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Electricity consumption and GDP in an electricity community: Evidence from bound testing cointegration and Granger-causality tests

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  • Alinsato, Alastaire Sèna

Abstract

This study probes nexus between electricity consumption and GDP for the electricity community of Togo and Benin using ARDL bounds testing approach of cointegration. Long-run equilibrium has been established among these variables for Benin. The study further establishes long- and short-run Granger causality running from GDP to electricity consumption for Benin and short-run Granger causality running from GDP to electricity consumption for Togo. The results of the cointegration test and the causality reflect better the Benin and Togo economies that are less dependent on electricity. The absence of causality running from electricity consumption to GDP implies that electricity demand side management measures can be adopted to reduce the wastage of electricity, which would not affect future economic growth in the community.

Suggested Citation

  • Alinsato, Alastaire Sèna, 2009. "Electricity consumption and GDP in an electricity community: Evidence from bound testing cointegration and Granger-causality tests," MPRA Paper 20816, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:20816
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    References listed on IDEAS

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    Cited by:

    1. Shahbaz, Muhammad & Lean, Hooi Hooi, 2012. "The dynamics of electricity consumption and economic growth: A revisit study of their causality in Pakistan," Energy, Elsevier, vol. 39(1), pages 146-153.
    2. Tan Lee Pei & Mohd Shahidan Shaari & Tunku Salha Tunku Ahmad, 2016. "The Effects of Electricity Consumption on Agriculture, Service and Manufacturing Sectors in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 401-407.
    3. Alexis Vessat, 2016. "Energy Consumption-Economic Growth nexus in Sub-Saharan Countries: what can we learn from a meta-analysis? (1996-2016)," Post-Print hal-01944514, HAL.
    4. Asuamah Yeboah, Samuel, 2018. "Do government activities determine electricity consumption in Ghana? An empirical investigation," MPRA Paper 89408, University Library of Munich, Germany.

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    More about this item

    Keywords

    ARDL; cointegration; causality; growth; electricity;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • O19 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - International Linkages to Development; Role of International Organizations

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