VoxTalks Economics
VoxTalks Economics

S3 Ep32: Solving Europe's productivity puzzle

In the recovery from Covid-19 we urgently need to boost productivity. But which policies move the needle? Filippo di Mauro tells Tim Phillips about what CompNet's firm-level productivity data tells us about both the problem and the solution. Find out more about what the data is telling us.

Featured Speakers

Tim Phillips HostFilippo Di Mauro Guest

Topics Discussed

Episode Summary

Executive Summary: The episode examines Europe’s long productivity slowdown using CompNet firm-level data. Filippo Di Mauro argues that aggregate averages hide major differences between firms and regions, and that productivity recovery depends on reallocating resources to more productive firms, supporting efficient exit/entry, and avoiding blanket policies that preserve weak firms or market power.

Main Topics: Europe’s long productivity slowdown (Priority: 5/5): The discussion opens with the claim that Europe has faced 15+ years of weak productivity growth, worsening after the 2008-09 crisis and remaining a central constraint on recovery and living standards. Why firm-level data matters (Priority: 5/5): Di Mauro explains that national averages obscure important differences among firms, especially between top performers and laggards, so firm-level data better reveals the real drivers of competitiveness and policy needs. Productivity dispersion across firms and countries (Priority: 5/5): The episode highlights large productivity gaps between the most and least productive firms, with especially wide gaps in some countries. This dispersion may reflect barriers to technology diffusion, zombie firms, or structural distortions. Allocative efficiency and reallocation (Priority: 5/5): A major theme is whether capital and labor flow toward the most productive firms. The report argues reallocation has stagnated since 2005, helping explain weak aggregate productivity. COVID-19, job protection, and cleansing effects (Priority: 4/5): The pandemic is discussed as a shock that could either cleanse the economy by eliminating weak firms or depress productivity if support keeps unproductive firms alive through market power or broad subsidies. Credit constraints, intangibles, and regional differences (Priority: 4/5): The transcript considers how finance, intangible assets, and regional disparities affect firm growth and productivity, with a call to analyze the crisis more at the regional than country level. Data quality and cross-country comparability (Priority: 3/5): CompNet’s data-building process is described in detail, emphasizing collaboration with central banks and statistical institutes, confidentiality, and comparability checks as foundations for robust research and policy.

Key Arguments: Europe’s productivity problem is structural and longstanding; weak productivity growth is the main reason mature economies struggle to raise welfare as labor and capital growth slow. Aggregate country-level metrics can mislead because firms within the same country behave very differently; policy should target low-productivity segments without harming high-productivity leaders. Cross-country and firm-level comparisons reveal that productivity dispersion is large in Europe, and this dispersion likely signals barriers to diffusion, entry, exit, or firm scaling. Allocative efficiency matters because a meaningful share of aggregate productivity changes comes from moving resources to better firms, yet this reallocation has stagnated since 2005. COVID-era support should be time-bound and tied to performance; otherwise, it risks sustaining zombie firms and market-power-based survival instead of productive restructuring. Job protection can be useful in the short run to preserve firm-specific human capital, but prolonged protection may delay necessary exit and entry dynamics. Credit constraints can restrain productive firms, but the report suggests this has improved in Europe recently due to expansionary monetary policy. Regional analysis is increasingly important because the crisis’s economic effects and exposure patterns differ within countries, not just across them.

Data Points: Average EU productivity growth peak: About 2% - Di Mauro says EU productivity growth peaked around 2005 at roughly 2%. Time since peak: More than 15 years ago - He notes the average EU productivity growth peak was in 2005. Germany and Denmark productivity growth: Around 1% - Cited as relatively better-performing countries, though still modest. Finland, Sweden, and Italy productivity growth: Negative - These countries are mentioned as having negative productivity growth in the recent period. Top-decile vs bottom-decile productivity gap in Europe: 90% higher - On average, the most productive firms are 90% more productive than the least productive firms. Productivity gap in France: Over 150% - France is identified as having a particularly large gap between top and bottom firms. Productivity gap in Italy: 170% - Italy is cited as having one of the widest productivity gaps. Productivity gap in Finland: Less than 40% - Finland is presented as a more homogeneous economy in firm productivity. Reallocation share of aggregate productivity changes: 30-40% - The reallocation component is said to account for a substantial part of changes in aggregate productivity. Reallocation stagnation: Since 2005 - The OP gap measure suggests reallocation has stalled across Europe since 2005. Job dynamics trend: Declined steadily in the last decade - New entry and exit from the labor market have fallen, correlating with weaker productivity growth. Effect of 10% higher share of constrained firms: 0.75% less productive - Sectors with more credit-constrained firms show lower productivity in the report. Use of external data collection: By central banks and national statistical institutes - CompNet’s dataset is generated with inputs from national-level official institutions.

Pivotal Quotes: "The average growth in productivity in the EU held a peak more than 15 years ago, so in 2005" — Filippo Di Mauro: Explaining how long Europe’s productivity slowdown has persisted. "The more skewed is the productivity distribution and therefore the more critical is to perform firm level analysis" — Filippo Di Mauro: Justifying why firm-level data is essential for understanding policy needs. "What is ensuring the business survival? If the productivity results and prospects are the matrix of establishing who survives or not, all good" — Filippo Di Mauro: Describing the key policy principle for post-COVID recovery.

Implications: Europe’s recovery depends on letting productive firms grow, weak firms exit, and support remain conditional and temporary. Listeners should expect stronger attention to firm-level, regional, and competition policy rather than broad country averages.

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