Evidence map›Paper›PMID 33245544›Full record

ArticleEnvironmental science and pollution research international2021

Trilemma association of energy consumption, carbon emission, and economic growth of BRICS and OECD regions: quantile regression estimation.

Muhammad Atif Nawaz, Muhammed Sajjad Hussain, Hafiz Waqas Kamran, Syed Ehsanullah, Rida Maheen, Faluk Shair

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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Muhammad Atif NawazDepartment of Economics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan. atif.nawaz.baloch@gmail.com.ORCID http://orcid.org/0000-0002-7539-1427
Muhammed Sajjad HussainSchool of Economics, Finance and Banking, Universiti Utara Malaysia, Changlun, Malaysia.
Hafiz Waqas KamranIqra University, Karachi, Pakistan.
Syed EhsanullahTunku Puteri Intan Safinaz School of Accountancy, Universiti Utara Malaysia, Changlun, Malaysia.
Rida MaheenTsinghua University China, Beijing, China.
Faluk ShairUniversity of Shanghai for Science and Technology, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent research has shown a huge impact of non-renewable energy (NRE) production on environmental health. In this context, this work analyzes the effects of GDP growth and long- and short-term consumption of renewable and non-renewable energy (RE and NRE, respectively) on carbon emission in BRICS and OECD economies. The quantile autoregressive distributed lag (QARDL) model was employed on the panel data from 1980 to 2016. Findings suggest a negative GDP-carbon emission correlation and a positive NRE-carbon emission correlation in the considered economies. Furthermore, carbon emission decreases with increase in gross capital formation, whereas trade openness does not have any significant effect on carbon emission. It has been determined that the application of the error correction method (ECM) has less effect on energy consumption as compared to the past levels and changes in energy consumption. In the long-term, a positive correlation of carbon emission and energy consumption is observed, whereas limited short-term effects of energy consumption on carbon emission are observed. Therefore, an RE-based energy production approach is recommended in the selected region for the future projects.

Indexed as

CarbonEconomic DevelopmentCarbon DioxideOrganisation for Economic Co-Operation and DevelopmentRenewable EnergyCarbonCarbon DioxideCO2 emissionEnvironmentGDP growthOECD and BRICSSustainability, energy consumption

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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.