Modelling electricity demand in Ghana revisited: The role of policy regime changes
AbstractAs policy regime changes, demand elasticities are unlikely to be constant since individuals change how they form their expectations, and this will change the estimated decision rules. In this paper, the time-varying nature of electricity demand elasticities prior to and post the economic reform period in Ghana is analysed using the FM-OLS. Three different sample periods -pre-reform, post-reform, and full-period- was used in the analysis. The result from the full-sample period revealed that in the long-run electricity demand is significantly affected by industry efficiency, industry value added, and real per capita GDP. Urbanization rate, however, has no significant effect. The pre-reform estimate showed lower income, output, and urbanization elasticities but higher industry energy efficiency elasticity relative to the post-reform period. This suggests that technological change in the pre-reform period has been energy saving whilst technological change in the post reform period has been energy consuming. The result further showed evidence of changing structure of the economy from the more energy intensive sector to the less energy intensive sector after the reform. Government should renew her effort in promoting energy saving technologies in the industrial sector and adjust the industrial structure to encourage the expansion of low energy intensive industries or high technology efficient industries.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Energy Policy.
Volume (Year): 61 (2013)
Issue (Month): C ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/enpol
Electricity demand; Policy regime changes; Ghana;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Noel Alter & Shabib Haider Syed, 2011. "An Empirical Analysis of Electricity Demand in Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 1(4), pages 116-139.
- Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
- Wolde-Rufael, Yemane, 2006. "Electricity consumption and economic growth: a time series experience for 17 African countries," Energy Policy, Elsevier, vol. 34(10), pages 1106-1114, July.
- Jamil, Faisal & Ahmad, Eatzaz, 2011. "Income and price elasticities of electricity demand: Aggregate and sector-wise analyses," Energy Policy, Elsevier, vol. 39(9), pages 5519-5527, September.
- Narayan, Paresh Kumar & Smyth, Russell, 2005. "Electricity consumption, employment and real income in Australia evidence from multivariate Granger causality tests," Energy Policy, Elsevier, vol. 33(9), pages 1109-1116, June.
- Amusa, Hammed & Amusa, Kafayat & Mabugu, Ramos, 2009. "Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 37(10), pages 4167-4175, October.
- Adeyemi, Olutomi I. & Hunt, Lester C., 2007.
"Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change,"
Elsevier, vol. 29(4), pages 693-709, July.
- Olutomi I Adeyemi & Lester C. Hunt, 2006. "Modelling OECD Industrial Energy Demand: Asymmetric Price Responses and Energy – Saving Technical Change," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 115, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
- Nasr, G. E. & Badr, E. A. & Dibeh, G., 2000. "Econometric modeling of electricity consumption in post-war Lebanon," Energy Economics, Elsevier, vol. 22(6), pages 627-640, December.
- Cooley, Thomas F & Prescott, Edward C, 1973. "Tests of an Adaptive Regression Model," The Review of Economics and Statistics, MIT Press, vol. 55(2), pages 248-56, May.
- Phillips, Peter C B, 1995.
"Fully Modified Least Squares and Vector Autoregression,"
Econometric Society, vol. 63(5), pages 1023-78, September.
- Peter C.B. Phillips, 1993. "Fully Modified Least Squares and Vector Autoregression," Cowles Foundation Discussion Papers 1047, Cowles Foundation for Research in Economics, Yale University.
- Roula Inglesi-Lotz & James Blignaut, 2011.
"South Africa's Electricity Consumption: A Sectoral Decomposition Analysis,"
201105, University of Pretoria, Department of Economics.
- Inglesi-Lotz, Roula & Blignaut, James N., 2011. "South Africa’s electricity consumption: A sectoral decomposition analysis," Applied Energy, Elsevier, vol. 88(12), pages 4779-4784.
- Stock, James H & Watson, Mark W, 1996.
"Evidence on Structural Instability in Macroeconomic Time Series Relations,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 14(1), pages 11-30, January.
- James H. Stock & Mark W. Watson, 1994. "Evidence on structural instability in macroeconomic times series relations," Working Paper Series, Macroeconomic Issues 94-13, Federal Reserve Bank of Chicago.
- James H. Stock & Mark W. Watson, 1994. "Evidence on Structural Instability in Macroeconomic Time Series Relations," NBER Technical Working Papers 0164, National Bureau of Economic Research, Inc.
- Steenhof, Paul A., 2006. "Decomposition of electricity demand in China's industrial sector," Energy Economics, Elsevier, vol. 28(3), pages 370-384, May.
- Donald W.K. Andrews, 1990.
"Tests for Parameter Instability and Structural Change with Unknown Change Point,"
Cowles Foundation Discussion Papers
943, Cowles Foundation for Research in Economics, Yale University.
- Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
- Philip Kofi Adom, 2011. "Electricity Consumption-Economic Growth Nexus: The Ghanaian Case," International Journal of Energy Economics and Policy, Econjournals, vol. 1(1), pages 18-31, June.
- Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
- Glauco De Vita & Klaus Endresen & Lester C. Hunt, 2005.
"An Empirical Analysis of Energy Demand in Namibia,"
Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS)
110, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Paul Adjei Kwakwa, 2012. "Disaggregated Energy Consumption and Economic Growth in Ghana," International Journal of Energy Economics and Policy, Econjournals, vol. 2(1), pages 34-40.
- Donald W.K. Andrews & Werner Ploberger, 1992.
"Optimal Tests When a Nuisance Parameter Is Present Only Under the Alternative,"
Cowles Foundation Discussion Papers
1015, Cowles Foundation for Research in Economics, Yale University.
- Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
- Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
- Sa'ad, Suleiman, 2009. "Electricity demand for South Korean residential sector," Energy Policy, Elsevier, vol. 37(12), pages 5469-5474, December.
- Cooley, Thomas F & Prescott, Edward C, 1973. "An Adaptive Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 364-71, June.
- Inglesi, Roula, 2010. "Aggregate electricity demand in South Africa: Conditional forecasts to 2030," Applied Energy, Elsevier, vol. 87(1), pages 197-204, January.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
- Adom, Philip Kofi & Bekoe, William & Akoena, Sesi Kutri Komla, 2012. "Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach," Energy Policy, Elsevier, vol. 42(C), pages 530-537.
- M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
- Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S119-36, Suppl. De.
- Gonzales Chavez, S & Xiberta Bernat, J & Llaneza Coalla, H, 1999. "Forecasting of energy production and consumption in Asturias (northern Spain)," Energy, Elsevier, vol. 24(3), pages 183-198.
- Inglesi-Lotz, R., 2011. "The evolution of price elasticity of electricity demand in South Africa: A Kalman filter application," Energy Policy, Elsevier, vol. 39(6), pages 3690-3696, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.