Aggregate electricity demand in South Africa: Conditional forecasts to 2030

In 2008, South Africa experienced a severe electricity crisis. Domestic and industrial electricity users had to suffer from black outs all over the country. It is argued that partially the reason was the lack of research on energy, locally. However, Eskom argues that the lack of capacity can only be solved by building new power plants. The objective of this study is to specify the variables that explain the electricity demand in South Africa and to forecast electricity demand by creating a model using the Engle-Granger methodology for co-integration and Error Correction models. By producing reliable results, this study will make a significant contribution that will improve the status quo of energy research in South Africa. The findings indicate that there is a long run relationship between electricity consumption and price as well as economic growth/income. The last few years in South Africa, price elasticity was rarely taken into account because of the low and decreasing prices in the past. The short-run dynamics of the system are affected by population growth, too After the energy crisis, Eskom, the national electricity supplier, is in search for substantial funding in order to build new power plants that will help with the envisaged lack of capacity that the company experienced. By using two scenarios for the future of growth, this study shows that the electricity demand will drop substantially due to the price policies agreed - until now - by Eskom and the National Energy Regulator South Africa (NERSA) that will affect the demand for some years.

[1]  Theodoros Zachariadis,et al.  An empirical analysis of electricity consumption in Cyprus , 2007 .

[2]  K. Anderson,et al.  Relative Living Standards in New Market Economies: Evidence from Central Asian Household Surveys , 2002 .

[3]  Massimo Filippini,et al.  Swiss residential demand for electricity , 1999 .

[4]  Emmanuel Ziramba,et al.  The demand for residential electricity in South Africa , 2008 .

[5]  Russell Smyth,et al.  Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities , 2007 .

[6]  Richard S. Eckaus,et al.  Modeling Climate Feedbacks to Electricity Demand: The Case of China , 2008 .

[7]  A. Murata,et al.  Electricity demand in the Chinese urban household-sector , 2008 .

[8]  Salah Abosedra,et al.  Electricity consumption and economic growth, the case of Lebanon , 2009 .

[9]  Ferda Halicioglu,et al.  Residential electricity demand dynamics in Turkey , 2007 .

[10]  Harun Kemal Ozturk,et al.  Forecasting total and industrial sector electricity demand based on genetic algorithm approach: Turkey case study , 2005 .

[11]  P. Leeflang,et al.  Estimation of the demand for electricity , 1987 .

[12]  Seung-Jun Kwak,et al.  Estimation of residential electricity demand function in Seoul by correction for sample selection bias , 2007 .

[13]  C. Granger,et al.  Co-integration and error correction: representation, estimation and testing , 1987 .

[14]  P. Howie,et al.  Electricity demand in Kazakhstan , 2007 .

[15]  Denis Bolduc,et al.  Quebec residential electricity demand: a microeconometric approach , 1996 .

[16]  H. S. Houthakker,et al.  Some Calculations on Electricity Consumption in Great Britain , 1951 .

[17]  G. Hondroyiannis Estimating residential demand for electricity in Greece , 2004 .

[18]  G. Westley Electricity Demand in a Developing Country , 1984 .

[19]  Anastassios Pouris,et al.  Energy and fuels research in South African universities : a comparative assessment , 2008 .

[20]  A. Pouris The price elasticity of electricity demand in South Africa , 1987 .

[21]  Ghassan Dibeh,et al.  Econometric modeling of electricity consumption in post-war Lebanon , 2000 .

[22]  G. Donatos,et al.  Residential demand for electricity: The case of Greece , 1991 .

[23]  P. Phillips Testing for a Unit Root in Time Series Regression , 1988 .

[24]  Lester C. Hunt,et al.  An empirical analysis of energy demand in Namibia , 2006 .

[25]  Yemane Wolde-Rufael,et al.  Coal consumption and economic growth revisited , 2010 .

[26]  S. Pachauri,et al.  Elasticities of electricity demand in urban Indian households , 2004 .

[27]  D. Kamerschen,et al.  The demand for residential, industrial and total electricity, 1973-1998 , 2004 .

[28]  R. Koenker,et al.  Residential demand for electricity : An econometric approach , 1979 .

[29]  Cheng Hsiao,et al.  Formulation and estimation of dynamic models using panel data , 1982 .

[30]  W. Fuller,et al.  Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .

[31]  W. Enders Applied Econometric Time Series , 1994 .

[32]  A. Al-Faris,et al.  The demand for electricity in the GCC countries , 2002 .

[33]  S. Johansen Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models , 1991 .

[34]  Anton Eberhard,et al.  South Africa's rapid electrification programme: Policy, institutional, planning, financing and technical innovations , 2008 .

[35]  Richard J. Smith,et al.  Bounds testing approaches to the analysis of level relationships , 2001 .

[36]  Ali Diabi The Demand for Electric Energy in Saudi Arabia: an Empirical Investigation , 1998 .

[37]  Theologos Dergiades,et al.  Estimating Residential Demand for Electricity in the United States, 1965-2006 , 2008 .

[38]  Russell Smyth,et al.  The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration , 2005 .

[39]  W. Fuller,et al.  LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME SERIES WITH A UNIT ROOT , 1981 .