Evidence map›Paper›PMID 42694261›Full record

ArticleNature climate change2023

Distributional labour challenges and opportunities for decarbonizing the US power system.

Judy Jingwei Xie, Melissa Martin, Joeri Rogelj, Iain Staffell

Abstract read
In one paragraph

Article in Nature climate change, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Judy Jingwei XieCentre for Environmental Policy, Imperial College London, London, UK.ORCID 0000-0002-6591-2436
Melissa MartinCentre for Environmental Policy, Imperial College London, London, UK.
Joeri RogeljCentre for Environmental Policy, Imperial College London, London, UK.ORCID 0000-0003-2056-9061
Iain StaffellCentre for Environmental Policy, Imperial College London, London, UK.ORCID 0000-0003-1012-7075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transition towards a low-carbon power system presents challenges and opportunities for the workforce with important implications for just transitions. Studies of these distributional labour impacts could benefit from tighter linkages between energy and employment modelling. Here, we couple a power-sector optimization model, an employment impact model and demographic databases to understand state-level job characteristics and the societal implications of low-carbon transitions in the US. Although decarbonization brings consistent job growth, it heightens the need for investment in human capital and supply chain restructuring. Major fossil fuel-producing states need to prepare for fewer mining jobs under the US Long-Term Strategy, so other opportunities should be created or seized. The lowest-skilled workers will experience more uncertain employment outcomes. Expanding renewable energy could improve opportunities for women in fossil fuel-dependent states, but not enough to disrupt the national gender status quo. This work provides a new quantitative perspective to inform proactive just transition policies.

Indexed as

Climate-change mitigationEnergy economicsEnergy justiceEnergy modellingEnergy policy

Identifiers

PMID42694261
PMCPMC13538061

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.