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The Coal, Petroleum, and Gas Embedded in the Sectoral Demand-and-Supply Chain: Evidence from China

Author

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  • Muhammad Jawad Sajid

    (School of Engineering Management, Xuzhou University of Technology, Xuzhou 221006, China)

  • Zhang Yu

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Department of Business Administration, ILMA University, Karachi 75190, Pakistan)

  • Syed Abdul Rehman

    (Department of Business Administration, ILMA University, Karachi 75190, Pakistan)

Abstract

The United Nations’ Sustainable Development Goal (SDG) number seven expressly calls for universal access to affordable and sustainable energy. Energy sustainability will require a reduction in energy consumption, including embedded energy consumption in sectoral demand and supply chains. However, few studies have estimated the amount of coal, petroleum, and gas (fossil fuel) embedded in demand-and-supply chains (FFEDS). Furthermore, the inter-and intra-sectoral energy linkages are understudied. This study quantifies China’s FFEDS, the world’s largest energy consumer. According to the findings, the highest levels of coal, natural gas, and petroleum consumption (CNGPC) are embedded in the construction sector’s input demand. “Electricity and steam production and supply” total intermediate exports (internal plus inter-sectoral) stimulated the highest coal consumption. “Crude petroleum products and natural gas products” and “railway freight transport” aggregate supplies induced the highest volume of natural gas and petroleum consumption. Compared to intra-sectoral demand, inter-sectoral demand stimulated significantly larger CNGPCs. In contrast, CNGPC’s inter- and inter-sectoral supplies were nearly identical. Modifying current carbon taxation and credit mechanisms to include energy embedded in demand and supply can help to achieve SDG 7.

Suggested Citation

  • Muhammad Jawad Sajid & Zhang Yu & Syed Abdul Rehman, 2022. "The Coal, Petroleum, and Gas Embedded in the Sectoral Demand-and-Supply Chain: Evidence from China," Sustainability, MDPI, vol. 14(3), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1888-:d:743693
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    as
    1. Topcu, Ebru & Altinoz, Buket & Aslan, Alper, 2020. "Global evidence from the link between economic growth, natural resources, energy consumption, and gross capital formation," Resources Policy, Elsevier, vol. 66(C).
    2. Sajid, M. Jawad & Cao, Qingren & Kang, Wei, 2019. "Transport sector carbon linkages of EU's top seven emitters," Transport Policy, Elsevier, vol. 80(C), pages 24-38.
    3. Kentaka Aruga & Md. Monirul Islam & Arifa Jannat, 2020. "Effects of COVID-19 on Indian Energy Consumption," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
    4. Muhammad Kamran Khan & Muhammad Imran Khan & Muhammad Rehan, 2020. "The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-13, December.
    5. Sun, Chuanwang & Ding, Dan & Yang, Mian, 2017. "Estimating the complete CO2 emissions and the carbon intensity in India: From the carbon transfer perspective," Energy Policy, Elsevier, vol. 109(C), pages 418-427.
    6. Fang, Delin & Chen, Bin, 2018. "Linkage analysis for water-carbon nexus in China," Applied Energy, Elsevier, vol. 225(C), pages 682-695.
    7. Peng, Lu & Wang, Lin & Xia, De & Gao, Qinglu, 2022. "Effective energy consumption forecasting using empirical wavelet transform and long short-term memory," Energy, Elsevier, vol. 238(PB).
    8. Jamiu Adetola Odugbesan & Husam Rjoub, 2020. "Relationship Among Economic Growth, Energy Consumption, CO2 Emission, and Urbanization: Evidence From MINT Countries," SAGE Open, , vol. 10(2), pages 21582440209, April.
    9. Lenzen, Manfred, 2003. "Environmentally important paths, linkages and key sectors in the Australian economy," Structural Change and Economic Dynamics, Elsevier, vol. 14(1), pages 1-34, March.
    10. Manfred Lenzen & Daniel Moran & Keiichiro Kanemoto & Arne Geschke, 2013. "Building Eora: A Global Multi-Region Input-Output Database At High Country And Sector Resolution," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 20-49, March.
    11. Shi, Xunpeng & Yu, Jian & Cheong, Tsun Se, 2020. "Convergence and distribution dynamics of energy consumption among China's households," Energy Policy, Elsevier, vol. 142(C).
    12. Guerra, Ana-Isabel & Sancho, Ferran, 2010. "Measuring energy linkages with the hypothetical extraction method: An application to Spain," Energy Economics, Elsevier, vol. 32(4), pages 831-837, July.
    13. Alvarado, Rafael & Deng, Qiushi & Tillaguango, Brayan & Méndez, Priscila & Bravo, Diana & Chamba, José & Alvarado-Lopez, María & Ahmad, Munir, 2021. "Do economic development and human capital decrease non-renewable energy consumption? Evidence for OECD countries," Energy, Elsevier, vol. 215(PB).
    14. Johannes Sedlmeir & Hans Ulrich Buhl & Gilbert Fridgen & Robert Keller, 2020. "The Energy Consumption of Blockchain Technology: Beyond Myth," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 599-608, December.
    15. Liu, Gang & Wang, Kun & Hao, Xiaochen & Zhang, Zhipeng & Zhao, Yantao & Xu, Qingquan, 2022. "SA-LSTMs: A new advance prediction method of energy consumption in cement raw materials grinding system," Energy, Elsevier, vol. 241(C).
    16. Wu, Haitao & Xu, Lina & Ren, Siyu & Hao, Yu & Yan, Guoyao, 2020. "How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model," Resources Policy, Elsevier, vol. 67(C).
    17. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    Full references (including those not matched with items on IDEAS)

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