IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v275y2020ics0306261920308989.html
   My bibliography  Save this article

Average propagation length analysis for carbon emissions in China

Author

Listed:
  • Fang, Delin
  • Duan, Cuncun
  • Chen, Bin

Abstract

It is crucial to investigate the roles and positions of various nodes along the whole production chain regarding carbon emission mitigation for rational and equitable decarbonization policies. This study probes into the coupling mechanism between carbon emissions and added values among different sectors of 30 regions in China with average propagation length analysis. Average propagation length index is employed to evaluate the connection length of trade linkages between regions and sectors within input–output framework in the production chain. The results reflect the unbalance of industrial chain's value distributions and the carbon emission distributions as well. From regional perspective, the developed regions like Beijing and Shanghai outsource the carbon emissions embodied in primary products via the production chain, while such carbon-intensive products generating in surround regions achieve lower portion of added value gains. Along the whole production chains, most of the added value benefits are obtained from the trade, finance, and real estate sectors in developed regions, which hardly generate carbon emissions. From sectoral view, the sectors like construction and real estate industry have specific roles in context of the whole production chains, whose upper production streams are complex and correlated with carbon-intensive sectors like metal, nonmetal, and equipment production. It can be concluded that the combination of the size of the linkages and the distance between sectors may visualize the added value and emission structure between each sector and region along the production chains.

Suggested Citation

  • Fang, Delin & Duan, Cuncun & Chen, Bin, 2020. "Average propagation length analysis for carbon emissions in China," Applied Energy, Elsevier, vol. 275(C).
  • Handle: RePEc:eee:appene:v:275:y:2020:i:c:s0306261920308989
    DOI: 10.1016/j.apenergy.2020.115386
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920308989
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2020.115386?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. Fang, Delin & Chen, Bin, 2019. "Information-based ecological network analysis for carbon emissions," Applied Energy, Elsevier, vol. 238(C), pages 45-53.
    2. 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.
    3. 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.
    4. De Backer, Koen & Miroudot, Sébastien, 2014. "Mapping global value chains," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37176, May.
    5. Kuishuang Feng & Yim Ling Siu & Dabo Guan & Klaus Hubacek, 2012. "Analyzing Drivers of Regional Carbon Dioxide Emissions for China," Journal of Industrial Ecology, Yale University, vol. 16(4), pages 600-611, August.
    6. 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.
    7. Diakantoni, Antonia & Escaith, Hubert, 2012. "Reassessing effective protection rates in a trade in tasks perspective: Evolution of trade policy in "Factory Asia"," MPRA Paper 41723, University Library of Munich, Germany.
    8. Zhan-Ming Chen & Stephanie Ohshita & Manfred Lenzen & Thomas Wiedmann & Magnus Jiborn & Bin Chen & Leo Lester & Dabo Guan & Jing Meng & Shiyun Xu & Guoqian Chen & Xinye Zheng & JinJun Xue & Ahmed Alsa, 2018. "Consumption-based greenhouse gas emissions accounting with capital stock change highlights dynamics of fast-developing countries," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    9. Klaus Hubacek & Giovanni Baiocchi & Kuishuang Feng & Anand Patwardhan, 2017. "Poverty eradication in a carbon constrained world," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    10. 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.
    11. Erik Dietzenbacher & Isidoro Romero, 2007. "Production Chains in an Interregional Framework: Identification by Means of Average Propagation Lengths," International Regional Science Review, , vol. 30(4), pages 362-383, October.
    12. Erik Dietzenbacher & Umed Temurshoev, 2008. "Ownership relations in the presence of cross-shareholding," Journal of Economics, Springer, vol. 95(3), pages 189-212, December.
    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. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Qiu, Ziyang & Yuan, Yuxing & He, Jianfei & Li, Yingnan & Wang, Yisong & Du, Tao, 2021. "A comprehensive assessment on material, exergy and emission networks for the integrated iron and steel industry," Energy, Elsevier, vol. 235(C).
    2. Chun Fu & Can Zhou, 2023. "Examining the Impact of Real Estate Development on Carbon Emissions Using Differential Generalized Method of Moments and Dynamic Panel Threshold Model," Sustainability, MDPI, vol. 15(8), pages 1-16, April.

    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. Meng, Jing & Zhang, Zengkai & Mi, Zhifu & Anadon, Laura Diaz & Zheng, Heran & Zhang, Bo & Shan, Yuli & Guan, Dabo, 2018. "The role of intermediate trade in the change of carbon flows within China," Energy Economics, Elsevier, vol. 76(C), pages 303-312.
    2. Escaith, Hubert, 2014. "Exploring the policy dimensions of trade in value-added," MPRA Paper 59891, University Library of Munich, Germany, revised 08 Nov 2014.
    3. Gilang Hardadi & Alexander Buchholz & Stefan Pauliuk, 2021. "Implications of the distribution of German household environmental footprints across income groups for integrating environmental and social policy design," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 95-113, February.
    4. Huang, Rui & Lv, Guonian, 2021. "The climate economic effect of technology spillover," Energy Policy, Elsevier, vol. 159(C).
    5. Ying Long & Jiahao Feng & Aolong Sun & Rui Wang & Yafei Wang, 2023. "Structural Characteristics of the Household Carbon Footprint in an Aging Society," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    6. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    7. Liang, Longwu & Chen, Mingxing & Zhang, Xiaoping & Sun, Mingxing, 2024. "Understanding changes in household carbon footprint during rapid urbanization in China," Energy Policy, Elsevier, vol. 185(C).
    8. 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).
    9. Ji, Xi & Liu, Yifang & Wu, Guowei & Su, Pinyi & Ye, Zhen & Feng, Kuishuang, 2022. "Global value chain participation and trade-induced energy inequality," Energy Economics, Elsevier, vol. 112(C).
    10. 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.
    11. Escaith, Hubert & Gaudin, Hadrien, 2014. "Clustering value-added trade: Structural and policy dimensions," WTO Staff Working Papers ERSD-2014-08, World Trade Organization (WTO), Economic Research and Statistics Division.
    12. Zhao, Mengxue & Yuan, Zhihang & Chan, Hon S., 2023. "Housing wealth and household carbon emissions: The role of homeownership in China," Ecological Economics, Elsevier, vol. 212(C).
    13. Zhang, Bo & Qu, Xue & Meng, Jing & Sun, Xudong, 2017. "Identifying primary energy requirements in structural path analysis: A case study of China 2012," Applied Energy, Elsevier, vol. 191(C), pages 425-435.
    14. Su-Mei Chen & Jia-Jia Ou & Ling-Yun He, 2021. "The Environmental and Health Impacts of Poverty Alleviation in China: From a Consumption-Based Perspective," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    15. Xin Li & Xiaoqiong He & Xiyu Luo & Xiandan Cui & Minxi Wang, 2020. "Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 907-924, October.
    16. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    17. Céline Guivarch & Nicolas Taconet, 2020. "Inégalités mondiales et changement climatique," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(1), pages 35-70.
    18. Guo, Xuepeng & Pang, Jun, 2023. "Analysis of provincial CO2 emission peaking in China: Insights from production and consumption," Applied Energy, Elsevier, vol. 331(C).
    19. 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.
    20. Li, Xiaoyu & Zeng, Zhao & Zhang, Zengkai & Yao, Ye & Du, Huibin, 2023. "The rising North-South carbon flows within China from 2012 to 2017," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 263-272.

    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:appene:v:275:y:2020:i:c:s0306261920308989. 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/wps/find/journaldescription.cws_home/405891/description#description .

    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.