Evidence map›Paper›PMID 39836693›Full record

ArticlePloS one2025

Can household energy efficiency dampen crude oil price volatility in the United States?

Ojonugwa Usman, Oktay Ozkan, Chinazaekpere Nwani, Festus Victor Bekun, Andrew Adewale Alola

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

5 authors.

Ojonugwa UsmanDepartment of Economics, Istanbul Ticaret University, Istanbul, Turkey.
Oktay OzkanDepartment of Business Administration, Faculty of Economics and Administrative Sciences, Tokat Gaziosmanpasa University, Tokat, Turkey.
Chinazaekpere NwaniDepartment of Economics and Development Studies, Alex Ekwueme Federal University, Ndufu-Alike, Ebonyi State, Nigeria.
Festus Victor BekunUniversity of Economics and Human Sciences in Warsaw, Warszawa, Poland.
Andrew Adewale AlolaUniversity of Inland Norway, Elverum, Norway.ORCID 0000-0001-5355-3707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even though the effect of oil price shocks on macroeconomics has been extensively investigated, the literature on how efficiency in household energy use affect crude oil price volatility is yet explored. This study unveils whether household energy efficiency lower crude oil price volatility asymmetrically in the United States using the historical and forecast dataset that spans from 1970:Q1-2040:Q1. Applying the multivariate case of Quantile-on-Quantile Regression, the empirical results show that household energy efficiency dampens crude oil price volatility with a stronger connection in quantiles before the median quantiles of crude oil price volatility. However, the effect of household energy efficiency decreases with an increase across quantiles of the crude oil price volatility. The results further show that energy-related CO2 emissions and retail electricity price intensify crude oil price volatility with varying effects across quantiles. These findings are similar to the sensitivity analysis and robustness checks. Overall, the policy implication of our findings is that government and policymakers need to demonstrate unequivocal commitments to improving not only energy-efficient practices at household level but also to mitigate energy-related environmental disasters.

Indexed as

CommercePetroleumFamily CharacteristicsHumansUnited StatesPetroleum

Identifiers

PMID39836693
PMCPMC11750086

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.