THE EFFECT OF RENEWABLE ENERGY CONSUMPTION AND ENERGY INTENSITY ON THE ECONOMY

This study aims to analyze the influence of Renewable Energy Consumption and Energy Intensity on the economy in ASEAN. The variables used in this study consisted of Renewable Energy Consumption (REC), Energy Intensity (EI), and Gross Fixed Capital Formation (GFCF). This research method uses panel data regression analysis with the Random Effect Model. Where cross-sectional data are 7 ASEAN member countries and time series data from 2010-2021. The results of the study show that all variables, namely REC, EI and GFCF, are all significant to GDP. REC with a coefficient of -6,921,893 and a significance of 0.0000 < 0.05 so that REC has a negative impact on GDP in ASEAN. EI has a coefficient of -76,701.51 and a significance of 0.0000 < 0.05 so that EI has a negative impact on GDP. Meanwhile, GFCF has a coefficient of 91,930.69 and a significance of 0.0000 < 0.05 so that GFCF has a positive impact on GDP. The R2 value of 0.6083 can be concluded that the variation of these independent variables contributes 60.83 percent in GDP. While the rest are influenced by other factors that are not described in the model.

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Journal
International Journal of Accounting Management Economics and Social Sciences (IJAMESC)
Published
2025-08-20
DOI
https://doi.org/10.61990/ijamesc.v3i4.551
Primary Topic
Energy, Environment, and Transportation Policies
Type
article
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article

THE EFFECT OF RENEWABLE ENERGY CONSUMPTION AND ENERGY INTENSITY ON THE ECONOMY

Neli Aida, Toto Gunarto, N Sari
International Journal of Accounting Management Economics and Social Sciences (IJAMESC)
Energy, Environment, and Transportation Policies
article

THE EFFECT OF RENEWABLE ENERGY CONSUMPTION AND ENERGY INTENSITY ON THE ECONOMY

Neli Aida, Toto Gunarto, N Sari
article en

Abstract

This study aims to analyze the influence of Renewable Energy Consumption and Energy Intensity on the economy in ASEAN. The variables used in this study consisted of Renewable Energy Consumption (REC), Energy Intensity (EI), and Gross Fixed Capital Formation (GFCF). This research method uses panel data regression analysis with the Random Effect Model. Where cross-sectional data are 7 ASEAN member countries and time series data from 2010-2021. The results of the study show that all variables, namely REC, EI and GFCF, are all significant to GDP. REC with a coefficient of -6,921,893 and a significance of 0.0000 < 0.05 so that REC has a negative impact on GDP in ASEAN. EI has a coefficient of -76,701.51 and a significance of 0.0000 < 0.05 so that EI has a negative impact on GDP. Meanwhile, GFCF has a coefficient of 91,930.69 and a significance of 0.0000 < 0.05 so that GFCF has a positive impact on GDP. The R2 value of 0.6083 can be concluded that the variation of these independent variables contributes 60.83 percent in GDP. While the rest are influenced by other factors that are not described in the model.

International Journal of Accounting Management Economics and Social Sciences (IJAMESC)Vol. 3(4)
Lampung University (ID)
Openalex Percentile: Top 84%
Energy, Environment, and Transportation Policies
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