Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration
By H. Amusa, K. Amusa, R. Mabugu. 2009
152 citations recorded by the source corpus.
Subfields: Pollution, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/9c83a1613db5d958ec9af6360aa5be72a1fc905b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Pollution
In Renewable Energy, Sustainability and the Environment
- P. K. Adom
- Inês Lima Azevedo
- Yao Dong
- Jianzhou Wang
- Ge Zhao
- Yuanyuan Wang
- John E. Fernández
- Lutz Sager
Citations in the corpus
- Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China (2012, methodology): “Amusa et al. (2009) applied the bounds testing method of co-integration within an autoregressive distributed lag framework to examine the total electricity in South Africa.”
- Residential electricity consumption in Portugal: Findings from top-down and bottom-up models (2011, methodology): “A series of other studies have used very similar methodologies to estimate price and income elasticities for residential electricity demand (Holtedahl and Joutz, 2004; Narayan and Smyth, 2005; Dergiades and Tsoulfidis, 2008; Amusa et al., 2009). The first international comparison of price elasticiti”
- Electricity Consumption-Economic Growth Nexus: The Ghanaian Case (2011, background): “Narayan (2005) and Odhianbo (2009) as quoted in Amusa et al (2009) demonstrates that even when some of the independent variables are endogenous, the bounds testing approach generally provides unbiased long-run estimates and valid t-statistics.”