Skip to main content

Advertisement

Log in

Energy Dependence in Developing Countries: Does the Level of Income Matter?

  • Published:
Atlantic Economic Journal Aims and scope Submit manuscript

Abstract

This paper re-examines the causal relationship between energy consumption and economic growth in four developing countries. The four countries include two lower-middle income economies, Ghana and Cote d’Ivoire, and two upper-middle income economies, Brazil and Uruguay. The study attempts to answer one critical question: Is the causal relationship between energy consumption and economic growth sensitive to a country’s level of income? In order to account for the omission-of-variable bias, the study incorporates exports as an intermittent variable between energy consumption and economic growth—thereby creating a simple multivariate model. Using the auto-regressive distributed lag (ARDL)-bounds testing procedure, our results show that while energy consumption Granger-causes economic growth in upper-middle income countries, in lower-middle income countries it is economic growth that drives energy consumption.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. The ARDL cointegration approach has numerous advantages in comparison with other cointegration methods (see Odhiambo 2010; Harris and Sollis 2003 for more details).

References

  • Altinay, G., & Karagol, E. (2005). Electricity consumption and economic growth: evidence from Turkey. Energy Economics, 27, 849–856.

    Article  Google Scholar 

  • Asafu-Adjaye, J. (2000). The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries. Energy Economics, 22, 615–625.

    Article  Google Scholar 

  • Casselli, F., Esquivel, G., & Lefort, F. (1996). Reopening the convergence debate: a new look at cross-country growth empirics. Journal of Economic Growth, 1(3), 363–389.

    Article  Google Scholar 

  • Cheng, B. S. (1997). Energy consumption and economic growth in Brazil, Mexico and Venezuela: a time series analysis. Applied Economics Letters, 4, 671–674.

    Article  Google Scholar 

  • Cheng, B. S. (1999). Causality between energy consumption and economic growth in India: an application of cointegration and error-correction modeling. Indian Economic Review, 34(1), 39–49.

    Google Scholar 

  • Engle, R. F., & Granger, C. J. (1987). Cointegration and error-correction - representation, estimation and testing. Econometrica, 55, 251–278.

    Article  Google Scholar 

  • Ghirmay, T. (2004). Financial development and economic growth in sub-Saharan African countries: evidence from time Series analysis. African Development Review, 16, 415–432.

    Article  Google Scholar 

  • Gosh, S. (2002). Electricity consumption and economic growth in India. Energy Policy, 30, 125–129.

    Article  Google Scholar 

  • Harris, R., & Sollis, R. (2003). Applied time series modelling and forecasting. West Sussex: Wiley.

    Google Scholar 

  • Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, 231–254.

    Article  Google Scholar 

  • Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52, 169–210.

    Article  Google Scholar 

  • Masih, A. M. M., & Masih, R. (1996). Electricity consumption, real income and temporal causality: results from a multi-country study based on cointegration and error–correction modeling techniques. Energy Economics, 18, 165–183.

    Article  Google Scholar 

  • Morley, B. (2006). Causality between economic growth and migration: an ARDL bounds testing approach. Economics Letters, 90, 72–76.

    Article  Google Scholar 

  • Mozumder, P., & Marathe, A. (2007). Causality relationship between electricity consumption and GDP in Bangladesh. Energy Policy, 35, 395–402.

    Article  Google Scholar 

  • Narayan, P. K. (2005). The saving and investment nexus for China: evidence from cointegration tests. Applied Economics, 37, 1979–1990.

    Article  Google Scholar 

  • Narayan, P. K., & Smyth, R. (2006). Higher education, real income and real investment in China: evidence from Granger causality tests. Education Economics, 14, 107–125.

    Article  Google Scholar 

  • Narayan, P. K., & Smyth, R. (2008). Energy consumption and real GDP in G7 countries: new evidence from panel cointegration with structural breaks. Energy Economics, 30, 2331–2341.

    Article  Google Scholar 

  • Narayan, P. K., & Singh, B. (2007). The electricity consumption and GDP nexus for Fiji Islands. Energy Economics, 29, 1141–1150.

    Article  Google Scholar 

  • Newey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55, 703–708.

    Article  Google Scholar 

  • Odhiambo, N. M. (2008). Financial depth, savings and economic growth in Kenya: a dynamic causal linkage. Economic Modelling, 25(4), 704–713.

    Article  Google Scholar 

  • Odhiambo, N. M. (2010). Energy consumption, prices and economic growth in three SSA countries: a comparative study. Energy Policy, 38, 2463–2469.

    Article  Google Scholar 

  • Oh, W., & Lee, K. (2004). Energy consumption and economic growth in Korea: testing the causality relation. Journal of Policy Modeling, 26, 973–981.

    Article  Google Scholar 

  • Paul, S., & Bhattacharya, R. B. (2004). Causality between energy consumption and economic growth in India: a note on conflicting results. Energy Economics, 26, 977–983.

    Article  Google Scholar 

  • Pesaran, M., & Shin, Y. (1999). An autoregressive distributed lag modeling approach to cointegration analysis. In S. Strom (Ed.), Econometrics and economic theory in the 20th century: the Ragnar Frisch centennial Symposium. Cambridge: Cambridge University Press.

    Google Scholar 

  • Pesaran, M., Shin, Y., & Smith, R. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289–326.

    Article  Google Scholar 

  • Quah, D. (1993). Empirical cross-section dynamics in economic growth. European Economic Review, 37(2–3), 426–434.

    Article  Google Scholar 

  • Shiu, A., & Lam, P. L. (2004). Electricity consumption and economic growth in China. Energy Policy, 32, 47–54.

    Article  Google Scholar 

  • Soytas, U., & Sari, R. (2003). Energy consumption and GDP: causality relationship in G-7 countries and emerging markets. Energy Economics, 25, 33–37.

    Article  Google Scholar 

  • Wolde-Rufael, Y. (2006). Electricity consumption and economic growth: a time series experience for 17 African countries. Energy Policy, 34, 1106–1114.

    Article  Google Scholar 

  • Yoo, S. (2006). The causal relationship between electricity consumption and economic growth in ASEAN countries. Energy Policy, 34, 3573–3582.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicholas M. Odhiambo.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Odhiambo, N.M. Energy Dependence in Developing Countries: Does the Level of Income Matter?. Atl Econ J 42, 65–77 (2014). https://doi.org/10.1007/s11293-013-9402-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11293-013-9402-2

Keywords

JEL

Navigation