Climatic Change

, Volume 116, Issue 3–4, pp 805–825 | Cite as

Seasonal temperature variations and energy demand

A panel cointegration analysis for climate change impact assessment
  • Enrica De Cian
  • Elisa LanziEmail author
  • Roberto Roson


This paper presents an empirical study of the relationship between residential energy demand and temperature. Unlike previous studies in this field, the data sample has a global coverage and special emphasis is given to the heterogeneous response of different regions and to the contrasting effects on energy demand for cooling and heating purposes. To account for this we distinguish between different regions, seasons, and energy sources. Short- and long-run temperature demand elasticities are estimated. These features make the model results especially valuable in the analysis of climate change impacts as they provide an empirical basis for the study of the impact of climate change on energy demand. To illustrate the potential of the results as a basis for the study of climate change impacts, the estimates are used in a simple exercise that projects changes in energy demand due to temperatures increase in 2085.


Gross Domestic Product Energy Demand Unit Root Climate Change Impact Electricity Demand 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors would like to thank Francesco Bosello, Claudio Agostinelli and Andrea Bigano for their guidance, and Carlo Carraro and Ian Sue Wing for useful comments. Andrea Bigano, Francesco Bosello and Giuseppe Marano are also gratefully acknowledged for providing the initial dataset used for the analysis.


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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Fondazione Eni Enrico MatteiVeniceItaly
  2. 2.Economics DepartmentCa’ Foscari UniversityVeniceItaly
  3. 3.IEFE Bocconi UniversityMilanItaly

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