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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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    1. Jian-Xin Wu & Ling-Yun He, 2018. "Urban–rural gap and poverty traps in China: A prefecture level analysis," Applied Economics, Taylor & Francis Journals, vol. 50(30), pages 3300-3314, June.
    2. Qing Huang & Xinqi Zheng & Yecui Hu, 2015. "Analysis of Land-Use Emergy Indicators Based on Urban Metabolism: A Case Study for Beijing," Sustainability, MDPI, vol. 7(6), pages 1-19, June.
    3. HE, Ling-Yun & QIU, Lu-Yi, 2016. "Transport demand, harmful emissions, environment and health co-benefits in China," Energy Policy, Elsevier, vol. 97(C), pages 267-275.
    4. Zhang, Yan & Li, Shengsheng & Fath, Brian D. & Yang, Zhifeng & Yang, Naijin, 2011. "Analysis of an urban energy metabolic system: Comparison of simple and complex model results," Ecological Modelling, Elsevier, vol. 223(1), pages 14-19.
    5. Fath, Brian D. & Killian, Megan C., 2007. "The relevance of ecological pyramids in community assemblages," Ecological Modelling, Elsevier, vol. 208(2), pages 286-294.
    6. Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2010. "Ecological network analysis of an urban energy metabolic system: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 221(16), pages 1865-1879.
    7. Hao, Yan & Zhang, Menghui & Zhang, Yan & Fu, Chenling & Lu, Zhongming, 2018. "Multi-scale analysis of the energy metabolic processes in the Beijing–Tianjin–Hebei (Jing-Jin-Ji) urban agglomeration," Ecological Modelling, Elsevier, vol. 369(C), pages 66-76.
    8. Zhang, Yan & Liu, Hong & Fath, Brian D., 2014. "Synergism analysis of an urban metabolic system: Model development and a case study for Beijing, China," Ecological Modelling, Elsevier, vol. 272(C), pages 188-197.
    9. M Alberti, 1999. "Modeling the Urban Ecosystem: A Conceptual Framework," Environment and Planning B, , vol. 26(4), pages 605-629, August.
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    Cited by:

    1. 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).
    2. 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).
    3. 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.
    4. 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.

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