Renewable Energy Consumption and SDG 7 Progress: The Case of MINT Countries

In the context of Mexico, Indonesia, Nigeria, and Turkey (MINT) countries, this study investigates the relationship between renewable energy consumption and access to clean fuels and technologies for cooking as well as access to electricity. When control variables and time-fixed effects were taken into account, panel data regressions were utilized to investigate the effects of specific SDG 7 indicators from the data of Sustainable Development Report for years 2000 – 2021, such as renewable energy consumption, access to clean fuels and technologies for cooking, and access to electricity. For the indicators of access to clean fuels and technologies for cooking, the results of panel data fixed effect regression as a best fit model are shown; these results are statistically significant (p < 0.01).

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Publication Details

Journal
International Journal of Energy Economics and Policy
Published
2025-04-21
DOI
https://doi.org/10.32479/ijeep.19161
Primary Topic
Energy and Environment Impacts
Type
article
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article

Renewable Energy Consumption and SDG 7 Progress: The Case of MINT Countries

Yesi Hendriani Supartoyo
International Journal of Energy Economics and Policy
Energy and Environment Impacts
article

Renewable Energy Consumption and SDG 7 Progress: The Case of MINT Countries

Yesi Hendriani Supartoyo
article en

Abstract

In the context of Mexico, Indonesia, Nigeria, and Turkey (MINT) countries, this study investigates the relationship between renewable energy consumption and access to clean fuels and technologies for cooking as well as access to electricity. When control variables and time-fixed effects were taken into account, panel data regressions were utilized to investigate the effects of specific SDG 7 indicators from the data of Sustainable Development Report for years 2000 – 2021, such as renewable energy consumption, access to clean fuels and technologies for cooking, and access to electricity. For the indicators of access to clean fuels and technologies for cooking, the results of panel data fixed effect regression as a best fit model are shown; these results are statistically significant (p < 0.01).

International Journal of Energy Economics and PolicyVol. 15(3)
National Research and Innovation Agency (ID)
Openalex Percentile: Top 94%
Energy and Environment Impacts
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