The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Investigate the role of technology innovation and renewable energy in reducing transport sector CO2 emission in China: A path toward sustainable development
Abstract
The objective of this research is to examine the role of economic growth, technology innovation, and renewable energy in reducing transport sector CO 2 emission in China by using the annual data of 1990–2018. An application of the QARDL approach discloses that economic growth, technology innovation, and renewable energy significantly influence CO 2 emission in the transportation sector in China. Both renewable energy consumption and innovation show a negative impact on emissions of CO 2 related to transport. It depicts that due to the increase in renewable energy and innovation, the CO 2 emission in the transport sector is likely to decrease; however, an increase in the GDP of a country will upsurge the emission of CO 2 in the transportation sector. However, China should make new policies to introduce innovation in the transportation sector to minimize the emission of CO 2.
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Cites
How economic growth, renewable electricity and natural resources contribute to CO2 emissions?
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Cited by
Shan, S., Genç, S. Y., Kamran, H. W., & Dinca, G. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113004 · Cited by 622
Qin, L., Raheem, S., Murshed, M., Miao, X., Khan, Z., & Kirikkaleli, D. (2021) · Sustainable Development · doi:10.1002/sd.2208 · Cited by 346
Sun, Y., Li, H., Andlib, Z., & Genie, M. G. (2022) · Renewable Energy · doi:10.1016/j.renene.2021.12.112 · Cited by 269
Khan, A. N. (2024) · Sustainable Development · doi:10.1002/sd.2771 · Cited by 115
Metadata
- Authors
- Godil, D. I., Yu, Z., Sharif, A., Usman, R., & Khan, S. A. R.
- Venue
- Sustainable Development
- Publisher
- Wiley
- Published
- 2021-02-03
- Volume
- 29
- Issue
- 4
- Pages
- 694-707
- ISSN
- 0968-0802 (ISSN-L)
- 1099-1719
- OpenAlex
- W3128767104
- Cited by
- 398
- References
- 100
- FWCI
- 57.57
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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