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Information Communication Technology development and energy demand in African countries

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  • Kouton, Jeffrey

Abstract

This paper investigates the relationship between ICT development and energy demand in 28 African countries for the period covering 2000 to 2014. ICT development is measured by the number of individuals using Internet and by the mobile cellular subscriptions. The study uses a dynamic energy demand model and adopts the System Generalized Method of Moments with a panel causality test. The results suggest that ICT development has a positive significant effect on energy demand, implying that the African countries under study have not yet achieved energy efficiency gains through ICT development. Unidirectional causal relationships from internet usage to energy demand and from energy demand to mobile cellular subscriptions are found. We found a bidirectional causality between mobile cellular subscriptions and electricity demand. Our results support that Africa needs to take advantage of the digital economic and that there is a potential leverage effect of energy on the development of mobile industry in Africa. Moreover, mobile technology can help in delivering electricity services and meet energy demand. The findings point out that internet usage reduces the demand of energy from other types of energy such as heat and transportation.

Suggested Citation

  • Kouton, Jeffrey, 2019. "Information Communication Technology development and energy demand in African countries," Energy, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219318870
    DOI: 10.1016/j.energy.2019.116192
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    as
    1. Esso, Loesse Jacques & Keho, Yaya, 2016. "Energy consumption, economic growth and carbon emissions: Cointegration and causality evidence from selected African countries," Energy, Elsevier, vol. 114(C), pages 492-497.
    2. Rao, Raghavendra D & Parikh, Jyoti K, 1996. "Forecast and analysis of demand for petroleum products in India," Energy Policy, Elsevier, vol. 24(6), pages 583-592, June.
    3. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    4. Hsing, Yu, 1994. "Estimation of residential demand for electricity with the cross-sectionally correlated and time-wise autoregressive model," Resource and Energy Economics, Elsevier, vol. 16(3), pages 255-263, August.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Eggoh, Jude C. & Khan, Muhammad, 2014. "On the nonlinear relationship between inflation and economic growth," Research in Economics, Elsevier, vol. 68(2), pages 133-143.
    7. Gang Liu, 2004. "Estimating Energy Demand Elasticities for OECD Countries. A Dynamic Panel Data Approach," Discussion Papers 373, Statistics Norway, Research Department.
    8. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    9. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    10. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    11. Cho, Youngsang & Lee, Jongsu & Kim, Tai-Yoo, 2007. "The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach," Energy Policy, Elsevier, vol. 35(9), pages 4730-4738, September.
    12. Vinayagathasan, Thanabalasingam, 2013. "Inflation and economic growth: A dynamic panel threshold analysis for Asian economies," Journal of Asian Economics, Elsevier, vol. 26(C), pages 31-41.
    13. Salahuddin, Mohammad & Alam, Khorshed & Ozturk, Ilhan, 2016. "The effects of Internet usage and economic growth on CO2 emissions in OECD countries: A panel investigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1226-1235.
    14. Munshi Naser Ibne Afzal & Munshi Naser Ibne Afzal & Jeff Gow & Jeff Gow, 2016. "Electricity Consumption and Information and Communication Technology in the Next Eleven Emerging Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 381-388.
    15. Shaikh, Faisal Karim & Zeadally, Sherali, 2016. "Energy harvesting in wireless sensor networks: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1041-1054.
    16. Walker, William, 1985. "Information technology and the use of energy," Energy Policy, Elsevier, vol. 13(5), pages 458-476, October.
    17. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    18. Takase, Kae & Murota, Yasuhiro, 2004. "The impact of IT investment on energy: Japan and US comparison in 2010," Energy Policy, Elsevier, vol. 32(11), pages 1291-1301, July.
    19. Yildirim, Ertugrul & Aslan, Alper, 2012. "Energy consumption and economic growth nexus for 17 highly developed OECD countries: Further evidence based on bootstrap-corrected causality tests," Energy Policy, Elsevier, vol. 51(C), pages 985-993.
    20. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    21. Odhiambo, Nicholas M., 2010. "Energy consumption, prices and economic growth in three SSA countries: A comparative study," Energy Policy, Elsevier, vol. 38(5), pages 2463-2469, May.
    22. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    23. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    24. Ozturk, Ilhan & Aslan, Alper & Kalyoncu, Huseyin, 2010. "Energy consumption and economic growth relationship: Evidence from panel data for low and middle income countries," Energy Policy, Elsevier, vol. 38(8), pages 4422-4428, August.
    25. Wolde-Rufael, Yemane, 2005. "Energy demand and economic growth: The African experience," Journal of Policy Modeling, Elsevier, vol. 27(8), pages 891-903, November.
    26. Belke, Ansgar & Dobnik, Frauke & Dreger, Christian, 2011. "Energy consumption and economic growth: New insights into the cointegration relationship," Energy Economics, Elsevier, vol. 33(5), pages 782-789, September.
    27. Azam, Muhammad & Khan, Abdul Qayyum & Bakhtyar, B. & Emirullah, Chandra, 2015. "The causal relationship between energy consumption and economic growth in the ASEAN-5 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 732-745.
    28. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    29. Sadorsky, Perry, 2012. "Information communication technology and electricity consumption in emerging economies," Energy Policy, Elsevier, vol. 48(C), pages 130-136.
    30. Alam, Mohammad Jahangir & Ahmed, Mumtaz & Begum, Ismat Ara, 2017. "Nexus between non-renewable energy demand and economic growth in Bangladesh: Application of Maximum Entropy Bootstrap approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 399-406.
    31. H. S. Houthakker & Philip K. Verleger & Dennis P. Sheehan, 1974. "Dynamic Demand Analyses for Gasoline and Residential Electricity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 412-418.
    32. Stock, James H. & Watson, Mark W., 1986. "Does GNP have a unit root?," Economics Letters, Elsevier, vol. 22(2-3), pages 147-151.
    33. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    34. Chakamera, Chengete & Alagidede, Paul, 2018. "Electricity crisis and the effect of CO2 emissions on infrastructure-growth nexus in Sub Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 945-958.
    35. Kivyiro, Pendo & Arminen, Heli, 2014. "Carbon dioxide emissions, energy consumption, economic growth, and foreign direct investment: Causality analysis for Sub-Saharan Africa," Energy, Elsevier, vol. 74(C), pages 595-606.
    36. Boukhelkhal, Abdelaziz & Bengana, Ismail, 2018. "Cointegration and causality among electricity consumption, economic, climatic and environmental factors: Evidence from North -Africa region," Energy, Elsevier, vol. 163(C), pages 1193-1206.
    37. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    38. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    39. Iniyan, S. & Suganthi, L. & Samuel, Anand A., 2006. "Energy models for commercial energy prediction and substitution of renewable energy sources," Energy Policy, Elsevier, vol. 34(17), pages 2640-2653, November.
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    3. Asif Khan & Wu Ximei, 2022. "Digital Economy and Environmental Sustainability: Do Information Communication and Technology (ICT) and Economic Complexity Matter?," IJERPH, MDPI, vol. 19(19), pages 1-21, September.
    4. Xu, Qiong & Zhong, Meirui & Li, Xin, 2022. "How does digitalization affect energy? International evidence," Energy Economics, Elsevier, vol. 107(C).
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    8. Bakry, Walid & Nghiem, Xuan-Hoa & Farouk, Sherine & Vo, Xuan Vinh, 2023. "Does it hurt or help? Revisiting the effects of ICT on economic growth and energy consumption: A nonlinear panel ARDL approach," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 597-617.
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    More about this item

    Keywords

    Africa; Energy demand; Information communication technology;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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