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Nexus between green finance, non-fossil energy use, and carbon intensity: Empirical evidence from China based on a vector error correction model
Abstract
Abstract Previous studies have considered the effect of financial development on carbon emissions; however, few studies have explored the role of green finance in carbon mitigation. To bridge this gap, the current study constructs a green finance development index based on four indicators: green credit, green securities, green insurance, and green investment. A vector error correction model is used to analyze relationships between the development level of green finance, non-fossil energy consumption, and carbon intensity using data from 2000 to 2018. We find that China’s green finance industry developed rapidly, and improvements in the green finance development index, as well as the increasing use of non-fossil energy, contributed to a reduction in carbon intensity. Simultaneously, an increase in carbon intensity inhibited the expansion of non-fossil energy use, impeded the investment flow to green projects, and ultimately led to a deterioration of green finance development. In addition, non-fossil energy consumption in China was primarily influenced by green finance and carbon intensity, with clear policy-driven effects. However, the impacts of green finance policies continually fell short and lacked continuity. This study proposes ways in which to improve the effect of green finance policy implementation, expand the consumption of non-fossil energy, and develop a carbon trading market.
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Citations
Cites
Co-integration and error correction: representation, estimation and testing
Engle, R. F., & Granger, C. W. J. (1987) · Econometrica · doi:10.2307/1913236 · Cited by 32,007
Cited by
Zhang, S., Wu, Z., Wang, Y., & Hao, Y. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113159 · Cited by 659
Green finance, fintech and environmental protection: evidence from China
Muganyi, T., Yan, L., & Sun, H.-P. (2021) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2021.100107 · Cited by 626
Metadata
- Authors
- Ren, X., Shao, Q., & Zhong, R.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 277
- Pages
- 122844
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W3043331533
- Cited by
- 504
- References
- 1
- FWCI
- 56.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ren, X., Shao, Q., & Zhong, R. (2020). Nexus between green finance, non-fossil energy use, and carbon intensity: Empirical evidence from China based on a vector error correction model. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.122844
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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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