Evidence map›Paper›PMID 34481817›Full record

ArticleEnvironmental research2022

Underestimated impact of the COVID-19 on carbon emission reduction in developing countries - A novel assessment based on scenario analysis.

Qiang Wang, Shuyu Li, Rongrong Li, Feng Jiang

Abstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Does medical waste research during COVID-19 meet the challenge induced by the pandemic to waste management?Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2024
    Pooled it
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  9. The impact of COVID-19 on economy, air pollution and income: evidence from China.Stochastic environmental research and risk assessment : research journal · 2023
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  12. Urban Air Pollution and Greenness in Relation to Public Health.Journal of environmental and public health · 2023
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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.

Qiang WangSchool of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China. Electronic address: wangqiang7@upc.edu.cn.
Shuyu LiSchool of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China.
Rongrong LiSchool of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China.
Feng JiangSchool of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing studies on the impact of the COVID-19 pandemic on carbon emissions are mainly based on inter-annual change rate of carbon emissions. This study provided a new way to investigate the impact of the pandemic on carbon emissions by calculating the difference between the pandemic-free carbon emissions and the actual carbon emissions in 2020 based on scenario analysis. In this work, derived from Autoregressive Integrated Moving Average (ARIMA) method and Back Propagation Neural Network (BPNN) method, two combined ARIMA-BPNN and BPNN-ARIMA simulation approaches were developed to simulate the carbon emissions of China, India, U.S. and EU under the pandemic-free scenario. The average relative error of the simulation was about 1%, which could provide reliable simulation results. The scenario simulation of carbon emission reduction in the US and EU were almost the same as the inter-annual change rate of carbon emissions reported by the existing statistics. However, the scenario simulation of carbon emission reduction in China and India is 5% larger than the inter-annual change rate of carbon emissions reported by the existing statistics. In some sense, the impact of the pandemic on carbon emission reduction in developing countries might be underestimated. This work would provide new sight to more comprehensive understanding of the impact of the pandemic on carbon emissions.

Indexed as

COVID-19PandemicsCarbonChinaDeveloping CountriesHumansSARS-CoV-2CarbonArtificial intelligenceCarbon emissionsCOVID-19Developed and developing economiesPandemic-free scene

Identifiers

PMID34481817
PMCPMC9749383

What OpenQuestion holds

Textmetadata
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.