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Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors

Author

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  • Jianchang Lu

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, Hebei, China)

  • Weiguo Fan

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, Hebei, China)

  • Ming Meng

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, Hebei, China)

Abstract

Based on the international community’s analysis of the present CO 2 emissions situation, a Log Mean Divisia Index (LMDI) decomposition model is proposed in this paper, aiming to reflect the decomposition of carbon productivity. The model is designed by analyzing the factors that affect carbon productivity. China’s contribution to carbon productivity is analyzed from the dimensions of influencing factors, regional structure and industrial structure. It comes to the conclusions that: (a) economic output, the provincial carbon productivity and energy structure are the most influential factors, which are consistent with China’s current actual policy; (b) the distribution patterns of economic output, carbon productivity and energy structure in different regions have nothing to do with the Chinese traditional sense of the regional economic development patterns; (c) considering the regional protectionism, regional actual situation need to be considered at the same time; (d) in the study of the industrial structure, the contribution value of industry is the most prominent factor for China’s carbon productivity, while the industrial restructuring has not been done well enough.

Suggested Citation

  • Jianchang Lu & Weiguo Fan & Ming Meng, 2015. "Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors," Energies, MDPI, vol. 8(4), pages 1-25, April.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:4:p:3093-3117:d:48401
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    References listed on IDEAS

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    3. Yu, Miao & Meng, Bo & Li, Rong, 2022. "Analysis of China's urban household indirect carbon emissions drivers under the background of population aging," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 114-125.
    4. Wei Sun & Hua Cai & Yuwei Wang, 2018. "Refined Laspeyres Decomposition-Based Analysis of Relationship between Economy and Electric Carbon Productivity from the Provincial Perspective—Development Mode and Policy," Energies, MDPI, vol. 11(12), pages 1-20, December.
    5. Mingxiang Deng & Wei Li & Yan Hu, 2016. "Decomposing Industrial Energy-Related CO 2 Emissions in Yunnan Province, China: Switching to Low-Carbon Economic Growth," Energies, MDPI, vol. 9(1), pages 1-19, January.
    6. Min Lu & Xing Wang & Yuquan Cang, 2018. "Carbon Productivity: Findings from Industry Case Studies in Beijing," Energies, MDPI, vol. 11(10), pages 1-19, October.
    7. Elena Cigu & Mihai-Bogdan Petrișor & Alina-Cristina Nuță & Florian-Marcel Nuță & Ionel Bostan, 2020. "The Nexus between Financial Regulation and Green Sustainable Economy," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    8. Miaomiao Niu & Xianchun Tan & Jianxin Guo & Guohao Li & Chen Huang, 2021. "Driving Factors and Growth Potential of Provincial Carbon Productivity in China," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    9. Weiguo Fan & Zhicheng Gao & Nan Chen & Hejie Wei & Zihan Xu & Nachuan Lu & Xuechao Wang & Peng Zhang & Jiahui Ren & Sergio Ulgiati & Xiaobin Dong, 2018. "It is Worth Pondering Whether a Carbon Tax is Suitable for China’s Agricultural-Related Sectors," Energies, MDPI, vol. 11(9), pages 1-26, August.

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