wu (2006) financial frictions index and Γ includes firm controls (external financing dependence, log sales, research intensity, leverage, profitability), with country and 2-digit SIC sector fixed effects.
- The average impact of tightening financing conditions on R&D spending growth is almost two orders of magnitude larger for European firms compared to U.S. counterparts (Figure 11.2).
- The sensitivity is muted for both European and U.S. firms when estimating over more benign financial periods.

### Gazelles (high-growth young firms): prevalence, performance, and sectoral composition
- Definition: gazelles are firms that by age 10 (i) feature at least one three-year period of annualized growth in deflated sales of 20 percent or more; and (ii) eventually reach more than 100 employees.
- Using firm-level data for 22 European countries:
  - Annual gazelle births have recently risen somewhat but remain below pre-global financial crisis levels at about 0.5 percent of total firms.
  - Gazelles’ sales growth has exceeded that of large leading firms by about 10 to 15 percentage points, though this overperformance has waned since the 2000s.
  - The share of gazelles found in tech sectors increased from about 10 to 19 percent of births between 2008 and 2018, but remains small.
- Data coverage limitations prevent a direct U.S.-Europe comparison for non-listed firms; rough high-level comparisons indicate lower shares of very young firms in some tech-related sub-sectors in Europe versus the U.S.

### Determinants of gazelle formation: demographic and human capital factors
- Gazelle counts are modeled via a Tobit specification with region and year fixed effects: N_{c,t}^* = α_c + α_t + β X_{c,t} + ε_{c,t}, where X includes time-varying country-specific demographic and labor-force variables.
- Key empirical correlations:
  - Number of gazelles is positively correlated with population growth.
  - Number of gazelles is negatively correlated with median population age and the old-age dependency ratio.
  - Human capital formation supports gazelle formation: the share of 25–34-year-olds with college degrees, including high-skilled migrant workers, is positively associated with gazelle births.
- The negative relationship between aging and startups has also been documented for the U.S. (Engbom, 2019; Hopenhayn and others, 2022).

### Financing constraints of gazelles and borrowing costs
- Gazelles exhibit high marginal productivity of capital compared to large firms, indicative of binding investment financing constraints that keep capital intensity below optimal levels.
- Regression of average interest rate (financial expenses as a share of total debt) on an interaction of gazelle status and intangible-asset-intensity quintiles (with country-sector-year fixed effects) finds:
  - Gazelles in the top quintile of intangible intensity pay on average nearly 2 percentage points more than large incumbents in the same country, sector and year.
  - The gap is just above 1 percentage point for gazelles in the bottom quintile of intangible intensity.
- One damaging aspect of under-financing is the scarcity of venture capital (VC), which can be particularly effective in fostering growth of young and innovative firms by providing equity-based financing suited for intangible-intensive activities.

*Source: IMF Working Papers — Europe’s Productivity Weakness (chapter 2: Services).*

### 1. Average revenue per unit of assets: Gazelles

### 1. Average revenue per unit of assets: Gazelles vs. Large Non-gazelles (Percent)

### Gazelles vs. Large Non-gazelles — key comparisons
- Chart/measure title: "1. Average revenue per unit of assets: Gazelles vs. Large Non-gazelles (Percent)"
- Associated datapanel context: comparative percent measures of revenue per unit of assets for "Gazelles" and "Large Non-gazelles".

### Interest rate gap by intangible asset share
- Chart/measure title: "2. Average interest rate gap between gazelle and large non-gazelle firms by intangible asset share (Percentage Points)"
- Methodological note: "In panel 2, interest rates are calculated as financial expenses divided by debt, including loans and long-term liabilities."

### Venture capital (VC) usage — cross-region magnitudes
- "VC investments were less than 0.2 percent of GDP in the EU compared to nearly 0.7 percent in the U.S."
- VC activity is concentrated in a few countries (Figure 15.2 reference in source).

### Firm-level impact of VC funding — empirical findings
- Identification approach: exploit differences in timing of VC disbursements between eventual VC recipients; majority of deals happen between years 1 and 4 of a firm’s life cycle.
- Econometric specification (log-linear, event study dummies): log y_{i,t} = alpha_t + X_{i,t} beta + sum_{k} delta_k D_{i,t}^k + epsilon_{i,t}, where X_{i,t} is a matrix of firm-level controls and D_{i,t} are time dummies taking value 1 when firm i receives VC funding for the first time.
- Estimated effects:
  - Receiving VC funding increases firms’ intangible assets by roughly 100 percent one year after the first round of VC funding (Figure 16.2).
  - Three to four years after the VC injection, the total factor productivity of recipient firms is over 30 percent higher compared to its average level in pre-funding years (Figure 16.3).
  - The effect of VC on employment is positive but not statistically significant (Figure 16.4).
- Interpretation note: estimates provide a lower bound for the full beneficial effect of VC funding because the analysis abstracts from signaling roles and other lifecycle effects.

### Data sources and notes
- Sources listed: Orbis; and IMF staff calculations.
- Notes relevant to figures:
  - For VC usage figures: panel 1 abbreviations—CAN = Canada, CHE = Switzerland, EU = European Union, GBR = United Kingdom, JPN = Japan, KOR = Korea, and USA = United States.
  - For regional VC indexing: "Cumulative sum of 2007-2021 in NUTS3 region."
  - For event-study panels (Figure 16 panels 2–4): "The horizontal axis shows years before and after the recipient of VC funding, with time=0 showing the year when a firm receives VC funding. The vertical axis shows the percent change of the variable considered relative to the average level of that variable during the reference years, which are three or more years prior to VC funding."

### Concluding empirical implications (from the chapter)
- Europe’s widening aggregate productivity gap with the United States appears both at and behind the frontier: Europe’s large leading firms have fallen behind in terms of both productivity and innovation efforts, while the continent also fosters fewer dynamic startups.
- Identified constraints on scaling-up and innovation for Europe’s most productive firms include:
  - A smaller effective market size.
  - A more limited role of equity financing (including venture capital).
  - Lower availability of human capital.

### Policy-relevant findings and recommendations tied to VC and firm scaling
- Deepen the single market and remove remaining barriers to trade within the EU to incentivize R&D and investment that pay off with a larger customer base.
- Address underinvestment in border infrastructure, open up protected sectors, pursue further services trade liberalization, and harmonize regulations to expand market access.
- Advance the EU capital markets union to better harness savings and increase the availability of equity financing for firms of all sizes.
- Specific measures to ease VC constraints:
  - Harmonize VC regulations to incentivize the development of larger funds.
  - Have the European Investment Fund play a catalytic role and provide due diligence as a public good.
  - Consider a fully harmonized "28th corporate regime" to reduce constraints that inhibit VC, including across borders.
- Promote talent agglomeration in innovation clusters by increasing portability of pensions and mutual-recognition agreements for professional services requiring licensing.
- Complement European-level measures with domestic reforms:
  - Ease administrative barriers to entry, especially in some service sectors.
  - Reform labor market regulations to protect workers rather than jobs (example: Denmark’s "flexicurity" combining flexible layoff procedures with adequate unemployment benefits and strong active labor market policies).
  - Close performance gaps in tertiary education, upgrade skills, and address mismatches through vocational training.
  - Improve insolvency frameworks to facilitate exit of less productive firms and reduce investor deterrents.
  - Strengthen R&D tax incentives targeted narrowly to R&D investments (e.g., accelerated depreciations and R&D investment tax credits) rather than broad corporate tax reductions; avoid firm size–based tax/regulatory incentives.

*Source: IMF Working Paper — Europe’s Productivity Weakness: Firm-level Roots and Remedies (figures and text as provided).*

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_Source: https://www.imf.org/-/media/files/publications/wp/2025/english/wpiea2025040-print-pdf.pdf_