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Energy intensities for Canada

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  • Dincer, Ibrahim
  • Dost, Sadik

Abstract

The gross domestic product (GDP) measures the value of goods and services produced in a country in one year. There is a close relationship between the GDP and energy supply (and consumption). This relationship is a good indication of the level of economic development of a country. The GDP per capita is often used to measure the living standard of a country. Measures of the total energy use are useful for addressing energy intensity issues. Energy use is a numerator in determinating energy intensities. A commonly used and frequently quoted measure of energy use is the ratio of energy expenditure to GDP. Two types of energy intensities, namely TPES/GDP and TFC/GDP, are useful tools in making comparisons for both energy and GDP projections for countries. In this article we present evaluations and future projections for energy resources and energy intensities for Canada. The total primary energy supply (TPES) and total final energy consumption (TFEC), and energy intensities for supply and consumption are analyzed. The energy data are presented and analyses of the differences in energy and GDP ratios are carried out at an aggregate level by examining differences in factors affecting the energy intensities. In order to provide accurate projections for the future, new correlations were developed between the GDP, TPES, TFEC, TPES/GDP, TFEC/GDP, and population of Canada.

Suggested Citation

  • Dincer, Ibrahim & Dost, Sadik, 1996. "Energy intensities for Canada," Applied Energy, Elsevier, vol. 53(3), pages 283-298.
  • Handle: RePEc:eee:appene:v:53:y:1996:i:3:p:283-298
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    Cited by:

    1. Al-Ghandoor, A. & Jaber, J.O. & Al-Hinti, I. & Mansour, I.M., 2009. "Residential past and future energy consumption: Potential savings and environmental impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1262-1274, August.
    2. Yang, Guangfei & Li, Wenli & Wang, Jianliang & Zhang, Dongqing, 2016. "A comparative study on the influential factors of China's provincial energy intensity," Energy Policy, Elsevier, vol. 88(C), pages 74-85.
    3. Sozen, Adnan & Gulseven, Zafer & Arcaklioglu, Erol, 2007. "Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies," Energy Policy, Elsevier, vol. 35(12), pages 6491-6505, December.
    4. ToksarI, M. Duran, 2009. "Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey," Energy Policy, Elsevier, vol. 37(3), pages 1181-1187, March.
    5. Sozen, Adnan & Nalbant, Muammer, 2007. "Situation of Turkey's energy indicators among the EU member states," Energy Policy, Elsevier, vol. 35(10), pages 4993-5002, October.
    6. Duran Toksari, M., 2007. "Ant colony optimization approach to estimate energy demand of Turkey," Energy Policy, Elsevier, vol. 35(8), pages 3984-3990, August.
    7. Sözen, Adnan, 2009. "Future projection of the energy dependency of Turkey using artificial neural network," Energy Policy, Elsevier, vol. 37(11), pages 4827-4833, November.
    8. Sozen, Adnan & Arcaklioglu, Erol, 2007. "Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey," Energy Policy, Elsevier, vol. 35(10), pages 4981-4992, October.
    9. Canyurt, Olcay Ersel & Ozturk, Harun Kemal & Hepbasli, Arif & Utlu, Zafer, 2005. "Estimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approaches," Energy Policy, Elsevier, vol. 33(8), pages 1011-1019, May.
    10. Sözen, Adnan & Arcaklioglu, Erol & Özkaymak, Mehmet, 2005. "Turkey's net energy consumption," Applied Energy, Elsevier, vol. 81(2), pages 209-221, June.
    11. Al-Ghandoor, Ahmed & Samhouri, Murad & Al-Hinti, Ismael & Jaber, Jamal & Al-Rawashdeh, Mohammad, 2012. "Projection of future transport energy demand of Jordan using adaptive neuro-fuzzy technique," Energy, Elsevier, vol. 38(1), pages 128-135.
    12. Kankal, Murat & AkpInar, Adem & Kömürcü, Murat Ihsan & Özsahin, Talat Sükrü, 2011. "Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables," Applied Energy, Elsevier, vol. 88(5), pages 1927-1939, May.
    13. Hofman, Karen & Li, Xianguo, 2009. "Canada's energy perspectives and policies for sustainable development," Applied Energy, Elsevier, vol. 86(4), pages 407-415, April.
    14. Utlu, Zafer & Hepbasli, Arif, 2006. "Assessment of the energy utilization efficiency in the Turkish transportation sector between 2000 and 2020 using energy and exergy analysis method," Energy Policy, Elsevier, vol. 34(13), pages 1611-1618, September.
    15. Ozturk, Harun Kemal & Ceylan, Halim & Hepbasli, Arif & Utlu, Zafer, 2004. "Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(3), pages 289-302, June.

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