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Club Convergence in the Energy Intensity of China

Author

Listed:
  • Dayong Zhang
  • David C. Broadstock

Abstract

We contribute to energy policy discourse in China by demonstrating the existence of multiple energy-intensity equilibria across its provinces. Using recently developed club convergence methods, we identify three unique clubs in China, each with markedly different energy intensity profiles. Unlike in previous studies, our club groupings do not strictly adhere to common geographic separations e.g. east, west and central divisions. To better understand what commonalities/disparities lay behind their groupings, we undertake a regression of the determinants of energy intensity, in a similar vein to a number of recent studies. Doing so, we demonstrate a number of significant differences in the determinants for each of the identified clubs, given which we are able to offer a rich set of policy implications. Not all determinants are common across the three clubs, and where they are common, they can differ both in magnitude and sign, reflecting the fundamental differences across the groups.

Suggested Citation

  • Dayong Zhang & David C. Broadstock, 2016. "Club Convergence in the Energy Intensity of China," The Energy Journal, , vol. 37(3), pages 137-158, July.
  • Handle: RePEc:sae:enejou:v:37:y:2016:i:3:p:137-158
    DOI: 10.5547/01956574.37.3.dzha
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    References listed on IDEAS

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    Cited by:

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    3. Yu, Yantuan & Zhang, Ning, 2026. "Revealing the power of market-based energy policy: Evidence from China's energy quota trading system using machine learning," Energy Policy, Elsevier, vol. 208(C).
    4. Yantuan Yu & Ning Zhang, 2025. "Revealing the Power of Market-Based Energy Policy: Evidence from China’s Energy Quota Trading System Using Machine Learning," Working papers 2025rwp-258, Yonsei University, Yonsei Economics Research Institute.
    5. Pinar, Mehmet, 2025. "Convergence in energy self-sufficiency: the role of renewable energy, fossil fuel rents, energy efficiency and gross domestic product per capita," Energy, Elsevier, vol. 326(C).

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