The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Nexus between carbon emissions, economic growth, renewable energy use, urbanization, industrialization, technological innovation, and forest area towards achieving environmental sustainability in Bangladesh
Open accessAbstract
Global climate change, exacerbated by greenhouse gas (GHG) emissions, notably carbon dioxide (CO2) emissions, offers enormous risks to the environment, development, and long-term sustainability. This study looks at how economic growth, renewable energy utilization, urbanization, industrialization, technological innovation, and forest area might help Bangladesh attain environmental sustainability by lowering CO2 emissions. The autoregressive distributed lag (ARDL) bounds testing strategy was used to test time series data from 1990 to 2019, followed by the Dynamic Ordinary Least Squares (DOLS) method. The empirical findings reveal that economic growth, urbanization, and industrialization increase CO2 emissions in Bangladesh while improving renewable energy use, technological innovation, and forest area assistance to achieve environmental sustainability by reducing CO2 emissions. In addition, the pairwise Granger causality test was utilized to capture the causal linkages between the variables. This article provides policy recommendations aimed at a low-carbon economy, promoting renewable energy use, sustainable urbanization, green industrialization, financing technological advancement, and sustainable forest management, to accomplish emission reduction and environmental sustainability in Bangladesh.
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
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Dickey, D. A., & Fuller, W. A. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10482531 · Cited by 23,211
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
Testing for a unit root in time series regression
PHILLIPS, P. C. B., & PERRON, P. (1988) · Biometrika · doi:10.1093/biomet/75.2.335 · Cited by 19,155
Efficient Tests for an Autoregressive Unit Root
Elliott, G., Rothenberg, T., & Stock, J. (1992) · National Bureau of Economic Research · doi:10.3386/t0130 · Cited by 4,231
Li, K., & Lin, B. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.07.185 · Cited by 833
Forest, agriculture, renewable energy, and CO2 emission
Waheed, R., Chang, D., Sarwar, S., & Chen, W. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.10.287 · Cited by 587
Shahbaz, M., Raghutla, C., Song, M., Zameer, H., & Jiao, Z. (2020) · Energy Economics · doi:10.1016/j.eneco.2020.104664 · Cited by 583
R&D intensity and carbon emissions in the G7: 1870–2014
Awaworyi Churchill, S., Inekwe, J., Smyth, R., & Zhang, X. (2019) · Energy Economics · doi:10.1016/j.eneco.2018.12.020 · Cited by 450
Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia
Sohag, K., Begum, R. A., Abdullah, S. M. S., & Jaafar, M. (2015) · Energy · doi:10.1016/j.energy.2015.06.101 · Cited by 428
Cited by
The challenges of sustainable energy transition: A focus on renewable energy
M.Saleh, H., & I.Hassan, A. (2024) · Applied Chemical Engineering · doi:10.59429/ace.v7i2.2084 · Cited by 240
Hasan, M. J., & Rahman, M. S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18102 · Cited by 34
Self-citation
Metadata
- Authors
- Raihan, A., Muhtasim, D. A., Farhana, S., Pavel, M. I., Faruk, O., Rahman, M., & Mahmood, A.
- Venue
- Energy and Climate Change
- Publisher
- Elsevier BV
- Published
- 2022-12
- Volume
- 3
- Pages
- 100080
- ISSN
- 2666-2787 (ISSN-L)
- OpenAlex
- W4290038962
- Cited by
- 363
- References
- 50
- FWCI
- 63.40
- Type
- journal article
- Language
- en
- Open access
- gold
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: Nexus between carbon emissions, economic growth, renewable energy use, urbanization, industrialization, technological innovation, and forest area towards achieving environmental sustainability in Bangladesh. https://app.cochat.ai/papers/10.1016/j.egycc.2022.100080
- The paper
- Raihan, A., Muhtasim, D. A., Farhana, S., Pavel, M. I., Faruk, O., Rahman, M., & Mahmood, A. (2022). Nexus between carbon emissions, economic growth, renewable energy use, urbanization, industrialization, technological innovation, and forest area towards achieving environmental sustainability in Bangladesh. Energy and Climate Change. https://doi.org/10.1016/j.egycc.2022.100080
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.