Econometric modeling of electricity consumption in post-war Lebanon

This paper applies econometric models to investigate determinants of electrical energy consumption in post-war Lebanon. The impact of the Gross Domestic Product (GDP), proxied by total imports (TI), and degree days (DD) on electricity consumption is investigated over different time spans covering the period from 1993 to 1997. The time spans are chosen according to the rationing level of electricity supply. For the 1993–1994 time span, TI is found to be a significant determinant of energy consumption, whereas, DD has a negative correlation. This inconsistency might be attributed to an extensive rationing policy followed during this period. For the 1995–1997 time span which includes reduced rationing period (1995), all electrical energy consumption determinants are found to be significant at the 5% significance level. Analysis results for the rationing free 1996–1997 time span also show the significance of TI and DD at the 5% level. Furthermore, cointegration analysis for the 1995–1997 and 1996–1997 subsets reveals the existence of a long-run relationship between all variables. In addition, error correction models for both subsets are developed to predict short-run dynamics. Finally, statistical performance measures such as mean square error, mean average deviation and mean average percentage error are presented for all models.

[1]  C. Granger,et al.  Spurious regressions in econometrics , 1974 .

[2]  C. Dahl A SURVEY OF ENERGY DEMAND ELASTICITIES FOR THE DEVELOPING WORLD , 1994 .

[3]  S. Johansen STATISTICAL ANALYSIS OF COINTEGRATION VECTORS , 1988 .

[4]  Ibrahim Dincer,et al.  ENERGY AND GDP , 1997 .

[5]  Jyoti K. Parikh,et al.  Energy demand forecasts with investment constraints , 1996 .

[6]  Jamal A. Al-Zayer,et al.  Modelling the impact of temperature on electricity consumption in the Eastern Province of Saudi Arabia , 1996 .

[7]  Robert F. Engle,et al.  Forecasting and testing in co-integrated systems , 1987 .

[8]  M. Nagy Eltony,et al.  Demand for natural gas in Kuwait: An empirical analysis using two econometric models , 1996 .

[9]  C. Nelson,et al.  Trends and random walks in macroeconmic time series: Some evidence and implications , 1982 .

[10]  M N Eltony,et al.  A COINTEGRATING RELATIONSHIP IN THE DEMAND FOR ENERGY: THE CASE OF ELECTRICITY IN KUWAIT , 1996 .

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

[12]  P. Perron,et al.  Trends and random walks in macroeconomic time series : Further evidence from a new approach , 1988 .

[13]  M. N. Eltony,et al.  Demand for gasoline in Kuwait: An empirical analysis using cointegration techniques , 1995 .

[14]  C. Dahl,et al.  A survey of oil product demand elasticities for developing countries , 1994 .

[15]  J. T. Connor,et al.  A robust neural network filter for electricity demand prediction , 1996 .

[16]  C. Balocco A statistical method to evaluate urban energy needs , 1997 .