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Urban Metabolism of Three Cities in Jing-Jin-Ji Urban Agglomeration, China: Using the MuSIASEM Approach

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  • Xiaoyue Wang

    (The Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Shuyao Wu

    (The Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Shuangcheng Li

    (The Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

Abstract

Urban problems—such as resources depletion, environment pollution and waste generation—usually occur during rapid urbanisation processes, especially in mega-urban agglomerations. Finding solutions to sustainable urban development is a global research interest, and urban metabolism is an effective approach to analysing the socio-economic system and ecosystem. In this study, three cities in the Jing-Jin-Ji urban agglomeration in China—Beijing, Tianjin and Tangshan—were selected as study cases. Multiscale integrated analysis of the societal and ecosystem metabolism (MuSIASEM) method and complete decomposition model were applied to reveal the metabolic characteristics and evolutionary trajectories of the three cities from multiple levels and dimensions. Results showed that the metabolic patterns of Beijing, Tianjin and Tangshan were service-dominated, technology and capital aggregation-dominated and traditional industry-dominated, respectively. The evolution of economic efficiency, ecological pressure and social welfare in the three cities were different because of the stage of urban development where they were located. Tianjin and Tangshan showed positive correlations between economic growth and energy consumption, whereas Beijing demonstrated a more neutral correlation. In the future, issues—such as overpopulation, labour shortage and low efficiency of energy and labour—are likely to be the key factors that impede sustainable development in the three cities, respectively. Several policy implications were raised, including the combination of population dispersal and competitive industry relocation policies for Beijing, attracting young labour in the short term and transforming the economic growth patterns in the long term for Tianjin, and industrial upgrades and technical innovation for Tangshan.

Suggested Citation

  • Xiaoyue Wang & Shuyao Wu & Shuangcheng Li, 2017. "Urban Metabolism of Three Cities in Jing-Jin-Ji Urban Agglomeration, China: Using the MuSIASEM Approach," Sustainability, MDPI, vol. 9(8), pages 1-21, August.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:8:p:1481-:d:109131
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    1. Mario Giampietro & Kozo Mayumi & Sandra Bukkens, 2001. "Multiple-Scale Integrated Assessment of Societal Metabolism: An Analytical Tool to Study Development and Sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 3(4), pages 275-307, December.
    2. Jose Carlos Silva-Macher, 2016. "A Metabolic Profile of Peru: An Application of Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) to the Mining Sector's Exosomatic Energy Flows," Journal of Industrial Ecology, Yale University, vol. 20(5), pages 1072-1082, October.
    3. Susan E. Lee & Andrew D. Quinn & Chris D.F. Rogers, 2016. "Advancing City Sustainability via Its Systems of Flows: The Urban Metabolism of Birmingham and Its Hinterland," Sustainability, MDPI, vol. 8(3), pages 1-24, March.
    4. Sorman, Alevgul H. & Giampietro, Mario, 2011. "Generating better energy indicators: Addressing the existence of multiple scales and multiple dimensions," Ecological Modelling, Elsevier, vol. 223(1), pages 41-53.
    5. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    6. Giampietro, Mario & Mayumi, Kozo & Ramos-Martin, Jesus, 2009. "Multi-scale integrated analysis of societal and ecosystem metabolism (MuSIASEM): Theoretical concepts and basic rationale," Energy, Elsevier, vol. 34(3), pages 313-322.
    7. Iorgulescu, Raluca I. & Polimeni, John M., 2009. "A multi-scale integrated analysis of the energy use in Romania, Bulgaria, Poland and Hungary," Energy, Elsevier, vol. 34(3), pages 341-347.
    8. Gasparatos, Alexandros & El-Haram, Mohamed & Horner, Malcolm, 2009. "Assessing the sustainability of the UK society using thermodynamic concepts: Part 1," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1074-1081, June.
    9. Chang Liu & Xueyi Shi & Lulu Qu & Bingyi Li, 2016. "Comparative Analysis for the Urban Metabolic Differences of Two Types of Cities in the Resource-Dependent Region Based on Emergy Theory," Sustainability, MDPI, vol. 8(7), pages 1-11, July.
    10. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    11. Geng, Yong & Liu, Ye & Liu, Dan & Zhao, Hengxin & Xue, Bing, 2011. "Regional societal and ecosystem metabolism analysis in China: A multi-scale integrated analysis of societal metabolism(MSIASM) approach," Energy, Elsevier, vol. 36(8), pages 4799-4808.
    12. Christopher Kennedy & John Cuddihy & Joshua Engel‐Yan, 2007. "The Changing Metabolism of Cities," Journal of Industrial Ecology, Yale University, vol. 11(2), pages 43-59, April.
    13. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    14. Pere Ariza-Montobbio & Katharine Farrell & Gonzalo Gamboa & Jesus Ramos-Martin, 2014. "Integrating energy and land-use planning: socio-metabolic profiles along the rural–urban continuum in Catalonia (Spain)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(4), pages 925-956, August.
    15. Ramos-Martín, Jesús & Cañellas-Boltà, Sílvia & Giampietro, Mario & Gamboa, Gonzalo, 2009. "Catalonia's energy metabolism: Using the MuSIASEM approach at different scales," Energy Policy, Elsevier, vol. 37(11), pages 4658-4671, November.
    16. Giampietro, Mario & Mayumi, Kozo, 1997. "A dynamic model of socioeconomic systems based on hierarchy theory and its application to sustainability," Structural Change and Economic Dynamics, Elsevier, vol. 8(4), pages 453-469, October.
    17. Ramos-Martin, Jesus & Giampietro, Mario & Mayumi, Kozo, 2007. "On China's exosomatic energy metabolism: An application of multi-scale integrated analysis of societal metabolism (MSIASM)," Ecological Economics, Elsevier, vol. 63(1), pages 174-191, June.
    18. Gasparatos, Alexandros & El-Haram, Mohamed & Horner, Malcolm, 2009. "Assessing the sustainability of the UK society using thermodynamic concepts: Part 2," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 956-970, June.
    19. Velasco-Fernández, Raúl & Ramos-Martín, Jesus & Giampietro, Mario, 2015. "The energy metabolism of China and India between 1971 and 2010: Studying the bifurcation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1052-1066.
    20. Wang, Qiang & Wu, Shi-dai & Zeng, Yue-e & Wu, Bo-wei, 2016. "Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1563-1579.
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    6. Chen, Lei & Xu, Linyu & Velasco-Fernández, Raúl & Giampietro, Mario & Yang, Zhifeng, 2021. "Residential energy metabolic patterns in China: A study of the urbanization process," Energy, Elsevier, vol. 215(PA).

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