Evidence map›Paper›PMID 33111227›Full record

ArticleEnvironmental science and pollution research international2021

The contribution of the anthropogenic impact of biomass utilization on ecological degradation: revisiting the G7 economies.

Bright Akwasi Gyamfi, Steve Yaw Sarpong, Murad A Bein

Abstract read
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In one paragraph

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Does agricultural development induce environmental pollution in E7? A myth or reality.Environmental science and pollution research international · 2021
    Article
  7. Environmental implications of N-shaped environmental Kuznets curve for E7 countries.Environmental science and pollution research international · 2021
    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

3 authors.

Bright Akwasi GyamfiFaculty of Economics and Administrative Sciences, Cyprus International University, North Cyprus, Via Mersin 10, Nicosia, Turkey. brightgyamfi1987@gmail.com.ORCID http://orcid.org/0000-0002-7567-9885
Steve Yaw SarpongFaculty of Economics and Administrative Sciences, Cyprus International University, North Cyprus, Via Mersin 10, Nicosia, Turkey.
Murad A BeinFaculty of Economics and Administrative Sciences, Cyprus International University, North Cyprus, Via Mersin 10, Nicosia, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The debate on ecological matters that relate to the biomass emissions nexus has gained prominence and different scholars have suggested various forms of policy directions to tackle the menace. This study seeks to contribute to this subject by examining the impact of biomass energy use on carbon dioxide pollution in the G7 economies context. Thus, to this end, we employed energy usage and GDP measured as economic growth which adds factors that can influence pollution for annual time-frequency between1995 and 2016 for the case of G7 economies. The present study adds to the extant literature by the adoption of the novel econometric techniques such as the panel cross-section augment ARDL and common correlated estimate mean group (CCEMG) to evaluate the impact of biomass energy on pollutants. The empirical results from all the techniques show that biomass energy consumption significantly and negatively correlates to CO

Indexed as

Economic DevelopmentEnvironmental PollutionBiomassCarbon DioxidePolicyCarbon DioxideBiomass energy usageCO2 pollutionEnergy useG7 economiesReal GDP

Identifiers

What OpenQuestion holds

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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.