Evidence map›Paper›PMID 41866389›Full record

ArticleScientific reports2026

Accounting carbon emission and proposals for their reduction at a university campus in China.

Jianfei Liu, Xinyu Mao, Huihui Wang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jianfei LiuSchool of civil engineer, Henan Polytechnic University, Jiaozuo, 454000, China. jzitljf@foxmail.com.ORCID http://orcid.org/0000-0003-1532-3534
Xinyu MaoSchool of civil engineer, Henan Polytechnic University, Jiaozuo, 454000, China.
Huihui WangSchool of civil engineer, Henan Polytechnic University, Jiaozuo, 454000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of global sustainable development, various industries actively account for their carbon emission to address climate change effectively. University campuses should also actively participate in this pursuit. The carbon emission calculation method introduced by the Greenhouse Gas Protocol was applied in the paper, with Henan Polytechnic University's south campus being used as a case study. Energy and food consumption data were collected from the school's relevant offices, and other data were obtained through questionnaires and multiplied by the corresponding carbon emission factors to calculate the carbon emission of the campus in 2019. Results showed that the carbon emission were 65327.44 tons, with a per capita of 1.51 tons. The analysis revealed that electricity and heating systems constituted the primary contributors to carbon emission. Heating emission profiles exhibited pronounced seasonal dependency, while electricity carbon emission ‌varied‌ across different functional areas. Two innovative findings were established: carbon transfer from transportation to the building sector was driven by accelerated electric vehicle adoption, and a context-specific energy coupling system was proposed, with emission reductions being quantified through localized analysis. The context-specific short-term and long-term carbon reduction solutions are proposed. The carbon emission accounting conducted and targeted carbon reduction measures proposed in this study are considered to provide not only a reference path for universities to achieve carbon neutrality but also a theoretical foundation and methodological guidance for carbon emission reduction.

Indexed as

Carbon emission calculationCarbon transferEmission reduction measuresUniversities

Identifiers

PMID41866389
PMCPMC13153179

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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.