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Spatial Configuration of Energy Consumption and Carbon Emissions of Shanghai, and Our Policy Suggestions

Author

Listed:
  • Kexi Pan

    (Fudan University Energy Research Center, School of Social Development and Public Policy, Fudan University, Shanghai 200433, China
    These authors contributed equally to this work.)

  • Yongfu Li

    (Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200444, China
    These authors contributed equally to this work.)

  • Hanxiong Zhu

    (Fudan University Energy Research Center, School of Social Development and Public Policy, Fudan University, Shanghai 200433, China
    These authors contributed equally to this work.)

  • Anrong Dang

    (School of Architecture, Tsinghua University, Beijing 100084, China)

Abstract

This research constructs a 1 km × 1 km Shanghai energy consumption and carbon emission spatial grid through a bottom-up approach. First, we locate all energy consumption locations in Shanghai via GIS. Second, we calculate energy consumption and associated CO 2 emissions by energy type, by usage type, and by facilities. Finally, we use a spatial grid to represent the energy consumption and CO 2 emissions. The grid shows CO 2 emissions in Shanghai are highly spatially correlated with energy types and volumes of consumption. This research also finds out that high energy consumption and carbon emission locations in Shanghai display significant spatial aggregation. In 7209 spatial energy consumption cells, the top 10 grids of emissions account for 52.8% of total CO 2 emissions in Shanghai; the top 20 grids account for 64.5% and the top 50 grids account for 76.5%. The most critical point emission sources are coal-fired power plants and iron and steel plants. The most important line emission sources are the Yan’an Road and Inner Ring viaducts. The area emission sources that account for the most future-projected growth are commercial and residential natural gas. After this spatial analysis, this paper makes policy suggestions and solutions to conserve energy consumption and mitigate carbon emissions in Shanghai.

Suggested Citation

  • Kexi Pan & Yongfu Li & Hanxiong Zhu & Anrong Dang, 2017. "Spatial Configuration of Energy Consumption and Carbon Emissions of Shanghai, and Our Policy Suggestions," Sustainability, MDPI, vol. 9(1), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:1:p:104-:d:87609
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    References listed on IDEAS

    as
    1. Unknown, 2016. "Department Publications 2014," Publications Lists 239845, University of Minnesota, Department of Applied Economics.
    2. Ke-Xi Pan & Han-Xiong Zhu & Zheng Chang & Kuan-Hong Wu & Yu-Li Shan & Zhi-Xing Liu, 2013. "Estimation of Coal-Related Co2 Emissions: The Case of China," Energy & Environment, , vol. 24(7-8), pages 1309-1321, December.
    3. 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.
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    Cited by:

    1. Sheng-Wen Tseng, 2019. "Analysis of Energy-Related Carbon Emissions in Inner Mongolia, China," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    2. Li, Wei & Sun, Wen & Li, Guomin & Cui, Pengfei & Wu, Wen & Jin, Baihui, 2017. "Temporal and spatial heterogeneity of carbon intensity in China's construction industry," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 162-173.
    3. Hanxiong Zhu & Kexi Pan & Yong Liu & Zheng Chang & Ping Jiang & Yongfu Li, 2019. "Analyzing Temporal and Spatial Characteristics and Determinant Factors of Energy-Related CO 2 Emissions of Shanghai in China Using High-Resolution Gridded Data," Sustainability, MDPI, vol. 11(17), pages 1-21, August.
    4. Yanzhuo Liu & Shanshan Song & Chunjuan Bi & Junli Zhao & Di Xi & Ziqi Su, 2019. "Occurrence, Distribution and Risk Assessment of Mercury in Multimedia of Soil-Dust-Plants in Shanghai, China," IJERPH, MDPI, vol. 16(17), pages 1-19, August.

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