Evidence map›Paper›PMID 41163641›Full record

ArticleCommunications earth & environment2025

Carbon footprint of the construction sector is projected to double by 2050 globally.

Chaohui Li, Prajal Pradhan, Guoqian Chen, Jürgen P Kropp, Hans Joachim Schellnhuber

Abstract read
In one paragraph

Article in Communications earth & environment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Chaohui LiLaboratory of Systems Ecology and Sustainability Science, Peking University, Beijing, China.ORCID 0000-0002-3951-7141
Prajal PradhanPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0003-0491-5489
Guoqian ChenLaboratory of Systems Ecology and Sustainability Science, Peking University, Beijing, China.ORCID 0000-0003-1173-6796
Jürgen P KroppPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0001-7791-3420
Hans Joachim SchellnhuberBauhaus Earth, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving the Paris Agreement's goals of holding global temperature rise well below 2 °C with efforts to limit it to 1.5 °C requires rapid reductions in greenhouse gas emissions. The built environment embodies substantial emissions, posing a challenge to meeting these goals. We quantify the carbon cost of constructing the global built-environment over the past three decades and project it to 2050. Our findings indicate that the global construction carbon footprint has doubled over the past three decades and is projected to more than double by 2050. In 2022, over half of the construction industry's carbon emissions stemmed from cementitious materials, bricks, and metals, while glass, plastics, chemicals, and bio-based materials contributed 6%, and the remaining 37% arose from transport, services, machinery, and on-site activities. Under the business-as-usual scenario, the construction carbon footprint alone will exceed the per-annum carbon budget for the 1.5 °C and 2 °C goals in the next two decades. It will use up all remaining carbon budget for the 1.5 °C goal by 2050, as our analysis highlights. Therefore, we advocate for a material revolution, such as replacing traditional materials with biobased materials, which leverages economies of scale and paves the way for a transformative and sustainable future in construction.

Indexed as

Environmental impactEnvironmental studies

Identifiers

PMID41163641
PMCPMC12559003

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.