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Cited by 265

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Renewable Energy Consumption and Economic Growth Nexus—A Systematic Literature Review

Open access
Bhuiyan, Miraj Ahmed, Zhang, Qiannan, Khare, Vikas, Mikhaylov, Alexey, Pinter, Gabor, Huang, Xiaowen·2022·Frontiers in Environmental Science

Abstract

An efficient use of energy is the pre-condition for economic development. But excessive use of fossil fuel harms the environment. As renewable energy emits no or low greenhouse gases, more countries are trying to increase the use of energies from renewable sources. At the same time, no matter developed or developing, nations have to maintain economic growth. By collecting SCI/SSCI indexed peer-reviewed journal articles, this article systematically reviews the consumption nexus of renewable energy and economic growth. A total of 46 articles have been reviewed following the PRISMA guidelines from 2010 to 2021. Our review research shows that renewable energy does not hinder economic growth for both developing and developed countries, whereas, there is little significance of consuming renewable energy (threshold level) on economic growth for developed countries.

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Metadata

Authors
Bhuiyan, M. A., Zhang, Q., Khare, V., Mikhaylov, A., Pinter, G., & Huang, X.
Venue
Frontiers in Environmental Science
Published
2022-04-29
Volume
10
ISSN
2296-665X (ISSN-L)
OpenAlex
W4225164757
Cited by
265
References
43
FWCI
15.93
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Renewable Energy Consumption and Economic Growth Nexus—A Systematic Literature Review. https://app.cochat.ai/papers/10.3389/fenvs.2022.878394
The paper
Bhuiyan, M. A., Zhang, Q., Khare, V., Mikhaylov, A., Pinter, G., & Huang, X. (2022). Renewable Energy Consumption and Economic Growth Nexus—A Systematic Literature Review. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2022.878394

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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.