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Critical transmission sectors in China's energy supply chains

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  • Feng, Cuiyang
  • Dong, Liyan
  • Adbiat, Muhsen
  • Xu, Lixiao
  • Yu, Ao

Abstract

The transition of energy supply system is essential to achieve carbon neutrality, since carbon emissions largely come from fossil fuel consumption. To propose sector-specific strategies for energy conservation, previous studies mainly focus on sectors that directly use or indirectly drive large amounts of energy at two ends of supply chains. Transmission centers located in intermediate supply chains transmit large amounts of energy use and are usually ignored by production-based or consumption-based methods. However, efficiency improvement in transmission centers may contribute to energy conservation. In this study, we use betweenness-based method to identify critical transmission sectors for different energy types at the inter-provincial level of China in 2012, 2015, and 2017. Results show that Shandong and Jiangsu are critical energy transmission provinces, Smelting and processing of metals and Manufacture of chemical products are critical energy transmission sectors, and raw coal has the largest transmission in energy supply chains. Some critical transmission sectors get less attention from the production-based or consumption-based perspectives, such as Production and distribution of electric power and heat power in Beijing. In addition, renewable energy development is changing energy transmission patterns. To promote a low-carbon economy, betweenness-based results should be considered as complementary strategies for energy sustainable development.

Suggested Citation

  • Feng, Cuiyang & Dong, Liyan & Adbiat, Muhsen & Xu, Lixiao & Yu, Ao, 2023. "Critical transmission sectors in China's energy supply chains," Energy, Elsevier, vol. 266(C).
    • Handle: RePEc:eee:energy:v:266:y:2023:i:c:s0360544222033783
    DOI: 10.1016/j.energy.2022.126492
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    as
    1. Jinyue Yan & Ying Yang & Pietro Elia Campana & Jijiang He, 2019. "City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China," Nature Energy, Nature, vol. 4(8), pages 709-717, August.
    2. Feng, Cuiyang & Qu, Shen & Jin, Yi & Tang, Xu & Liang, Sai & Chiu, Anthony S.F. & Xu, Ming, 2019. "Uncovering urban food-energy-water nexus based on physical input-output analysis: The case of the Detroit Metropolitan Area," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    4. He, Yong & Liao, Nuo & Lin, Kunrong, 2021. "Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach," Energy Policy, Elsevier, vol. 149(C).
    5. Song, Siming & Li, Tianxiao & Liu, Pei & Li, Zheng, 2022. "The transition pathway of energy supply systems towards carbon neutrality based on a multi-regional energy infrastructure planning approach: A case study of China," Energy, Elsevier, vol. 238(PC).
    6. Wen, Wen & Feng, Cuiyang & Zhou, Hao & Zhang, Li & Wu, Xiaohui & Qi, Jianchuan & Yang, Xuechun & Liang, Yuhan, 2021. "Critical provincial transmission sectors for carbon dioxide emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Li, Yiming & Wang, Zhaohua & He, Weijun & Zhao, Yuandong & Xu, Ming & Zhang, Bin, 2021. "Critical transmission sectors for CO2 emission mitigation in supply chains," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    8. Huang, Junbing & Wang, Yajun & Guo, Lili, 2022. "Energy intensity and energy-specific technological progress: A case study in Guangdong province of China," Renewable Energy, Elsevier, vol. 184(C), pages 990-1001.
    9. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
    10. Boqiang Lin & Zhijie Jia, 2020. "Supply control vs. demand control: why is resource tax more effective than carbon tax in reducing emissions?," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    11. Yu, Yang & Li, Shuangqi & Sun, Huaping & Taghizadeh-Hesary, Farhad, 2021. "Energy carbon emission reduction of China’s transportation sector: An input–output approach," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 378-393.
    12. Feng, Cuiyang & Tang, Xu & Jin, Yi & Guo, Yuhua & Zhang, Xiaochuan, 2019. "Regional energy-water nexus based on structural path betweenness: A case study of Shanxi Province, China," Energy Policy, Elsevier, vol. 127(C), pages 102-112.
    13. Qiu, Shuo & Lei, Tian & Wu, Jiangtao & Bi, Shengshan, 2021. "Energy demand and supply planning of China through 2060," Energy, Elsevier, vol. 234(C).
    14. Felix Creutzig & Leila Niamir & Xuemei Bai & Max Callaghan & Jonathan Cullen & Julio Díaz-José & Maria Figueroa & Arnulf Grubler & William F. Lamb & Adrian Leip & Eric Masanet & Érika Mata & Linus Mat, 2022. "Demand-side solutions to climate change mitigation consistent with high levels of well-being," Nature Climate Change, Nature, vol. 12(1), pages 36-46, January.
    15. Chen Lin & Jianchuan Qi & Sai Liang & Cuiyang Feng & Thomas O. Wiedmann & Yihan Liao & Xuechun Yang & Yumeng Li & Zhifu Mi & Zhifeng Yang, 2020. "Saving less in China facilitates global CO2 mitigation," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    16. Xu, Qingyang & Sun, Feihu & Cai, Qiran & Liu, Li-Jing & Zhang, Kun & Liang, Qiao-Mei, 2022. "Assessment of the influence of demand-side responses on high-proportion renewable energy system: An evidence of Qinghai, China," Renewable Energy, Elsevier, vol. 190(C), pages 945-958.
    17. Wei, Wendong & Cai, Wenqiu & Guo, Yi & Bai, Caiquan & Yang, Luzhen, 2020. "Decoupling relationship between energy consumption and economic growth in China's provinces from the perspective of resource security," Resources Policy, Elsevier, vol. 68(C).
    18. Jin, Yi & Tang, Xu & Feng, Cuiyang & Höök, Mikael, 2017. "Energy and water conservation synergy in China: 2007–2012," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 206-215.
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