Determinants of Energy Consumption in South Africa: Evidence from an ARDL Model (1980–2023).

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Title: Determinants of Energy Consumption in South Africa: Evidence from an ARDL Model (1980–2023).
Authors: Lefatsa, Palesa Milliscent1 (AUTHOR) lefatsap@ukzn.ac.za, Gumede, Sanele1 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 10, p2329. 29p.
Subject Terms: *Energy consumption, *Industrialization, *Econometric models, *South Africans, *Demographic characteristics, *Financial institutions, *Economic expansion
Geographic Terms: South Africa
Abstract: This study examines the determinants of energy consumption in South Africa over the period 1980–2023 using a multivariate time-series framework. Unlike conventional studies that focus primarily on the energy–growth nexus, this analysis incorporates financial development, industrialization, and population growth to provide a more comprehensive understanding of energy demand dynamics. The Autoregressive Distributed Lag (ARDL) approach is employed to estimate both short-run and long-run relationships. Unit root tests confirm that all variables are integrated of order one, justifying the application of the ARDL bounds testing approach. The results reveal the existence of a stable long-run relationship between energy consumption and its determinants. Industrialization and population growth emerge as the most significant drivers of energy demand in both the short and long run, reflecting South Africa's energy-intensive economic structure and rising demographic pressures. Financial development is found to have a positive and statistically significant effect, suggesting that improved access to credit stimulates energy consumption through increased investment and economic activity. In contrast, economic growth exhibits a positive but statistically insignificant long-run effect, indicating partial decoupling between output growth and energy demand. The error correction term is negative and statistically significant, confirming convergence to long-run equilibrium. Causality analysis further indicates that energy consumption is primarily driven by macroeconomic factors rather than acting as a leading indicator. The findings underscore the importance of industrial energy efficiency, population-responsive energy planning, and targeted financial support for sustainable energy investment. This study contributes to the literature by providing a comprehensive, country-specific analysis and offers policy-relevant insights for enhancing energy security and supporting sustainable economic development in South Africa. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Data: Determinants of Energy Consumption in South Africa: Evidence from an ARDL Model (1980–2023).
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2329. 29p.
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  Data: *<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Industrialization%22">Industrialization</searchLink><br />*<searchLink fieldCode="DE" term="%22Econometric+models%22">Econometric models</searchLink><br />*<searchLink fieldCode="DE" term="%22South+Africans%22">South Africans</searchLink><br />*<searchLink fieldCode="DE" term="%22Demographic+characteristics%22">Demographic characteristics</searchLink><br />*<searchLink fieldCode="DE" term="%22Financial+institutions%22">Financial institutions</searchLink><br />*<searchLink fieldCode="DE" term="%22Economic+expansion%22">Economic expansion</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22South+Africa%22">South Africa</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study examines the determinants of energy consumption in South Africa over the period 1980–2023 using a multivariate time-series framework. Unlike conventional studies that focus primarily on the energy–growth nexus, this analysis incorporates financial development, industrialization, and population growth to provide a more comprehensive understanding of energy demand dynamics. The Autoregressive Distributed Lag (ARDL) approach is employed to estimate both short-run and long-run relationships. Unit root tests confirm that all variables are integrated of order one, justifying the application of the ARDL bounds testing approach. The results reveal the existence of a stable long-run relationship between energy consumption and its determinants. Industrialization and population growth emerge as the most significant drivers of energy demand in both the short and long run, reflecting South Africa's energy-intensive economic structure and rising demographic pressures. Financial development is found to have a positive and statistically significant effect, suggesting that improved access to credit stimulates energy consumption through increased investment and economic activity. In contrast, economic growth exhibits a positive but statistically insignificant long-run effect, indicating partial decoupling between output growth and energy demand. The error correction term is negative and statistically significant, confirming convergence to long-run equilibrium. Causality analysis further indicates that energy consumption is primarily driven by macroeconomic factors rather than acting as a leading indicator. The findings underscore the importance of industrial energy efficiency, population-responsive energy planning, and targeted financial support for sustainable energy investment. This study contributes to the literature by providing a comprehensive, country-specific analysis and offers policy-relevant insights for enhancing energy security and supporting sustainable economic development in South Africa. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/en19102329
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 29
        StartPage: 2329
    Subjects:
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Industrialization
        Type: general
      – SubjectFull: Econometric models
        Type: general
      – SubjectFull: South Africans
        Type: general
      – SubjectFull: Demographic characteristics
        Type: general
      – SubjectFull: Financial institutions
        Type: general
      – SubjectFull: Economic expansion
        Type: general
      – SubjectFull: South Africa
        Type: general
    Titles:
      – TitleFull: Determinants of Energy Consumption in South Africa: Evidence from an ARDL Model (1980–2023).
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            NameFull: Lefatsa, Palesa Milliscent
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            NameFull: Gumede, Sanele
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            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 19
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              Value: 10
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            – TitleFull: Energies (19961073)
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