Evidence map›Paper›PMID 39846442›Full record

ArticleEnvironmental science & technology2025

Greenhouse Gas Emissions and Decarbonization Potential of Global Fired Clay Brick Production.

Josefine A Olsson, Hisham Hafez, Sabbie A Miller, Karen L Scrivener

Abstract read
In one paragraph

Article in Environmental science & technology, 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
  2. Urban waste to construction material: Casuarina equisetifolia cone ash in coating mortars.Environmental science and pollution research international · 2026
    Article
  3. Article
  4. 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

4 authors.

Josefine A OlssonDepartment of Civil and Environmental Engineering, University of California, Davis, California 95616, United States.ORCID 0000-0001-7192-6546
Hisham HafezSchool of Civil Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom.
Sabbie A MillerDepartment of Civil and Environmental Engineering, University of California, Davis, California 95616, United States.ORCID 0000-0001-6888-7312
Karen L ScrivenerLaboratory of Construction Materials, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fired clay bricks (FCBs) are a dominant building material globally due to their low cost and simplicity of production, especially in low- and middle-income countries. With a projected rising housing demand, commensurate growth in brick demand is anticipated, the production of which could result in significant greenhouse gas (GHG) emissions. Robust models are needed to estimate brick demand and emissions to systematically address decarbonization pathways. Few sources report production values; hence, we present two novel proxy models: (i) a consumption prediction model, relying on country-specific clay extraction data, dynamic building stock modeling, and average material intensity use allowing for projections to 2050; and (ii) a GHG emissions model, using literature-based data and production technology-specific inputs. Based on these models, the current global FCB consumption is estimated as 2.18 Gt annually, resulting in approximately 500 million tCO

Indexed as

Construction MaterialsGreenhouse GasesAluminum SilicatesClayGreenhouse EffectModels, TheoreticalAluminum SilicatesClayGreenhouse GasesBrick productionDecarbonization potentialFired clay brickLow-carbon constructionMaterial demand mapping

Identifiers

PMID39846442
PMCPMC11800390

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.