The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh
Abstract
Abstract Environmental problem is a much discussed issue worldwide. It is a more serious issue for Bangladesh, which is vulnerable to frequent natural disasters. Therefore, this work aims to identify the short-run and long-run causal relationships between clean energy, population density, urbanization, economic development, trade openness and environmental pollution in Bangladesh using the data of 1973 - 2014. Different time series related econometric techniques such as Augmented Dickey-Fuller test, Phillips-Perron test, Autoregressive Distributive Lag (ARDL) bounds test and the Toda-Yamamoto Granger causality test are applied to find out outcomes. Our findings are: the use of clean energy improved the environmental quality, but population density, urbanization and economic growth are found to be detrimental to the environment; a unidirectional causality of CO2 emissions with clean energy, economic growth and urbanization is also revealed. Therefore, the use of more clean energy for reducing the environmental pollution is to be ensured.
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
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
Awais, A. (2015) · Data Archiving and Networked Services (DANS) · doi:10.17632/zcvgc6m58h.1 · Cited by 6,707
Statistical inference in vector autoregressions with possibly integrated processes
Toda, H. Y., & Yamamoto, T. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01616-8 · Cited by 6,108
Techniques for Testing the Constancy of Regression Relationships Over Time
Brown, R. L., Durbin, J., & Evans, J. M. (1975) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1975.tb01532.x · Cited by 5,128
The Politics of Environmental Discourse: Ecological Modernization and the Policy Process
Hajer, M. A. (1997) · doi:10.1093/019829333x.001.0001 · Cited by 4,184
An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis
Pesaran, M. H., & Shin, Y. (2012) · Econometrics and Economic Theory in the 20th Century · doi:10.1017/ccol521633230.011 · Cited by 3,937
Ehrlich, P. R., & Holdren, J. P. (1971) · Science · doi:10.1126/science.171.3977.1212 · Cited by 3,584
The politics of environmental discourse: ecological modernization and the policy process
(1996) · Choice Reviews Online · doi:10.5860/choice.34-1513 · Cited by 2,233
Sustainable Development Goals: Law, Theory and Implementation
(2018) · Edward Elgar Publishing eBooks · doi:10.4337/9781786438768 · Cited by 1,925
Cited by
Renewable energy and CO2 emissions: New evidence with the panel threshold model
Chen, C., Pinar, M., & Stengos, T. (2022) · Renewable Energy · doi:10.1016/j.renene.2022.05.095 · Cited by 268
Yu, J., Tang, Y. M., Chau, K. Y., Nazar, R., Ali, S., & Iqbal, W. (2022) · Renewable Energy · doi:10.1016/j.renene.2021.10.002 · Cited by 266
Metadata
- Authors
- Rahman, M. M., & Alam, K.
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 172
- Pages
- 1063-1072
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W3147200326
- Cited by
- 328
- References
- 37
- FWCI
- 42.75
- 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: Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh. https://app.cochat.ai/papers/10.1016/j.renene.2021.03.103
- The paper
- Rahman, M. M., & Alam, K. (2021). Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh. Renewable Energy. https://doi.org/10.1016/j.renene.2021.03.103
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.
