Evidence map›Paper›PMID 35223746›Full record

ArticleFrontiers in public health2022

Analysis of the Impact of Livestock Structure on Carbon Emissions of Animal Husbandry: A Sustainable Way to Improving Public Health and Green Environment.

Rubiao Shi, Muhammad Irfan, Guangliang Liu, Xiaodong Yang, Xufeng Su

RetractedAbstract readRetracted Publication
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  9. Sustainable impact of COVID-19 on education projects: aspects of naturalism.Environmental science and pollution research international · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Rubiao ShiSchool of Marxism, Xinjiang University, Urumqi, China.
Muhammad IrfanSchool of Management and Economics, Beijing Institute of Technology, Beijing, China.
Guangliang LiuSchool of Economics and Management, Xinjiang University, Urumqi, China.
Xiaodong YangSchool of Economics and Management, Xinjiang University, Urumqi, China.
Xufeng SuSchool of Economics and Management, Xinjiang University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon emissions of animal husbandry have been gaining increasing attention due to their high share in global carbon emissions. In this regard, it is essential to assess the regional differences, dynamic evolution patterns, convergence characteristics, and the impact of livestock structure on carbon emissions of animal husbandry. Using data from 30 provincial administrative regions from 2000 to 2018 in China, this study employs the Thiel index method, kernel density analysis, and convergence analysis to quantify the impact of livestock structure on carbon emissions of animal husbandry. The statistical results reveal that carbon emissions of animal husbandry exhibit a rising and declining trend. Specifically, the carbon emissions of animal husbandry are highest in agricultural areas (with a declining trend), followed by agro-pastoral areas (with a declining trend), and the pastoral areas (with a rising trend). It is further revealed that there are no δ convergence and β convergence of carbon emissions of animal husbandry. Finally, essential and useful policy recommendations are put forward to inhibit carbon emissions of animal husbandry.

Indexed as

CarbonLivestockAnimal HusbandryAnimalsChinaPublic HealthCarbonanimal husbandrycarbon emissiongeographical heterogeneitylivestock breedinglivestock structure

Identifiers

PMID35223746
PMCPMC8873578

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.