Evidence map›Paper›PMID 33394396›Full record

ArticleEnvironmental science and pollution research international2021

A quantile analysis of energy efficiency, green investment, and energy innovation in most industrialized nations.

Hammed Oluwaseyi Musibau, Festus Fatai Adedoyin, Waliu Olawale Shittu

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Article in Environmental science and pollution research international, 2021. 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.

  1. Article
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  3. Review
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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

3 authors.

Hammed Oluwaseyi MusibauTamanian School of Business and Economics, University of Tasmania, Hobart, Australia. mizbauhameed2010@gmail.com.ORCID http://orcid.org/0000-0003-2605-857X
Festus Fatai AdedoyinDepartment of Computing and Informatics, Bournemouth University, Poole, UK.
Waliu Olawale ShittuDepartment of Economics, KolaDaisi University, Ibadan, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuous use of fossil fuels to meet the energy demands of the industrialized nations has led to environmental degradation. As such, there has been a call for research, exploration, and the usage of alternative energy which is believed to improve the depleting quality of the environment. This study investigates the relationship between energy efficiency, green energy investment, and energy innovation in a panel of nine highly industrialized countries, namely Canada, Japan, France, Spain, Germany, Switzerland, Italy, the USA, and the UK. Relying on the environmental Kuznets' hypothesis (EKC), we employ the quantile-on-quantile regression approach to the data obtained between 1980 and 2018. The empirical estimates validate the EKC hypothesis in most of these industrialized nations considered. The findings also reveal that the continuous use of non-renewable energy consumption escalates emissions, while the use of renewable energy reduces the level of emissions "in" the environment. Therefore, energy efficiency leads to an increase in emissions in the first 3 quantiles and reduces emissions in the remaining quantiles. Also, energy innovation leads to a high amount of emissions. Finally, the study calls for increased investments in renewable energy as well as energy efficiency to ensure continuous improvement in the quality of the environment.

Indexed as

Conservation of Energy ResourcesEconomic DevelopmentCanadaCarbon DioxideDeveloped CountriesFranceGermanyItalyJapanRenewable EnergySpainSwitzerlandCarbon DioxideEnergy efficiencyEnergy innovationGreen energy investmentQuantile Approach

Identifiers

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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.