Evidence map›Paper›PMID 37146235›Full record

ArticleEnvironmental science & technology2023

Decomposition Analysis of the Carbon Footprint of Primary Metals.

Kajwan Rasul, Edgar G Hertwich

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology, 2023. 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
3.1field-weighted citation impact, top 9% of its field
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, 25 citations in OpenAlex.

  1. Article
  2. Material and Carbon Footprints of Machinery Capital.Environmental science & technology · 2023
    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

2 authors at 1 institution in 1 country.

Kajwan RasulIndustrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology, Høgskoleringen 1, Trondheim 7034, Norway.ORCID 0000-0001-9853-4032
Edgar G HertwichIndustrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology, Høgskoleringen 1, Trondheim 7034, Norway.ORCID 0000-0002-4934-3421
Norwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates how different technological and socioeconomic drivers have impacted the carbon footprint of primary metals. It analyzes the historical evidence from 1995 to 2018 using new metal production, energy use, and greenhouse gas (GHG) emission extensions made for the multiregional input-output model EXIOBASE. A combination of established input-output methods (index decomposition analysis, hypothetical extraction method, and footprint analysis) is used to dissect the drivers of the change in the upstream emissions occurring due to the production of metals demanded by other (downstream) economic activities. On a global level, GHG emissions from metal production have increased at a similar pace as the GDP but have decreased in high-income countries in the most recent 6 year period studied. This absolute decoupling in industrialized countries is mainly driven by reduced metal consumption intensity and improved energy efficiency. However, in emerging economies increasing metal consumption intensity and affluency have driven up emissions, more than offsetting any reductions due to improved energy efficiency.

Indexed as

Carbon FootprintGreenhouse GasesCarbonCarbon DioxideEconomic DevelopmentMetalsCarbonCarbon DioxideGreenhouse GasesMetalsaluminumcopperenergy intensity of metal productionenvironmental Kuznets curve (EKC)global supply chainiron and steelmineral resourcesnonferrous metals

Identifiers

PMID37146235
PMCPMC10193522
OpenAlexW4372335609

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.