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Energy footprint controlled by urban demands: How much does supply chain complexity contribute?

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  • Chen, Shaoqing
  • Zhu, Feiyao
  • Long, Huihui
  • Yang, Jin

Abstract

Few insights have been gained on how the complexity of supply chains affects energy footprint of an urban economy. To fill in this research gap, we develop a new approach to systemically assess the impact of changing structure of supply chains on urban energy footprint over time. With the integration of input-output analysis, structural decomposition analysis and ecological network analysis, the approach is capable of identifying and quantifying the drivers that control urban energy flows associated with simple and complex supply chains. Using the city of Beijing as demonstration, we find the contribution of complex supply chains to the total energy footprint controlled by urban demand increased drastically from 12% in 1985 to 47% in 2012. Supply chain complexity has become a stronger driver over 2000–2012 than control structure and population in altering the city's energy footprint. The lowering of network efficiency due to the increased complexity of supply chains may destabilize urban energy systems and should be treated with caution in managing energy flows of cities. This approach can be generalized to assess how the dynamics of energy and environmental footprints is affected by evolving supply chains in economy.

Suggested Citation

  • Chen, Shaoqing & Zhu, Feiyao & Long, Huihui & Yang, Jin, 2019. "Energy footprint controlled by urban demands: How much does supply chain complexity contribute?," Energy, Elsevier, vol. 183(C), pages 561-572.
  • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:561-572
    DOI: 10.1016/j.energy.2019.06.167
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    as
    1. Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
    2. Chen, Shaoqing & Xu, Bing & Chen, Bin, 2018. "Unfolding the interplay between carbon flows and socioeconomic development in a city: What can network analysis offer?," Applied Energy, Elsevier, vol. 211(C), pages 403-412.
    3. Kharrazi, Ali & Rovenskaya, Elena & Fath, Brian D. & Yarime, Masaru & Kraines, Steven, 2013. "Quantifying the sustainability of economic resource networks: An ecological information-based approach," Ecological Economics, Elsevier, vol. 90(C), pages 177-186.
    4. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    5. Zhang, Wenwen & Robinson, Caleb & Guhathakurta, Subhrajit & Garikapati, Venu M. & Dilkina, Bistra & Brown, Marilyn A. & Pendyala, Ram M., 2018. "Estimating residential energy consumption in metropolitan areas: A microsimulation approach," Energy, Elsevier, vol. 155(C), pages 162-173.
    6. Sai Liang & Yu Feng & Ming Xu, 2015. "Structure of the Global Virtual Carbon Network: Revealing Important Sectors and Communities for Emission Reduction," Journal of Industrial Ecology, Yale University, vol. 19(2), pages 307-320, April.
    7. Manfred Lenzen & Greg M. Peters, 2010. "How City Dwellers Affect Their Resource Hinterland," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 73-90, January.
    8. Jiali Huang & Robert E Ulanowicz, 2014. "Ecological Network Analysis for Economic Systems: Growth and Development and Implications for Sustainable Development," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-8, June.
    9. Chen, Shaoqing & Zhu, Feiyao, 2019. "Unveiling key drivers of urban embodied and controlled carbon footprints," Applied Energy, Elsevier, vol. 235(C), pages 835-845.
    10. Wachsmann, Ulrike & Wood, Richard & Lenzen, Manfred & Schaeffer, Roberto, 2009. "Structural decomposition of energy use in Brazil from 1970 to 1996," Applied Energy, Elsevier, vol. 86(4), pages 578-587, April.
    11. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    12. Lenzen, Manfred & Moran, Daniel & Bhaduri, Anik & Kanemoto, Keiichiro & Bekchanov, Maksud & Geschke, Arne & Foran, Barney, 2013. "International trade of scarce water," Ecological Economics, Elsevier, vol. 94(C), pages 78-85.
    13. Parshall, Lily & Gurney, Kevin & Hammer, Stephen A. & Mendoza, Daniel & Zhou, Yuyu & Geethakumar, Sarath, 2010. "Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States," Energy Policy, Elsevier, vol. 38(9), pages 4765-4782, September.
    14. Hanspeter Wieland & Stefan Giljum & Martin Bruckner & Anne Owen & Richard Wood, 2018. "Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments," Economic Systems Research, Taylor & Francis Journals, vol. 30(1), pages 61-84, January.
    15. Manfred Lenzen, 2002. "Differential Convergence of Life‐Cycle Inventories toward Upstream Production Layers," Journal of Industrial Ecology, Yale University, vol. 6(3‐4), pages 137-160, July.
    16. Manfred Lenzen & Lise-Lotte Pade & Jesper Munksgaard, 2004. "CO2 Multipliers in Multi-region Input-Output Models," Economic Systems Research, Taylor & Francis Journals, vol. 16(4), pages 391-412.
    17. Owen, Anne & Scott, Kate & Barrett, John, 2018. "Identifying critical supply chains and final products: An input-output approach to exploring the energy-water-food nexus," Applied Energy, Elsevier, vol. 210(C), pages 632-642.
    18. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    19. Liu, Hongtao & Xi, Youmin & Guo, Ju'e & Li, Xia, 2010. "Energy embodied in the international trade of China: An energy input-output analysis," Energy Policy, Elsevier, vol. 38(8), pages 3957-3964, August.
    20. Lan, Jun & Malik, Arunima & Lenzen, Manfred & McBain, Darian & Kanemoto, Keiichiro, 2016. "A structural decomposition analysis of global energy footprints," Applied Energy, Elsevier, vol. 163(C), pages 436-451.
    21. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    22. Stefan Giljum & Hanspeter Wieland & Stephan Lutter & Martin Bruckner & Richard Wood & Arnold Tukker & Konstantin Stadler, 2016. "Identifying priority areas for European resource policies: a MRIO-based material footprint assessment," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-24, December.
    23. 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.
    24. Thomas Wiedmann, 2009. "Editorial: Carbon Footprint And Input-Output Analysis - An Introduction," Economic Systems Research, Taylor & Francis Journals, vol. 21(3), pages 175-186.
    25. Wood, Richard & Lenzen, Manfred, 2009. "Structural path decomposition," Energy Economics, Elsevier, vol. 31(3), pages 335-341, May.
    26. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    27. Li, Y. & Chen, B. & Yang, Z.F., 2009. "Ecological network analysis for water use systems—A case study of the Yellow River Basin," Ecological Modelling, Elsevier, vol. 220(22), pages 3163-3173.
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