The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
What drives environmental degradation? Evidence from 14 Sub-Saharan African countries
Abstract
Although Sub-Saharan Africa (SSA) countries make less environmental pollution compared with other regions, the notably increasing economic growth and accelerating process of urbanization have resulted in the increase of energy needs and, thus, lead to environmental degradation. To empirically investigate the determinants of environmental degradation by accounting for the significant roles played by economic growth, non-renewable and renewable energy consumption, and urbanization, a balanced panel dataset of 14 SSA countries over 1990-2014 is utilized. Also, the ecological footprint (EF), considered a more comprehensive indicator, is used as a proxy of environmental degradation. The results confirm strong cross-sectional dependence within the SSA countries. The Augmented Mean Group (AMG) estimator indicates that economic growth, non-renewable energy consumption, and urbanization exert positive effects on the EF in the SSA countries, while renewable energy consumption plays a negative role in the EF. Moreover, bidirectional long-run causality runs among economic growth, non-renewable consumption, urbanization, and the EF; in contrast, unidirectional causality is found to run from renewable energy consumption to the EF. Therefore, for the SSA countries, the upgrading of industrial structure and further improvement of renewable energy are needed. In addition, urbanization plays a crucial role in contributing to environmental degradation and requires immediate policy response in the SSA countries.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
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
Economic growth and the environment
Grossman, G. M., & Krueger, A. B. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118443 · Cited by 9,901
Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018) · Energy Economics · doi:10.1016/j.eneco.2018.08.017 · Cited by 700
Self-citationThe economics of renewable energy expansion in rural Sub-Saharan Africa.
Deichmann, U., Meisner, C., Murray, S., & Wheeler, D. (2011) · Energy Policy · doi:10.1016/j.enpol.2010.09.034 · Cited by 298
Cited by
Danish, Baloch, M. A., Mahmood, N., & Zhang, J. W. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.028 · Cited by 939
Alola, A. A., Bekun, F. V., & Sarkodie, S. A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.139 · Cited by 835
Ahmad, M., Jiang, P., Majeed, A., Umar, M., Khan, Z., & Muhammad, S. (2020) · Resources Policy · doi:10.1016/j.resourpol.2020.101817 · Cited by 773
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
Usman, M., & Balsalobre-Lorente, D. (2022) · Energy Policy · doi:10.1016/j.enpol.2022.112780 · Cited by 508
Metadata
- Authors
- Wang, J., & Dong, K.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 656
- Pages
- 165-173
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2901988147
- Cited by
- 472
- References
- 5
- FWCI
- 55.30
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: What drives environmental degradation? Evidence from 14 Sub-Saharan African countries. https://app.cochat.ai/papers/10.1016/j.scitotenv.2018.11.354
- The paper
- Wang, J., & Dong, K. (2019). What drives environmental degradation? Evidence from 14 Sub-Saharan African countries. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2018.11.354
Data sources
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.