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Input–Output Analysis of China’s CO 2 Emissions in 2017 Based on Data of 149 Sectors

Author

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  • Fan He

    (School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
    Shenzhen Engineering Laboratory of Big Data for Low-Carbon Cities, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China)

  • Yang Yang

    (School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
    Shenzhen Engineering Laboratory of Big Data for Low-Carbon Cities, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China)

  • Xin Liu

    (School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China)

  • Dong Wang

    (School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
    Shenzhen Engineering Laboratory of Big Data for Low-Carbon Cities, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China)

  • Junping Ji

    (School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
    Shenzhen Engineering Laboratory of Big Data for Low-Carbon Cities, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China)

  • Zhibin Yi

    (College of Tourism and Service Management, Nankai University, Tianjin 300350, China)

Abstract

High-precision CO 2 emission data by sector are of great significance for formulating CO 2 emission reduction plans. This study decomposes low-precision energy consumption data from China into 149 sectors according to the high-precision input–output (I–O) table for 2017. An economic I–O life cycle assessment model, incorporating sensitivity analysis, is constructed to analyze the distribution characteristics of CO 2 emissions among sectors. Considering production, the electricity/heat production and supply sector contributed the most (51.20%) to the total direct CO 2 emissions. The top 10 sectors with the highest direct CO 2 emissions accounted for >80% of the total CO 2 emissions. From a demand-based perspective, the top 13 sectors with the highest CO 2 emissions emitted 5171.14 Mt CO 2 (59.78% of the total), primarily as indirect emissions; in particular, the housing construction sector contributed 23.97% of the total. Based on these results, promoting decarbonization of the power industry and improving energy and raw material utilization efficiencies of other production sectors are the primary emission reduction measures. Compared with low-precision models, our model can improve the precision and accuracy of analysis results and more effectively guide the formulation of emission reduction policies.

Suggested Citation

  • Fan He & Yang Yang & Xin Liu & Dong Wang & Junping Ji & Zhibin Yi, 2021. "Input–Output Analysis of China’s CO 2 Emissions in 2017 Based on Data of 149 Sectors," Sustainability, MDPI, vol. 13(8), pages 1-27, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4172-:d:532577
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    References listed on IDEAS

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