Evidence map›Paper›PMID 34707331›Full record

ArticleTransport policy2021

The economic impacts of traffic consumption during the COVID-19 pandemic in China: A CGE analysis.

Qiang Zhang, Qiong Tong

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

2 authors.

Qiang ZhangSchool of Economic and Management, Beijing Jiaotong University, Beijing, China.
Qiong TongSchool of Economic and Management, Beijing Jiaotong University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transportation sector has played an important role during the COVID-19 pandemic. Like many industries, it experienced a sharp decline during the pandemic. The reduced traffic consumption has been caused by objective conditions, such as traffic control measures, and subjective factors, such as the perception of the COVID-19 pandemic. This study uses the computable general equilibrium (CGE) model to examine the economic impacts of traffic consumption during the COVID-19 pandemic in China. Moreover, to evaluate the impact of the government's economic stimulus policy related to transportation, this study examines the policy effects of transportation investment. This study suggests that, first, China's macroeconomy has been severely affected by reduced traffic consumption. The period when the pandemic was most severe had the largest GDP decrease (0.49%). Second, transportation consumption is closely associated with the output of all industries. As the pandemic worsens, the output of all sectors declines more. Of the transport sectors, road transport has the largest output decrease (10.17%), followed by railway (1.76%) and air sectors (1.53%). The service industry is the most negatively affected among the non-transportation sectors. Finally, transportation infrastructure investment can effectively promote the economy and create jobs. In addition, railway investment plays a more positive role in the economy than road and air transports. The findings provide a detailed understanding of the economic impact of the significantly reduced traffic consumption at different stages of the pandemic.

Indexed as

CGE modelCOVID-19Economic impactsTraffic consumption

Identifiers

PMID34707331
PMCPMC8532030

What OpenQuestion holds

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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.