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Urban CO2 emissions in China: Spatial boundary and performance comparison

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  • Cai, Bofeng
  • Zhang, Lixiao

Abstract

Different names/concepts and therefore different spatial boundaries for cities in China are responsible for the conflicting and confusing results associated with urban CO2 emissions accounting. In this study, four types of urban boundaries, i.e., city administrative boundary (UB1), city district boundary (UB2), city built-up area (UB3) and urban proper (UB4), were identified and defined. Tianjin was subsequently selected as the case city to illustrate the different performances of CO2 emissions with respect to these four boundaries using a 1-km grid dataset built bottom-up by point-emission sources. Different urban boundaries can induce a difference in CO2 emissions as large as 654%. UB1 and UB2 are not the appropriate proxies for urban boundaries in the analysis of urban CO2 emissions, although UB1 is a widely adopted boundary. UB3 is a good representative of city clusters and urban sprawl in a certain region, whereas UB4 is the appropriate system boundary for such issues as urban CO2 emissions in light of landscape characteristics and pertinent human activities, as well as the comparability to counterparts in developed countries. These results provide sound policy implications for the improvement of urban energy management and carbon emission abatement in China.

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  • Cai, Bofeng & Zhang, Lixiao, 2014. "Urban CO2 emissions in China: Spatial boundary and performance comparison," Energy Policy, Elsevier, vol. 66(C), pages 557-567.
    • Handle: RePEc:eee:enepol:v:66:y:2014:i:c:p:557-567
    DOI: 10.1016/j.enpol.2013.10.072
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    1. Daniel Hoornweg & Mila Freire & Marcus J. Lee & Perinaz Bhada-Tata & Belinda Yuen, 2011. "Cities and Climate Change : Responding to an Urgent Agenda," World Bank Publications - Books, The World Bank Group, number 2312, December.
    2. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    3. Cai, Bofeng & Yang, Weishan & Cao, Dong & Liu, Lancui & Zhou, Ying & Zhang, Zhansheng, 2012. "Estimates of China's national and regional transport sector CO2 emissions in 2007," Energy Policy, Elsevier, vol. 41(C), pages 474-483.
    4. Chen, G.Q. & Chen, Z.M., 2011. "Greenhouse gas emissions and natural resources use by the world economy: Ecological input–output modeling," Ecological Modelling, Elsevier, vol. 222(14), pages 2362-2376.
    5. 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.
    6. Jared R. VandeWeghe & Christopher Kennedy, 2007. "A Spatial Analysis of Residential Greenhouse Gas Emissions in the Toronto Census Metropolitan Area," Journal of Industrial Ecology, Yale University, vol. 11(2), pages 133-144, April.
    7. Raupach, M.R. & Rayner, P.J. & Paget, M., 2010. "Regional variations in spatial structure of nightlights, population density and fossil-fuel CO2 emissions," Energy Policy, Elsevier, vol. 38(9), pages 4756-4764, September.
    8. Lixiao Zhang & Yueyi Feng & Bin Chen, 2011. "Alternative Scenarios for the Development of a Low-Carbon City: A Case Study of Beijing, China," Energies, MDPI, vol. 4(12), pages 1-16, December.
    9. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    10. Li, Li & Chen, Changhong & Xie, Shichen & Huang, Cheng & Cheng, Zhen & Wang, Hongli & Wang, Yangjun & Huang, Haiying & Lu, Jun & Dhakal, Shobhakar, 2010. "Energy demand and carbon emissions under different development scenarios for Shanghai, China," Energy Policy, Elsevier, vol. 38(9), pages 4797-4807, September.
    11. Clinton Andrews, 2008. "Greenhouse gas emissions along the rural-urban gradient," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 51(6), pages 847-870.
    12. Li, J.S. & Chen, G.Q., 2013. "Energy and greenhouse gas emissions review for Macao," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 23-32.
    13. Li, J.S. & Chen, G.Q. & Lai, T.M. & Ahmad, B. & Chen, Z.M. & Shao, L. & Ji, Xi, 2013. "Embodied greenhouse gas emission by Macao," Energy Policy, Elsevier, vol. 59(C), pages 819-833.
    14. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
    15. Lin, Jianyi & Liu, Yuan & Meng, Fanxin & Cui, Shenghui & Xu, Lilai, 2013. "Using hybrid method to evaluate carbon footprint of Xiamen City, China," Energy Policy, Elsevier, vol. 58(C), pages 220-227.
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