The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China
Abstract
Abstract This paper aims to analyze the impacts of emission taxes, investments in the energy sector, expenditure on research and development, technological innovation, and tertiary sector development on the Chinese provincial carbon dioxide emission figures between 1995 and 2019. The econometric analysis involved the application of the latest methods which can simultaneously account for cross-sectional dependency, slope heterogeneity, and structural break issues in the data. The overall findings revealed that provincial growth and tertiary sector development were responsible for the aggravation of the carbon dioxide emission trends in China. In contrast, higher energy investments, technological innovation, renewable energy use, expenditure on research and development, and carbon emission taxes are found to abate carbon dioxide emissions and, therefore, facilitate the carbon-abatement agenda of China. Besides, the findings also revealed emission taxes, investment in research and development, technological innovation, and renewable energy use jointly reduce carbon dioxide emissions further. In line with these abovementioned findings, several policy-level recommendations are put forward.
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Cites
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Pesaran, M. H. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.951 · Cited by 12,787
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Testing for Error Correction in Panel Data*
Westerlund, J. (2007) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.2007.00477.x · Cited by 6,113
Testing slope homogeneity in large panels
Hashem Pesaran, M., & Yamagata, T. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.010 · Cited by 5,954
A Model of Growth Through Creative Destruction
Aghion, P., & Howitt, P. (1990) · National Bureau of Economic Research · doi:10.3386/w3223 · Cited by 5,634
Testing Weak Cross-Sectional Dependence in Large Panels
Pesaran, M. H. (2015) · Econometric Reviews · doi:10.1080/07474938.2014.956623 · Cited by 2,950
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Cited by
Ma, Q., Tariq, M., Mahmood, H., & Khan, Z. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.101910 · Cited by 493
Self-citationMurshed, M., Ahmed, Z., Alam, M. S., Mahmood, H., Rehman, A., & Dagar, V. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-15352-w · Cited by 179
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Metadata
- Authors
- Ma, Q., Murshed, M., & Khan, Z.
- Venue
- Energy Policy
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 155
- Pages
- 112345
- ISSN
- 0301-4215 (ISSN-L)
- OpenAlex
- W3162173904
- Cited by
- 365
- References
- 85
- FWCI
- 54.34
- Type
- journal article
- Language
- en
- Open access
- closed
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