IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v121y2018icp553-564.html
   My bibliography  Save this article

Urban carbon flow and structure analysis in a multi-scales economy

Author

Listed:
  • Meng, Fanxin
  • Liu, Gengyuan
  • Hu, Yuanchao
  • Su, Meirong
  • Yang, Zhifeng

Abstract

With the increasing threat of global climate change, carbon emissions reductions in cities have aroused the concern of the world. Carbon flow is one of the profiles that is closely connected to the urban metabolic system. Here, a global environmentally extended multi-scale input-output model was employed to accurately trace the carbon flow in a multi-scales economic system from production and consumption perspectives. Beijing was selected as the case, and the results were as follows: Beijing is typically a net importer of carbon flow (net consumer), which is consistent with Beijing's profile as a consumer metropolis. Further, all seven domestic regions in China were net producers corresponding to Beijing, supporting nearly 96.56% of the net carbon inflows driven by Beijing's final demand. Beijing mainly imports carbon flows from domestic regions and developing areas around the world, while exporting little to developed countries. Aside from the Mining (S2), Non-metallic (S9), and Transport (S17) sectors, all other industrial sectors were net inflows of carbon for Beijing in 2010. In addition, Beijing is located at the bottom of the global production supply chain, transferring the embodied carbon flow to the origin by domestic and international imports. These results indicate that regional coordination and regional trade structure adjustment should be the main measures to tackle global climate change in the future.

Suggested Citation

  • Meng, Fanxin & Liu, Gengyuan & Hu, Yuanchao & Su, Meirong & Yang, Zhifeng, 2018. "Urban carbon flow and structure analysis in a multi-scales economy," Energy Policy, Elsevier, vol. 121(C), pages 553-564.
  • Handle: RePEc:eee:enepol:v:121:y:2018:i:c:p:553-564
    DOI: 10.1016/j.enpol.2018.06.044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518304324
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2018.06.044?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. Chen, B. & Yang, Q. & Zhou, Sili & Li, J.S. & Chen, G.Q., 2017. "Urban economy's carbon flow through external trade: Spatial-temporal evolution for Macao," Energy Policy, Elsevier, vol. 110(C), pages 69-78.
    2. Michael Jakob & Jan Christoph Steckel & Ottmar Edenhofer, 2014. "Consumption- Versus Production-Based Emission Policies," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 297-318, October.
    3. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    4. Weitzel, Matthias & Ma, Tao, 2014. "Emissions embodied in Chinese exports taking into account the special export structure of China," Energy Economics, Elsevier, vol. 45(C), pages 45-52.
    5. Lin, Jianyi & Hu, Yuanchao & Zhao, Xiaofeng & Shi, Longyu & Kang, Jiefeng, 2017. "Developing a city-centric global multiregional input-output model (CCG-MRIO) to evaluate urban carbon footprints," Energy Policy, Elsevier, vol. 108(C), pages 460-466.
    6. Peter L. Daniels & Manfred Lenzen & Steven J. Kenway, 2011. "The Ins And Outs Of Water Use -- A Review Of Multi-Region Input--Output Analysis And Water Footprints For Regional Sustainability Analysis And Policy," Economic Systems Research, Taylor & Francis Journals, vol. 23(4), pages 353-370, October.
    7. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    8. Zhu Liu & Steven J. Davis & Kuishuang Feng & Klaus Hubacek & Sai Liang & Laura Diaz Anadon & Bin Chen & Jingru Liu & Jinyue Yan & Dabo Guan, 2016. "Targeted opportunities to address the climate–trade dilemma in China," Nature Climate Change, Nature, vol. 6(2), pages 201-206, February.
    9. Glen Peters & Robbie Andrew & James Lennox, 2011. "Constructing An Environmentally-Extended Multi-Regional Input-Output Table Using The Gtap Database," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 131-152.
    10. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2017. "Household carbon footprints in the Baltic States: A global multi-regional input–output analysis from 1995 to 2011," Applied Energy, Elsevier, vol. 189(C), pages 780-788.
    11. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    12. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    13. Ryoji Hasegawa & Shigemi Kagawa & Makiko Tsukui, 2015. "Carbon footprint analysis through constructing a multi-region input–output table: a case study of Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-20, December.
    14. Sonia I. Seneviratne & Markus G. Donat & Andy J. Pitman & Reto Knutti & Robert L. Wilby, 2016. "Allowable CO2 emissions based on regional and impact-related climate targets," Nature, Nature, vol. 529(7587), pages 477-483, January.
    15. Erik Dietzenbacher & Bart Los & Robert Stehrer & Marcel Timmer & Gaaitzen de Vries, 2013. "The Construction Of World Input-Output Tables In The Wiod Project," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 71-98, March.
    16. 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.
    17. Atkinson, Giles & Hamilton, Kirk & Ruta, Giovanni & Van Der Mensbrugghe, Dominique, 2010. "Trade in'virtual carbon': empirical results and implications for policy," Policy Research Working Paper Series 5194, The World Bank.
    18. Liu, Zhu & Liang, Sai & Geng, Yong & Xue, Bing & Xi, Fengming & Pan, Ying & Zhang, Tianzhu & Fujita, Tsuyoshi, 2012. "Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing," Energy, Elsevier, vol. 37(1), pages 245-254.
    19. Zhu Liu & Steven J. Davis & Kuishuang Feng & Klaus Hubacek & Sai Liang & Anadon, Laura Diaz & Bin Chen & Liu, Jingru & Yan, Jinyue & Dabo Guan, "undated". "Targeted opportunities to address the climate-trade dilemma in China," Working Paper 336456, Harvard University OpenScholar.
    20. 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.
    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. Guo, Shan & Li, Yilin & He, Ping & Chen, Haosong & Meng, Jing, 2021. "Embodied energy use of China's megacities: A comparative study of Beijing and Shanghai," Energy Policy, Elsevier, vol. 155(C).
    2. Zheng, Hongmei & Li, Aimin & Meng, Fanxin & Liu, Gengyuan, 2020. "Energy flows embodied in China's interregional trade: Case study of Hebei Province," Ecological Modelling, Elsevier, vol. 428(C).
    3. Zhang, Mingming & Liu, Jinghui & Liu, Liyun & Zhou, Dequn, 2023. "Inequality in urban household energy consumption for 30 Chinese provinces," Energy Policy, Elsevier, vol. 172(C).
    4. Nawab, Asim & Liu, Gengyuan & Meng, Fanxin & Hao, Yan & Zhang, Yan, 2019. "Urban energy-water nexus: Spatial and inter-sectoral analysis in a multi-scale economy," Ecological Modelling, Elsevier, vol. 403(C), pages 44-56.
    5. Hu, Junmei & Liu, Gengyuan & Meng, Fanxin & Hu, Yuanchao & Casazza, Marco, 2020. "Subnational carbon flow pattern analysis using multi-scale input-output model," Ecological Modelling, Elsevier, vol. 431(C).
    6. Cheng, Shulei & Fan, Wei & Chen, Jiandong & Meng, Fanxin & Liu, Gengyuan & Song, Malin & Yang, Zhifeng, 2020. "The impact of fiscal decentralization on CO2 emissions in China," Energy, Elsevier, vol. 192(C).
    7. Cheng, Shulei & Fan, Wei & Zhang, Jian & Wang, Ning & Meng, Fanxin & Liu, Gengyuan, 2021. "Multi-sectoral determinants of carbon emission inequality in Chinese clustering cities," Energy, Elsevier, vol. 214(C).
    8. Meng, Fanxin & Liu, Gengyuan & Chang, Yuan & Su, Meirong & Hu, Yuanchao & Yang, Zhifeng, 2019. "Quantification of urban water-carbon nexus using disaggregated input-output model: A case study in Beijing (China)," Energy, Elsevier, vol. 171(C), pages 403-418.
    9. Meng, Fanxin & Wang, Dongfang & Meng, Xiaoyan & Li, Hui & Liu, Gengyuan & Yuan, Qiuling & Hu, Yuanchao & Zhang, Yi, 2022. "Mapping urban energy–water–land nexus within a multiscale economy: A case study of four megacities in China," Energy, Elsevier, vol. 239(PB).
    10. Wang, Wei & Jing, Rui & Zhao, Yingru & Zhang, Chuan & Wang, Xiaonan, 2020. "A load-complementarity combined flexible clustering approach for large-scale urban energy-water nexus optimization," Applied Energy, Elsevier, vol. 270(C).
    11. 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.

    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. Nawab, Asim & Liu, Gengyuan & Meng, Fanxin & Hao, Yan & Zhang, Yan, 2019. "Urban energy-water nexus: Spatial and inter-sectoral analysis in a multi-scale economy," Ecological Modelling, Elsevier, vol. 403(C), pages 44-56.
    2. Lin, Jianyi & Hu, Yuanchao & Zhao, Xiaofeng & Shi, Longyu & Kang, Jiefeng, 2017. "Developing a city-centric global multiregional input-output model (CCG-MRIO) to evaluate urban carbon footprints," Energy Policy, Elsevier, vol. 108(C), pages 460-466.
    3. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    4. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    5. Wu, X.D. & Guo, J.L. & Ji, Xi & Chen, G.Q., 2019. "Energy use in world economy from household-consumption-based perspective," Energy Policy, Elsevier, vol. 127(C), pages 287-298.
    6. Zhang, Zengkai & Zhu, Kunfu & Hewings, Geoffrey J.D., 2017. "A multi-regional input–output analysis of the pollution haven hypothesis from the perspective of global production fragmentation," Energy Economics, Elsevier, vol. 64(C), pages 13-23.
    7. Xia, Yan & Fan, Ying & Yang, Cuihong, 2015. "Assessing the impact of foreign content in China’s exports on the carbon outsourcing hypothesis," Applied Energy, Elsevier, vol. 150(C), pages 296-307.
    8. Shao, Ling & Li, Yuan & Feng, Kuishuang & Meng, Jing & Shan, Yuli & Guan, Dabo, 2018. "Carbon emission imbalances and the structural paths of Chinese regions," Applied Energy, Elsevier, vol. 215(C), pages 396-404.
    9. Kucukvar, Murat & Cansev, Bunyamin & Egilmez, Gokhan & Onat, Nuri C. & Samadi, Hamidreza, 2016. "Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries," Applied Energy, Elsevier, vol. 184(C), pages 889-904.
    10. Li, Yilin & Chen, Bin & Li, Chaohui & Li, Zhi & Chen, Guoqian, 2020. "Energy perspective of Sino-US trade imbalance in global supply chains," Energy Economics, Elsevier, vol. 92(C).
    11. Tang, Miaohan & Hong, Jingke & Liu, Guiwen & Shen, Geoffrey Qiping, 2019. "Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach," Energy, Elsevier, vol. 170(C), pages 1191-1201.
    12. Meng, Fanxin & Wang, Dongfang & Meng, Xiaoyan & Li, Hui & Liu, Gengyuan & Yuan, Qiuling & Hu, Yuanchao & Zhang, Yi, 2022. "Mapping urban energy–water–land nexus within a multiscale economy: A case study of four megacities in China," Energy, Elsevier, vol. 239(PB).
    13. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    14. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.
    15. Fang, Delin & Chen, Bin, 2019. "Information-based ecological network analysis for carbon emissions," Applied Energy, Elsevier, vol. 238(C), pages 45-53.
    16. Wu, X.F. & Chen, G.Q., 2018. "Coal use embodied in globalized world economy: From source to sink through supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 978-993.
    17. Chen, B. & Yang, Q. & Zhou, Sili & Li, J.S. & Chen, G.Q., 2017. "Urban economy's carbon flow through external trade: Spatial-temporal evolution for Macao," Energy Policy, Elsevier, vol. 110(C), pages 69-78.
    18. Wang, Saige & Chen, Bin, 2018. "Three-Tier carbon accounting model for cities," Applied Energy, Elsevier, vol. 229(C), pages 163-175.
    19. 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.
    20. Chen, B. & Li, J.S. & Zhou, S.L. & Yang, Q. & Chen, G.Q., 2018. "GHG emissions embodied in Macao's internal energy consumption and external trade: Driving forces via decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4100-4106.

    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:enepol:v:121:y:2018:i:c:p:553-564. 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.elsevier.com/locate/enpol .

    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.