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Seasonal Patterns of Energy in China

Author

Listed:
  • Maria J. Herrerias
  • Eric Girardin

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper provides evidence on the relevance of modeling adequately the seasonal character of coal and electricity production across Chinese regions. Unlike other work, this paper relaxes the assumption of deterministic seasonality, allowing for time and regional variation in this economy. More specifically, we analyze and distinguish the type of seasonality around the year that prevails in the case of coal and electricity production of each individual Chinese province. Our results indicate that for the majority of the provinces seasonality is stochastic in both types of energy considered. Our findings provide new evidence of a Lunar New-Year effect in February and Summer as well as Winter effects in coal and electricity production. However, in terms of seasonal patterns and their evolution over time, there are significant differences between the Northern Southern regions. Besides for each type of energy, regional clusters matter for the appropriate design of energy-development policy.

Suggested Citation

  • Maria J. Herrerias & Eric Girardin, 2013. "Seasonal Patterns of Energy in China," Post-Print hal-01499617, HAL.
  • Handle: RePEc:hal:journl:hal-01499617
    DOI: 10.5547/01956574.34.2.6
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    Cited by:

    1. Bigerna, Simona, 2018. "Estimating temperature effects on the Italian electricity market," Energy Policy, Elsevier, vol. 118(C), pages 257-269.
    2. Herrerias, M.J. & Aller, Carlos & Ordóñez, Javier, 2017. "Residential energy consumption: A convergence analysis across Chinese regions," Energy Economics, Elsevier, vol. 62(C), pages 371-381.
    3. Gatfaoui, Jamel & Girardin, Eric, 2015. "Comovement of Chinese provincial business cycles," Economic Modelling, Elsevier, vol. 44(C), pages 294-306.

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    JEL classification:

    • F0 - International Economics - - General

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