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Decomposition analysis of factors driving CO2 emissions in Chinese provinces based on production-theoretical decomposition analysis

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  • Liyun Chen

    (Tianjin Agricultural University)

  • Qi Duan

    (Tianjin Hi-tech Science & Technology Investment Management Company Ltd
    Tianjin University)

Abstract

Using a production-theoretical decomposition analysis, this study evaluated the driving factors impacting CO2 emissions between 2001 and 2010 in 28 provinces in China. Factors were decomposed into six indicators: scale effect, technical efficiency, technological progress, change in carbon emission intensity, change in inputs, and change in output structure. The results showed that changes in scale effect and change in inputs were the main factors driving CO2 emissions growth. Conversely, technical efficiency, technological progress, and change in output structure inhibited CO2 emission growth. Change in carbon emission intensity had little effect on CO2 emission growth.

Suggested Citation

  • Liyun Chen & Qi Duan, 2016. "Decomposition analysis of factors driving CO2 emissions in Chinese provinces based on production-theoretical decomposition analysis," 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. 84(1), pages 267-277, November.
    • Handle: RePEc:spr:nathaz:v:84:y:2016:i:1:d:10.1007_s11069-016-2313-1
    DOI: 10.1007/s11069-016-2313-1
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    References listed on IDEAS

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    1. Jeong, Kyonghwa & Kim, Suyi, 2013. "LMDI decomposition analysis of greenhouse gas emissions in the Korean manufacturing sector," Energy Policy, Elsevier, vol. 62(C), pages 1245-1253.
    2. Wang, Chunhua, 2007. "Decomposing energy productivity change: A distance function approach," Energy, Elsevier, vol. 32(8), pages 1326-1333.
    3. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
    4. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    5. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    6. Li, Man, 2010. "Decomposing the change of CO2 emissions in China: A distance function approach," Ecological Economics, Elsevier, vol. 70(1), pages 77-85, November.
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