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The role of mineral-related industries in Chinese industrial pattern

Author

Listed:
  • Li, Weidong
  • Wang, Anjian
  • Zhong, Weiqiong
  • Xing, Wanli
  • Liu, Jinna

Abstract

Mining industry provides raw materials for economic development, and is a basic industry with strong correlation with other industries. Meanwhile, mining industry possess the feature of “high energy consumption, high pollution and high emissions”. Especially in today's society where environmental protection is increasingly becoming the main theme, it has become an important issue for people to actively coordinate the relationship between mining and environmental protection, and promote the green transformation of mining industry. Combining industrial relationship and complex network, industrial complex network is applied to explore the industrial relevance, which is a perfect method to research industrial pattern. Based on the input-output data of China (1990–2018), this paper constructed the industrial complex network model to describe the evolution characteristics of Chinese industrial pattern. Then we focused on the mineral-related industries, to explore their role and position in Chinese industrial pattern by analysis of network overall and individual indicators and community division. The results show that Chinese industrial network has small world property, and the closeness of various industries is increasing, and the characteristic of industrial clusters ais obvious; The system of Chinese manufacturing industry is becoming more and more perfect and remains an important pillar and foundation of the national economy; Smelting and processing of metals industry plays an important role in connecting the preceding and the following. This paper provides a new perspective for the study of China's mining industry pattern and puts forward corresponding policy suggestions for the adjustment of industrial structure. At the same time, relevant development experience can also serve as a reference for subsequent countries.

Suggested Citation

  • Li, Weidong & Wang, Anjian & Zhong, Weiqiong & Xing, Wanli & Liu, Jinna, 2022. "The role of mineral-related industries in Chinese industrial pattern," Resources Policy, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000411
    DOI: 10.1016/j.resourpol.2022.102590
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    References listed on IDEAS

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    1. Liang, Xuedong & Yang, Xu & Yan, Fuhai & Li, Zhi, 2020. "Exploring global embodied metal flows in international trade based combination of multi-regional input-output analysis and complex network analysis," Resources Policy, Elsevier, vol. 67(C).
    2. Raffaele Giammetti & Alberto Russo & Mauro Gallegati, 2020. "Key sectors in input–output production networks: An application to Brexit," The World Economy, Wiley Blackwell, vol. 43(4), pages 840-870, April.
    3. Réka Albert & Hawoong Jeong & Albert-László Barabási, 1999. "Diameter of the World-Wide Web," Nature, Nature, vol. 401(6749), pages 130-131, September.
    4. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2014. "Competition, transmission and pattern evolution: A network analysis of global oil trade," Energy Policy, Elsevier, vol. 73(C), pages 312-322.
    5. Federica Cerina & Zhen Zhu & Alessandro Chessa & Massimo Riccaboni, 2015. "World Input-Output Network," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-21, July.
    6. 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.
    7. Guo, Shengyu & Zhou, Xinyu & Tang, Bing & Gong, Peisong, 2020. "Exploring the behavioral risk chains of accidents using complex network theory in the construction industry," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    8. Wang, Xibo & Wei, Wendong & Ge, Jianping & Wu, Bin & Bu, Wei & Li, Jiashuo & Yao, Mingtao & Guan, Qing, 2017. "Embodied rare earths flow between industrial sectors in China: A complex network approach," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 363-374.
    9. 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.
    Full references (including those not matched with items on IDEAS)

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