Trivariate Causality between Economic Growth, Urbanisation and Electricity Consumption in Angola: Cointegration and Causality Analysis
By Sakiru Adebola Solarin, Muhammad Shahbaz. 2013
229 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Information Systems
View Paper: https://www.semanticscholar.org/paper/43e0e53a23ba12115ea7ceffd6377d7c56e1ccc4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Muhammad Shahbaz
- N. Othman
- Ilhan Ozturk
- Jamiu Adetola Odugbesan
- Husam Rjoub
- H. A. Bekhet
- Nuno Carlos Leitão
- A. R. Chaudhary
In Information Systems
Citations in the corpus
- Impact of urbanization growth on Malaysia CO2 emissions: Evidence from the dynamic relationship (2017, background): “Instead of CO2 emissions, Solarin and Shahbaz (2013) tested the causality relationship between energy consumption and urbanization by using the ARDL model and revealed the bidirectional causality relationship between the aforementioned variables.”
- How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model (2016, unknown): “On the other hand, Solarin and Shahbaz (2013) also analyzed the relationship between economic growth, urbanisation and electricity consumption for Angola using several econometric estimation techniques and concluded long-run association among the variables and also found bidirectional Granger…”
- Economic growth, carbon dioxide emissions, renewable energy and globalization (2014, background): “The correlation between economic growth, urbanization and energy consumption for Angola, was investigated by Solarin and Shahbaz (2013).”
- Relationship Among Economic Growth, Energy Consumption, CO2 Emission, and Urbanization: Evidence From MINT Countries (2020, background): “Among the few available literatures on the relationship between urbanization and economic growth are the works of Solarin and Shahbaz (2013) and Mishra et al. (2009), who conducted studies on a small panel and employed time-series method.”