Evidence map›Paper›PMID 39931467›Full record

ArticleHeliyon2025

Which, renewable or non-renewable energy, is more vital for the economic growth of OECD countries? A Bayesian hierarchical analysis.

Nguyen Ngoc Thach

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Nguyen Ngoc ThachHo Chi Minh University of Banking, 39 Ham Nghi Street, District 1, Ho Chi Minh City, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OECD countries have made notable strides in energy transition, but further examination of the interplay between renewables and non-renewables is essential for informed energy policy. Conventional statistical methods face challenges like multicollinearity when exploring the impacts of these energy sources on economic growth. In light of this issue, a Bayesian mixed-effects (hierarchical) regression framework provides a flexible and efficient alternative. This study employs such an approach to dissect the specific contributions of renewables and non-renewables to aggregate output growth in OECD countries. With substantial investments in renewable technologies, it is anticipated that renewables will increasingly contribute to economic growth. Interval hypothesis tests are conducted to scrutinize the data, and the findings validate the expectation that renewables exert a more substantial effect on economic growth in OECD nations. These outcomes provide a robust empirical foundation for shaping energy transition policies.

Indexed as

Bayesian hierarchical regressionEconomic growthMulticollinearityNon-renewableOECDRenewable

Identifiers

PMID39931467
PMCPMC11808715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.