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Dominants in evolution of urban energy metabolism: A case study of Beijing

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  • Hu, Guangwen
  • Mu, Xianzhong

Abstract

Ecological network analysis is an important tool for urban energy metabolism research, but it does not consider the dynamic and synergy features of the system, which constraints its application in urban transition studies. In this paper, we modified the ecological network analysis method to identify the key factors that dominate the evolution of the urban energy metabolism. Focusing on the dynamic and synergy characteristics of the system, we observed the changes of direct and indirect energy consumption flows and combined with Haken model to determine the dominant factors of the metabolic processes. A case study on Beijing was conducted to diagnose the key flows that impact the evolution of Beijing’s energy metabolic system during 2010–2015. Results suggest that despite the decline in Beijing’s coal consumptions, the direct and indirect parts have different tendency among sectors. During the research period, the pathway “coal to industry” displays dominant effects on the evolution of Beijing’s energy metabolic system.

Suggested Citation

  • Hu, Guangwen & Mu, Xianzhong, 2018. "Dominants in evolution of urban energy metabolism: A case study of Beijing," Ecological Modelling, Elsevier, vol. 385(C), pages 26-34.
    • Handle: RePEc:eee:ecomod:v:385:y:2018:i:c:p:26-34
    DOI: 10.1016/j.ecolmodel.2018.07.008
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    References listed on IDEAS

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    Cited by:

    1. Liu, Ningyin & Zhang, Yan & Fath, Brian D., 2021. "The material metabolism characteristics and growth patterns of the central cities of China's Beijing-Tianjin-Hebei region," Ecological Modelling, Elsevier, vol. 448(C).
    2. Chuang Tu & Xianzhong Mu & Yufeng Wu & Yifan Gu & Guangwen Hu, 2022. "Heterogenous impacts of components in urban energy metabolism: evidences from gravity model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10089-10117, August.
    3. Liu, Xiuli & Guo, Pibin & Yue, Xiaohang & Qi, Xiaoyan & Guo, Shufeng & Zhou, Xijun, 2021. "Measuring metabolic efficiency of the Beijing–Tianjin–Hebei urban agglomeration: A slacks-based measures method," Resources Policy, Elsevier, vol. 70(C).
    4. Zhu, Xueting & Mu, Xianzhong & Hu, Guangwen, 2019. "Ecological network analysis of urban energy metabolic system—A case study of Beijing," Ecological Modelling, Elsevier, vol. 404(C), pages 36-45.

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