IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v367y2018icp58-67.html
   My bibliography  Save this article

Understanding the mechanism of urban material metabolism with ecological network analysis: An experimental study of Wuxi, China

Author

Listed:
  • Li, Yanxian
  • Wang, Xinjing
  • Tian, Xin
  • Zhang, Yan

Abstract

Cities are considered to be major consumers of natural resources, creating global resource shortages and environmental challenges. Therefore, understanding the mechanism of material metabolism is crucial for modern cities’ sustainable development. Here we took the city of Wuxi as an example, first constructing a network composed of 8 components. Combining material accounting and ecological network analysis, we analyzed the integrated flow process and components’ weight distributions for 6 years. Additionally, relationships among components were identified, to examine the synergism level of the metabolic system. Our results indicate that Wuxi’s urban system was dependent on its environment, and the integrated material inflow of transportation, household consumption and mining increased to 1.55, 1.36 and 3.36, respectively, during the study period. Environment and household consumption accounted for the largest sectoral weights (20.9% and 20.0%, respectively), while that of manufacturing, and mining changed significantly by 5.1% and 4.4%, respectively. Within the system, the environment supplied resources, agriculture and mining utilized renewable resources, venous industry promoted resource recycling. Mutualism relationships were mainly related to these sectors. However, exploitation and control were the dominant relationships in Wuxi, and the whole system’s synergism level still needed to be improved. This study provides a scientific guidance for the future structural adjustment and resource utilization for Wuxi and the similar medium-sized cities with rapid economic development in China.

Suggested Citation

  • Li, Yanxian & Wang, Xinjing & Tian, Xin & Zhang, Yan, 2018. "Understanding the mechanism of urban material metabolism with ecological network analysis: An experimental study of Wuxi, China," Ecological Modelling, Elsevier, vol. 367(C), pages 58-67.
  • Handle: RePEc:eee:ecomod:v:367:y:2018:i:c:p:58-67
    DOI: 10.1016/j.ecolmodel.2017.09.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438001730323X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2017.09.007?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. Zhang, Yan & Liu, Hong & Chen, Bin, 2013. "Comprehensive evaluation of the structural characteristics of an urban metabolic system: Model development and a case study of Beijing," Ecological Modelling, Elsevier, vol. 252(C), pages 106-113.
    2. 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.
    3. Sabine Barles, 2010. "Society, energy and materials: the contribution of urban metabolism studies to sustainable urban development issues," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 53(4), pages 439-455.
    4. Liu, G.Y. & Yang, Z.F. & Chen, B. & Zhang, Y., 2011. "Ecological network determination of sectoral linkages, utility relations and structural characteristics on urban ecological economic system," Ecological Modelling, Elsevier, vol. 222(15), pages 2825-2834.
    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. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    7. 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.
    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. Jiulin Li & Jiangang Xu & Jinlong Chu, 2019. "The Construction of a Regional Ecological Security Pattern Based on Circuit Theory," Sustainability, MDPI, vol. 11(22), pages 1-17, November.

    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. 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.
    2. Zhang, Yan & Li, Yanxian & Zheng, Hongmei, 2017. "Ecological network analysis of energy metabolism in the Beijing-Tianjin-Hebei (Jing-Jin-Ji) urban agglomeration," Ecological Modelling, Elsevier, vol. 351(C), pages 51-62.
    3. Zhang, Yan & Zheng, Hongmei & Yang, Zhifeng & Su, Meirong & Liu, Gengyuan & Li, Yanxian, 2015. "Multi-regional input–output model and ecological network analysis for regional embodied energy accounting in China," Energy Policy, Elsevier, vol. 86(C), pages 651-663.
    4. Zhang, Yan & Zheng, Hongmei & Fath, Brian D., 2014. "Analysis of the energy metabolism of urban socioeconomic sectors and the associated carbon footprints: Model development and a case study for Beijing," Energy Policy, Elsevier, vol. 73(C), pages 540-551.
    5. 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.
    6. Xuecheng Wang & Xu Tang & Baosheng Zhang & Benjamin C. McLellan & Yang Lv, 2018. "Provincial Carbon Emissions Reduction Allocation Plan in China Based on Consumption Perspective," Sustainability, MDPI, vol. 10(5), pages 1-23, April.
    7. Dai, Jiangyu & Wu, Shiqiang & Han, Guoyi & Weinberg, Josh & Xie, Xinghua & Wu, Xiufeng & Song, Xingqiang & Jia, Benyou & Xue, Wanyun & Yang, Qianqian, 2018. "Water-energy nexus: A review of methods and tools for macro-assessment," Applied Energy, Elsevier, vol. 210(C), pages 393-408.
    8. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    9. Wang, Saige & Chen, Bin, 2016. "Energy–water nexus of urban agglomeration based on multiregional input–output tables and ecological network analysis: A case study of the Beijing–Tianjin–Hebei region," Applied Energy, Elsevier, vol. 178(C), pages 773-783.
    10. Zeyang Bian & Dan Liu, 2021. "A Comprehensive Review on Types, Methods and Different Regions Related to Water–Energy–Food Nexus," IJERPH, MDPI, vol. 18(16), pages 1-24, August.
    11. Ahmad, Shakeel & Jia, Haifeng & Chen, Zhengxia & Li, Qian & Xu, Changqing, 2020. "Water-energy nexus and energy efficiency: A systematic analysis of urban water systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    12. 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).
    13. 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.
    14. Duan, Cuncun & Chen, Bin, 2017. "Energy–water nexus of international energy trade of China," Applied Energy, Elsevier, vol. 194(C), pages 725-734.
    15. Yang, Siyuan & Fath, Brian & Chen, Bin, 2016. "Ecological network analysis of embodied particulate matter 2.5 – A case study of Beijing," Applied Energy, Elsevier, vol. 184(C), pages 882-888.
    16. Meng, Fanxin & Liu, Gengyuan & Liang, Sai & Su, Meirong & Yang, Zhifeng, 2019. "Critical review of the energy-water-carbon nexus in cities," Energy, Elsevier, vol. 171(C), pages 1017-1032.
    17. Chen, Shaoqing & Chen, Bin, 2016. "Urban energy–water nexus: A network perspective," Applied Energy, Elsevier, vol. 184(C), pages 905-914.
    18. Francisco Orlando Rosales & Brian D. Fath & Grace Yolanda Llerena, 2023. "Quantifying a virtual water metabolic network of the Metropolitan District of Quito, Ecuador using ecological network methods," Journal of Industrial Ecology, Yale University, vol. 27(5), pages 1304-1318, October.
    19. 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.
    20. Cornelis Leeuwen & Jos Frijns & Annemarie Wezel & Frans Ven, 2012. "City Blueprints: 24 Indicators to Assess the Sustainability of the Urban Water Cycle," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2177-2197, June.

    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:ecomod:v:367:y:2018:i:c:p:58-67. 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.journals.elsevier.com/ecological-modelling .

    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.