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Network analysis of Chinese provincial economies

Author

Listed:
  • Sun, Xiaoqi
  • An, Haizhong
  • Liu, Xiaojia

Abstract

Global economic system is a huge network formed by national subnetworks that contains the provincial networks. As the second largest world economy, China has “too big to fail” impact on the interconnected global economy. Detecting the critical sectors and vital linkages inside Chinese economic network is meaningful for understanding the origin of this Chinese impact. Different from tradition network research at national level, this paper focuses on the provincial networks and inter-provincial network. Using Chinese inter-regional input–output table to construct 30 provincial input–output networks and one inter-provincial input–output network, we identify central sectors and vital linkages, as well as analyze economic structure similarity. Results show that (1) Communication Devices sector in Guangdong and that in Jiangsu, Transportation and Storage sector in Shanghai play critical roles in Chinese economy. (2) Advanced manufactures and services industry occupy the central positions in eastern provincial economies, while Construction sector, Heavy industry, and Wholesale and Retail Trades sector are influential in middle and western provinces. (3) The critical monetary flow paths in Chinese economy are Communication Devices sector to Communication Devices sector in Guangdong, Metals Mining sector to Iron and Steel Smelting sector in Henan, Communication Devices sector to Communication Devices sector in Jiangsu, as well as Petroleum Mining sector in Heilongjiang to Petroleum Processing sector in Liaoning. (4) Collective influence results suggest that Finance sector, Transportation and Storage sector, Production of Electricity and Heat sector, and Rubber and Plastics sector in Hainan are strategic influencers, despite being weakly connected. These sectors and input–output relations are worthy of close attention for monitoring Chinese economy.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:1168-1180
    DOI: 10.1016/j.physa.2017.11.045
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    Citations

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    Cited by:

    1. 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).
    2. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "To be or not to be dockless: Empirical analysis of dockless bikeshare development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 122-147.
    3. Yang, Qing-Lin & Wang, Li-Fu & Zhao, Guo-Tao & Guo, Ge, 2020. "A coarse graining algorithm based on m-order degree in complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    4. Xueyao Ma & Gang Li & Junjun Zhou & Xing Gao & Qifan Nie & Shuyan Xue & Ling Liu & Jiaobei Wang & Tingting Xu & Annan Jin, 2020. "Family-to-family child migration network of informal adoption in China," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-11, December.
    5. Yanling Jin & Yi Xu & Rui Li & Changping Zhao & Zhenghui Yuan, 2022. "Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    6. Nakano, Satoshi & Nishimura, Kazuhiko, 2018. "Structural propagation in a production network with restoring substitution elasticities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 986-999.
    7. 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.
    8. Chen, Hanxiao & Zheng, Xiaolong & Zeng, Daniel Dajun, 2020. "Analyzing the co-movement and its spatial–temporal patterns in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    9. Huang, Zhongliang & Weng, Wenguo, 2020. "Analysis of geographical migration networks of bride trafficking crime from 2000 to 2018 in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    10. Yuan Yuan & Xintong Sun & Ning Liu, 2022. "Measuring structural characteristics and evolutionary patterns of an industrial carbon footprint network: A social network analysis approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 159-180, November.

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