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Province-level Convergence of China CO2 Emission Intensity

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  • Zhao, Xueting
  • Burnett, J. Wesley
  • Lacombe, Donald J.

Abstract

This study offers a unique contribution to the literature by investigating the convergence of province-level carbon dioxide emission intensity among a panel of 30 provinces in China over the period 1990-2010. We use a novel, spatial dynamic panel data model to evaluate an empirically testable hypothesis of convergence among provinces. Our results suggest that: (1) CO2 emission intensities are converging across provinces in China; (2) the rate of convergence is higher with the dynamic panel data model than the cross-sectional regression models; and, (3) province-level CO2 emission intensities are spatially correlated and the rate of convergence, when controlling for spatial autocorrelation, is higher than with the non-spatial models.

Suggested Citation

  • Zhao, Xueting & Burnett, J. Wesley & Lacombe, Donald J., 2014. "Province-level Convergence of China CO2 Emission Intensity," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169403, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea14:169403
    DOI: 10.22004/ag.econ.169403
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    Cited by:

    1. Jiang, Lei & Folmer, Henk & Ji, Minhe & Zhou, P., 2018. "Revisiting cross-province energy intensity convergence in China: A spatial panel analysis," Energy Policy, Elsevier, vol. 121(C), pages 252-263.
    2. Ahmed, Mumtaz & Khan, Atif Maqbool & Bibi, Salma & Zakaria, Muhammad, 2017. "Convergence of per capita CO2 emissions across the globe: Insights via wavelet analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 86-97.

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    Environmental Economics and Policy; Resource /Energy Economics and Policy;

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