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Using LMDI method to analyze the influencing factors of carbon emissions in China’s petrochemical industries

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  • Tijun Fan
  • Ruiling Luo
  • Haiyang Xia
  • Xiaopeng Li

Abstract

China’s petrochemical industries are playing an important role in China’s economic development. However, the industries consume large amounts of energy and have become primary sources of carbon emission. In this paper, the change in carbon emissions from China’s petrochemical industries between 2000 and 2010 was quantitatively analyzed with the Log-Mean Divisia Index method, which was decomposed into economic output effect, industrial structural effect and technical effect. The results show that economic output effect is the most important factor driving carbon emission growth in China’s petrochemical industries; industrial structural effect has certain decrement effect on carbon emissions; adjustment of industrial structure by developing low-carbon emission industrial sectors may be a better choice for reducing carbon emissions; and the impact of technical effect varies considerably without showing any clear decrement effect trend over the period of year 2000–2010. The biggest challenge is how to make use of these factors to balance the relationship between economic development and carbon emissions. This study will promote a more comprehensive understanding of the inter-relationships of economic development, industrial structural shift, technical effect and carbon emissions in China’s petrochemical industries and is helpful for exploration of relevant strategies to reduce carbon emissions. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Tijun Fan & Ruiling Luo & Haiyang Xia & Xiaopeng Li, 2015. "Using LMDI method to analyze the influencing factors of carbon emissions in China’s petrochemical industries," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 319-332, February.
    • Handle: RePEc:spr:nathaz:v:75:y:2015:i:2:p:319-332
    DOI: 10.1007/s11069-014-1226-0
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    4. Talaei, Alireza & Ahiduzzaman, Md. & Kumar, Amit, 2018. "Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation potentials in the chemical sector," Energy, Elsevier, vol. 153(C), pages 231-247.
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    7. Wen, Hong-xing & Chen, Zhe & Yang, Qian & Liu, Jin-yi & Nie, Pu-yan, 2022. "Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors," Energy, Elsevier, vol. 245(C).
    8. Han, Yongming & Wu, Hao & Geng, Zhiqiang & Zhu, Qunxiong & Gu, Xiangbai & Yu, Bin, 2020. "Review: Energy efficiency evaluation of complex petrochemical industries," Energy, Elsevier, vol. 203(C).
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    12. Yang Yu & Qiuyue Kong, 2017. "Analysis on the influencing factors of carbon emissions from energy consumption in China based on LMDI method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1691-1707, September.
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