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Financial Performance Study of Chemical Listed Companies Based on SE-SBM Model

Received: 20 April 2017    Accepted:     Published: 20 April 2017
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Abstract

This study is based on the SBM (Slacks-based Measure) model constructed a considered undesirable outputs SBM super efficiency model to analyze the performance of China chemical enterprise. In order to understand the overall efficiency of chemical enterprise, The paper evaluation of the 49 chemical companies in 2011~2015 performance. At the same time, uses DEA-Malmquist index method on the efficiency of 49 chemical companies in 2011~2015 for dynamic analysis. The results show that: based on the analysis of technical efficiency, pure technical efficiency and scale efficiency of chemical enterprises in china, China's chemical industry is in the stage of technological innovation, and the average growth rate of technical efficiency change, technical progress change, pure technical efficiency change, scale efficiency change and total factor productivity of chemical enterprises tends to be stable, reasonable configuration structure can promote the solid development of the chemical industry.

Published in Science Innovation (Volume 5, Issue 3)
DOI 10.11648/j.si.20170503.18
Page(s) 167-174
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Chemical Industry Listed Companies, Performance, Super-Efficiency SBM Model, DEA-Malmquist Index

References
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[2] 吴卫红,王阳阳,张爱美,等.基于DEA—Malmquist指数方法的能源产业技术创新效率实证分析[J].生态经济,2016,32(6):67-76。
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[5] Lin. TY, Chiu. SH. Using independent component analysis and network DEA to improve bank performance evaluation [J]. Economic Modelling, 2013 (3): 608-616.
[6] CHARNES A, Cooper W W. Rhodes E. Measuring the efficiency of decision making units [J]. Euro-pean Journal of Operational Research, 1978 (2): 429-444.
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[8] Malmquist S. Index Numbers and Indifference Curves [J]. Trabajos de Estatistica, 1953, (4): 209-242.
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[14] 郭淑芬.郝言慧.王艳芬.文化产业上市公司绩效评价--基于超效率DEA和Malmquist指数[J].经济问题,2014(2):75-78。
[15] 赵雯蔚.化工企业节能减排投入与产出绩效评价研究[D].南京理工大学硕士学位论文.2014,3。
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  • APA Style

    Ma Rui, Zhang Hao. (2017). Financial Performance Study of Chemical Listed Companies Based on SE-SBM Model. Science Innovation, 5(3), 167-174. https://doi.org/10.11648/j.si.20170503.18

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    ACS Style

    Ma Rui; Zhang Hao. Financial Performance Study of Chemical Listed Companies Based on SE-SBM Model. Sci. Innov. 2017, 5(3), 167-174. doi: 10.11648/j.si.20170503.18

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    AMA Style

    Ma Rui, Zhang Hao. Financial Performance Study of Chemical Listed Companies Based on SE-SBM Model. Sci Innov. 2017;5(3):167-174. doi: 10.11648/j.si.20170503.18

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  • @article{10.11648/j.si.20170503.18,
      author = {Ma Rui and Zhang Hao},
      title = {Financial Performance Study of Chemical Listed Companies Based on SE-SBM Model},
      journal = {Science Innovation},
      volume = {5},
      number = {3},
      pages = {167-174},
      doi = {10.11648/j.si.20170503.18},
      url = {https://doi.org/10.11648/j.si.20170503.18},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20170503.18},
      abstract = {This study is based on the SBM (Slacks-based Measure) model constructed a considered undesirable outputs SBM super efficiency model to analyze the performance of China chemical enterprise. In order to understand the overall efficiency of chemical enterprise, The paper evaluation of the 49 chemical companies in 2011~2015 performance. At the same time, uses DEA-Malmquist index method on the efficiency of 49 chemical companies in 2011~2015 for dynamic analysis. The results show that: based on the analysis of technical efficiency, pure technical efficiency and scale efficiency of chemical enterprises in china, China's chemical industry is in the stage of technological innovation, and the average growth rate of technical efficiency change, technical progress change, pure technical efficiency change, scale efficiency change and total factor productivity of chemical enterprises tends to be stable, reasonable configuration structure can promote the solid development of the chemical industry.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Financial Performance Study of Chemical Listed Companies Based on SE-SBM Model
    AU  - Ma Rui
    AU  - Zhang Hao
    Y1  - 2017/04/20
    PY  - 2017
    N1  - https://doi.org/10.11648/j.si.20170503.18
    DO  - 10.11648/j.si.20170503.18
    T2  - Science Innovation
    JF  - Science Innovation
    JO  - Science Innovation
    SP  - 167
    EP  - 174
    PB  - Science Publishing Group
    SN  - 2328-787X
    UR  - https://doi.org/10.11648/j.si.20170503.18
    AB  - This study is based on the SBM (Slacks-based Measure) model constructed a considered undesirable outputs SBM super efficiency model to analyze the performance of China chemical enterprise. In order to understand the overall efficiency of chemical enterprise, The paper evaluation of the 49 chemical companies in 2011~2015 performance. At the same time, uses DEA-Malmquist index method on the efficiency of 49 chemical companies in 2011~2015 for dynamic analysis. The results show that: based on the analysis of technical efficiency, pure technical efficiency and scale efficiency of chemical enterprises in china, China's chemical industry is in the stage of technological innovation, and the average growth rate of technical efficiency change, technical progress change, pure technical efficiency change, scale efficiency change and total factor productivity of chemical enterprises tends to be stable, reasonable configuration structure can promote the solid development of the chemical industry.
    VL  - 5
    IS  - 3
    ER  - 

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Author Information
  • School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, China

  • School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, China

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