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Energy demand models: a threshold panel specification of the 'Kuznets curve'

Author

Listed:
  • Julien Fouquau

    (Pôle Finance Responsable - Rouen Business School - Rouen Business School)

  • Ghislaine Destais

    (LEPII - Laboratoire d'Economie de la Production et de l'Intégration Internationale - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

  • Christophe Hurlin

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.

Suggested Citation

  • Julien Fouquau & Ghislaine Destais & Christophe Hurlin, 2009. "Energy demand models: a threshold panel specification of the 'Kuznets curve'," Post-Print halshs-00439387, HAL.
    • Handle: RePEc:hal:journl:halshs-00439387
    DOI: 10.1080/13504850701367197
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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. Ghislaine Destais, 2007. "Economic development and energy intensity : a panel data analysis," Post-Print halshs-00178438, HAL.
    3. 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.
    4. Jan Horst Keppler & Régis Bourbonnais & Jacques Girod (ed.), 2007. "The Econometrics of Energy Systems," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-62631-7, December.
    5. Ghislaine Destais & Julien Fouquau & Christophe Hurlin, 2007. "Economic Development and Energy Intensity: A Panel Data Analysis," Palgrave Macmillan Books, in: Jan Horst Keppler & Régis Bourbonnais & Jacques Girod (ed.), The Econometrics of Energy Systems, chapter 5, pages 98-120, Palgrave Macmillan.
    6. 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:

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    2. 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.
    3. 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.
    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. 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.
    7. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach," Energy Economics, Elsevier, vol. 33(5), pages 896-902, September.
    8. 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.
    9. 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.
    10. 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, vol. 11(3), pages 1-21, January.
    11. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Šević, Aleksandar, 2022. "Green bond market and Sentiment: Is there a switching Behaviour?," Journal of Business Research, Elsevier, vol. 141(C), pages 520-527.
    12. Brantley Liddle, 2022. "What Is the Temporal Path of the GDP Elasticity of Energy Consumption in OECD Countries? An Assessment of Previous Findings and New Evidence," Energies, MDPI, vol. 15(10), pages 1-12, May.
    13. Wang, Yu Shan, 2013. "Oil price effects on personal consumption expenditures," Energy Economics, Elsevier, vol. 36(C), pages 198-204.
    14. Roula Inglesi-Lotz & Jessika Bohlmann, 2014. "Environmental Kuznets curve in South Africa: To confirm or not to confirm?," EcoMod2014 6378, EcoMod.
    15. 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.
    16. 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.

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    Keywords

    energy demand model; energy elasticity;

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