Is Europe falling behind the United States?

Productivity
Inequalities
USA
Europe
Author
Published

May 21, 2025

According to the Draghi report (Draghi, 2024) Europe is falling behind. The usual sectoral analysis diagnoses a technological lag that can be linked to structural factors. Macroeconomic analysis, on the other hand, points to a poor combination of macroeconomic policies. We propose here an analysis from the point of view of individual incomes and their distribution. From the point of view of the poorest 50%, Europe is a more attractive model than the United States. Spain’s trajectory is one of development that reduces inequality, while the Netherlands combines strong redistribution with shared growth. France has managed to maintain a fairly egalitarian model (at the cost of high taxation of the richest 1%), while the United States is marked by extreme polarisation. Strong growth in the United States mainly benefits the richest and the very rich, leaving a large part of the population on the sidelines without any trickle-down benefits.

The Draghi report

Published in spring 2024, the Draghi report (Draghi, 2024) report reiterated some well-known facts. Since the financial crisis of 2008, Europe (in this case, the Eurozone) has been lagging behind the United States when Gross Domestic Product in volume terms (i.e. adjusted for inflation) is used.1) and in purchasing power parity (i.e. comparable between geographical areas2) and per capita (i.e. adjusted for demographics3) as an indicator (Figure 1). While the gap between the United States and the Eurozone was only 14% in 2008, more or less constant since the creation of the Eurozone, it is now (in 2024) 25%. Slowly, at a rate of just over half a point (0.7) a year, the Eurozone seems to be losing ground.

1 The data considered are therefore GDP in value, divided by the GDP deflator, which may differ from consumer price indices. Numerous reservations apply to deflators and in particular to their use for international comparisons, due to the fact that methods are not standardised between statistical institutes.

2 The method consists of using for a base year (here 2021) the purchasing power parity indices constructed by the World Bank from the value of baskets of identical goods and services in different countries. PPP indices are not constructed in the same way as national accounts deflators. It is assumed that these differences in method are of a lesser order of magnitude than the changes measured.

3 There is still a significant demographic difference between the countries, since we are not taking into account the division of the population into active and inactive (young people, senior citizens, adults inactive).

Figure 1: Average GDP per capita

The contrast within the Eurozone is significant, between the Netherlands (a gap of 7% with the USA in 2024) and Spain (a gap of 36%). It is since 2008 that things have come into play (relative tab to the USA on Figure 1), even if for some countries (France and Italy in particular) the gap occurred earlier (early 1990s, partly for demographic reasons).

Since 2008, the Netherlands has lost 12 points of GDP per capita relative to the United States, Germany and France 11 points, Italy and Spain 16 and 10 points respectively (10 points for the Eurozone). It is the simultaneity of this trend that makes it striking, especially as it is not limited to the Eurozone (or the EU), as the trajectories of Switzerland and the UK indicate.

Many explanations have been put forward to explain the downturn since 2008. These include

  • A “Keynesian” explanation, according to which the macroeconomic policies pursued after the 2008 financial crisis and the consequences of the sovereign debt crisis in the Eurozone led to private and public under-investment and oversaving on the continent, leading to an increase in the net external position and a greater relative reduction in public debt in the Eurozone than elsewhere (Blot, Feltz and Plane, 2025 ; see Timbeau et al., 2019). The health crisis of 2020 may have had different consequences, accentuating the divergent trajectories since 2008.

  • A structural explanation lies in the incompleteness of the Eurozone, and in particular financial fragmentation, the absence of an integrated capital market, too great an importance of bank credit in business financing, insufficient competition on the goods and services markets, and a pile of regulations preventing European businesses from investing and innovating and taking their place in technological competition (see Draghi, 2024).

  • In the same vein, the explanation that the cumbersome nature of the social system and the redistribution it implies are weighing on competitiveness (which does not explain the European current account surplus and generally applies only to France), the allocation of public spending resources and the negative effects on the labour supply leading, for example, the most productive people to leave Europe for other climes.

  • Energy prices. Several factors have played an important role: the development of shale gaz and oil in the US, the rise of the EU ETS carbon market (European Union Emission Trade System) and the price of carbon (mainly from the beginning of 2021, when the price of a tonne of CO2 goes from less than €20 to more than €70 over the long term (Epaulard et al., 2024)), dependence on energy imported from Russia (mainly for Germany), the consequences of which have been massive following Russia’s invasion of Ukraine (see Geerolf, 2022), and the Inflation Reduction Act (2022, see Landais et al., 2023). These lead to an energy price 3 times higher in Europe than in the United States (Draghi, 2024 ; Epaulard et al., 2024).

  • A technological explanation, according to which the stall is linked to a wave of innovation (digitalisation and network services, robotics, artificial intelligence, massive computing, but also in other sectors such as energy production (wind turbines, solar panels), electric batteries, biotechnologies), the heart of which lies between China and the United States. The gap in productivity is thus formed by the combination of a high-performing higher education system, an efficient innovation financing system, a large public-sector order book that completes a market capable of absorbing them, aggressive protectionism on these technologies and technologies that are partly characterised by significant network effects (Guillou et al., 2022 ; Nesta et al., 2025 ; OFCE-DRIC, 2016).

The income distribution approach

A few methodological remarks

The explanations given above share a diagnosis based on aggregate, or average, GDP, and for the most part focus on aggregate production or demand. However, income trends are also relevant in assessing an economy’s ability to provide an income for its citizens, and can be broken down by income category.

While income is the result of production and the remuneration of factors, other elements modify it, notably the contrib ution from the external account. Depending on the income category, the modification can also be significant. For the lowest incomes, redistribution (social benefits) net of contributions (direct and indirect taxes) increases primary income from earned income. For the highest incomes, redistribution is generally a net deduction from primary income. However, accumulated savings increase primary income from labour and contribute to income through capital income.

The titanic work accomplished by World Inequality Database (WID) researchers, with major contributions from Piketty, Saez and Zucman (2018), has enabled us to approach these concepts for many countries, in great depth and over a long period of time. The data provided by the WID even surpasses that available from national or international statistical institutes, and according to the authors themselves (https://wid.world/methodology/), the construction of such comprehensive data requires daring shortcuts. They justify these choices as a precursor to the concept, and want to encourage national statistical institutes to publish better data in order to make available all the information needed to understand changes in income inequality. In this way, the concept of distributed national accounts owes a great deal to WID researchers, and is being imposed on national accounts producers (André, Germain and Sicsic, 2023).

To provide a counterpoint to aggregate or sectoral trends, we use here the concepts of pre-tax income, i.e. the variable ptinc variable in the WID, which is close to primary income, but increased by deferred income (retirement pensions). By treating retirement pensions as income from work, pension contributions are not considered a levy (subsequently redistributed) but a saving, which is a welcome convention for international comparisons, since in many countries retirement savings are not considered compulsory even when they are taxed by the company. Income after taxation and distribution, the variable diinc variable in the WID, is a complex construct, close to the notion of adjusted disposable income, i.e. income minus taxes, including indirect taxes, and increased by public spending from which individuals benefit, whether this is individualisable and transferred in money, or collective and charged according to a series of conventions. Complexity, or the use of conventions, is not problematic, but at this stage, the choices made by the WID researchers are not fully discussed. We can only hope that the work undertaken will be continued and disseminated so that we can have as solid a basis for comparison as possible.

As with the aggregate data, we consider changes in value deflated (by the GDP deflator in general, not differentiated by income category), brought back to purchasing power parity (2023 as a reference year). As mentioned in the footnote, these choices mask methodological difficulties that remain unresolved at this stage, and add a few of their own, such as not differentiating price indices by income category when budget coefficients are heterogeneous.

The richer are falling behind

Figure 2: Post and pre-tax and redistribution income, different income groups