The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Carbon dioxide abatement in Africa: The role of renewable and non-renewable energy consumption
Abstract
The study explores the importance of renewable and non-renewable energy consumption on CO2 abatement in Africa from 1990 to 2014 with available balanced panel data for selected 19 countries employing the Augmented Mean Group (AMG) estimation technique. The study adopts both first-and-second-generation unit root and cointegration tests. Findings affirm cointegration among the variables. Results from the AMG estimate reveal that while renewable energy inhibits CO2 emissions insignificantly in Africa, non-renewable energy increases CO2 emissions significantly. Country-specific results reveal that the influence of both types of energy sources on CO2 emissions vary in terms of the nature of the relationship, the magnitude of influence and the level of significance. We further observed a one-way causality from renewable & non-renewable energy to CO2 emissions. Based on findings, policies for enhancing growth and curtailing environmental degradation with a view to achieving sustainable development were suggested.
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Cites
A simple panel unit root test in the presence of cross‐section dependence
Pesaran, M. H. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.951 · Cited by 12,787
A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test
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Testing for Error Correction in Panel Data*
Westerlund, J. (2007) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.2007.00477.x · Cited by 6,113
Testing for Granger non-causality in heterogeneous panels
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Renewable energy resources: current status, future prospects and their enabling technology
Ellabban, O., Abu-Rub, H., & Blaabjerg, F. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.07.113 · Cited by 3,134
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Cited by
The nexus between urbanization, renewable energy, trade, and ecological footprint in ASEAN countries
Nathaniel, S., & Khan, S. A. R. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.122709 · Cited by 594
Self-citationAdebayo, T. S., & Kirikkaleli, D. (2021) · Environment, Development and Sustainability · doi:10.1007/s10668-021-01322-2 · Cited by 577
Hussain, J., Khan, A., & Zhou, K. (2020) · Energy · doi:10.1016/j.energy.2020.117409 · Cited by 391
Yuping, L., Ramzan, M., Xincheng, L., Murshed, M., Awosusi, A. A., BAH, S. I., & Adebayo, T. S. (2021) · Energy Reports · doi:10.1016/j.egyr.2021.07.065 · Cited by 382
Ahmed, Z., Nathaniel, S. P., & Shahbaz, M. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125529 · Cited by 302
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Metadata
- Authors
- Nathaniel, S. P., & Iheonu, C. O.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 679
- Pages
- 337-345
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2944723883
- Cited by
- 408
- References
- 90
- FWCI
- 73.56
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
