Evidence map›Paper›PMID 37016693›Full record

ArticleScientific African2023

Economic activities' response to the COVID-19 pandemic in developing countries.

Paul Owusu Takyi, John Bosco Dramani, Nana Kwame Akosah, Godfred Aawaar

Abstract read
In one paragraph

Article in Scientific African, 2023. 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

4 authors.

Paul Owusu TakyiDepartment of Economics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
John Bosco DramaniDepartment of Economics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Nana Kwame AkosahResearch Department, Bank of Ghana, Accra, Ghana.
Godfred AawaarDepartment of Accounting and Finance, KNUST School of Business, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the occurrence of the COVID-19 pandemic, many governments around the world have instituted several economic policy responses to swathe the real sectors of their economies from the ramifications of the pandemic. However, most economies still remain vulnerable to the pandemic. In this paper, we evaluate and quantify the potential short-run impact of the COVID-19 pandemic on economic activities in eighteen (18) developing countries using monthly time series data on Industrial Production Index and Composite Index of Economic Activity from January 2010 to December 2020. In addition, we employ a state-space model (a Bayesian structural time series model) to estimate the absolute and relative effects of the COVID-19 pandemic on economic activities in those countries. The results of our Bayesian posterior estimate show that, in relative terms, economic activities of six countries have significantly reduced during the occurrence of the COVID-19 pandemic, usually between -4.4% and -16%. Our Bayesian posterior distribution graphs show that the significant negative impacts of the COVID-19 pandemic on economic activities of most of the countries are rather short-lived. This finding suggests that the real sectors of those countries have seen a recovery after being adversely affected by the COVID-19 pandemic. We recommend a continuation of the policy tools introduced by the central banks and the international organizations with a key focus on sectors of that economy that involves significant human interactions such as the hospitality and tourism as well as the aviation industry which was hugely hit by the pandemic.

Indexed as

Bayesian approachCOVID-19 pandemicDeveloping economiesEconomic activities

Identifiers

PMID37016693
PMCPMC10030262

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.