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Identification of Key Carbon Emission Sectors and Analysis of Emission Effects in China

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  • Yongke Yuan

    (School of Economics and Management, Beijing University of Technology, No.100 Pingleyuan, Chaoyang District, Beijing 100124, China)

  • Yixing Wang

    (School of Economics and Management, Beijing University of Technology, No.100 Pingleyuan, Chaoyang District, Beijing 100124, China)

  • Yuanying Chi

    (School of Economics and Management, Beijing University of Technology, No.100 Pingleyuan, Chaoyang District, Beijing 100124, China)

  • Feng Jin

    (School of Economics and Management, Beijing University of Technology, No.100 Pingleyuan, Chaoyang District, Beijing 100124, China)

Abstract

Analysis of sectors’ emission effects is crucial for identifying key emission sectors and reducing carbon. Current literature for calculating sectors’ emission effects in China ignore intermediate demand. This might introduce inaccuracy into the analyzed results. To solve this gap, this paper used an alternative input–output method to analyze sectors’ emission effects in China. Firstly, it identifies the key emission sectors and their emission effect characteristics from 2005 to 2017. Then, the reasons for the changes in these sectors’ emission effects are analyzed. Lastly, emission effects were further decomposed so that the driving relationships of emissions among these sectors can be sorted out. The results show that the overall key emission sectors were metal smelting and processing and nonmetal mineral products. The backward-emission-dominant sectors were construction, chemical products, other services (such as finance, health and education), metal products, and so on. The forward-emission-dominant sectors were production and supply of electricity and heat, transportation, storage, postal, and telecommunications services. In 2017, transportation, storage, postal, and telecommunications services’ own final demand emissions and forward emissions accounted for 41.7% and 58.3%, respectively, of this sector’s direct emissions. Moreover, from 2005 to 2017, the main sector emission paths affecting the growth of China’s emissions shifted from manufacturing and construction industries to service industries. Accordingly, strategies for emission reduction, such as substituting pollution inputs, were proposed and analyzed. The research provides an important reference for the Chinese government to adopt appropriate measures to reduce carbon.

Suggested Citation

  • Yongke Yuan & Yixing Wang & Yuanying Chi & Feng Jin, 2020. "Identification of Key Carbon Emission Sectors and Analysis of Emission Effects in China," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8673-:d:431347
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    1. Sonis, Michael & Guilhoto, Joaquim José Martins & Hewings, Geoffrey J.D. & Martins, Eduardo B., 1995. "Linkages, key sectors and structural change: some new perspectives," MPRA Paper 54754, University Library of Munich, Germany.
    2. Oestreich, A. Marcel & Tsiakas, Ilias, 2015. "Carbon emissions and stock returns: Evidence from the EU Emissions Trading Scheme," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 294-308.
    3. Liu, Yu & Tan, Xiu-Jie & Yu, Yang & Qi, Shao-Zhou, 2017. "Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model," Applied Energy, Elsevier, vol. 189(C), pages 762-769.
    4. Xie, Xuan & Shao, Shuai & Lin, Boqiang, 2016. "Exploring the driving forces and mitigation pathways of CO2 emissions in China’s petroleum refining and coking industry: 1995–2031," Applied Energy, Elsevier, vol. 184(C), pages 1004-1015.
    5. Mat�as Piaggio & Vicent Alc�ntara & Emilio Padilla, 2014. "Greenhouse Gas Emissions And Economic Structure In Uruguay," Economic Systems Research, Taylor & Francis Journals, vol. 26(2), pages 155-176, June.
    6. Alcántara, Vicent & del Río, Pablo & Hernández, Félix, 2010. "Structural analysis of electricity consumption by productive sectors. The Spanish case," Energy, Elsevier, vol. 35(5), pages 2088-2098.
    7. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    8. Othman, Jamal & Jafari, Yaghoob, 2013. "Identification of the key sectors producing CO2 emissions in Malaysia: application of Input–Output analysis," MPRA Paper 65192, University Library of Munich, Germany, revised 19 Aug 2014.
    9. Liyin Shen & Yingli Lou & Yali Huang & Jindao Chen, 2018. "A driving–driven perspective on the key carbon emission sectors in China," 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. 93(1), pages 349-371, August.
    10. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    11. Mu, Yaqian & Wang, Can & Cai, Wenjia, 2018. "The economic impact of China's INDC: Distinguishing the roles of the renewable energy quota and the carbon market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2955-2966.
    12. Qian Zhang & Jun Nakatani & Yuichi Moriguchi, 2015. "Compilation of an Embodied CO 2 Emission Inventory for China Using 135-Sector Input-Output Tables," Sustainability, MDPI, vol. 7(7), pages 1-17, June.
    13. Heimler, Alberto, 1991. "Linkages and Vertical Integration in the Chinese Economy," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 261-267, May.
    14. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    15. Yang, Qing & Zhang, Lei & Zou, Shaohui & Zhang, Jinsuo, 2020. "Intertemporal optimization of the coal production capacity in China in terms of uncertain demand, economy, environment, and energy security," Energy Policy, Elsevier, vol. 139(C).
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    3. Xiaodong Li & Ai Ren & Qi Li, 2022. "Exploring Patterns of Transportation-Related CO 2 Emissions Using Machine Learning Methods," Sustainability, MDPI, vol. 14(8), pages 1-21, April.

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