IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v76y2022ics0301420722000411.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420722000411
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2022.102590?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Junfeng & Shen, Fei & Zhang, Jingru, 2023. "Economic and environmental effects of mineral resource exploitation: Evidence from China," Resources Policy, Elsevier, vol. 86(PB).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bartesaghi, Paolo & Clemente, Gian Paolo & Grassi, Rosanna & Luu, Duc Thi, 2022. "The multilayer architecture of the global input-output network and its properties," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 304-341.
    2. 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).
    3. Stefano Costa & Federico Sallusti & Claudio Vicarelli, 2022. "Trade networks and shock transmission capacity: a new taxonomy of Italian industries," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(1), pages 133-153, March.
    4. 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.
    5. Zhang, Hui-min & Feng, Tian-tian & Yang, Yi-sheng, 2022. "Influencing factors and critical path of inter-sector embodied heavy rare earth consumption in China," Resources Policy, Elsevier, vol. 75(C).
    6. Fathin Faizah Said & Sharifah Nur Ainn Syed Roslan & Mohd Azlan Shah Zaidi & Mohd Ridzwan Yaakub, 2021. "A Probe into the Status of the Oil Palm Sector in the Malaysian Value Chain," Economies, MDPI, vol. 9(3), pages 1-24, July.
    7. Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
    8. Yawen Han & Wanli Xing & Hongchang Hao & Xin Du & Chongyang Liu, 2022. "Interprovincial Metal and GHG Transfers Embodied in Electricity Transmission across China: Trends and Driving Factors," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    9. Huang, Jianbai & Ding, Qian & Wang, Ying & Hong, Huojun & Zhang, Hongwei, 2021. "The evolution and influencing factors of international tungsten competition from the industrial chain perspective," Resources Policy, Elsevier, vol. 73(C).
    10. Thomas Wiedmann, 2017. "An input–output virtual laboratory in practice – survey of uptake, usage and applications of the first operational IELab," Economic Systems Research, Taylor & Francis Journals, vol. 29(2), pages 296-312, April.
    11. Mohd-Zaid, Fairul & Kabban, Christine M. Schubert & Deckro, Richard F. & White, Edward D., 2017. "Parameter specification for the degree distribution of simulated Barabási–Albert graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 141-152.
    12. Xu, Hai-Chuan & Wang, Zhi-Yuan & Jawadi, Fredj & Zhou, Wei-Xing, 2023. "Reconstruction of international energy trade networks with given marginal data: A comparative analysis," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    13. Chen, Shu-Heng & Chang, Chia-Ling & Wen, Ming-Chang, 2014. "Social networks and macroeconomic stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-40.
    14. Hylke Vandenbussche & William Connell & Wouter Simons, 2022. "Global value chains, trade shocks and jobs: An application to Brexit," The World Economy, Wiley Blackwell, vol. 45(8), pages 2338-2369, August.
    15. Yang, Honghua & Ma, Linwei & Li, Zheng, 2023. "Tracing China's steel use from steel flows in the production system to steel footprints in the consumption system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
    16. Zhang, Wen-Yao & Wei, Zong-Wen & Wang, Bing-Hong & Han, Xiao-Pu, 2016. "Measuring mixing patterns in complex networks by Spearman rank correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 440-450.
    17. Hartono, Djoni & Resosudarmo, Budy P., 2008. "The economy-wide impact of controlling energy consumption in Indonesia: An analysis using a Social Accounting Matrix framework," Energy Policy, Elsevier, vol. 36(4), pages 1404-1419, April.
    18. Li, Huajiao & An, Haizhong & Liu, Xueyong & Gao, Xiangyun & Fang, Wei & An, Feng, 2016. "Price fluctuation in the energy stock market based on fluctuation and co-fluctuation matrix transmission networks," Energy, Elsevier, vol. 117(P1), pages 73-83.
    19. Çağatay, Selim & Taşdoğan, Celal & Özeş, Reyhan, 2017. "Analysing the impact of targeted bio-ethanol blending ratio in Turkey," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(2), September.
    20. Chen, Liming & Zhao, Yuanyuan & Xie, Rui & Su, Bin & Liu, Yue & Renfei, Xv, 2023. "Embodied energy intensity of global high energy consumption industries: A case study of the construction industry," Energy, Elsevier, vol. 277(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000411. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.