Evidence map›Paper›PMID 39730852›Full record

ArticleScientific reports2024

Network structures and mitigation potential of trade linked global agricultural greenhouse gas emissions.

Kemeng Liu, Pengsu Wang, Bo Zhang, Kejia Yan, Ling Shao

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

5 authors.

Kemeng LiuSchool of Economics and Management, China University of Geosciences, Beijing, 100083, People's Republic of China.
Pengsu WangChina Academy of Urban Planning and Design, Beijing, 100044, People's Republic of China.
Bo ZhangSchool of Management, China Institute for Studies in Energy Policy, Xiamen University, Fujian, 361005, People's Republic of China. zhangbo@xmu.edu.cn.
Kejia YanSchool of Management, China Institute for Studies in Energy Policy, Xiamen University, Fujian, 361005, People's Republic of China.
Ling ShaoSchool of Economics and Management, China University of Geosciences, Beijing, 100083, People's Republic of China. shaoling@cugb.edu.cn.

Funding

National Key Research and Development Program 2022YFE0127500National Natural Science Foundation of China 72088101
6 · The paper itself

Abstract

Since agriculture is a major source of greenhouse gas emissions, accurately calculating these emissions is essential for simultaneously addressing climate change and food security challenges. This paper explores the critical role of trade in transferring agricultural greenhouse gas (AGHG) emissions throughout global agricultural supply chains. We develop a detailed AGHG emission inventory with comprehensive coverage across a wide range of countries and emission sources at first. Utilizing this inventory, the multi-regional input-output analysis is integrated with the complex network analysis to specifically reveal the characteristics of global AGHG flow networks. Finally, scenario analyses reflecting current trends and policy changes in global agriculture are conducted to investigate the emission reduction potential of different networks. The results show that the community division and characteristics of different AGHG networks vary, with more communities in the rice-CH

Indexed as

AGHG emissionsInternational trade networkMitigation potentialMulti-regional input-output analysis

Identifiers

PMID39730852
PMCPMC11681232

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.