Evidence map›Paper›PMID 36981902›Full record

ArticleInternational journal of environmental research and public health2023

Can Stringent Government Initiatives Lead to Global Economic Recovery Rapidly during the COVID-19 Epidemic?

Lizheng Ma, Congzhi Zhang, Kai Lisa Lo, Xiangyan Meng

Full text read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
–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

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

4 authors.

Lizheng MaSchool of Marxism, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.
Congzhi ZhangSchool of Economics and Management, Shanghai Maritime University, 1550 Haigang Road, Shanghai 201306, China.
Kai Lisa LoSchool of Economics and Management, Shanghai Maritime University, 1550 Haigang Road, Shanghai 201306, China.ORCID 0000-0001-5326-1691
Xiangyan MengSchool of Economics and Management, Shanghai Maritime University, 1550 Haigang Road, Shanghai 201306, China.ORCID 0000-0002-3478-2499

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates the effectiveness of government measures implemented against COVID-19 and the factors influencing a country's economic growth from a global perspective. With the help of the data of the Government Response Stringency Index (GRSI), Google mobility, and confirmed COVID-19 daily cases, we conducted a panel model for 105 countries and regions from 11 March 2020 to 31 June 2021 to explore the effects of response policies in different countries against the pandemic. First, the results showed that staying in residential places had the strongest correlation with confirmed cases. Second, in countries with higher government stringency, stay-at-home policies carried out in the early spread of the pandemic had the most effective the impact. In addition, the results have also been strictly robustly analyzed by applying the propensity score matching (PSM) method. Third, after reconstructing a panel data of 47 OECD countries, we further concluded that governments should take stricter restrictive measures in response to COVID-19. Even though it may also cause a shock to the market in the short term, this may not be sustainable. As long as the policy response is justified, it will moderate the negative effect on the economy over time, and finally have a positive effect.

Indexed as

COVID-19DriveEconomic DevelopmentGovernmentHumansPandemicsCOVID-19economic recoverygovernment response stringency index

Identifiers

PMID36981902
PMCPMC10049032

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read17
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.