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Economic Development and Energy Intensity: a Panel Data Analysis

Author

Listed:
  • G. Destais
  • Julien Fouquau

    (LEO - Laboratoire d'économie d'Orleans - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Christophe Hurlin

    (LEO - Laboratoire d'économie d'Orleans - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

Abstract

The energy-GDP ratio, or ratio of total national primary energy consumption to GDP, is a measure of the Energy Intensity of the economy (henceforward noted as EI). It represents the energy required to generate a unit of national output. Its evolution over time shows whether the economy becomes more or less energy intensive. Projections of national energy demand under different growth scenarios depend upon the explicit or implicit value of this ratio. It can also be used to define an objective of energy policy.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • G. Destais & Julien Fouquau & Christophe Hurlin, 2006. "Economic Development and Energy Intensity: a Panel Data Analysis," Post-Print halshs-00257369, HAL.
  • Handle: RePEc:hal:journl:halshs-00257369
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00257369
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    Cited by:

    1. Chao Bi & Minna Jia & Jingjing Zeng, 2019. "Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach," Sustainability, MDPI, Open Access Journal, vol. 11(3), pages 1-21, January.
    2. Bessec, Marie & Fouquau, Julien, 2008. "The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach," Energy Economics, Elsevier, vol. 30(5), pages 2705-2721, September.
    3. Jobling, Andrew & Jamasb, Tooraj, 2017. "Price volatility and demand for oil: A comparative analysis of developed and developing countries," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 96-113.
    4. Duarte, Rosa & Pinilla, Vicente & Serrano, Ana, 2013. "Is there an environmental Kuznets curve for water use? A panel smooth transition regression approach," Economic Modelling, Elsevier, vol. 31(C), pages 518-527.
    5. Lei Jiang & Minhe Ji, 2016. "China’s Energy Intensity, Determinants and Spatial Effects," Sustainability, MDPI, Open Access Journal, vol. 8(6), pages 1-15, June.
    6. Djedje Hermann YOHOU & Michaël GOUJON & Bertrand LAPORTE & Samuel GUERINEAU, 2016. "Is Aid Unfriendly to Tax? African Evidence of Heterogeneous Direct and Indirect Effects," Working Papers 201608, CERDI.
    7. Julien Fouquau & Ghislaine Destais & Christophe Hurlin, 2009. "Energy demand models: a threshold panel specification of the 'Kuznets curve'," Applied Economics Letters, Taylor & Francis Journals, vol. 16(12), pages 1241-1244.
    8. Galindo, Luis Miguel & Samaniego, Joseluis, 2010. "The economics of climate change in Latin America and the Caribbean: stylized facts," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    9. Po-Chin Wu & Shiao-Yen Liu & Sheng-Chieh Pan, 2014. "Does Misery Index Matter for the Persistence of Health Spending? Evidence from OECD Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 893-910, September.
    10. repec:dau:papers:123456789/8180 is not listed on IDEAS
    11. Ivan Roberts & Trent Saunders & Gareth Spence & Natasha Cassidy, 2016. "China's Evolving Demand for Commodities," RBA Annual Conference Volume (Discontinued), in: Iris Day & John Simon (ed.),Structural Change in China: Implications for Australia and the World, Reserve Bank of Australia.
    12. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Roman Lesyk & Lilia Lesyk, 2018. "Evaluation of the Adaptability of the Ukrainian Economy to Changes in Prices for Energy Carriers and to Energy Market Risks," Energies, MDPI, Open Access Journal, vol. 11(12), pages 1-34, December.

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