Evidence map›Paper›PMID 39584076›Full record

ArticleHeliyon2024

The COVID-19 pandemic and economic recovery: The mediating role of governance, a global perspective.

Regret Sunge, Calvin Mudzingiri, Nkosingiphile Mkhize

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Regret SungeUniversity of the Free State, Afromontane Research Unit, Faculty of Economic and Management Sciences, Department of Economics and Finance, South Africa.
Calvin MudzingiriUniversity of the Free State, Afromontane Research Unit, Faculty of Economic and Management Sciences, Department of Economics and Finance, South Africa.
Nkosingiphile MkhizeUniversity of the Free State, Faculty of Economic and Management Sciences, Department of Public Administration and Management, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic, arguably the most extensive economic shock after the Great Depression, has drawn attention from policy custodians over the past three years. Governments' response brought to the limelight the role that governance plays in mitigating the economic shrinking effects of a pandemic. This study investigated the mediating role of governance in the post-pandemic recovery process using structural equation modelling of cross-sectional data from 125 countries for the years 2020 and 2021. The results show that governance did not mediate economic recovery at the global level. However, regional analysis reveals a full mediation effect in Africa and for low-income countries in 2021. Disaggregating governance by indicators in Africa reveals complete mediation for control of corruption, government effectiveness, regulatory quality, and the rule of law. Achieving sustainable economic recovery requires strengthening local governance structures and encouraging international cooperation. The research motivates the establishment of international governance institutions in the spirit of United Nations-driven frameworks. This can be complemented by country-specific, multi-agency, cross-sector collaborations led by the state, the development of governance systems that reduce mistrust among stockholders, and investment in artificial intelligence and e-governance systems.

Indexed as

COVID-19 pandemicEconomic recoveryGovernanceMediation analysisStructural equation modelling

Identifiers

PMID39584076
PMCPMC11583703

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.