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Research Article

Vol. 1 No. 2 (2025): International Journal of Multidisciplinary Research

Study on Carbon Accounting and Emission Reduction Pathways of the Cement Industry in Liaoning Province

  • Feng Liu
  • ZiHan Zhao
  • JingYa Wang
DOI
https://doi.org/10.65231/ijmr.v1i2.55
Submitted
December 4, 2025
Published
2025-11-30 — Updated on 2025-12-07
Versions

Abstract

The cement industry is a crucial basic raw material sector for national economic development, as well as a key area of energy consumption and carbon dioxide (CO2) emissions. Taking the cement industry in Liaoning Province as the research object, this study systematically conducts research on carbon accounting and emission reduction pathways based on CO2 emission data from fossil fuel combustion and production processes during 2000-2022. The accounting results indicate three key findings: the total industrial emissions present a three-stage characteristic of "fluctuating growth - peak - decline"; the emission structure has shifted from "combustion-dominated" to "balanced dual sources"; the emission reduction effect of combustion emissions is significant, while process emissions have become a bottleneck due to rigid constraints. Based on the accounting results, corresponding emission reduction policies are proposed. The research findings can provide data support and reference for the low-carbon transformation of the regional cement industry.

References

  1. Nunes, L. J. (2023). The rising threat of atmospheric CO2: a review on the causes, impacts, and mitigation strategies. Environments, 10(4), 66.
  2. Chen, C., Xu, R., Tong, D., Qin, X., Cheng, J., Liu, J., Zheng,Bo.,Liu Yan,L., & Zhang, Q. (2022). A striking growth of CO2 emissions from the global cement industry driven by new facilities in emerging countries. Environmental Research Letters, 17(4), 044007.
  3. Tong, D., Zhang, Q., Zheng, Y., Caldeira, K., Shearer, C., Hong, C., Qin,Y., & Davis, S. J. (2019). Committed emissions from existing energy infrastructure jeopardize 1.5 C climate target. Nature, 572(7769), 373-377.
  4. Zheng, W., Yang, W., Guo, L., & Wang, R. (2025). Analysis of Carbon Emission Characteristics and Influencing Factors of Cement Industry in Hebei Province. Buildings, 15(11), 1808.
  5. Lin, B., & Zhang, Z. (2016). Carbon emissions in China’s cement industry: A sector and policy analysis. Renewable and Sustainable Energy Reviews, 58, 1387-1394.
  6. Cheng, D., Reiner, D. M., Yang, F., Cui, C., Meng, J., Shan, Y., Liu,Y.,Tao,S., & Guan, D. (2023). Projecting future carbon emissions from cement production in developing countries. Nature Communications, 14(1), 8213.
  7. Wei, J., & Cen, K. (2019). Empirical assessing cement CO2 emissions based on China's economic and social development during 2001-2030. Science of the Total Environment, 653, 200-211.
  8. Ministry of Ecology and Environment of the People's Republic of China.Guidelines for the Accounting and Reporting of Greenhouse Gas Emissions from Enterprises: Cement Industry[Z].2024-9-13.
  9. IPCC.2006 IPCC Guidelines for National Greenhouse Gas Inventories[R].https://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html.
  10. IPCC.2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories[R].https://www.ipcc-nggip.iges.or.jp/public/2019rf/index.html.
  11. Dan, Y. A. N. G. AN ANALYSIS OF THE IN-DEPTH TRANSLATION STRATEGY OF THE ENGLISH EDITION OF LECTURES ON CHINA’S TRADITIONAL POLITICAL THOUGHTS.
  12. Yang, D. (2023). Translating rén from the etymological perspective: a case study of lectures on traditional China’s political thoughts.
  13. Li, B. (2025, September). AD-STGNN: Adaptive diffusion spatiotemporal GNN for dynamic urban fire vehicle dispatch and emergency response. In Third International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2025) (Vol. 13791, pp. 810-815). SPIE.
  14. Gu, Y., & Kharytonova, V. A. (2025). The Built Environment and Economic Context: Impacts on Enterprise Operations, Mechanisms, and Adaptive Strategies. Journal of Sustainable Built Environment, 2(6).
  15. Gu, Y., & Wang, Y. (2025). The Impact of Artificial Intelligence on Labor Market Income Inequality. International Journal of Advanced Science, 1(2), 8-13.
  16. Yi, X. (2025). Federated Incentive Learning: A Privacy-Preserving Framework for Ad Monetization and Creator Rewards in High-Concurrency Environments. American Journal Of Big Data, 6(3), 60-86.
  17. Yang, Y., Zhang, S., & Mu, Y. (2025). Genomic signatures of tooth simplification and tooth-number expansion in cetaceans. Journal of Vertebrate Biology, 74(25077), 25077-1.
  18. Zhao, J., Zhang, M., Wang, C., Yu, W., Zhu, Y., & Zhu, P. (2025). First-Principles Study of CO, NH3, HCN, CNCl, and Cl2 Gas Adsorption Behaviors of Metal and Cyclic C–Metal B-and N-Site-Doped h-BNs. Electronic Materials Letters, 21(2), 268-288.
  19. Qi, R. (2025). Interpretable Slow-Moving Inventory Forecasting: A Hybrid Neural Network Approach with Interactive Visualization.