IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v99y2019i3d10.1007_s11069-018-3526-2.html
   My bibliography  Save this article

Carbon emissions accounting for China’s coal mining sector: invisible sources of climate change

Author

Listed:
  • Bing Wang

    (China University of Mining and Technology (Beijing)
    China University of Mining and Technology (Beijing))

  • Chao-Qun Cui

    (China University of Mining and Technology (Beijing)
    China University of Mining and Technology (Beijing))

  • Yi-Xin Zhao

    (China University of Mining and Technology (Beijing)
    China University of Mining and Technology (Beijing))

  • Bo Yang

    (China University of Mining and Technology (Beijing)
    China University of Mining and Technology (Beijing))

  • Qing-Zhou Yang

    (China University of Mining and Technology (Beijing))

Abstract

Coal is the primary source of China’s carbon emissions due to the energy structure and its resource endowment. This reality creates enormous pressure and impetus for low-carbon pathways of coal production and consumption. Based on a literature review on carbon emissions accounting methods, this paper builds a source-driven CO2 emissions accounting model for the coal development sector using the emissions factor method. Scenario analysis is employed to predict future carbon emission equivalents and to indicate possible implications for climate change mitigation in this sector. Carbon emissions from coal development are mainly derived from coal mine gas emissions, which yield 62% of the sector’s total carbon emissions, followed by energy consumption. The recent decline in coal mining-driven CO2 emissions is mainly due to the strict deployment of coal mine gas and the changing structure of coal mines. The results from the scenarios suggest that the carbon emissions reduction potential will largely be determined by technology innovation in the coal mine gas industry. Policy implications for further addressing carbon emissions from the supply side of the coal industry include improvements in energy efficiency and coal mine gas extraction and utilization.

Suggested Citation

  • Bing Wang & Chao-Qun Cui & Yi-Xin Zhao & Bo Yang & Qing-Zhou Yang, 2019. "Carbon emissions accounting for China’s coal mining sector: invisible sources of climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1345-1364, December.
    • Handle: RePEc:spr:nathaz:v:99:y:2019:i:3:d:10.1007_s11069-018-3526-2
    DOI: 10.1007/s11069-018-3526-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-018-3526-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-018-3526-2?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. Meng, Ming & Niu, Dongxiao, 2011. "Modeling CO2 emissions from fossil fuel combustion using the logistic equation," Energy, Elsevier, vol. 36(5), pages 3355-3359.
    2. Minda Ma & Ran Yan & Weiguang Cai, 2017. "An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 741-756, November.
    3. Sun, Chuanwang & Ding, Dan & Yang, Mian, 2017. "Estimating the complete CO2 emissions and the carbon intensity in India: From the carbon transfer perspective," Energy Policy, Elsevier, vol. 109(C), pages 418-427.
    4. Hong-Mei Deng & Qiao-Mei Liang, 2017. "Assessing the synergistic reduction effects of different energy environmental taxes: the case of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 811-827, January.
    5. Chen, Wenying & Wu, Zongxin & He, Jiankun & Gao, Pengfei & Xu, Shaofeng, 2007. "Carbon emission control strategies for China: A comparative study with partial and general equilibrium versions of the China MARKAL model," Energy, Elsevier, vol. 32(1), pages 59-72.
    6. Ning Wang & Zongguo Wen & Tao Zhu, 2015. "An estimation of regional emission intensity of coal mine methane based on coefficient‐intensity factor methodology using China as a case study," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 5(4), pages 437-448, August.
    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. Murad S. Alfarzaeai & Eryi Hu & Wang Peng & Niu Qiang & Maged M. A. Alkainaeai, 2023. "Coal Gangue Classification Based on the Feature Extraction of the Volume Visual Perception ExM -SVM," Energies, MDPI, vol. 16(4), pages 1-18, February.
    2. Guoyu Wang & Jinsheng Zhou, 2022. "Multiobjective Optimization of Carbon Emission Reduction Responsibility Allocation in the Open-Pit Mine Production Process against the Background of Peak Carbon Dioxide Emissions," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    3. Ling Du & Hasan Dinçer & İrfan Ersin & Serhat Yüksel, 2020. "IT2 Fuzzy-Based Multidimensional Evaluation of Coal Energy for Sustainable Economic Development," Energies, MDPI, vol. 13(10), pages 1-21, May.

    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. Claudia García-García & Catalina B. García-García & Román Salmerón, 2021. "Confronting collinearity in environmental regression models: evidence from world data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(3), pages 895-926, September.
    2. Ettore Bompard & Daniele Grosso & Tao Huang & Francesco Profumo & Xianzhang Lei & Duo Li, 2018. "World Decarbonization through Global Electricity Interconnections," Energies, MDPI, vol. 11(7), pages 1-29, July.
    3. Delarue, E.D. & Ellerman, A.D. & D'haeseleer, W.D., 2010. "Robust MACCs? The topography of abatement by fuel switching in the European power sector," Energy, Elsevier, vol. 35(3), pages 1465-1475.
    4. Igos, Elorri & Rugani, Benedetto & Rege, Sameer & Benetto, Enrico & Drouet, Laurent & Zachary, Daniel S., 2015. "Combination of equilibrium models and hybrid life cycle-input–output analysis to predict the environmental impacts of energy policy scenarios," Applied Energy, Elsevier, vol. 145(C), pages 234-245.
    5. Anandarajah, Gabrial & Gambhir, Ajay, 2014. "India’s CO2 emission pathways to 2050: What role can renewables play?," Applied Energy, Elsevier, vol. 131(C), pages 79-86.
    6. Xin Su & Frédéric Ghersi & Fei Teng & Gaëlle Le Treut & Meicong Liang, 2022. "The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking," Post-Print hal-03897206, HAL.
    7. Ko, Fu-Kuang & Huang, Chang-Bin & Tseng, Pei-Ying & Lin, Chung-Han & Zheng, Bo-Yan & Chiu, Hsiu-Mei, 2010. "Long-term CO2 emissions reduction target and scenarios of power sector in Taiwan," Energy Policy, Elsevier, vol. 38(1), pages 288-300, January.
    8. Mondal, Md. Alam Hossain & Ringler, Claudia & Al-Riffai, Perrihan & Eldidi, Hagar & Breisinger, Clemens & Wiebelt, Manfred, 2019. "Long-term optimization of Egypt’s power sector: Policy implications," Energy, Elsevier, vol. 166(C), pages 1063-1073.
    9. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    10. Chai, Qimin & Zhang, Xiliang, 2010. "Technologies and policies for the transition to a sustainable energy system in china," Energy, Elsevier, vol. 35(10), pages 3995-4002.
    11. Usman, Ahmed & Ozturk, Ilhan & Ullah, Sana & Hassan, Ali, 2021. "Does ICT have symmetric or asymmetric effects on CO2 emissions? Evidence from selected Asian economies," Technology in Society, Elsevier, vol. 67(C).
    12. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, I," Energy, Elsevier, vol. 36(1), pages 685-693.
    13. Ahn, Young-Hwan & Jeon, Wooyoung, 2019. "Power sector reform and CO2 abatement costs in Korea," Energy Policy, Elsevier, vol. 131(C), pages 202-214.
    14. Hong Chang & Wei Sun & Xingsheng Gu, 2013. "Forecasting Energy CO 2 Emissions Using a Quantum Harmony Search Algorithm-Based DMSFE Combination Model," Energies, MDPI, vol. 6(3), pages 1-22, March.
    15. Huo, Tengfei & Ma, Yuling & Xu, Linbo & Feng, Wei & Cai, Weiguang, 2022. "Carbon emissions in China's urban residential building sector through 2060: A dynamic scenario simulation," Energy, Elsevier, vol. 254(PA).
    16. Li, Nan & Ma, Ding & Chen, Wenying, 2017. "Quantifying the impacts of decarbonisation in China’s cement sector: A perspective from an integrated assessment approach," Applied Energy, Elsevier, vol. 185(P2), pages 1840-1848.
    17. Li, Danyang & Chen, Wenying, 2019. "TIMES modeling of the large-scale popularization of electric vehicles under the worldwide prohibition of liquid vehicle sales," Applied Energy, Elsevier, vol. 254(C).
    18. Md. Afzal Hossain & Jean Engo & Songsheng Chen, 2021. "The main factors behind Cameroon’s CO2 emissions before, during and after the economic crisis of the 1980s," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4500-4520, March.
    19. Steve Pye & Christophe McGlade & Chris Bataille & Gabrial Anandarajah & Amandine Denis-Ryan & Vladimir Potashnikov, 2016. "Exploring national decarbonization pathways and global energy trade flows: a multi-scale analysis," Climate Policy, Taylor & Francis Journals, vol. 16(sup1), pages 92-109, June.
    20. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.

    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:spr:nathaz:v:99:y:2019:i:3:d:10.1007_s11069-018-3526-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.