Evidence map›Paper›PMID 39472564›Full record

ArticleNature communications2024

Selected social impact indicators influenced by materials for green energy technologies.

Saeed Rahimpour, Mohammad El-Wali, Iryna Makarava, Hanna L Tuomisto, Mari Lundström, Andrzej Kraslawski

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Saeed RahimpourHydrometallurgy and Corrosion, Circular Raw Materials Hub, Department of Chemical and Metallurgical Engineering (CMET), School of Chemical Engineering, Aalto University, Espoo, Finland. saeed.rahimpour@aalto.fi.ORCID http://orcid.org/0000-0003-3430-0741
Mohammad El-WaliDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland. mohammad.el-wali@helsinki.fi.ORCID http://orcid.org/0000-0003-4577-4299
Iryna MakaravaHydrometallurgy and Corrosion, Circular Raw Materials Hub, Department of Chemical and Metallurgical Engineering (CMET), School of Chemical Engineering, Aalto University, Espoo, Finland.
Hanna L TuomistoDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-5971-8354
Mari LundströmHydrometallurgy and Corrosion, Circular Raw Materials Hub, Department of Chemical and Metallurgical Engineering (CMET), School of Chemical Engineering, Aalto University, Espoo, Finland.
Andrzej KraslawskiSchool of Engineering Science, Industrial Engineering and Management (IEM), LUT University, Lappeenranta, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The social risks of green energy transition are underexplored. One of the important questions is which materials used in green energy technologies offer the greatest social benefits, such as ensuring decent living conditions, and which pose the most social risks. To address this issue, we develop a dynamic material-energy flow model integrating system dynamics, social life cycle assessment, and geometallurgical approaches. The analysis focuses on critical materials: Rare Earth Elements, Nickel, Silicon, Graphite, Magnesium, Gallium, Germanium, Indium, Aluminum, Cobalt, Lithium, Zinc, and Tellurium used in wind turbines, electric vehicles, lithium-ion batteries and solar photovoltaic panels. We assess their social impact on work safety, gender equality, informal employment, labor income share, employment rate, and child labor-key issues addressed by Sustainable Development Goals 1, 5, and 8. Here we show that Aluminum production for electric vehicles, wind turbines and solar photovoltaic panels generates the most jobs and income opportunities, while extraction of Cobalt, Lithium, Silicon, and Zinc carry the highest social risks.

Identifiers

PMID39472564
PMCPMC11522319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.