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A study of hierarchical structure on South China industrial electricity-consumption correlation

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  • Yao, Can-Zhong
  • Lin, Ji-Nan
  • Liu, Xiao-Feng

Abstract

Based on industrial electricity-consumption data of five southern provinces of China from 2005 to 2013, we study the industrial correlation mechanism with MST (minimal spanning tree) and HT (hierarchical tree) models.

Suggested Citation

  • Yao, Can-Zhong & Lin, Ji-Nan & Liu, Xiao-Feng, 2016. "A study of hierarchical structure on South China industrial electricity-consumption correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 129-145.
    • Handle: RePEc:eee:phsmap:v:444:y:2016:i:c:p:129-145
    DOI: 10.1016/j.physa.2015.09.101
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Yao, Can-Zhong & Lin, Ji-Nan & Lin, Qing-Wen & Zheng, Xu-Zhou & Liu, Xiao-Feng, 2016. "A study of causality structure and dynamics in industrial electricity consumption based on Granger network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 297-320.
    2. Yao, Can-Zhong & Lin, Qing-Wen & Lin, Ji-Nan, 2016. "A study of industrial electricity consumption based on partial Granger causality network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 629-646.
    3. Yao, Can-Zhong & Lin, Qing-Wen, 2017. "Recurrence plots analysis of the CNY exchange markets based on phase space reconstruction," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 584-596.
    4. Liu, Jingming & Hou, Xianhui & Wang, Zhanqi & Shen, Yue, 2021. "Study the effect of industrial structure optimization on urban land-use efficiency in China," Land Use Policy, Elsevier, vol. 105(C).
    5. Yao, Can-Zhong & Lin, Qing-Wen, 2017. "The mutual causality analysis between the stock and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 188-204.
    6. Zeitsch, Peter J., 2019. "A jump model for credit default swaps with hierarchical clustering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 737-775.
    7. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 144-155.

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