Evidence map›Paper›PMID 38590910›Full record

ArticleHeliyon2024

Money grows on green energy: Financing a sustainable power future.

Fangzhou Yang, Wenshu Liu, Yuqing Zhang, Guoxing Yang, Talu Wala

RetractedAbstract readRetracted Publication
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. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

5 authors.

Fangzhou YangBusiness School, Monash University, Melbourne, 3800, Australia.
Wenshu LiuSchool of Ethnology and Sociology, MUC, Minzu University of China, Beijing, 100081 China.
Yuqing ZhangResearch Center for Fintech, Zhejiang Labboratory, Hangzhou, 215000 China.
Guoxing YangMonash Art, Design and Architecture, Monash University, Melbourne, 3800 Australia.
Talu WalaSchool of Business Administration, Xi'an Eurasia University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to estimate the relationship between green bond financing and the OECD nations' performance on the renewable energy indices. The study attempted to quantify the relationship between concepts by analyzing data from OECD countries for 2011-2019. Padroni unit root test, FMOLS, and DOLS method provide evidence for the study's results and convey broad policy implications on this important topic. The robustness is consequently examined through a long-term sensitivity analysis employing the FMOLS, and green bond financing nexus concerning the renewable energy indices is shown for comparison. The study showed that financing of green bonds had a predictable impact on renewable energy indices variables. Green bonds' unequal implications for renewable energy measures across the study period bear out this interpretation. The study's findings call for full suppot from government institutions, energy agencies, and departments to optimize energy efficiency, as green bond financing played a 32% role in OECD nation's renewable energy index constructions and increased per unit improvement in renewable energy sources by 9.6%. The research offers many policy recommendations for improving energy efficiency through renewable energy generation. Recent studies extend and contribute to the existing body of literature, although the scientific discussion on this subject matter still needs to be more detailed and understudied. Financial unpredictability may be transformed into a tremendous opportunity if the renewable energy business is appropriately regulated.

Indexed as

Green energyOECD nation'sRenewable energy indicesSustainable power future

Identifiers

PMID38590910
PMCPMC10999865

What OpenQuestion holds

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LicenceCC BY
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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.