Analysis of total factor productivity of power generation enterprises based on data envelopment analysis model

Yan Li; Jia-hong Wei; Xiang-min Kong; Yong Li; Hui-wen Zheng; Liang-hong Zhang; Jin Gao

doi:10.1117/12.2634685

4 May 2022 Analysis of total factor productivity of power generation enterprises based on data envelopment analysis model

Yan Li, Jia-hong Wei, Xiang-min Kong, Yong Li, Hui-wen Zheng, Liang-hong Zhang, Jin Gao

Author Affiliations +

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 1217215 (2022) https://doi.org/10.1117/12.2634685
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

This paper selects the input-output data of 11 large listed power generation enterprises in China during from 2014 to 2019, and calculates the static total factor productivity and its decomposition value based on the BBC model. The results show that only the total factor productivity of C9 enterprises is DEA effective, and the total factor productivity indexes of the other ten power generation enterprises are data envelopment analysis (DEA) invalid. In addition, the decomposition results of total factor productivity show that the pure technical efficiency DEA of C1, C4, C8 and C9 enterprises is effective, and the scale efficiency DEA of C9 enterprises is effective. As the main field of energy production, each enterprise should reasonably adjust the enterprise scale and resource allocation according to its own situation to promote the high-quality development of the enterprise.

Citation Download Citation

Yan Li, Jia-hong Wei, Xiang-min Kong, Yong Li, Hui-wen Zheng, Liang-hong Zhang, and Jin Gao "Analysis of total factor productivity of power generation enterprises based on data envelopment analysis model", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 1217215 (4 May 2022); https://doi.org/10.1117/12.2634685

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