Abstract

This study aimed to examines the nexus of population, gross domestic product (GDP) growth, electricity generation, electricity consumption, and carbon emissions output using the time series data. This study employed the time series analysis, Pearson correlation, and regressions analysis to identify the pattern, relationship among variables and determine the significant predictors contributing carbon emissions in Malaysia. The results shown a growing trend in GDP, population, electricity generation, consumption, and emissions output in Malaysia. The correlation analysis presented a positive linear relationship among GDP, population, electricity generation, electricity consumption, and emissions output. The growing trend in population and GDP has significantly resulted in high rate of electricity generation and consumption that leads to greater carbon emissions in Malaysia. The multiple linear regressions suggest that population plays an important role to influence the carbon emissions in power generation sector from 1970 to 2014. We summarized the aspect of generations, consumption, and emissions productions are highly dependent on human aspects and driven by the inhabitants of the country. According to these findings, it can be concluded that electrical power in Malaysia is human-dependent energy system. Therefore, sustainable energy generation and consumption are crucial as renewable energy is generating zero emissions. A more holistic policy and strategy is required to encourage sustainable resources at the same time reducing carbon emissions towards sustainable energy consumption in Malaysia.Keywords: Electricity generation, consumption, emissions, MalaysiaJEL Classifications: Q41; C39DOI: https://doi.org/10.32479/ijeep.8987

Highlights

  • As a global scenario, the increasing human population and energy consumption have placed pressure on the natural environment that leads to environmental changes (Chen et al, 2014)

  • Time series data such as population, gross domestic product (GDP) growth, electricity generation, and consumption were collected and extracted from Malaysia Energy Information Hub, while carbon emissions data were collected from international data sources such as World development indicators

  • Electricity generation was significantly correlated with electricity consumption (r = 0.998), CO2 emissions (r = 0.956), population (r = 0.978), and GDP (r = 0.956)

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Summary

INTRODUCTION

The increasing human population and energy consumption have placed pressure on the natural environment that leads to environmental changes (Chen et al, 2014). Chandran et al (2010) found that there is a statistically significant long-run elasticity of electricity consumption on GDP while the short-run shown unidirectional flow from electricity consumption to GDP They concluded that Malaysia is an energy-dependent country. The result shows bidirectional causality between electricity consumption and economic growth in Malaysia and Singapore, while a unidirectional causality between electricity consumption and economic growth in Indonesia and Thailand. The time series analysis, correlation, and multiple linear regressions were carried out to study the pattern and nexus of population, GDP growth, electricity generation, consumption, and carbon emissions in Malaysia using the time series data

ELECTRICITY GENERATION IN
DATA AND METHODS
B Standard error
DISCUSSIONS AND CONCLUSION
Findings
THE EFFECTS OF PREDICTORS ON CO2 EMISSIONS IN MALAYSIA
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