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Provincial emission accounting for CO2 mitigation in China: Insights from production, consumption and income perspectives

Author

Listed:
  • Chen, Weiming
  • Lei, Yalin
  • Feng, Kuishuang
  • Wu, Sanmang
  • Li, Li

Abstract

Emission accounting can help to identify main CO2 emitters and inform emission mitigation policymaking. Previous studies have proved that the application of different accounting principles results in different emission levels, thus bring different policy implications, while the emissions enabled by primary inputs (or income-based emission) have been overlooked in studies for carbon mitigation in China. Understanding the role of primary inputs in CO2 emissions is a prerequisite to create efficient supply-side mitigation policies. Here, we conduct a quantitative study of China’s provincial production-, consumption-, and income-based CO2 emissions in a unified multi-regional input-output analysis framework. The results are compared from the three perspectives for 30 provinces in China to help the government identify the main policy targets from production, demand, and supply sides. We found that 64% and 35% of China’s emissions are transferred among provinces driven by final demands and primary inputs, respectively. Mitigation policies in heavily industrialized provinces, such as Hebei, Liaoning, and Henan, where the production-based emissions are higher than the consumption- and income-based emissions, should be focused on production side. Similarly, policies in eastern coastal developed provinces and resource-abundant provinces should be focused on demand- and supply-side, respectively. Moreover, we found that tertiary industries, which previous studies generally regard as low-carbon industries, are the major contributors to China’s income-based CO2 emissions with a total of 2026 Mt or 31% of China’s total income-based CO2 emissions. Thus, expanding tertiary industries without reducing their industrial linkages to carbon-intensive industries is not conducive to China’s emission reduction.

Suggested Citation

  • Chen, Weiming & Lei, Yalin & Feng, Kuishuang & Wu, Sanmang & Li, Li, 2019. "Provincial emission accounting for CO2 mitigation in China: Insights from production, consumption and income perspectives," Applied Energy, Elsevier, vol. 255(C).
  • Handle: RePEc:eee:appene:v:255:y:2019:i:c:s0306261919314412
    DOI: 10.1016/j.apenergy.2019.113754
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    Citations

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    Cited by:

    1. Roosse Lee & You Ra Gwak & Jung Min Sohn & See Hoon Lee, 2021. "The prediction of CO2 emissions in domestic power generation sector between 2020 and 2030 for Korea," Energy & Environment, , vol. 32(5), pages 855-873, August.
    2. Xue, Ruoyu & Wang, Shanshan & Long, Wenqi & Gao, Gengyu & Liu, Donghui & Zhang, Ruiqin, 2021. "Uncovering GHG emission characteristics of industrial parks in Central China via emission inventory and cluster analysis," Energy Policy, Elsevier, vol. 151(C).
    3. Chunli Jin & Qiaoqiao Zhu & Hui Sun, 2023. "Temporal and Spatial Divergence of Embodied Carbon Emissions Transfer and the Drivers—Evidence from China’s Domestic Trade," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    4. Homod, Raad Z. & Gaeid, Khalaf S. & Dawood, Suroor M. & Hatami, Alireza & Sahari, Khairul S., 2020. "Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings," Applied Energy, Elsevier, vol. 271(C).
    5. Wang, Tiantian & Wang, Yanhua & Wang, Ke & Fu, Sha & Ding, Li, 2024. "Five-dimensional assessment of China's centralized and distributed photovoltaic potential: From solar irradiation to CO2 mitigation," Applied Energy, Elsevier, vol. 356(C).
    6. Chen, Weiming & Zhang, Zhenjun & Chen, Kaiyuan, 2023. "Inter-regional economic-environmental correlation effects of power sector in China," Energy, Elsevier, vol. 278(C).
    7. Tianrui Wang & Yu Chen & Leya Zeng, 2022. "Spatial-Temporal Evolution Analysis of Carbon Emissions Embodied in Inter-Provincial Trade in China," IJERPH, MDPI, vol. 19(11), pages 1-26, June.
    8. Murat Peksen, 2021. "Hydrogen Technology towards the Solution of Environment-Friendly New Energy Vehicles," Energies, MDPI, vol. 14(16), pages 1-6, August.
    9. Hongkuan Zang & Lirong Zhang & Ye Xu & Wei Li, 2020. "Dynamic Input–Output Analysis of a Carbon Emission System at the Aggregated and Disaggregated Levels: A Case Study in the Northeast Industrial District," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    10. Guo, Xuepeng & Pang, Jun, 2023. "Analysis of provincial CO2 emission peaking in China: Insights from production and consumption," Applied Energy, Elsevier, vol. 331(C).
    11. Yingying Du & Haibin Liu & Hui Huang, 2024. "Bibliometric Analysis of Research Progress and Trends on Carbon Emission Responsibility Accounting," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
    12. Wu, Sanmang & Li, Shantong & Lei, Yalin & Li, Li, 2020. "Temporal changes in China's production and consumption-based CO2 emissions and the factors contributing to changes," Energy Economics, Elsevier, vol. 89(C).
    13. Cheng, Xuelei & Wu, Xudong & Guan, Chenghe & Sun, Xudong & Zhang, Bo, 2023. "Impacts of production structure changes on global CH4 emissions: Evidences from income-based accounting and decomposition analysis," Ecological Economics, Elsevier, vol. 213(C).
    14. Feng Xiong & Yue Su & Jingyue Wu, 2024. "Research on the Performance Management of Carbon Reduction by Local Governments from a Game Perspective—The Case of the Zhejiang Power Restriction Incident," Sustainability, MDPI, vol. 16(6), pages 1-32, March.
    15. Yue, Wencong & Li, Yangqing & Su, Meirong & Chen, Qionghong & Rong, Qiangqiang, 2023. "Carbon emissions accounting and prediction in urban agglomerations from multiple perspectives of production, consumption and income," Applied Energy, Elsevier, vol. 348(C).

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