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Cited by 398

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

Godil, Danish I., Yu, Zhang, Sharif, Arshian, Usman, Rimsha, Khan, Syed Abdul Rehman·2021·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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Crossref · 10.1002/sd.2167

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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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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.