2019
DOI: 10.18488/journal.82.2019.61.23.29
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Energy Consumption and Economic Growth for Small Island Developing States: A Panel ARDL Approach

Abstract: Contribution/Originality: This study contributes to the existing literature of energy consumption-growth nexus for small island developing states. It uses new estimation methodology namely the Panel Autoregressive distributed lag model. The paper's primary contribution is finding that in both the long run and short run, there is a direct link between energy consumption and economic growth.

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Cited by 5 publications
(4 citation statements)
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“…The error correction parameters tap into the speed of adjustment, and βi are long –run parameters. The PMG main restriction is that the βi are identical across countries in the whole sample (Sheereen, 2019). The error correction coefficient determines how quickly the model is adjusted in order to restore equilibrium.…”
Section: Data Variables and Empirical Methodsmentioning
confidence: 99%
“…The error correction parameters tap into the speed of adjustment, and βi are long –run parameters. The PMG main restriction is that the βi are identical across countries in the whole sample (Sheereen, 2019). The error correction coefficient determines how quickly the model is adjusted in order to restore equilibrium.…”
Section: Data Variables and Empirical Methodsmentioning
confidence: 99%
“…The error correction parameters tap into the speed of adjustment, and βi are long‐run parameters. The PMG's only restriction is that the βi are identical across countries in the whole sample (Sheereen, 2019). The error correction coefficient measures the speed of adjustment which re‐creates the equilibrium in the model's long run.…”
Section: Data Variables and Empirical Methodsmentioning
confidence: 99%
“…Equation 2 is the functional form of the relationship between crude oil price, urbanization and environmental pollution. To make it easier for the interpretation of the coefficients more meaningful and most importantly to reduce the problem of heteroskedascity, we have converted the series into natural logarithm (Ahmed et al, 2015;Fauzel, 2019;Maji, 2015;Musa et al, 2019;Sulaiman & Abdur-Rahim, 2018). The Equation 3 shows the outcome of the conversion.…”
Section: Methods Data and Econometric Modellingmentioning
confidence: 99%