IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v207y2020ics0360544220314146.html
   My bibliography  Save this article

Investigating the significant variation of coal consumption in China in 2002-2017

Author

Listed:
  • Liu, Lan-Cui
  • Cheng, Lei
  • Zhao, Lu-Tao
  • Cao, Ying
  • Wang, Ce

Abstract

From 2002 to 2017, China’s coal consumption underwent a significant change, from a rapid growth to slow decline. Aimed to provide some suggestions for the further coal removal, this study focuses on this significant change and analyzes the coal consumption in supply chains using structural path analysis and structural path decomposition models. Coal consumption driven by fixed capital formation constituted almost 50% or more of coal consumption for the critical 59 paths. Except for coal intensity, production structure was another main mitigating factor of this growth from 2007. The decline in coal consumption caused by coal intensity (2002–2012) and production structure (2007–2012) could only partially offset the increased consumption caused by other factors; thus, coal consumption had the most rapid growth in 2002–2012. In 2012–2017, the decline caused by the coal intensity, production structure, and commodity structure fully offset the increase mainly due to final demand per capita; therefore, there was a historical decrease in coal consumption, breaking the continuous growth trend since 1980. Coal intensity reduction and production structure adjustment should be the key target for short-term control of coal consumption. Meanwhile, the structures should be adjusted toward items that have lower coal consumption in the long-term.

Suggested Citation

  • Liu, Lan-Cui & Cheng, Lei & Zhao, Lu-Tao & Cao, Ying & Wang, Ce, 2020. "Investigating the significant variation of coal consumption in China in 2002-2017," Energy, Elsevier, vol. 207(C).
  • Handle: RePEc:eee:energy:v:207:y:2020:i:c:s0360544220314146
    DOI: 10.1016/j.energy.2020.118307
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220314146
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2020.118307?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. Bhattacharya, Mita & Rafiq, Shuddhasattwa & Bhattacharya, Sankar, 2015. "The role of technology on the dynamics of coal consumption–economic growth: New evidence from China," Applied Energy, Elsevier, vol. 154(C), pages 686-695.
    2. Chong, ChinHao & Ma, Linwei & Li, Zheng & Ni, Weidou & Song, Shizhong, 2015. "Logarithmic mean Divisia index (LMDI) decomposition of coal consumption in China based on the energy allocation diagram of coal flows," Energy, Elsevier, vol. 85(C), pages 366-378.
    3. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    4. Zhao, Stephen & Alexandroff, Alan, 2019. "Current and future struggles to eliminate coal," Energy Policy, Elsevier, vol. 129(C), pages 511-520.
    5. Nagashima, Fumiya, 2018. "Critical structural paths of residential PM2.5 emissions within the Chinese provinces," Energy Economics, Elsevier, vol. 70(C), pages 465-471.
    6. Gui, Shusen & Mu, Hailin & Li, Nan, 2014. "Analysis of impact factors on China's CO2 emissions from the view of supply chain paths," Energy, Elsevier, vol. 74(C), pages 405-416.
    7. Lenzen, Manfred, 2007. "Structural path analysis of ecosystem networks," Ecological Modelling, Elsevier, vol. 200(3), pages 334-342.
    8. Llop, Maria & Ponce-Alifonso, Xavier, 2015. "Identifying the role of final consumption in structural path analysis: An application to water uses," Ecological Economics, Elsevier, vol. 109(C), pages 203-210.
    9. Wolde-Rufael, Yemane, 2010. "Coal consumption and economic growth revisited," Applied Energy, Elsevier, vol. 87(1), pages 160-167, January.
    10. Ou, Jiamin & Meng, Jing & Zheng, Junyu & Mi, Zhifu & Bian, Yahui & Yu, Xiang & Liu, Jingru & Guan, Dabo, 2017. "Demand-driven air pollutant emissions for a fast-developing region in China," Applied Energy, Elsevier, vol. 204(C), pages 131-142.
    11. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    12. Oshita, Yuko, 2012. "Identifying critical supply chain paths that drive changes in CO2 emissions," Energy Economics, Elsevier, vol. 34(4), pages 1041-1050.
    13. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    14. Hong, Jingke & Shen, Qiping & Xue, Fan, 2016. "A multi-regional structural path analysis of the energy supply chain in China's construction industry," Energy Policy, Elsevier, vol. 92(C), pages 56-68.
    15. Anne Owen & Richard Wood & John Barrett & Andrew Evans, 2016. "Explaining value chain differences in MRIO databases through structural path decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 243-272, June.
    16. 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.
    17. Wood, Richard & Lenzen, Manfred, 2009. "Structural path decomposition," Energy Economics, Elsevier, vol. 31(3), pages 335-341, May.
    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. Nicholas Ngepah & Charles Raoul Tchuinkam Djemo & Charles Shaaba Saba, 2022. "Forecasting the Economic Growth Impacts of Climate Change in South Africa in the 2030 and 2050 Horizons," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    2. Anggi Putri Kurniadi & Hasdi Aimon & Zamroni Salim & Ragimun Ragimun & Adang Sonjaya & Sigit Setiawan & Viktor Siagian & Lokot Zein Nasution & R Nurhidajat & Mutaqin Mutaqin & Joko Sabtohadi, 2024. "Analysis of Existing and Forecasting for Coal and Solar Energy Consumption on Climate Change in Asia Pacific: New Evidence for Sustainable Development Goals," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 352-359, July.
    3. Zhao, Qian & Ding, Longfei & Pirtea, Marilen Gabriel & Vǎtavu, Sorana, 2023. "Does technological innovation bring better air quality?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 978-990.
    4. Lin, Boqiang & Teng, Yuqiang, 2022. "Structural path and decomposition analysis of sectoral carbon emission changes in China," Energy, Elsevier, vol. 261(PB).
    5. Wang, Zhen & Yan, Haoben & Gao, Xue & Liang, Qiaomei & Mi, Zhifu & Liu, Lancui, 2024. "Have consumption-based CO2 emissions in developed countries peaked?," Energy Policy, Elsevier, vol. 184(C).
    6. Yang, Gang & Song, Dazhao & Wang, Man & Qiu, Liming & He, Xueqiu & Khan, Majid & Qian, Sun, 2024. "New insights into dynamic disaster monitoring through asynchronous deformation induced coal-gas outburst mechanism of tectonic and raw coal seams," Energy, Elsevier, vol. 295(C).
    7. Jiang, Wei & Sun, Yifei, 2023. "Which is the more important factor of carbon emission, coal consumption or industrial structure?," Energy Policy, Elsevier, vol. 176(C).
    8. Lin, Boqiang & Teng, Yuqiang, 2023. "The effect of industrial synergy and division on energy intensity: From the perspective of industrial chain," Energy, Elsevier, vol. 283(C).
    9. Liu, Jixiang & Tian, Shu & Wang, Qingsong & Xu, Yue & Zhang, Yujie & Yuan, Xueliang & Ma, Qiao & Ma, Haichao & Liu, Chengqing, 2023. "The regulation path of coal consumption based on the total reduction index—a case study in Shandong Province, China," Energy, Elsevier, vol. 262(PB).

    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. Anne Owen & Richard Wood & John Barrett & Andrew Evans, 2016. "Explaining value chain differences in MRIO databases through structural path decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 243-272, June.
    2. Wei Yang & Junnian Song, 2019. "Depicting Flows of Embodied Water Pollutant Discharge within Production System: Case of an Undeveloped Region," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    3. Teng, Yuqiang & Lin, Boqiang, 2024. "The energy-saving effect of industrial chain synergistic division: Evidence from China's industrial chain," Energy Policy, Elsevier, vol. 185(C).
    4. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    5. Jingke, Hong & Chenyu, Wang & Chang-Richards, Alice & Jingxiao, Zhang & Qiping, Geoffrey Shen & Bei, Qiao, 2022. "A spatiotemporal analysis of energy use pathways in the construction industry: A study of China," Energy, Elsevier, vol. 239(PC).
    6. Wang, Saige & Cao, Tao & Chen, Bin, 2021. "Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China," Applied Energy, Elsevier, vol. 299(C).
    7. Guan, Shihui & Han, Mengyao & Wu, Xiaofang & Guan, ChengHe & Zhang, Bo, 2019. "Exploring energy-water-land nexus in national supply chains: China 2012," Energy, Elsevier, vol. 185(C), pages 1225-1234.
    8. Wang, Zhen & Wei, Liyuan & Niu, Beibei & Liu, Yong & Bin, Guoshu, 2017. "Controlling embedded carbon emissions of sectors along the supply chains: A perspective of the power-of-pull approach," Applied Energy, Elsevier, vol. 206(C), pages 1544-1551.
    9. Lin, Boqiang & Teng, Yuqiang, 2023. "The effect of industrial synergy and division on energy intensity: From the perspective of industrial chain," Energy, Elsevier, vol. 283(C).
    10. Shi, Jianglan & Li, Chao & Li, Huajiao, 2022. "Energy consumption in China's ICT sectors: From the embodied energy perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    11. Kayoko Shironitta & Shunsuke Okamoto & Shigemi Kagawa, 2019. "Cross-country analysis of relationship between material input structures and consumption-based CO2 emissions," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 533-554, October.
    12. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    13. Lin, Boqiang & Teng, Yuqiang, 2022. "Structural path and decomposition analysis of sectoral carbon emission changes in China," Energy, Elsevier, vol. 261(PB).
    14. Li, Yingzhu & Su, Bin & Dasgupta, Shyamasree, 2018. "Structural path analysis of India's carbon emissions using input-output and social accounting matrix frameworks," Energy Economics, Elsevier, vol. 76(C), pages 457-469.
    15. Butnar, Isabela & Llop, Maria, 2011. "Structural decomposition analysis and input-output subsystems: Changes in CO2 emissions of Spanish service sectors (2000-2005)," Ecological Economics, Elsevier, vol. 70(11), pages 2012-2019, September.
    16. Gui, Shusen & Mu, Hailin & Li, Nan, 2014. "Analysis of impact factors on China's CO2 emissions from the view of supply chain paths," Energy, Elsevier, vol. 74(C), pages 405-416.
    17. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    18. 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.
    19. Zhang, Pengpeng & Zhang, Lixiao & Tian, Xin & Hao, Yan & Wang, Changbo, 2018. "Urban energy transition in China: Insights from trends, socioeconomic drivers, and environmental impacts of Beijing," Energy Policy, Elsevier, vol. 117(C), pages 173-183.
    20. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2012. "Application of the Structural Decomposition Analysis to assess the indirect energy consumption and air emission changes related to Italian households consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1135-1145.

    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:energy:v:207:y:2020:i:c:s0360544220314146. 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.journals.elsevier.com/energy .

    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.