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

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

Abstract

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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Bibliographic Info

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

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Web page: http://www.elsevier.com/locate/eneco

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Keywords: Electricity consumption Nonlinearity Panel smooth transition regression Real income Temperature;

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Cited by:
  1. Rosa Duarte & Vicente Pinilla & Ana Serrano, 2012. "Is there an environmental Kuznets curve for water use? A panel smooth transition regression approach," Documentos de Trabajo dt2012-03, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
  2. David Anthoff & Richard Tol, 2013. "The uncertainty about the social cost of carbon: A decomposition analysis using fund," Climatic Change, Springer, vol. 117(3), pages 515-530, April.
  3. John Foster & William Paul Bell & Craig Froome & Phil Wild & Liam Wagner & Deepak Sharma & Suwin Sandu & Suchi Misra & Ravindra Bagia, 2012. "Institutional adaptability to redress electricity infrastructure vulnerability due to climate change," Energy Economics and Management Group Working Papers 7-2012, School of Economics, University of Queensland, Australia.
  4. John Foster & William Paul Bell & Phil Wild & Deepak Sharma & Suwin Sandu & Craig Froome & Liam Wagner & Suchi Misra & Ravindra Bagia, 2013. "Analysis of institutional adaptability to redress electricity infrastructure vulnerability due to climate change," Energy Economics and Management Group Working Papers 6-2013, School of Economics, University of Queensland, Australia.
  5. Heshmati, Almas, 2012. "Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market," IZA Discussion Papers 6637, Institute for the Study of Labor (IZA).
  6. Vilim, Michael & Botterud, Audun, 2014. "Wind power bidding in electricity markets with high wind penetration," Applied Energy, Elsevier, vol. 118(C), pages 141-155.
  7. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
  8. repec:cge:warwcg:156 is not listed on IDEAS
  9. Grossi, Luigi & Waterson, Michael, 2013. "German Energy Market Fallout from the Japanese Earthquake," CAGE Online Working Paper Series 157, Competitive Advantage in the Global Economy (CAGE).

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