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

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.

The Recent Ecological Efficiency Development in China: Interactive Systems of Economy, Society and Environment

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Developing multivariate time series models to examine the interrelations between police enforcement, traffic violations, and traffic crashes

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