Revisiting residential demand for electricity in Greece: new evidence from the ARDL approach to cointegration analysis

This article re-examines the long-run and short-run determinants of the aggregate residential demand for electricity in Greece using data spanning the period 1964–2006 and the recently advanced ARDL cointegrating method (Pesaran, J Appl Econ 16:289–326, 2001) that has not been hitherto applied to Greek data. The results of the ARDL method combined with the (Johansen, J Econ Dyn Control 12:231–254, 1988) cointegration method show the presence of an equilibrium relationship among the variables involved. These findings may shed new light on the contemplation of more effective energy policies with respect to electricity.

[1]  T. Johansson,et al.  European renewable energy policy at crossroads--Focus on electricity support mechanisms , 2008 .

[2]  M. Bahmani-Oskooee,et al.  A disaggregated approach to test the J-Curve phenomenon: Japan versus her major trading partners , 2003 .

[3]  M. Pesaran,et al.  Structural analysis of vector error correction models with exogenous I(1) variables , 2000 .

[4]  Søren Johansen,et al.  A Small Sample Correction for the Test of Cointegrating Rank in the Vector Autoregressive Model , 2002 .

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

[6]  Agis M. Papadopoulos,et al.  Supporting schemes for renewable energy sources and their impact on reducing the emissions of greenhouse gases in Greece , 2008 .

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

[8]  S. Johansen,et al.  Asymptotic Inference on Cointegrating Rank in Partial Systems , 1998 .

[9]  S. Mirasgedis,et al.  A multiple criteria decision-aid approach in defining national priorities for greenhouse gases emissions reduction in the energy sector , 2003, Eur. J. Oper. Res..

[10]  Frederick L. Joutz,et al.  Residential electricity demand in Taiwan , 2004 .

[11]  Hiro Y. Toda Finite Sample Performance of Likelihood Ratio Tests for Cointegrating Ranks in Vector Autoregressions , 1995, Econometric Theory.

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

[13]  G. Schwert,et al.  Tests for Unit Roots: a Monte Carlo Investigation , 1988 .

[14]  Paul Newbold,et al.  Spurious rejections by Dickey-Fuller tests in the presence of a break under the null , 1998 .

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

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

[17]  Yasuhiro Fuwa,et al.  Decision-making in electrical appliance use in the home , 2008 .

[18]  W. Hogan A dynamic putty-semi-putty model of aggregate energy demand , 1989 .

[19]  J. Stock,et al.  Efficient Tests for an Autoregressive Unit Root , 1992 .

[20]  C. Granger Investigating Causal Relations by Econometric Models and Cross-Spectral Methods , 1969 .

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

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

[23]  M. Hashem Pesaran,et al.  Working with Microfit 4.0 : interactive econometric analysis , 1997 .

[24]  D. R. Bohi,et al.  An Update on Econometric Studies of Energy Demand , 1984 .

[25]  J. Bentzen,et al.  A revival of the autoregressive distributed lag model in estimating energy demand relationships , 1999 .

[26]  Anders Rahbek,et al.  Cointegration rank inference with stationary regressors in VAR models , 1999 .

[27]  P. Narayan,et al.  The saving and investment nexus for China: evidence from cointegration tests , 2005 .

[28]  Shigeyuki Hamori,et al.  Change in consumer sensitivity to electricity prices in response to retail deregulation: A panel empirical analysis of the residential demand for electricity in the United States , 2010 .

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

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

[31]  N. Meyer European schemes for promoting renewables in liberalised markets , 2003 .

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

[33]  Walter Krämer,et al.  Testing for structural change in the presence of long memory , 2000 .

[34]  Mark C. Strazicich,et al.  Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks , 2003, Review of Economics and Statistics.

[35]  Haiyan Song,et al.  Car ownership and use in Britain: a comparison of the empirical results of alternative cointegration estimation methods and forecasts , 2001 .

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

[37]  Lester D. Taylor,et al.  The demand for electricity: a survey , 1975 .

[38]  Suleiman Sa'ad,et al.  Electricity demand for South Korean residential sector , 2009 .

[39]  Junsoo Lee,et al.  Minimum LM Unit Root Test with One Structural Break , 2004 .

[40]  J. Durbin,et al.  Techniques for Testing the Constancy of Regression Relationships Over Time , 1975 .

[41]  H. Amusa,et al.  Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration , 2009 .

[42]  A. Dagoumas,et al.  A post-Kyoto analysis of the Greek electric sector , 2007 .

[43]  J. Silk,et al.  Short and long-run elasticities in US residential electricity demand: a co-integration approach , 1997 .

[44]  F. Fisher,et al.  A study in econometrics : the demand for electricity in the United States , 1964 .

[45]  K. Lai,et al.  FINITE-SAMPLE SIZES OF JOHANSEN'S LIKELIHOOD RATIO TESTS FOR COINTEGRATION , 2009 .