The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: A panel vector autoregressive (PVAR) analysis
Abstract
Abstract Unlike previous studies in the energy-environment literature, this study employed the panel vector autoregressive (PVAR) model that was developed by Love and Zicchino [1] to examine the impact of renewable energy and financial development on carbon dioxide (CO2) emissions and economic growth. Moreover, we used the impulse response function tool, which was developed in the same context, to better understand the reaction of the two main variables of interest, CO2 emissions and economic growth, aftershocks on renewable energy and financial development variables. Finally, the analysis was completed by the variance decomposition of all variables. These analyses were conducted for a 24 countries of the Middle East and North Africa (MENA) region from 1980 to 2015. Overall, the results show that both renewable energy consumption and financial development have a slight influence and can only slightly explain CO2 emissions and economic growth. These results indicate that both financial development and the renewable energy sectors in the MENA countries are still weak regarding making contributions to environmental quality improvements and economic growth. Several policies are proposed and discussed.
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Another look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
Testing for unit roots in heterogeneous panels
Im, K. S., Pesaran, M. H., & Shin, Y. (2003) · Journal of Econometrics · doi:10.1016/s0304-4076(03)00092-7 · Cited by 15,435
A simple panel unit root test in the presence of cross‐section dependence
Pesaran, M. H. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.951 · Cited by 12,787
Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors
Pedroni, P. (1999) · Oxford Bulletin of Economics and Statistics · doi:10.1111/1468-0084.61.s1.14 · Cited by 6,726
Error-Correction–Based Cointegration Tests for Panel Data
Persyn, D., & Westerlund, J. (2008) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0800800205 · Cited by 770
Van den Bergh, K., Delarue, E., & D'haeseleer, W. (2013) · Energy Policy · doi:10.1016/j.enpol.2013.09.003 · Cited by 86
Cited by
Shahzad, U. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-08349-4 · Cited by 348
Impact of Green financing, FinTech, and financial inclusion on energy efficiency
Liu, H., Yao, P., Latif, S., Aslam, S., & Iqbal, N. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16949-x · Cited by 323
Metadata
- Authors
- Charfeddine, L., & Kahia, M.
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 139
- Pages
- 198-213
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W2916047775
- Cited by
- 1,006
- References
- 6
- FWCI
- 147.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Charfeddine, L., & Kahia, M. (2019). Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: A panel vector autoregressive (PVAR) analysis. Renewable Energy. https://doi.org/10.1016/j.renene.2019.01.010
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