ArticleNature communications2023
Location is a major barrier for transferring US fossil fuel employment to green jobs.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Balancing energy, water, and ecology through renewable energy transitions in the Yellow River Basin.Nature communications · 2026Article
- Mitigating inequity risks in China's net-zero energy transition via an enhanced renewable-guided industrial spatial reconfiguration.Innovation (Cambridge (Mass.)) · 2026Article
- Simulating regional workforce impacts of decarbonizing integrated steelmaking.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Global spatiotemporal optimization of photovoltaic and wind power to achieve the Paris Agreement targets.Nature communications · 2025Article
- Climate adaptation plans and "green jobs": challenges for implementing a responsive, multi-skilled workforce in Worcester, Massachusetts.Frontiers in sociology · 2025Article
- Green skills gap-A way ahead.Frontiers in sociology · 2025Article
- Review of Silicon Recovery from Diamond Wire Saw Silicon Powder Waste Based on Hydrometallurgical Process.Molecules (Basel, Switzerland) · 2024Review
- Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula.Scientific data · 2024Article
- Higher labor intensity in US automotive assembly plants after transitioning to electric vehicles.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The green energy revolution may displace 1.7 million fossil fuel workers in the US but a Just Transition to emerging green industry jobs offers possibilities for re-employing these workers. Here, using 14 years of power plant data from the US Energy Information Administration, job transition data from the Census Bureau, as well as employment and skills data from the Bureau of Labor Statistics, we assess whether people employed in fossil fuel resource extraction today are co-located and have the transferable skills to switch to expected green jobs. We find that these workers could leverage their mobility to other industries and have similar skills to green occupations. However, today's fossil fuel extraction workers are not co-located with current sources of green energy production. Further, after accounting for federal employment projections, fossil fuel extraction workers are mostly not located in the regions where green employment will grow despite attaining the appropriate skillsets. These results suggest a large barrier to a Just Transition since fossil fuel extraction workers have not historically exhibited geospatial mobility. While stakeholders focus on re-skilling fossil fuel extraction workers, this analysis shows that co-location with emerging green employment will be the larger barrier to a Just Transition.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.