IJAT Vol.8 No.5 pp. 626-633
doi: 10.20965/ijat.2014.p0626


Analysis of Energy Consumption Patterns and Climate Effects Using Panel Data

Michinori Uwasu, Keishiro Hara, and Hideki Kobayashi

Center for Environmental Innovation Design for Sustainability (CEIDS), Osaka University, 2-1 Yamadaoka, Suita 565-0871, Japan

April 1, 2014
July 30, 2014
September 5, 2014
energy consumption patterns, climate effects, GDP, energy technology
This paper investigates energy consumption patterns using panel data of final energy consumption and economic variables from 1970 to 2010 for more than 100 countries and regions. Although previous economic studies address the role of economic development and income as determinant factors of energy consumption, we examine how physical factors such as climate affects energy consumption level and patterns. By integrating economic and engineering approaches, we demonstrate statistical analyses showing that climate determines not only energy consumption levels, but also the relationship between energy consumption and income levels over time. While climate affects energy consumption patterns, our results suggest that energy technology and price policy are significant in determining whether a country can decouple energy consumption from economic growth.
Cite this article as:
M. Uwasu, K. Hara, and H. Kobayashi, “Analysis of Energy Consumption Patterns and Climate Effects Using Panel Data,” Int. J. Automation Technol., Vol.8 No.5, pp. 626-633, 2014.
Data files:
  1. [1] IEA, World Energy Outlook 2012, 2012.
  2. [2] Y. Chang, J. Lee, and H. Yoon, “Alternative Projection of the World Energy Consumption – In Comparison with the 2010 International Energy Outlook,” Energy Policy, Vol.50, pp. 154-160, 2012.
  3. [3] F. Kern and A. Smith, “Restructuring Energy Systems for Sustainability? Energy Transition Policy in the Netherlands,” Energy Policy, Vol.36, pp. 4093- 4103, 2008.
  4. [4] N. Apergis and C. F. Tang, “Is the Energy-led Growth Hypothesis Valid? New Evidence from a Sample of 85 Countries,” Energy Economics, Vol.38, pp. 24-31, 2013.
  5. [5] K. B. Medlock III, “Energy Demand Theory,” J. Evans and L. Hunt (Eds.), Edward Elgar, London, Int. Handbook of the Economics of Energy, 2009.
  6. [6] L. Pérez-Lombard, J. Ortiz, and C. Pout, “A Review on Buildings Energy Consumption Information,” Energy and Buildings, Vol.40, pp. 394-398, 2008.
  7. [7] A. D. Amato, M. Ruth, P. Kirshen, and J. Horwitz, “Regional Energy Demand Responses To Climate Change: Methodology And Application To The Commonwealth Of Massachusetts,” Climatic Change, Vol.71, pp. 175-201, 2005.
  8. [8] T. Frank, “Climate Change Impacts on Building Heating and Cooling Energy Demand in Switzerland,” Energy and Buildings, Vol.37, pp. 1175-1185, 2005.
  9. [9] IEA Int. Energy Agency, Key World Energy Statistics, 2012, [accessed on August 5, 2013].
  10. [10] World Bank, 2013, [accessed on December 28, 2012].
  11. [11] E. Holden, “Three Challenges for the Compact City as a Sustainable Urban Form: Household Consumption of Energy and Transport in Eight Residential Areas in the Greater Oslo Region,” Urban Studies, Vol.42, pp. 2145-2166, 2005.
  12. [12] Y. Ko, “Urban Form and Residential Energy Use – A Review of Design Principles and Research Findings,” J. of Planning Literature, Vol.28, pp. 327-351, 2013.
  13. [13] E. O’Driscoll, D. Óg Cusack, and G. E. O’Donnell, “The Characterisation of Energy Consumption in Manufacturing Facilities – A Hierarchical Approach,” Int. J. of Automation Technology, Vol.7, No.6, pp. 727-734, 2013.
  14. [14] M. Kottek, J. Griser, C. Beck, B. Rudolf, and F. Rubel, “World Map of the Koppen-Geiger Climate Classification,” Meteorologische Zeitschrift, Vol.15, pp. 259-263, 2000.
  15. [15] A. Summers and R. Heston, “Penn World Data,” 2013, index.php [accessed on March 15, 2014].
  16. [16] T. Luzzati and M. Orsini, “Investigating the energy-environmental Kuznets curve,” Energy, Vol.34, pp. 291-300, 2009.
  17. [17] J. Goldemberg and L. T. Siqueira Prado, “The Decline of the World’s Energy Intensity Original Research Article,” Energy Policy, Vol.39, pp. 1802-1805, 2011.
  18. [18] R. D. Cook and S.Weisberg, “Residuals and influence in regression,” Chapman & Hall, New York, NY, 1982.
  19. [19] W. Greene, “Econometric Analysis,” 6th (Ed.), Prentice Hall, New Jersey, 2008.
  20. [20] H. Hibino, T. Sakuma, and M. Yamaguchi, “Evaluation System for Energy Consumption and Productivity in Manufacturing System Simulation,” Int. J. of Automation Technology, Vol.6, No.3, pp. 279-288, 2012.
  21. [21] C. Park, K. Kwon, W. Kim, B. Min, S. Park, I. Sung, Y. Yoon, K. Lee, J. Lee, and J. Seok, “Energy Consumption Reduction Technology in Manufacturing – A Selective Review of Policies, Standards, and Research,” Int. J. of Precision Engineering and Manufacturing, Vol.10, No.5, pp. 151-173, 2009.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 22, 2024