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Organizational Performance Evaluation of Coal-Fired Power Enterprises Using a Hybrid Model

Author

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  • Shunkun Yu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yuqing Song

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

Carbon peaking and carbon neutrality goals have proposed by many countries, including China. Meanwhile, China has also proposed the construction of a new-type electric power system with new energy as the main body, which will have great impacts on coal-fired power generation enterprises. The transformation of coal-fired power enterprises is imperative, and the evaluation of the organizational performance of coal-fired power enterprises is urgent, which can accurately determine the development status and even can find issues related to the transformation of coal-fired power enterprises. In this paper, a hybrid evaluation model is proposed based on the Variational Auto-Encoder algorithm and fuzzy comprehensive evaluation method improved by a vague set to comprehensively evaluate the organizational performance of coal-fired power enterprises. Eight coal-fired power enterprises in North China are selected for empirical analysis. The results show that the YC coal-fired power enterprise has the best organizational performance, while the NK coal-fired power enterprise has the worst organizational performance. Moreover, sensitivity and comparative analyses are carried out to verify the robustness of the evaluation result using the proposed hybrid method in this paper. This paper focuses on the organizational performance evaluation of coal-fired power enterprises, which can provide a reference for the smooth transformation and sustainable development of coal-fired power enterprises in the context of “Dual-Carbon” goals.

Suggested Citation

  • Shunkun Yu & Yuqing Song, 2022. "Organizational Performance Evaluation of Coal-Fired Power Enterprises Using a Hybrid Model," Energies, MDPI, vol. 15(9), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3175-:d:802948
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    References listed on IDEAS

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    1. Chao Liu & Kexin Li & Peng Jiang & Ding Li & Liping Su & Shuting Lu & Anni Li, 2021. "A Hybrid Multiple Criteria Decision-Making Technique to Evaluate Regional Intellectual Capital: Evidence from China," Mathematics, MDPI, vol. 9(14), pages 1-39, July.
    2. Yu-Cheng Wang & Tin-Chih Toly Chen, 2019. "A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example," Mathematics, MDPI, vol. 7(2), pages 1-15, February.
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    Citations

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    Cited by:

    1. Bartosz Radomski & Tomasz Mróz, 2023. "Application of the Hybrid MCDM Method for Energy Modernisation of an Existing Public Building—A Case Study," Energies, MDPI, vol. 16(8), pages 1-18, April.
    2. Yongli Wang & Xiangyi Zhou & Hao Liu & Xichang Chen & Zixin Yan & Dexin Li & Chang Liu & Jiarui Wang, 2023. "Evaluation of the Maturity of Urban Energy Internet Development Based on AHP-Entropy Weight Method and Improved TOPSIS," Energies, MDPI, vol. 16(13), pages 1-18, July.
    3. Yudong Tan & Guosheng Xie & Yunhao Xiao & Yi Luo & Xintao Xie & Ming Wen, 2022. "Comprehensive Benefit Evaluation of Hybrid Pumped-Storage Power Stations Based on Improved Rank Correlation-Entropy Weight Method," Energies, MDPI, vol. 15(22), pages 1-17, November.
    4. Suli Hao & Chongbao Ren & Lu Zhang, 2022. "Research on Performance Evaluation of Coal Enterprises Based on Grounded Theory, Entropy Method and Cloud Model from the Perspective of ESG," Sustainability, MDPI, vol. 14(18), pages 1-54, September.

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