Evidence map›Paper›PMID 35291256›Full record

ArticleApplied energy2022

The impact of online education on carbon emissions in the context of the COVID-19 pandemic - Taking Chinese universities as examples.

Zhaohui Yin, Xiaomeng Jiang, Songyue Lin, Jin Liu

Abstract read
In one paragraph

Article in Applied energy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

4 authors.

Zhaohui YinInstitute of Education Sciences, Wuhan University, Room 332, Yage Building, Luojia Hill, Wuchang, Wuhan 430072, Hubei, China.
Xiaomeng JiangInstitute of Education Sciences, Wuhan University, Room 332, Yage Building, Luojia Hill, Wuchang, Wuhan 430072, Hubei, China.
Songyue LinFaculty of Education, The Chinese University of Hong Kong, Room 606, Chen Kou Bun Building, Hong Kong 999077, China.
Jin LiuSchool of Humanities and Social Sciences, Beijing Institute of Technology, Room 411, Central Building, South Street of Zhongguancun, Haidian, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the COVID-19 pandemic has had various impacts on economic and social development, it may have partially reduced human energy use, thereby helping achieve the goals of reducing carbon emissions and promoting carbon neutrality. During the pandemic, online education was widely used to replace traditional education all over the world. There is a lack of empirical studies on whether and to what extent the change of education model can reduce carbon emissions. Taking Chinese universities as cases, this study, concentrating on two main elements - transportation and electricity consumption - constructs a model and calculates the impact of online education on carbon emissions. The results show that online education can significantly reduce energy consumption and lower carbon emissions. In the field of higher education alone, the carbon emissions reduction caused by online education in half a year is equivalent to the total carbon emissions reduction of college students caused by online education during the half-year is equivalent to the total carbon emissions in 1.296 h in China, 2.688 h in the United States, 5.544 h in India, 12 h in Japan and 3.864 h in European countries of OECD. Therefore, this study suggests that the impact of online education on carbon emissions should be further studied, online education should be promoted through legislation and other systemic measures, and the goals of carbon emissions and carbon neutrality should be explored further within the field of education.

Indexed as

Carbon emissionsCarbon neutralityChinese universitiesCOVID-19 pandemicElectricity consumptionOnline education

Identifiers

PMID35291256
PMCPMC8913334

What OpenQuestion holds

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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.