As Europe races to meet its climate goals under the Paris Agreement, the continent faces a complex challenge that extends far beyond emissions cuts and renewable energy targets. The shift to a low-carbon economy will reshape labor markets across the continent, putting millions of workers at risk of displacement while creating new opportunities in green industries. A new study reveals which jobs are most vulnerable, where they are located, and crucially, how much decarbonization technology could reduce the toll on workers.

The research offers the most detailed picture yet of how the transition will affect Europe's workforce, tracking exposure at the level of individual occupations and mapping impacts across nearly 200 regions. The findings carry urgent implications for policymakers trying to prevent the kind of economic disruption and political backlash that have derailed climate action in the past.

The Upper and Lower Bounds of Risk

The analysis examined 3,008 occupations and more than 13,500 skills across 27 European countries, using labor force survey data from 2019 to establish a baseline before the pandemic. Researchers developed a new classification system that goes beyond simply identifying jobs in emission-intensive industries. Instead, they distinguished between high-carbon occupations that can potentially be decarbonized through technological solutions and those that cannot.

This distinction matters enormously. In a scenario where all high-carbon jobs disappear regardless of decarbonization potential, Europe would lose 6.2 million jobs, or roughly 2.9 percent of the workforce. But when accounting for technologies that can reduce emissions without eliminating jobs, such as switching steel production to green hydrogen or adding carbon capture to cement plants, the number of at-risk jobs drops dramatically to 2.3 million, just 1.1 percent of total employment.

The difference of nearly 4 million jobs represents workers in occupations that can be preserved through what the researchers call viable-to-decarbonize pathways. These include jobs operating metal furnaces that could run on electricity instead of coal, or positions in chemical plants that could adopt carbon capture technology. By contrast, unviable-to-decarbonize jobs are tied to technologies and industries that will be phased out entirely, such as diesel engine mechanics and petroleum engineers working on fossil fuel extraction.

Where the Risks Concentrate

The geography of risk varies sharply across Europe. The highest concentrations of high-carbon jobs appear in Eastern European countries like the Czech Republic, Slovakia, and Hungary, as well as parts of Central Europe including northern Italy and southern and central Germany. The Czech region of Moravskoslezsko shows the highest share at 7.8 percent of its workforce, while the European average sits at 3.3 percent.

When narrowed to only the unviable-to-decarbonize category, the exposure map shifts. The Romanian region of Vest emerges with the highest share at 2.5 percent, while the Czech Republic's most affected region drops to 1.9 percent. A distinct belt of vulnerability stretches from Germany eastward to Romania, with shares hovering between 1 and 1.5 percent.

In absolute numbers, the manufacturing sector faces the largest impact with 900,000 unviable-to-decarbonize jobs, followed by construction with 500,000 and trade and repair with 100,000. But in relative terms, mining shows the most dramatic exposure at 10.6 percent of its workforce, compared to 3.7 percent in electricity and gas supply and 3.2 percent in construction.

The study also identified 4.2 million low-carbon jobs across Europe, representing 2 percent of the workforce. These positions span renewable energy installation, recycling, environmental consulting, and related fields. Their distribution follows different patterns, with notably high concentrations in Eastern European regions where agriculture, forestry, and waste management play larger economic roles.

The Skills Gap Problem

Beyond the numbers, the research uncovered a troubling skills dimension that could make transitions especially difficult for displaced workers. Those in unviable-to-decarbonize jobs possess significantly fewer skills on average compared to workers in other categories. At the median, these at-risk occupations require just 22 skills, versus 36 for neutral occupations and 35 for low-carbon ones.

More concerning still, the skills that at-risk workers do have tend to be less transferable. The researchers measured this using network analysis to identify which skills are most central and connected across many occupations. Skills with high centrality and broad co-occurrence make it easier for workers to switch to different jobs. Workers in low-carbon occupations have the most central skill profiles, giving them flexibility and resilience. Those in unviable-to-decarbonize jobs rank at the bottom, with skills that connect to fewer alternative occupations.

This skills gap presents a double challenge. Not only do at-risk workers need retraining, but the skills they currently possess offer limited bridges to new roles. The research provides a detailed occupation-by-occupation matrix showing skill overlap that could help policymakers identify realistic transition pathways and design targeted retraining programs.

Policy Targeting and Funding Gaps

The European Union launched its Just Transition Mechanism to cushion the social and economic impacts of the Green Deal, allocating 19.3 billion euros for the 2021-2027 budget period. Roughly half of this funding aims to support economic diversification and worker retraining in affected regions.

But the analysis reveals significant mismatches between labor market exposure and available support. The researchers compared each country's share of unviable-to-decarbonize jobs against the per-job funding it receives from the EU Just Transition Fund. Seven year investments per at-risk job range by a factor of 13, from roughly 4,800 euros in Italy to 64,500 euros in Estonia, with an average of 17,700 euros.

Three countries face particular challenges. Germany and Hungary both show above average shares of at-risk jobs but receive below average funding per worker. France falls into the same quadrant. While Germany and France may be able to mobilize additional domestic resources given their higher GDP per capita, Hungary faces both high exposure and limited fiscal capacity to supplement EU support.

Eastern European countries including Romania, Slovakia, the Czech Republic, Croatia, and Estonia also have above average exposure, but they receive above average EU funding, placing them in a medium risk category. Several Western European countries show below average exposure on both dimensions.

Why Decarbonization Technology Matters

The finding that technological decarbonization could protect nearly 4 million jobs carries major implications. For steel production, this means rapidly deploying carbon capture and storage, switching to hydrogen-based direct reduction, or transitioning to electric arc furnaces. For cement and chemicals, it means carbon capture, alternative fuels, and process innovations. For power generation, it means accelerating the shift to renewables and phasing out coal plants in a managed way.

Without these technological transitions, entire industrial sectors face contraction or relocation. With them, emission-intensive production can continue in decarbonized form, preserving jobs and local economies while meeting climate targets. The difference is not academic. Unmanaged transitions, such as sudden factory closures or trade shocks, produce persistent earnings losses, regional economic decline, reduced life expectancy, and political backlash against climate policy.

The researchers emphasize that their analysis focuses on near term developments and does not forecast precise job losses. Instead, it maps first order exposure based on current employment patterns and foreseeable technology pathways. It assumes that overall demand for goods and services remains stable, that demand disappears for products without decarbonization options, and that labor demand increases for low-carbon occupations while decreasing for unviable-to-decarbonize roles.

Limitations and Future Directions

The study faces data constraints that limit precision. European labor force surveys use coarser occupational categories than the detailed ESCO taxonomy of occupations and skills, requiring aggregation that masks some variation. Several large countries, including Poland, lack sufficiently granular data and could not be included in regional analysis. The classification relies on expert judgment alongside quantitative indicators, introducing subjective elements despite validation by 18 specialists who showed 90 percent agreement on unviable-to-decarbonize categories and 88 percent on low-carbon ones.

The researchers call for three priority areas in future work. First, labor force surveys should match the detail level of occupational frameworks, ideally reaching the four digit level of international occupation classifications. Second, scholars should investigate specific retraining pathways and occupational mobility options for at-risk workers, using dynamic modeling to understand how much targeted support could reduce displacement. Third, research needs to map not just jobs at risk but also job creation potential across low-carbon technology supply chains, including wind and solar energy, batteries, and critical mineral extraction.

The transition to a low-carbon economy is inevitable if Europe intends to meet its climate commitments. But the human and political costs need not be. This research provides the geographic and occupational detail needed to target support where it matters most, deploy decarbonization technology strategically, and design retraining programs matched to actual skills and opportunities. Whether policymakers use these insights effectively will determine whether Europe achieves a truly just transition or leaves millions of workers behind.

Credit & Disclaimer: This article is a popular science summary written to make peer-reviewed research accessible to a broad audience. All scientific facts, findings, and conclusions presented here are drawn directly and accurately from the original research paper. Readers are strongly encouraged to consult the full research article for complete data, methodologies, and scientific detail. The article can be accessed through https://doi.org/10.1016/j.joule.2024.101813