Evidence map›Paper›PMID 40299861›Full record

ArticlePloS one2025

Energy price instability and energy efficiency: Korea's macroeconomic framework during the COVID-19 pandemic.

Renhong Wu, Yugang He, Zhuoqi Teng

Abstract read
In one paragraph

Article in PloS one, 2025. 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

3 authors.

Renhong WuSchool of Management, Kyung Hee University, Seoul, Republic of Korea.ORCID 0000-0002-2843-7138
Yugang HeDepartment of Chinese Trade and Commerce, Sejong University, Seoul, Republic of Korea.ORCID 0000-0001-5758-069X
Zhuoqi TengCollege of Business Administration, Henan Finance University, Zhengzhou, China.ORCID 0000-0002-2741-3580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pervasive effects of the COVID-19 pandemic in Korea on the daily lives of Korean citizens, as well as the nation's economic and industrial landscape, cannot be understated. In this article, we explore the ramifications of energy price fluctuations, changes in energy efficiency, and shifts in monetary policy on the dynamic macroeconomic framework of the Korean economy during this unprecedented global crisis. Utilizing Bayesian estimation and impulse response functions, the study's findings reveal that a surge in energy prices triggered a cascade of detrimental effects, including reductions in output, investment, employment, energy consumption, real wages, investments, real monetary holdings, and loan interest rates, while simultaneously elevating the deposit interest rate. Conversely, a positive shock to energy utilization efficiency engendered multiple favorable outcomes, such as greater output, consumption, employment, energy consumption, real wages, investment, and real money holdings, along with declines in deposit and loan interest rates. In the short term, a monetary policy shock precipitated an upswing in output, consumption, employment, energy consumption, investment, real money holdings, deposit interest rates, and loan interest rates, while exerting downward pressure on real wages. In sum, integration of these findings into the existing literature on the subject in the Korean context may significantly increase the depth and comprehensiveness of the discourse, improving our understanding of the multiple impacts of the COVID-19 pandemic on the nation's economy.

Indexed as

CommerceCOVID-19PandemicsBayes TheoremHumansRepublic of KoreaSARS-CoV-2

Identifiers

PMID40299861
PMCPMC12040203

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.