Evidence map›Paper›PMID 34846663›Full record

ArticleEnvironmental science and pollution research international2022

Exploring the effect of COVID-19 on airline environmental efficiency through an interval epsilon-based measure model.

Ye Li, Xing-Chun Huang, Qiang Cui

Abstract read
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. Not yet cited in PubMed.

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

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

3 authors.

Ye LiSchool of Business Administration, Nanjing University of Finance and Economics, Nanjing, 210023, China.
Xing-Chun HuangSchool of Business Administration, Nanjing University of Finance and Economics, Nanjing, 210023, China.
Qiang CuiSchool of Economics and Management, Southeast University, Nanjing, 211189, China. cuiqiang@seu.edu.cn.ORCID http://orcid.org/0000-0003-3013-5769

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has dealt an unprecedented blow to the aviation industry since 2020. This paper applies the interval epsilon-based measure (IEBM) model to evaluate the optimal quarterly environmental efficiency of 14 global airlines of passenger and cargo subsystems during 2018-2020. Then, the time series prediction method is applied to forecast the interval data of inputs and outputs from 2021 to 2022. Finally, we can calculate the quarterly efficiency. Thus, the future development trends of airlines can be predicted. The results show that (1) COVID-19 has hit the passenger subsystem harder, while the freight subsystem has become more efficient; (2) the efficiency of the freight subsystem has inevitably declined in the post-epidemic era; and (3) therefore, the airlines will have a "√" shaped recovery curve in the next few years.

Indexed as

AviationCOVID-19EfficiencyHumansIndustryAirline environmental efficiencyInterval epsilon-based measure modelParallel systemTime series prediction

Identifiers

PMID34846663
PMCPMC8630516

What OpenQuestion holds

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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.