Evidence map›Paper›PMID 33551584›Full record

ArticleTransport policy2021

The impacts of COVID-19 pandemic on China's transport sectors based on the CGE model coupled with a decomposition analysis approach.

Qi Cui, Ling He, Yu Liu, Yanting Zheng, Wei Wei, Bo Yang, Meifang Zhou

Open access · greenAbstract read
In one paragraph

Article in Transport policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
34.3field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 126 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Qi CuiBeijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing, 100875, China.
Ling HeBeijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing, 100875, China.
Yu LiuInstitute of Science and Development, Chinese Academy of Sciences, Beijing, 100190, China.
Yanting ZhengBeijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing, 100875, China.
Wei WeiManagement Academy of China Cooperatives, Beijing, 100028, China.
Bo YangSchool of Economy and Trade, Zhengzhou University of Aeronautics, Henan, Zhengzhou, China.
Meifang ZhouSchool of Economics, Beijing Technology and Business University, Beijing, 100048, China.
Beijing Normal University · CNBeijing Technology and Business University · CNChina Federation of Supply and Marketing Cooperatives · CNChinese Academy of Sciences · CNZhengzhou University of Aeronautics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most vulnerable sectors exposed to the COVID-19 pandemic, transport sectors have been severely affected. However, the shocks and impact mechanisms of infectious diseases on transport sectors are not fully understood. This paper employs a multi-sectoral computable general equilibrium model of China, CHINAGEM, with highly disaggregated transport sectors to examine the impacts of the COVID-19 pandemic on China's transport sectors and reveal the impact mechanisms of the pandemic shocks with the decomposition analysis approach. This study suggests that, first, multiple shocks of the COVID-19 pandemic to transport sectors are specified, including the supply-side shocks that raised the protective cost and reduced the production efficiency of transport sectors, and the demand-side shocks that reduced the demand of households and production sectors for transportation. Second, the outputs of all transport sectors in China have been severely affected by the COVID-19 pandemic, and passenger transport sectors have larger output decreases than freight transport sectors. While the outputs of freight transport sectors are expected to decline by 1.03-2.85%, the outputs of passenger transport sectors would decline by 3.08-11.44%. Third, with the decomposition analysis, the impacts of various exogenous shocks are quite different, while the changes in the output of different transport sectors are dominated by different exogenous shocks. Lastly, while the supply-side shocks of the pandemic would drive output decline in railway, waterway, and aviation transport sectors, the demand-side shocks would drive so in the road, pipeline, and other transport sectors. Moreover, the COVID-19 pandemic has negative impacts on the output of most non-transport sectors and the macro-economy in China. Three policy implications are recommended to mitigate the damages caused by the COVID-19 pandemic to the transport sectors.

Indexed as

CGE modelChinaCOVID-19 pandemicDecomposition analysisTransport sectors

Identifiers

PMID33551584
PMCPMC7849519
OpenAlexW3128445746

What OpenQuestion holds

Textmetadata
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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.