Evidence map›Paper›PMID 35034300›Full record

ArticleEnvironmental science and pollution research international2022

The knowledge dissemination trajectory research of the carbon footprint domain: a main path analysis.

Dejian Yu, Yitong Chen

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Dejian YuBusiness School, Nanjing Audit University, Nanjing, 211815, Jiangsu, China.
Yitong ChenSchool of Information Management, Nanjing University, Nanjing, 210023, Jiangsu, China. 18645686190@163.com.

Funding

Ministry of Education of Humanities and Social Science Project 19YJC630208Qinglan Project of Jiangsu Province of China 2019
6 · The paper itself

Abstract

The global warming caused by greenhouse gas emissions has received widespread attention from all around the world. In this regard, how to calculate the carbon footprint (CF) scientifically and accurately produced by human activities to achieve emission reduction goals has been widely discussed by scholars. In recent years, related research on this issue has increased, leading to a significant expand in the number of publications. It is necessary to excavate and summarize the current development status and possible future trends of this field based on quantitative methods. To achieve this goal, this paper develops a main path analysis (MPA) of the entire field and three research sub-topics (agriculture, energy fuels, and business economic) based on the 4973 papers extracted from Web of Science (WoS) database. The results show that the CF domain mainly focuses on optimizing the CF calculation methods from a theoretical perspective to improve the accuracy of estimation. Furthermore, scholars engaged in the agricultural research mainly focus on adjusting the life cycle assessment (LCA) model, which has advantage on microlevel CF accounting, according to actual needs to achieve more accurate predictions, while researchers who pay attention to the topic of business economic are committed to improving the input-output model, which is suitable for meso and macro analysis, to enhance accounting accuracy. In general, this article is beneficial for presenting the intellectual structure and knowledge diffusion trajectories of the CF domain from horizontal and vertical perspectives.

Indexed as

Carbon FootprintGreenhouse GasesAgricultureCarbonGlobal WarmingGreenhouse EffectHumansKnowledgeCarbonGreenhouse GasesBibliometric analysisCarbon footprint (CF)Citation analysisGreenhouse gas emissions (GHG)Knowledge diffusion trajectoryMain path analysis (MPA)

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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.