Evidence map›Paper›PMID 34819496›Full record

ArticleNature communications2021

Breaking down barriers on PV trade will facilitate global carbon mitigation.

Mudan Wang, Xianqiang Mao, Youkai Xing, Jianhong Lu, Peng Song, Zhengyan Liu, Zhi Guo, Kevin Tu, Eric Zusman

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 59 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Mudan WangSchool of Environment, Beijing Normal University, Xinjiekouwai Street No. 19, Beijing, 100875, PR China.ORCID http://orcid.org/0000-0003-4922-4075
Xianqiang MaoSchool of Environment, Beijing Normal University, Xinjiekouwai Street No. 19, Beijing, 100875, PR China. maoxq@bnu.edu.cn.ORCID http://orcid.org/0000-0001-5924-8180
Youkai XingSchool of Environment, Beijing Normal University, Xinjiekouwai Street No. 19, Beijing, 100875, PR China.
Jianhong LuSchool of Environment, Beijing Normal University, Xinjiekouwai Street No. 19, Beijing, 100875, PR China.
Peng SongSchool of Public Policy and Administration, Chongqing University, Shazheng Street No. 174, Chongqing, 400044, PR China. songpeng_ee@cqu.edu.cn.ORCID http://orcid.org/0000-0002-1659-2560
Zhengyan LiuCenter for Global Environmental Policy, Beijing Normal University, Xinjiekouwai Street No. 19, Beijing, 100875, PR China.
Zhi GuoSchool of Environment, Beijing Normal University, Xinjiekouwai Street No. 19, Beijing, 100875, PR China.
Kevin TuCenter on Global Energy Policy at Columbia University SIPA, 1255 Amsterdam Avenue, New York, NY, 10027, USA.
Eric ZusmanInstitute for Global Environmental Strategies, 2108-11 Kamiyamaguchi Hayama, Kanagawa, Japan.
Beijing Normal University · CNChongqing University · CNColumbia University · USNational Institute for Environmental Studies · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global trade of solar photovoltaic (PV) products substantially contributes to increases in solar power generation and carbon emissions reductions. This paper depicts global PV product trade patterns, explores emissions reduction potential, and evaluates the impeding effect of tariff barriers on global PV product trade and emissions reductions. Solar power generation will result in a reduction of emissions in a range of 50-180 gigatons of carbon dioxide equivalent (GtCO

Identifiers

PMID34819496
PMCPMC8613243
OpenAlexW3216944666

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.