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A Calculation and Decomposition Method Embedding Sectoral Energy Structure for Embodied Carbon: A Case Study of China’s 28 Sectors

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  • Yunlong Zhao

    (Tsinghua-BP Clean Energy Research and Education Centre, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, Laboratory for Low Carbon Energy, Tsinghua University, Beijing 100084, China)

  • Linwei Ma

    (Tsinghua-BP Clean Energy Research and Education Centre, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, Laboratory for Low Carbon Energy, Tsinghua University, Beijing 100084, China)

  • Zheng Li

    (Tsinghua-BP Clean Energy Research and Education Centre, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, Laboratory for Low Carbon Energy, Tsinghua University, Beijing 100084, China)

  • Weidou Ni

    (Tsinghua-BP Clean Energy Research and Education Centre, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, Laboratory for Low Carbon Energy, Tsinghua University, Beijing 100084, China)

Abstract

The measurement and allocation of carbon emission responsibilities is a fundamental issue in China’s low-carbon development. However, existing studies of embodied carbon do not sufficiently consider the sectoral energy structure. In this work, we developed a high-resolution calculation method for embodied carbon that embeds the sectoral energy structure into traditional input–output methods, thus expanding the driving factors of SDA decomposition. Based on this method, we calculated the quantity, final consumption structure, and energy structure of embodied carbon in China’s 28 sectors from 2002 to 2018, drew a carbon emissions allocation Sankey diagram of China in 2018, and calculated the SDA decomposition results for 2002–2010 and 2010–2018. The results indicate that fixed capital formation was still the top contributor of embodied carbon, and it caused more coal consumption. “Construction for fixed capital formation” and “other services for domestic consumption” were the two most important drivers of carbon emissions. The final consumption quantity and energy intensity were the main factors that promoted and inhibited the growth of embodied carbon, respectively, while the effects of the input–output structure, sectoral energy structure, and carbon emission coefficient on reducing carbon emissions were obvious after 2010. This also revealed that policymakers should formulate differentiated emission reduction strategies according to the carbon emission characteristics of key sectors.

Suggested Citation

  • Yunlong Zhao & Linwei Ma & Zheng Li & Weidou Ni, 2022. "A Calculation and Decomposition Method Embedding Sectoral Energy Structure for Embodied Carbon: A Case Study of China’s 28 Sectors," Sustainability, MDPI, vol. 14(5), pages 1-29, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2593-:d:756821
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    References listed on IDEAS

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    1. Yan Ma & Zhe Song & Shuangqi Li & Tangyang Jiang, 2020. "Dynamic evolution analysis of the factors driving the growth of energy-related CO2 emissions in China: An input-output analysis," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-19, December.
    2. Xi Zhang & Zheng Li & Linwei Ma & Chinhao Chong & Weidou Ni, 2019. "Analyzing Carbon Emissions Embodied in Construction Services: A Dynamic Hybrid Input–Output Model with Structural Decomposition Analysis," Energies, MDPI, vol. 12(8), pages 1-23, April.
    3. Zou, Gao Lu, 2012. "The long-term relationships among China's energy consumption sources and adjustments to its renewable energy policy," Energy Policy, Elsevier, vol. 47(C), pages 456-467.
    4. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
    5. Feng, Tian-tian & Yang, Yi-sheng & Xie, Shi-yan & Dong, Jun & Ding, Luo, 2017. "Economic drivers of greenhouse gas emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 996-1006.
    6. Román-Collado, Rocío & Ordoñez, Manuel & Mundaca, Luis, 2018. "Has electricity turned green or black in Chile? A structural decomposition analysis of energy consumption," Energy, Elsevier, vol. 162(C), pages 282-298.
    7. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    8. Llop, Maria, 2017. "Changes in energy output in a regional economy: A structural decomposition analysis," Energy, Elsevier, vol. 128(C), pages 145-151.
    9. Wu, Feng & Huang, Ningyu & Zhang, Qian & Qiao, Zhi & Zhan, Ni-ni, 2020. "Multi-province comparison and typology of China’s CO2 emission: A spatial–temporal decomposition approach," Energy, Elsevier, vol. 190(C).
    10. Honghua Yang & Linwei Ma & Zheng Li, 2020. "A Method for Analyzing Energy-Related Carbon Emissions and the Structural Changes: A Case Study of China from 2005 to 2015," Energies, MDPI, vol. 13(8), pages 1-24, April.
    11. Yunlong Zhao & Geng Kong & Chin Hao Chong & Linwei Ma & Zheng Li & Weidou Ni, 2021. "How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    12. Ninpanit, Panittra & Malik, Arunima & Wakiyama, Takako & Geschke, Arne & Lenzen, Manfred, 2019. "Thailand’s energy-related carbon dioxide emissions from production-based and consumption-based perspectives," Energy Policy, Elsevier, vol. 133(C).
    13. Liu, Hong & Wang, Chang & Tian, Meiyu & Wen, Fenghua, 2019. "Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015," Energy, Elsevier, vol. 171(C), pages 1139-1149.
    14. Xu Li & Chinhao Chong & Linwei Ma & Pei Liu & Xuesi Shen & Zibo Jia & Cheng Wang & Zheng Li & Weidou Ni, 2018. "Coordinating the Dynamic Development of Energy and Industry in Composite Regions: An I-SDOP Analysis of the BTH Region," Sustainability, MDPI, vol. 10(6), pages 1-28, June.
    15. Yousaf Ali & Rosita Pretaroli & Muhammad Sabir & Claudio Socci & Francesca Severini, 2020. "Structural changes in carbon dioxide (CO2) emissions in the United Kingdom (UK): an emission multiplier product matrix (EMPM) approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(8), pages 1545-1564, December.
    16. Zhang, Youguo, 2013. "The responsibility for carbon emissions and carbon efficiency at the sectoral level: Evidence from China," Energy Economics, Elsevier, vol. 40(C), pages 967-975.
    17. Chong, ChinHao & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou & Li, Xu & Song, Shizhong, 2017. "LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram," Energy, Elsevier, vol. 133(C), pages 525-544.
    18. Deng, Guangyao & Xu, Yan, 2017. "Accounting and structure decomposition analysis of embodied carbon trade: A global perspective," Energy, Elsevier, vol. 137(C), pages 140-151.
    19. Zhang, Haiyan & Lahr, Michael L., 2014. "China's energy consumption change from 1987 to 2007: A multi-regional structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 682-693.
    20. Munksgaard, Jesper & Pedersen, Klaus Alsted, 2001. "CO2 accounts for open economies: producer or consumer responsibility?," Energy Policy, Elsevier, vol. 29(4), pages 327-334, March.
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    Cited by:

    1. Yingying Hu & Wei Wu, 2022. "Spatiotemporal Variation and Driving Factors of Embodied Carbon in China-G7 Trade," Sustainability, MDPI, vol. 14(12), pages 1-20, June.

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