| Title |
The Role of Environmental Innovation and Green Energy Deployment in Environmental Protection: Evidence from Saudi Arabia |
| ID_Doc |
30997 |
| Authors |
Kahia, M; Jarraya, B; Kahouli, B; Omri, A |
| Title |
The Role of Environmental Innovation and Green Energy Deployment in Environmental Protection: Evidence from Saudi Arabia |
| Year |
2024 |
| Published |
Journal Of The Knowledge Economy, 15, 1 |
| DOI |
10.1007/s13132-022-01093-9 |
| Abstract |
The main goal of this investigation is to apply a comparative analysis to look at the influence of green energy and environmental innovation on four environmental indicators. This investigation is based on Saudi Arabia's economy with data spanning from 1990 to 2018. In this study, several econometric approaches were applied, including the unit root test, the cointegration test of Johansen (1988), and the DOLS (Dynamic OLS) estimation methodology. The empirical outcomes demonstrate that (i) the Environmental Kuznets curve (EKC) assumption in Saudi Arabia is not validated; (ii) the unconditional effects of the indicator of economic growth contribute to environmental degradation in all estimated models; (iii) the indicators of green energy use and environmental innovation contribute to environmental improvement but the magnitude of their effects is extremely slight; and (iiii) the net effect of both joint impacts (i.e., the interaction between green energy usage and economic growth as well as between environmental innovation and economic growth) for each estimated model yields a positive sign which implies that the green energy industry is in its immature stage in Saudi Arabia and innovations in green technology require a high status of scientific research to have a major contribution to environmental improvement. In light of obtained results, policy implications are discussed. |
| Author Keywords |
CO2 emissions; EKC hypothesis; Green energy; Environmental innovation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000874433700001 |
| WoS Category |
Economics |
| Research Area |
Business & Economics |
| PDF |
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