Renewable energy, carbon emission and economic growth
| العنوان: | Renewable energy, carbon emission and economic growth |
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| المؤلفون: | Xingmin Zhang, Shujie Yao, Shuai Zhang |
| المساهمون: | Finance |
| المصدر: | Yao, S, Zhang, S & Zhang, X 2019, ' Renewable energy, carbon emission and economic growth : A revised environmental Kuznets Curve perspective ', Journal of Cleaner Production, vol. 235, pp. 1338-1352 . https://doi.org/10.1016/j.jclepro.2019.07.069 Journal of Cleaner Production, 235, 1338-1352. Elsevier Limited |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Renewable energy, Index (economics), 020209 energy, Strategy and Management, chemistry.chemical_element, 02 engineering and technology, Renewable energy consumption, Carbon emission, Industrial and Manufacturing Engineering, SDG 17 - Partnerships for the Goals, Kuznets curve, 0202 electrical engineering, electronic engineering, information engineering, Econometrics, Economics, Turning point, Economic growth, 0505 law, General Environmental Science, Renewable Energy, Sustainability and the Environment, business.industry, 05 social sciences, Building and Construction, chemistry, Environmental Kuznets Curve (EKC), Renewable energy Kuznets Curve (RKC), Ordinary least squares, 050501 criminology, business, Carbon, Panel data |
| الوصف: | Renewable energy plays an important role in reducing global carbon (CO2) emission. This paper builds a RER (renewable energy consumption rate) index to represent the energy structure of a country and proposes a U-shaped RKC (renewable energy Kuznets Curve) hypothesis between RER and economic growth. We also examine the dynamic relationship between RER and the Environmental Kuznets Curve (EKC) hypothesis using two panel data sets of 17 major developing and developed countries as well as six geo-economic regions of the world during 1990–2014. Panel co-integration tests indicate that a long-run relationship exists among economic growth, RER and carbon emission. We employ the fully modified ordinary least squares (FMOLS) and the dynamic ordinary least squares (DOLS) techniques to estimate the co-integration coefficients of the panels and individual countries/regions respectively. The results verify both the EKC and RKC hypotheses, indicating that a 10% rise in RER would to a 1.6% carbon emission reduction. It is also found that the RKC turning points of individual countries and the entire samples in general take place before the turning points of the respective EKCs. It suggests that promoting renewable energy consumption to make RKC cross its turning point earlier can accelerate EKC to reach its turning point more quickly. This finding has important policy implications with respect to the development and utilization of renewable energy and environmental protection. |
| اللغة: | English |
| تدمد: | 0959-6526 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::555cd0f2ef039a0c9148f94b00327609 https://hdl.handle.net/1871.1/45daa2fc-a865-4acb-b2d9-ea55b6003a02 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi.dedup.....555cd0f2ef039a0c9148f94b00327609 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 09596526 |
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