Evidence map›Paper›PMID 31900782›Full record

ArticleEnvironmental science and pollution research international2020

Modelling environmental degradation in South Africa: the effects of energy consumption, democracy, and globalization using innovation accounting tests.

Ojonugwa Usman, Ifedolapo O Olanipekun, Paul Terhemba Iorember, Maryam Abu-Goodman

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  6. Does trade openness mitigate the environmental degradation in South Africa?Environmental science and pollution research international · 2022
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  7. Article
  8. Article
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  18. Does democracy help reduce environmental degradation?Environmental science and pollution research international · 2021
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  20. Review
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

4 authors.

Ojonugwa UsmanDepartment of Economics, Faculty of Business and Economics, Eastern Mediterranean University, North Cyprus, via Mersin 10, Famagusta, Turkey. usmanojonugwa@gmail.com.
Ifedolapo O OlanipekunDepartment of Economics, Faculty of Business and Economics, Eastern Mediterranean University, North Cyprus, via Mersin 10, Famagusta, Turkey.
Paul Terhemba IoremberFaculty of Social Sciences, Department of Economics, University of Jos, Jos, Nigeria.
Maryam Abu-GoodmanDepartment of Economics, Faculty of Business and Economics, Eastern Mediterranean University, North Cyprus, via Mersin 10, Famagusta, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the effects of energy consumption, democracy and globalization on environmental degradation in the context of the environmental Kuznets curve (EKC) for South Africa between 1971 and 2014. To this end, the study applies the combined Bayer-Hanck cointegration test and the fully modified ordinary least squares (FM-OLS) estimation approach. The empirical results confirm the presence of cointegration among the variables, and thus validate the EKC hypothesis for South Africa. In addition, while energy consumption increases environmental degradation, the effect of democracy is positively insignificant. The finding also suggests that globalization condenses environmental degradation. The results of the long-run causal relationship divulge that economic growth, energy consumption, democracy and globalization Granger-cause environmental degradation. The results also find causality running from CO

Indexed as

Carbon DioxideDemocracyEconomic DevelopmentInternationalitySouth AfricaCarbon DioxideCO2 emissionsDemocracyEnergy consumptionEnvironmental Kuznets curveGlobalization index

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.