The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries
Abstract
Economic development drives industrialization, which increased the value of the extracted natural resources. Excessive usage of natural resources, through agriculture, deforestation, and mining can affect the environment. In this regard, the present study investigates the effects of natural resources' abundance on carbon dioxide (CO2) emissions. The study uses annual panel data spanning from 1990 to 2015 in BRICS countries. The augmented mean group (AMG) panel algorithm, robust to crosssectional dependence and heterogeneity, infers the heterogeneous effect of natural resources on CO2 emissions among BRICS countries. Abundance of natural resources mitigates CO2 emission in Russia, but contributes to pollution in South Africa. In addition to this, natural resources help to form Environmental Kuznets Curve (EKC) hypothesis in Brazil, China, Russia, and South Africa. Finally, causality analysis suggested feedback hypothesis between natural resources and CO2 emissions.
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
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
The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics
Breusch, T. S., & Pagan, A. R. (1980) · The Review of Economic Studies · doi:10.2307/2297111 · Cited by 8,982
General Diagnostic Tests for Cross Section Dependence in Panels
Pesaran, M. H. (2004) · doi:10.2139/ssrn.572504 · Cited by 8,738
Environmental Impacts of a North American Free Trade Agreement
Grossman, G., & Krueger, A. (1991) · National Bureau of Economic Research · doi:10.3386/w3914 · Cited by 7,595
BP Statistical Review of World Energy
Gurney, J., & Company, B. P. (1985) · Journal of Policy Analysis and Management · doi:10.2307/3324639 · Cited by 6,268
Testing for Granger non-causality in heterogeneous panels
Dumitrescu, E.-I., & Hurlin, C. (2012) · Economic Modelling · doi:10.1016/j.econmod.2012.02.014 · Cited by 5,922
96/01121 BP statistical review of world energy 1995
(1996) · Fuel and Energy Abstracts · doi:10.1016/0140-6701(96)91019-x · Cited by 2,663
How economic growth, renewable electricity and natural resources contribute to CO2 emissions?
Balsalobre-Lorente, D., Shahbaz, M., Roubaud, D., & Farhani, S. (2018) · Energy Policy · doi:10.1016/j.enpol.2017.10.050 · Cited by 1,501
Sarkodie, S. A., & Strezov, V. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.07.365 · Cited by 1,246
Destek, M. A., & Sarkodie, S. A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.10.017 · Cited by 1,156
Cited by
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
Escalante, J., Chen, W.-H., Tabatabaei, M., Hoang, A. T., Kwon, E. E., Andrew Lin, K.-Y., & Saravanakumar, A. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112914 · Cited by 414
Li, Y., Wang, X., Imran, A., Aslam, M. U., & Mehmood, U. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18882 · Cited by 43
Metadata
- Authors
- Danish, Baloch, M. A., Mahmood, N., & Zhang, J. W.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 678
- Pages
- 632-638
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2944554649
- Cited by
- 939
- References
- 46
- FWCI
- 120.01
- 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: Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. https://app.cochat.ai/papers/10.1016/j.scitotenv.2019.05.028
- The paper
- Danish, Baloch, M. A., Mahmood, N., & Zhang, J. W. (2019). Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2019.05.028
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.