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The responsibility for carbon emissions and carbon efficiency at the sectoral level: Evidence from China

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  • Zhang, Youguo

Abstract

This work reviews benefit-based principles to measuring responsibility for carbon emissions at the sectoral level using environmental input–output analysis. Several new emissions multipliers are proposed to measure sectoral carbon efficiency. These principles are used in an empirical analysis of carbon emissions in China, and differences between the principles are compared. The results indicate that all principles considered can prevent double-counting of emissions but that different principles may lead to significantly different attributions of responsibility for carbon emissions and to different multiplier values for particular sectors. Electricity and heat supply is found to be the sector with the highest emissions responsibility under all but the consumer responsibility principle, as well as the highest carbon multiplier under all principles. However, this sector's responsibility under producer responsibility principles is greater than that under other principles. Basic metals and transportation and post and telecommunication are among the top five sectors with the greatest responsibilities under all but the consumer responsibility principle, whereas construction has the highest consumer responsibility among all sectors. The pros and cons and policy implications of each principle are also discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:eneeco:v:40:y:2013:i:c:p:967-975
    DOI: 10.1016/j.eneco.2013.05.025
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    5. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    6. Zhiyong Yang & Wenjie Dong & Jinfeng Xiu & Rufeng Dai & Jieming Chou, 2015. "Structural Path Analysis of Fossil Fuel Based CO2 Emissions: A Case Study for China," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-25, September.
    7. Xu, Xianshuo & Zhao, Tao & Liu, Nan & Kang, Jidong, 2014. "Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective," Applied Energy, Elsevier, vol. 132(C), pages 298-307.
    8. Xia, Yan & Tang, Zhipeng, 2017. "The impacts of emissions accounting methods on an imperfect competitive carbon trading market," Energy, Elsevier, vol. 119(C), pages 67-76.
    9. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    10. Banerjee, Suvajit, 2020. "Border vis-à-vis Domestic Carbon Adjustment: Implications of Alternative System Boundary for India to Reduce Carbon Emissions," Conference papers 333129, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Peng, Shuijun & Zhang, Wencheng & Sun, Chuanwang, 2016. "‘Environmental load displacement’ from the North to the South: A consumption-based perspective with a focus on China," Ecological Economics, Elsevier, vol. 128(C), pages 147-158.
    12. 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.
    13. Zhang, Youguo, 2015. "Provincial responsibility for carbon emissions in China under different principles," Energy Policy, Elsevier, vol. 86(C), pages 142-153.
    14. Wei Zhen & Quande Qin & Lei Jiang, 2022. "Heterogeneous Domestic Intermediate Input-Related Carbon Emissions in China’s Exports," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 453-479, March.
    15. Yue-Jun Zhang & Xiao-Juan Bian & Weiping Tan, 2018. "The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the hypothetical extraction method," Empirical Economics, Springer, vol. 54(4), pages 1743-1775, June.
    16. Liu, Hongguang & Liu, Weidong & Fan, Xiaomei & Zou, Wei, 2015. "Carbon emissions embodied in demand–supply chains in China," Energy Economics, Elsevier, vol. 50(C), pages 294-305.
    17. Xuemei Jiang & Quanrun Chen & Cuihong Yang, 2018. "A Comparison Of Producer, Consumer And Shared Responsibility Based On A New Inter-Country Input–Output Table Capturing Trade Heterogeneity," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 295-311, March.

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    More about this item

    Keywords

    Environmental responsibility; Emissions multiplier; Benefit principle; Input–output analysis;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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