IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i5p2243-d1605481.html
   My bibliography  Save this article

Construction and Application of Enterprise Electric Carbon Model: A Study Based on Key Enterprises in Qinghai Province

Author

Listed:
  • Zengwei Li

    (Information and Communication Company of State Grid Qinghai Electric Power, Xining 816099, China)

  • Qifang Pan

    (School of Statistics, Beijing Normal University, Beijing 100875, China)

  • Junyi Shi

    (School of Statistics, Beijing Normal University, Beijing 100875, China)

  • Haoyang Ji

    (School of Economics, Peking University, Beijing 100871, China)

Abstract

As the coverage of China’s carbon emissions trading market expands from the power industry to the cement, steel, and electrolytic aluminum industries, the measurement and verification of carbon emissions of Chinese enterprises become increasingly important. This paper draws on the IPCC inventory compilation method and constructs an electric carbon model at the enterprise level in terms of energy consumption and production process; at the same time, it collects microdata from a total of 44 enterprises in three industries, namely, electrolytic aluminum, cement, and ferroalloy, in Qinghai Province. Based on the constructed electric carbon model, high-frequency measurement of enterprise carbon emissions was conducted. In order to verify the validity of the results, this paper examines the results from the perspectives of internal logic and external standards. The examination shows that the carbon model constructed in this paper has advantages such as cost-effectiveness, high measurement frequency, and accuracy, and it is suitable for third-party verification organizations or relevant management departments to use in the wide-scale measurement and verification of carbon emissions of enterprises.

Suggested Citation

  • Zengwei Li & Qifang Pan & Junyi Shi & Haoyang Ji, 2025. "Construction and Application of Enterprise Electric Carbon Model: A Study Based on Key Enterprises in Qinghai Province," Sustainability, MDPI, vol. 17(5), pages 1-13, March.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:2243-:d:1605481
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/5/2243/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/5/2243/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shen, Lei & Gao, Tianming & Zhao, Jianan & Wang, Limao & Wang, Lan & Liu, Litao & Chen, Fengnan & Xue, Jingjing, 2014. "Factory-level measurements on CO2 emission factors of cement production in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 337-349.
    2. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    3. Yuanyuan Wang & Haoyang Ji & Shiqian Wang & Han Wang & Junyi Shi, 2024. "Research on Carbon Emissions Estimation in Key Industries Based on the Electricity–Energy–Carbon Model: A Case Study of Henan Province," Energies, MDPI, vol. 17(12), pages 1-16, June.
    4. Whittaker, Carly & McManus, Marcelle C. & Hammond, Geoffrey P., 2011. "Greenhouse gas reporting for biofuels: A comparison between the RED, RTFO and PAS2050 methodologies," Energy Policy, Elsevier, vol. 39(10), pages 5950-5960, October.
    Full references (including those not matched with items on IDEAS)

    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. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    2. Eising, Jan Willem & van Onna, Tom & Alkemade, Floortje, 2014. "Towards smart grids: Identifying the risks that arise from the integration of energy and transport supply chains," Applied Energy, Elsevier, vol. 123(C), pages 448-455.
    3. Yang, Ranran & Long, Ruyin & Yue, Ting & Shi, Haihong, 2014. "Calculation of embodied energy in Sino-USA trade: 1997–2011," Energy Policy, Elsevier, vol. 72(C), pages 110-119.
    4. Shu-Hong Wang & Ma-Lin Song & Tao Yu, 2019. "Hidden Carbon Emissions, Industrial Clusters, and Structure Optimization in China," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1319-1342, December.
    5. Liang Shen & Qiheng Yuan & Qi He & Peng Jiang & Haoyang Ji & Junyi Shi, 2024. "Simulation and Pathway Selection for China’s Carbon Peak: A Multi-Objective Nonlinear Dynamic Optimization Approach," Sustainability, MDPI, vol. 17(1), pages 1-15, December.
    6. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    7. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    8. Gao, Tianming & Shen, Lei & Shen, Ming & Liu, Litao & Chen, Fengnan & Gao, Li, 2017. "Evolution and projection of CO2 emissions for China's cement industry from 1980 to 2020," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 522-537.
    9. Li, Jin & Wang, Rui & Li, Haoran & Nie, Yaoyu & Song, Xinke & Li, Mingyu & Shi, Mai & Zheng, Xinzhu & Cai, Wenjia & Wang, Can, 2021. "Unit-level cost-benefit analysis for coal power plants retrofitted with biomass co-firing at a national level by combined GIS and life cycle assessment," Applied Energy, Elsevier, vol. 285(C).
    10. Seunghyun Son & Dongjoo Lee & Jinhyuk Oh & Sunkuk Kim, 2021. "Embodied CO 2 Reduction Effects of Free-Form Concrete Panel Production Using Rod-Type Molds with 3D Plastering Technique," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
    11. Qianyu Zhao & Boyu Xie & Mengyao Han, 2023. "Unpacking the Sub-Regional Spatial Network of Land-Use Carbon Emissions: The Case of Sichuan Province in China," Land, MDPI, vol. 12(10), pages 1-22, October.
    12. Guangfang Luo & Jianjun Zhang & Yongheng Rao & Xiaolei Zhu & Yiqiang Guo, 2017. "Coal Supply Chains: A Whole-Process-Based Measurement of Carbon Emissions in a Mining City of China," Energies, MDPI, vol. 10(11), pages 1-18, November.
    13. Wang, Ke & Zhang, Jianjun & Cai, Bofeng & Yu, Shengmin, 2019. "Emission factors of fugitive methane from underground coal mines in China: Estimation and uncertainty," Applied Energy, Elsevier, vol. 250(C), pages 273-282.
    14. Shaikh, Mohammad A. & Kucukvar, Murat & Onat, Nuri Cihat & Kirkil, Gokhan, 2017. "A framework for water and carbon footprint analysis of national electricity production scenarios," Energy, Elsevier, vol. 139(C), pages 406-421.
    15. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    16. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    17. Yang, Qing & Zhang, Lei & Zou, Shaohui & Zhang, Jinsuo, 2020. "Intertemporal optimization of the coal production capacity in China in terms of uncertain demand, economy, environment, and energy security," Energy Policy, Elsevier, vol. 139(C).
    18. Yu Sang Chang & Dosoung Choi & Hann Earl Kim, 2017. "Dynamic Trends of Carbon Intensities among 127 Countries," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
    19. Gong, Chengzhu & Yu, Shiwei & Zhu, Kejun & Hailu, Atakelty, 2016. "Evaluating the influence of increasing block tariffs in residential gas sector using agent-based computational economics," Energy Policy, Elsevier, vol. 92(C), pages 334-347.
    20. Manninen, Kaisa & Koskela, Sirkka & Nuppunen, Anni & Sorvari, Jaana & Nevalainen, Olli & Siitonen, Sari, 2013. "The applicability of the renewable energy directive calculation to assess the sustainability of biogas production," Energy Policy, Elsevier, vol. 56(C), pages 549-557.

    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:gam:jsusta:v:17:y:2025:i:5:p:2243-:d:1605481. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.