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The relationship between electricity consumption, peak load and GDP in Saudi Arabia: A VAR analysis

Yasir Hamad Alsaedi and Gurudeo Anand Tularam

Mathematics and Computers in Simulation (MATCOM), 2020, vol. 175, issue C, 164-178

Abstract: This study aims to investigate the dynamic relationship between electricity consumption (EC), peak load (PL) and gross domestic product (GDP) in the Kingdom of Saudi Arabia by employing a vector auto-regression (VAR) analysis using time series data from 1990–2015. We also employ Granger causality testing, the impulse response function and forecast error variance decompositions. The forecasts for the total EC, PL and GDP using the VAR model with a ten-year horizon show positive growth rates of around 7.21%, 6.87% and 14.14%, respectively. We find bidirectional Granger causal relationships between the PL and the EC and GDP. The results also show that 29% of the PL is explained by its own innovative shocks. The contributions of the EC and GDP to the PL are 10% and 34%, respectively. This study demonstrates PL to be a significant variable that relates to growth.

Keywords: Electricity consumption; Peak load; GDP; Granger causality; VAR model (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:175:y:2020:i:c:p:164-178

DOI: 10.1016/j.matcom.2019.06.012

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