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Process-based investigation of cross-boundary environmental pressure from urban household consumption

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  • Yang, Dewei
  • Lin, Yanjie
  • Gao, Lijie
  • Sun, Yanwei
  • Wang, Run
  • Zhang, Guoqin

Abstract

Sustainability research at the city scale is increasingly focusing on urban household consumption in the context of global climate change. We use a complementary emergy accounting (EMA) and carbon footprint accounting (CFA) method to investigate the environmental pressure generated by household consumption in Xiamen, China. We distinguish between the resource extraction, consumption and disposal stages within an urban spatial conceptual framework, comprising the Urban Footprint Region (UFR) and Urban Sprawl Region (USR), and analyze five environmental footprint categories associated with cross-boundary household emergy and carbon flows. Cross-boundary activities, which link the USR with its UFR, contributed nearly 90% of total emergy and 70% of total GHG emissions in CFA. Transport fuel, building materials and food contribute most to environmental pressure in both EMA and CFA. The results indicate a significant cross-boundary resource burden and environmental footprint associated with household activities. The employed framework, method, and scope challenge the conventional spatial boundary of the urban system, and the results have important policy implications for urban sustainability and cross-boundary environmental management.

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  • Yang, Dewei & Lin, Yanjie & Gao, Lijie & Sun, Yanwei & Wang, Run & Zhang, Guoqin, 2013. "Process-based investigation of cross-boundary environmental pressure from urban household consumption," Energy Policy, Elsevier, vol. 55(C), pages 626-635.
  • Handle: RePEc:eee:enepol:v:55:y:2013:i:c:p:626-635
    DOI: 10.1016/j.enpol.2012.12.056
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    1. Druckman, Angela & Jackson, Tim, 2009. "The carbon footprint of UK households 1990-2004: A socio-economically disaggregated, quasi-multi-regional input-output model," Ecological Economics, Elsevier, vol. 68(7), pages 2066-2077, May.
    2. Churkina, Galina, 2008. "Modeling the carbon cycle of urban systems," Ecological Modelling, Elsevier, vol. 216(2), pages 107-113.
    3. 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.
    4. Zhang, Yan & Yang, Zhifeng & Yu, Xiangyi, 2009. "Evaluation of urban metabolism based on emergy synthesis: A case study for Beijing (China)," Ecological Modelling, Elsevier, vol. 220(13), pages 1690-1696.
    5. Druckman, A. & Jackson, T., 2008. "Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model," Energy Policy, Elsevier, vol. 36(8), pages 3167-3182, August.
    6. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    7. Baral, Anil & Bakshi, Bhavik R., 2010. "Emergy analysis using US economic input–output models with applications to life cycles of gasoline and corn ethanol," Ecological Modelling, Elsevier, vol. 221(15), pages 1807-1818.
    8. Henri C. Moll & Klaas Jan Noorman & Rixt Kok & Rebecka Engström & Harald Throne‐Holst & Charlotte Clark, 2005. "Pursuing More Sustainable Consumption by Analyzing Household Metabolism in European Countries and Cities," Journal of Industrial Ecology, Yale University, vol. 9(1‐2), pages 259-275, January.
    9. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    10. Lin, Jianyi & Cao, Bin & Cui, Shenghui & Wang, Wei & Bai, Xuemei, 2010. "Evaluating the effectiveness of urban energy conservation and GHG mitigation measures: The case of Xiamen city, China," Energy Policy, Elsevier, vol. 38(9), pages 5123-5132, September.
    11. Wang, Run & Liu, Wenjuan & Xiao, Lishan & Liu, Jian & Kao, William, 2011. "Path towards achieving of China's 2020 carbon emission reduction target--A discussion of low-carbon energy policies at province level," Energy Policy, Elsevier, vol. 39(5), pages 2740-2747, May.
    12. Moloney, Susie & Horne, Ralph E. & Fien, John, 2010. "Transitioning to low carbon communities--from behaviour change to systemic change: Lessons from Australia," Energy Policy, Elsevier, vol. 38(12), pages 7614-7623, December.
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    Cited by:

    1. Fan, Jianshuang & Zhou, Lin & Zhang, Yan & Shao, Shuai & Ma, Miao, 2021. "How does population aging affect household carbon emissions? Evidence from Chinese urban and rural areas," Energy Economics, Elsevier, vol. 100(C).
    2. Yang, Dewei & Kao, William Tze Ming & Zhang, Guoqin & Zhang, Nanyang, 2014. "Evaluating spatiotemporal differences and sustainability of Xiamen urban metabolism using emergy synthesis," Ecological Modelling, Elsevier, vol. 272(C), pages 40-48.

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