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Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling
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Citations
Cited by
How renewable energy alleviate energy poverty? A global analysis
Zhao, J., Dong, K., Dong, X., & Shahbaz, M. (2022) · Renewable Energy · doi:10.1016/j.renene.2022.01.005 · Cited by 394
Green Finance and Renewable Energy: A Worldwide Evidence
Alharbi, S., Al Mamun, M., Sabri, B., & Rizvi, S. R. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4315725 · Cited by 353
Lobato-Peralta, D. R., Okoye, P. U., & Alegre, C. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.235140 · Cited by 266
The impact of AI on carbon emissions: evidence from 66 countries
Zhong, J., Zhong, Y., Han, M., Yang, T., & Zhang, Q. (2024) · Applied Economics · doi:10.1080/00036846.2023.2203461 · Cited by 105
Metadata
- Authors
- Zhang, M., Zhang, S., Lee, C.-C., & Zhou, D.
- Venue
- Energy Economics
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 104
- Pages
- 105649
- ISSN
- 0140-9883 (ISSN-L)
- OpenAlex
- W3209342482
- Cited by
- 219
- References
- 0
- FWCI
- 25.27
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling. https://app.cochat.ai/papers/10.1016/j.eneco.2021.105649
- The paper
- Zhang, M., Zhang, S., Lee, C.-C., & Zhou, D. (2021). Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling. Energy Economics. https://doi.org/10.1016/j.eneco.2021.105649
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.