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Energy Demand Models: A Threshold Panel Specification of the "Kuznets Curve"

Author

Listed:
  • G. Destais

    ()

  • Julien Fouquau

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

  • C. Hurlin

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

Abstract

This article proposes an original panel specification of the energy demand model. Based on panel threshold regression models, we derive country-specific and time-specific energy elasticity. We find a fall of the elasticity when the income level increase.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • G. Destais & Julien Fouquau & C. Hurlin, 2007. "Energy Demand Models: A Threshold Panel Specification of the "Kuznets Curve"," Post-Print halshs-00222786, HAL.
  • Handle: RePEc:hal:journl:halshs-00222786
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00222786
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    References listed on IDEAS

    as
    1. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    2. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    3. G. Destais & Julien Fouquau & C. Hurlin, 2006. "Economic Development and Energy Intensity: a Panel Data Analysis," Post-Print halshs-00222798, HAL.
    4. Ang, B. W., 1987. "A cross-sectional analysis of energy--output correlation," Energy Economics, Elsevier, vol. 9(4), pages 274-286, October.
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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. Djeneba Doumbia, 2019. "The quest for pro-poor and inclusive growth: the role of governance," Applied Economics, Taylor & Francis Journals, vol. 51(16), pages 1762-1783, April.
    3. 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.
    4. Ahamada, Ibrahim & Coulibaly, Dramane, 2011. "How does financial development influence the impact of remittances on growth volatility?," Economic Modelling, Elsevier, vol. 28(6), pages 2748-2760.
    5. Lee, Chien-Chiang & Chiu, Yi-Bin, 2013. "Modeling OECD energy demand: An international panel smooth transition error-correction model," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 372-383.
    6. Wang, Yu Shan, 2013. "Oil price effects on personal consumption expenditures," Energy Economics, Elsevier, vol. 36(C), pages 198-204.
    7. Roula Inglesi-Lotz & Jessika Bohlmann, 2014. "Environmental Kuznets curve in South Africa: To confirm or not to confirm?," EcoMod2014 6378, EcoMod.
    8. Hao, Yu & Wei, Yi-Ming, 2015. "When does the turning point in China's CO2 emissions occur? Results based on the Green Solow model," Environment and Development Economics, Cambridge University Press, vol. 20(6), pages 723-745, December.
    9. Lena Dr䧥r & Jan-Oliver Menz & Ulrich Fritsche, 2014. "Perceived inflation under loss aversion," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 282-293, January.
    10. Mohsen Mehrara, 2011. "Pollution, Energy Consumption and Economic Growth: evidence from India, China and Brazil," Journal of Social and Development Sciences, AMH International, vol. 2(5), pages 233-242.
    11. Gengnan Chiang & Ming-Yi Wu, 2017. "The Richer the Greener: Evidence from G7 Countries," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(10), pages 11-20, October.
    12. Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.

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