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Retrospective and Prospective Analysis on the Trends of China’s Steel Production

Author

Listed:
  • Xuan Yanni

    (SEP Key Laboratory of Eco-Industry, Northeastern University, Shenyang110819, China)

  • Yue Qiang

    (SEP Key Laboratory of Eco-Industry, Northeastern University, Shenyang110819, China)

Abstract

Economic development has contributed to the rapid expansion of China's steel industry during the past two decades, which has resulted in numerous problems including increased energy consumption and excessive environmental pollution. This study examines changes in crude steel production, steel scrap consumption, energy consumption, CO2 emissions and steel stocks per capita from 2000 to 2014. Scenario analysis based on QGT equation is provided to accurately assess China's steel demand. Under three different scenarios, the peak of steel production and the variation trend of energy consumption, CO2 emissions, steel stocks per capita and steel scrap are analyzed from 2010 to 2030. Based on Chinese situation, the most reasonable variation trend of China's steel production is proposed, which will increase from 626.7 Mt in 2010 to approximately 914 Mt in 2020, then gradually decrease to about 870 Mt in 2030. Steel stocks per capita will increase from 3.8 t/cap in 2010 to 8.09 t/cap in 2020 (the inferior limit of completing industrialization), then reach 11.46 t/cap in 2030 and stabilize. The peaks of energy consumption and CO2 emissions in steel industry are expected to reach 505.37 Mtce and 1444.1 Mt in 2020, respectively. The scrap ratio is expected to reach 0.36 by 2030, when steel scrap resources will be relatively sufficient. This paper can provide corresponding theoretical basis for the government to make decision-making of macro-control.

Suggested Citation

  • Xuan Yanni & Yue Qiang, 2016. "Retrospective and Prospective Analysis on the Trends of China’s Steel Production," Journal of Systems Science and Information, De Gruyter, vol. 4(4), pages 291-306, August.
    • Handle: RePEc:bpj:jossai:v:4:y:2016:i:4:p:291-306:n:1
    DOI: 10.21078/JSSI-2016-291-16
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    References listed on IDEAS

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    1. Ma, Ding & Chen, Wenying & Yin, Xiang & Wang, Lining, 2016. "Quantifying the co-benefits of decarbonisation in China’s steel sector: An integrated assessment approach," Applied Energy, Elsevier, vol. 162(C), pages 1225-1237.
    2. David G. Tarr, 1988. "The Steel Crisis in the United States and the European Community: Causes and Adjustments," NBER Chapters, in: Issues in US-EC Trade Relations, pages 173-200, National Bureau of Economic Research, Inc.
    3. Ma, Weimin & Zhu, Xiaoxi & Wang, Miaomiao, 2013. "Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm," Resources Policy, Elsevier, vol. 38(4), pages 613-620.
    4. Chen, Wenying & Yin, Xiang & Ma, Ding, 2014. "A bottom-up analysis of China’s iron and steel industrial energy consumption and CO2 emissions," Applied Energy, Elsevier, vol. 136(C), pages 1174-1183.
    5. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    6. Yin, Xiang & Chen, Wenying, 2013. "Trends and development of steel demand in China: A bottom–up analysis," Resources Policy, Elsevier, vol. 38(4), pages 407-415.
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