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Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China

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  • Zhang, Chuanguo
  • Nian, Jiang

Abstract

With rapid economic growth, the transport sector plays an important role in China′s CO2 emissions. The existing research is extensively concerned with transport sector CO2 emissions in recent years, but little attention has been paid to regional differences. This paper investigates CO2 emissions in the transport sector at the national and regional levels using the STIRPAT model and provincial panel data from 1995 to 2010 in China. The results showed that passenger transport dominates CO2 emissions in the transport sector, but its influence varies across regions. Electrification has significant potential to lower CO2 emissions because of resulting higher fuel efficiency and reduced pollution. Energy efficiency improvement is effective but limited in reducing emissions due to increasing demand from economic development and population growth. These results not only contribute to advancing the existing literature, but also merit particular attention from policy makers in China.

Suggested Citation

  • Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.
  • Handle: RePEc:eee:enepol:v:63:y:2013:i:c:p:918-926 DOI: 10.1016/j.enpol.2013.07.142
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    Cited by:

    1. Jie-fang Dong & Qiang Wang & Chun Deng & Xing-min Wang & Xiao-lei Zhang, 2016. "How to Move China toward a Green-Energy Economy: From a Sector Perspective," Sustainability, MDPI, Open Access Journal, vol. 8(4), pages 1-18, April.
    2. Laureti, Tiziana & Montero, José-María & Fernández-Avilés, Gema, 2014. "A local scale analysis on influencing factors of NOx emissions: Evidence from the Community of Madrid, Spain," Energy Policy, Elsevier, vol. 74(C), pages 557-568.
    3. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, pages 800-809.
    4. repec:gam:jsusta:v:8:y:2016:i:4:p:337:d:67674 is not listed on IDEAS
    5. Wu, Lifeng & Liu, Sifeng & Liu, Dinglin & Fang, Zhigeng & Xu, Haiyan, 2015. "Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model," Energy, Elsevier, vol. 79(C), pages 489-495.
    6. Lidia Andrés Delgado & Emilio Padilla Rosa, 2017. "Driving factors of GHG emissions in EU transport activity," Working Papers wpdea1702, Department of Applied Economics at Universitat Autonoma of Barcelona.
    7. Jiefang Dong & Chun Deng & Rongrong Li & Jieyu Huang, 2016. "Moving Low-Carbon Transportation in Xinjiang: Evidence from STIRPAT and Rigid Regression Models," Sustainability, MDPI, Open Access Journal, vol. 9(1), pages 1-15, December.
    8. Xu, Bin & Lin, Boqiang, 2015. "Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach," Energy, Elsevier, vol. 83(C), pages 486-495.
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    10. repec:eee:trapol:v:61:y:2018:i:c:p:60-74 is not listed on IDEAS
    11. Guo, Bin & Geng, Yong & Franke, Bernd & Hao, Han & Liu, Yaxuan & Chiu, Anthony, 2014. "Uncovering China’s transport CO2 emission patterns at the regional level," Energy Policy, Elsevier, vol. 74(C), pages 134-146.

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    Keywords

    Transport sector; Passenger transport; CO2 emissions;

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