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Industrial Carbon Emissions of China’s Regions: A Spatial Econometric Analysis

Author

Listed:
  • Yu Liu

    (Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China)

  • Hongwei Xiao

    (Economic Forecasting Department, State Information Center, Beijing 100045, China)

  • Ning Zhang

    (School of Economics, Jinan University, Guangzhou 510632, China)

Abstract

This paper proposes an extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to investigate the factors driving industrial carbon emissions in China. In the first stage, a spatial Durbin model is applied to investigate the determinants of regional industrial carbon emissions. In the second stage, a geographically and temporally weighted regression is applied to investigate temporal and spatial variations in the impacts of these driving factors on the scale and intensity of regional industrial carbon emissions. The empirical results suggest that the provinces with low carbon emissions act as exemplars for those with high carbon emissions and that driving factors impact carbon emission both directly and indirectly. All of the factors were investigated, except energy intensity, energy price, and openness, significantly impact carbon emissions. Overall, the results suggest that spatial correlation, heterogeneity, and spillover effects should be taken into account when formulating policies aiming at reducing industrial carbon emissions. The paper concludes with relevant policy recommendations taking full account of the regional industrial carbon emissions, heterogeneity and spillover.

Suggested Citation

  • Yu Liu & Hongwei Xiao & Ning Zhang, 2016. "Industrial Carbon Emissions of China’s Regions: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 8(3), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:3:p:210-:d:64706
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    References listed on IDEAS

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    1. Yu Liu & Hongwei Xiao & Precious Zikhali & Yingkang Lv, 2014. "Carbon Emissions in China: A Spatial Econometric Analysis at the Regional Level," Sustainability, MDPI, vol. 6(9), pages 1-19, September.
    2. Shi, Anqing, 2003. "The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data," Ecological Economics, Elsevier, vol. 44(1), pages 29-42, February.
    3. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    4. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    5. Richard York & Eugene A. Rosa & Thomas Dietz, 2002. "Bridging Environmental Science with Environmental Policy: Plasticity of Population, Affluence, and Technology," Social Science Quarterly, Southwestern Social Science Association, vol. 83(1), pages 18-34, March.
    6. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    7. Jianjun Wang & Li Li & Fan Zhang & Qiannan Xu, 2014. "Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis," Sustainability, MDPI, vol. 6(5), pages 1-17, May.
    8. Wei, Chu & Ni, Jinlan & Du, Limin, 2012. "Regional allocation of carbon dioxide abatement in China," China Economic Review, Elsevier, vol. 23(3), pages 552-565.
    9. Raskin, Paul D., 1995. "Methods for estimating the population contribution to environmental change," Ecological Economics, Elsevier, vol. 15(3), pages 225-233, December.
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    Cited by:

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