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Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach

  • Lee, Chien-Chiang
  • Chiu, Yi-Bin

This study applies a non-linear model, i.e. the recently developed panel smooth transition regression (PSTR) model, and takes into account the potential endogeneity biases to investigate the demand function of electricity for 24 OECD countries from the period 1978-2004. Our empirical results demonstrate that there is a strongly non-linear link among electricity consumption, real income, electricity price, and temperature, a result that is new to the literature. As real income rises, electricity consumption rapidly increases first, and after the level of real income exceeds approximately US$2500, its increasing rate turns slow down. An increase in electricity price has a negative or no influence on electricity consumption. Evidence of a U-shaped relationship between electricity consumption and temperature is supported, and the threshold value of temperature is approximately 53 °F, which is endogenously determined. Furthermore, the estimated elasticities of time dynamic indicate that electricity demand is income inelastic, price inelastic, and temperature inelastic. As time goes on, the absolute elasticities of electricity demand gradually decrease with respect to real GDP and electricity price, whereas they gradually increase with respect to temperature, suggesting that the impact of temperature on electricity demand is becoming more important in recent years.

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Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 33 (2011)
Issue (Month): 5 (September)
Pages: 896-902

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Handle: RePEc:eee:eneeco:v:33:y:2011:i:5:p:896-902
Contact details of provider: Web page: http://www.elsevier.com/locate/eneco

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  1. Gilbert Colletaz & Christophe Hurlin, 2008. "Threshold Effects in the Public Capital Productivity: An International Panel Smooth Transition Approach," Working Papers halshs-00724208, HAL.
  2. Ruth, Matthias & Lin, Ai-Chen, 2006. "Regional energy demand and adaptations to climate change: Methodology and application to the state of Maryland, USA," Energy Policy, Elsevier, vol. 34(17), pages 2820-2833, November.
  3. Julien FOUQUAU & Christophe HURLIN & Isabelle RABAUD, 2006. "The Feldstein-Horioka Puzzle : a Panel Smooth Transition Regression Approach," LEO Working Papers / DR LEO 1610, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
  4. Andres Gonzalez & Timo Terasvirta & Dick van Dijk, 2005. "Panel Smooth Transition Regression Models," Research Paper Series 165, Quantitative Finance Research Centre, University of Technology, Sydney.
  5. I.O. Walker & Franz Wirl, 1993. "Irreversible Price-Induced Efficiency Improvements: Theory and Empirical Application to Road Transportation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 183-205.
  6. Julien Fouquau, 2008. "The Non-Linear Link between Electricity Consumption and Temperature in Europe: a Threshold Panel Approach," Post-Print halshs-00360442, HAL.
  7. Mozumder, Pallab & Marathe, Achla, 2007. "Causality relationship between electricity consumption and GDP in Bangladesh," Energy Policy, Elsevier, vol. 35(1), pages 395-402, January.
  8. Bentzen, Jan & Engsted, Tom, 2001. "A revival of the autoregressive distributed lag model in estimating energy demand relationships," Energy, Elsevier, vol. 26(1), pages 45-55.
  9. van Dijk, D.J.C. & Terasvirta, T. & Franses, Ph.H.B.F., 2000. "Smooth transition autoregressive models - A survey of recent developments," Econometric Institute Research Papers EI 2000-23/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  10. Chien-Chiang Lee & Jun-De Lee, 2010. "A Panel Data Analysis of the Demand for Total Energy and Electricity in OECD Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-24.
  11. Sophie Béreau & Antonia Lopez Villavicencio & Valérie Mignon, 2008. "Nonlinear Adjustment of the Real Exchange Rate Towards its Equilibrium Value: a Panel Smooth Transition Error Correction Modelling," Working Papers 2008-23, CEPII research center.
  12. Ouédraogo, Idrissa M., 2010. "Electricity consumption and economic growth in Burkina Faso: A cointegration analysis," Energy Economics, Elsevier, vol. 32(3), pages 524-531, May.
  13. Galindo, Luis Miguel, 2005. "Short- and long-run demand for energy in Mexico: a cointegration approach," Energy Policy, Elsevier, vol. 33(9), pages 1179-1185, June.
  14. Diks, C.G.H. & Panchenko, V., 2004. "A new statistic and practical guidelines for nonparametric Granger causality testing," CeNDEF Working Papers 04-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  15. Jumbe, Charles B. L., 2004. "Cointegration and causality between electricity consumption and GDP: empirical evidence from Malawi," Energy Economics, Elsevier, vol. 26(1), pages 61-68, January.
  16. Hsing, Yu, 1994. "Estimation of residential demand for electricity with the cross-sectionally correlated and time-wise autoregressive model," Resource and Energy Economics, Elsevier, vol. 16(3), pages 255-263, August.
  17. Lee, Chien-Chiang & Chang, Chun-Ping, 2007. "Energy consumption and GDP revisited: A panel analysis of developed and developing countries," Energy Economics, Elsevier, vol. 29(6), pages 1206-1223, November.
  18. Bentzen, Jan & Engsted, Tom, 1993. "Short- and long-run elasticities in energy demand : A cointegration approach," Energy Economics, Elsevier, vol. 15(1), pages 9-16, January.
  19. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
  20. Gang Liu, 2004. "Estimating Energy Demand Elasticities for OECD Countries. A Dynamic Panel Data Approach," Discussion Papers 373, Statistics Norway, Research Department.
  21. Fung, W.Y. & Lam, K.S. & Hung, W.T. & Pang, S.W. & Lee, Y.L., 2006. "Impact of urban temperature on energy consumption of Hong Kong," Energy, Elsevier, vol. 31(14), pages 2623-2637.
  22. Hesse, Dieter M & Tarkka, Helena, 1986. " The Demand for Capital, Labor and Energy in European Manufacturing Industry before and after the Oil Price Shocks," Scandinavian Journal of Economics, Wiley Blackwell, vol. 88(3), pages 529-46.
  23. Ferguson, Ross & Wilkinson, William & Hill, Robert, 2000. "Electricity use and economic development," Energy Policy, Elsevier, vol. 28(13), pages 923-934, November.
  24. Mirasgedis, S. & Sarafidis, Y. & Georgopoulou, E. & Lalas, D.P. & Moschovits, M. & Karagiannis, F. & Papakonstantinou, D., 2006. "Models for mid-term electricity demand forecasting incorporating weather influences," Energy, Elsevier, vol. 31(2), pages 208-227.
  25. Olatubi, Williams O. & Zhang, Yan, 2003. "A Dynamic Estimation of Total Energy Demand for the Southern States," The Review of Regional Studies, Southern Regional Science Association, vol. 33(2), pages 206-28.
  26. Al-Iriani, Mahmoud A., 2005. "Climate-related electricity demand-side management in oil-exporting countries--the case of the United Arab Emirates," Energy Policy, Elsevier, vol. 33(18), pages 2350-2360, December.
  27. Wirl, Franz, 1991. "Energy demand and consumer price expectations : An empirical investigation of the consequences from the recent oil price collapse," Resources and Energy, Elsevier, vol. 13(3), pages 241-262, September.
  28. Huang, Bwo-Nung & Hwang, M.J. & Yang, C.W., 2008. "Does more energy consumption bolster economic growth An application of the nonlinear threshold regression model," Energy Policy, Elsevier, vol. 36(2), pages 755-767, February.
  29. repec:dau:papers:123456789/8180 is not listed on IDEAS
  30. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
  31. Pardo, Angel & Meneu, Vicente & Valor, Enric, 2002. "Temperature and seasonality influences on Spanish electricity load," Energy Economics, Elsevier, vol. 24(1), pages 55-70, January.
  32. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  33. Koli Fatai & Les Oxley & Frank G. Scrimgeour, 2003. "Modeling and Forecasting the Demand for Electricity in New Zealand: A Comparison of Alternative Approaches," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-102.
  34. Lee, Chien-Chiang & Lee, Jun-De, 2009. "Energy prices, multiple structural breaks, and efficient market hypothesis," Applied Energy, Elsevier, vol. 86(4), pages 466-479, April.
  35. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
  36. Haas, Reinhard & Schipper, Lee, 1998. "Residential energy demand in OECD-countries and the role of irreversible efficiency improvements," Energy Economics, Elsevier, vol. 20(4), pages 421-442, September.
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