Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach

Adom, Philip Kofi; Bekoe, William; Akoena, S.K.

doi:10.1016/j.enpol.2011.12.019

Cited by 116 publications

(83 citation statements)

References 24 publications

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“…This indicator is necessary to measure the impacts of economic structure shifting or rural electrification program to the electricity demand of a nation. This indicator has been neglected in most existing electricity demand estimations (Adom et al, 2012;Arisoy and Ozturk, 2014;Atalla and Hunt, 2016).…”

Section: Resultsmentioning

confidence: 99%

Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

et al. 2017

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Renewable energy planners in developing countries should be cautious in using analytical tools formulated in developed countries. Traditional energy consumption, economic and demography transitions, high-income inequality, and informal economy are some characteristics of developing countries that may contradict the assumptions of mainstream, widely used analytical tools. In this study, we synthesize the debate in previous review studies on energy models for developing countries and then extend the scope of the previous studies by highlighting emerging methods of system thinking, life cycle thinking, and decision support analysis. We then discuss how these tools have been used for renewable energy analysis in developing countries and found out that not all studies are aware of the emerging critical issues in developing countries. We offer here a guidance to select the most appropriate analytical tool, mainly when dealing with energy modeling and analysis for developing countries. We also suggest potential future improvements to the analytical tool for renewable energy modeling and analysis in the developing countries.

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Section: Resultsmentioning

confidence: 99%

Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

et al. 2017

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“…Likewise, Islam et al [31] also observed the bidirectional causal relationships between population and energy consumption. In the case of Ghana, Adom et al [32] investigated the impact of energy prices, income, industrial growth and urbanization on energy consumption. They confirmed that energy demand and its determinants are cointegrated.…”

Section: Literature Reviewmentioning

confidence: 99%

The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia

Shahbaz

Loganathan

Sbia³

et al. 2015

Renewable and Sustainable Energy Reviews

149

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This paper investigates the impact of urbanization on energy consumption by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in case of Malaysia. The study covers the time period of 1970Q1-2011Q4. The unit root test and the ARDL bounds testing approach have been applied to examine integrating properties and long run relationship in the presence of structural breaks. Our results validated the existence of cointegration and exposed that urbanization is a major contributor in energy consumption. Affluence raises energy demand. Capital stock boosts energy consumption. Trade openness leads affluence and hence increases energy consumption. The causality analysis finds that urbanization Granger causes energy consumption. The feedback effect is found between energy consumption and affluence and, energy consumption and capital. The bidirectional causality exists between trade openness and energy consumption.

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“…Thirdly, unlike traditional cointegration tests, it is possible to determine different lags for each variable in the model which makes it more flexible. Lastly, most co-integration techniques are sensitive to the sample sizes while the ARDL method provides robust and consistent results for small sample sizes (Adom et al, 2012). In order to investigate the causal relationship between selected economic variables and stock returns in China, the ARDL approach is used, which is defined as follows in equations: …”

Section: Auto Regressive Distributed Lag (Ardl) Approachmentioning

confidence: 99%

“…The ARDL approach provides several advantages over traditional methods for evaluate of co-integration and short-run and long-run linkages. Firstly, opposite to traditional co-integration methods such as Johansen's tests (Johansen, 1991), Granger and Engle causality test (Engle & Granger, 1987) and Vector Autoregressive (VAR) model, the ARDL can be utilized to test for a level relationship for variables that are either at level or first difference as well as for mix I(0) and I(1) variables (Duasa, 2007;Adom et al, 2012). But ARDL approach does not apply with non-stationary variables integrated of order two I(2).The possibility to combine I(0) or I(1) variables is great advantage as financial time series often are either at stationary at level or first difference .…”

Section: Auto Regressive Distributed Lag (Ardl) Approachmentioning

confidence: 99%

Nexuses between Economic Factors and Stock Returns in China

Khan¹,

Teng²,

Parviaz³

et al. 2017

IJEF

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Economist and stock managers always focus on stock market return. This study investigated short and long run relationship between economic factors and stock returns in China by applying ARDL approach from 01/2000 to 12/2016. Estimated results of bound test for co-integration shows that long run relationships exist among the variables except inflation rate. Results of short and long run ARDL demonstrate that exchange rate and inflation rate have positive effect on stock returns in China while interest rate have negative effect on stock returns. Results indicate that stock returns in China are very sensitive and can be affected positively or negatively with increase and decrease in economic factors. Both local and regional factors in China can directly and indirectly explain Shanghai Stock Exchange stock returns.

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Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach

Cited by 116 publications

References 24 publications

Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia

Nexuses between Economic Factors and Stock Returns in China

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