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China’s Embodied Copper Flow from the Demand-Side and Production-Side Perspectives

Author

Listed:
  • Shaoqiang Ma

    (Institute of Geological Exploration Industry, Chinese Academy of Natural Resources Economics, Beijing 101149, China
    School of Economics and Management, China University of Geosciences (Beijing), Beijing 100083, China)

  • Min Fang

    (Institute of Geological Exploration Industry, Chinese Academy of Natural Resources Economics, Beijing 101149, China)

  • Xin Zhou

    (Institute of Geological Exploration Industry, Chinese Academy of Natural Resources Economics, Beijing 101149, China
    School of Economics and Management, China University of Geosciences (Beijing), Beijing 100083, China)

Abstract

Copper is a critical mineral resource and plays a crucial role in social and economic development. In China, the world’s largest copper consumer, copper footprints and embodied copper transfers among sectors have not been studied sufficiently. Combing an environmentally extended input-output model and complex network method, this paper systematically analyzes China’s copper consumption embodied in the final demand and the production process. The research shows that (1) from the perspective of the final demand, the Construction sector is the largest driver of copper consumption, contributing 3.27 Mt in 2020, followed by the Manufacture of General Purpose Machinery sector (1.31 Mt). (2) Structural path analysis (SPA) shows that mainly the Construction sector drives copper consumption from the Production and Distribution of Electric Power and Heat Power sector, followed by the Manufacture of Non-metallic Mineral Products sector, and so on. Conversely, the Production and Distribution of Electric Power and Heat Power sector is the main initial sector in the supply chain, driven by the Construction sector, the Manufacture of Non-metallic Mineral Products sector, the Smelting and Processing of Metals sector, and so on. (3) From the perspective of production, the Transport, Storage, and Postal Services sector is an important transfer station transforming resources from the upstream sectors to the downstream sectors along with the transfers of embodied copper. The Production and Distribution of Electric Power and Heat Power sector is an important supplier for the downstream sectors. The Construction sector is an important consumer for the upstream sectors. The sectors including the Smelting and Processing of Metals sector, the Manufacture of Chemical Products sector and the Manufacture of Non-metallic Mineral Products sector function well as transformers, suppliers and consumers in the process of embodied copper transfers. (4) From the perspective of production, the embodied copper flow system can be divided into four groups that are closely linked. E & C community is the core member of the whole embodied copper flow network. C and S community is the main consumer of embodied copper resources in the network, exporting a great deal of embodied resources from other communities. Finally, some policy proposals on the rational utilization of copper resources are put forward.

Suggested Citation

  • Shaoqiang Ma & Min Fang & Xin Zhou, 2023. "China’s Embodied Copper Flow from the Demand-Side and Production-Side Perspectives," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2199-:d:1045907
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    References listed on IDEAS

    as
    1. Li, Yang & Brooks, Robert, 2022. "Evidence of arbitrage trading activity: The case of Chinese metal futures contracts," Emerging Markets Review, Elsevier, vol. 51(PB).
    2. Kehan He & Zhifu Mi & Long Chen & D'Maris Coffman & Sai Liang, 2021. "Critical transmission sectors in embodied atmospheric mercury emission network in China," Journal of Industrial Ecology, Yale University, vol. 25(6), pages 1644-1656, December.
    3. Rosa Duarte & Vicente Pinilla & Ana Serrano, 2018. "Factors driving embodied carbon in international trade: a multiregional input–output gravity model," Economic Systems Research, Taylor & Francis Journals, vol. 30(4), pages 545-566, October.
    4. Qiumeng Zhong & Hui Li & Sai Liang & Jetashree & Xiaohui Wu & Jianchuan Qi & Shuxiao Wang, 2022. "Changes of production and consumption structures in coastal regions lead to mercury emission control in China," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1760-1770, October.
    5. He, Xijun & Dong, Yanbo & Wu, Yuying & Wei, Guodan & Xing, Lizhi & Yan, Jia, 2017. "Structure analysis and core community detection of embodied resources networks among regional industries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 137-150.
    6. Wang, Tao & Xiao, Shiying & Yan, Jun & Zhang, Panpan, 2021. "Regional and sectoral structures of the Chinese economy: A network perspective from multi-regional input–output tables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    7. Defourny, Jacques & Thorbecke, Erik, 1984. "Structural Path Analysis and Multiplier Decomposition within a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 94(373), pages 111-136, March.
    8. Sun, Xiaoqi & An, Haizhong & Liu, Xiaojia, 2018. "Network analysis of Chinese provincial economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1168-1180.
    9. Aruga, Kentaka & Managi, Shunsuke, 2011. "Price linkages in the copper futures, primary, and scrap markets," Resources, Conservation & Recycling, Elsevier, vol. 56(1), pages 43-47.
    10. Brown, M. T. & Herendeen, R. A., 1996. "Embodied energy analysis and EMERGY analysis: a comparative view," Ecological Economics, Elsevier, vol. 19(3), pages 219-235, December.
    11. Anne Owen & Richard Wood & John Barrett & Andrew Evans, 2016. "Explaining value chain differences in MRIO databases through structural path decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 243-272, June.
    12. Chen, B. & Li, J.S. & Wu, X.F. & Han, M.Y. & Zeng, L. & Li, Z. & Chen, G.Q., 2018. "Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis," Applied Energy, Elsevier, vol. 210(C), pages 98-107.
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