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Efficiency Analysis of Zinc Refining Companies

Author

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  • Ha Sung Park

    (School of Business, Hanyang University, Seoul 04763, Korea)

  • Tae Youn Kim

    (School of Business, Hanyang University, Seoul 04763, Korea)

  • Daecheol Kim

    (School of Business, Hanyang University, Seoul 04763, Korea)

Abstract

Most global zinc firms consist of multiple refineries with various production capacities. However, it is known that efficiency and Bonus Zn are mostly dependent on a firm’s production capacity. Thus, it is important to examine whether there is knowledge transfer of efficiencies and Bonus Zn among refineries within the same company, even if their production capacities are quite different. The Data Envelopment Analysis (DEA) is used to measure efficiency scores of forty-two zinc refineries. To examine whether there is a knowledge transfer about efficiency and Bonus Zn within a firm, a propensity score model is newly applied. Additionally, a regression model is utilized to identify whether this propagation is more effective if refineries are in the same country. It is found that about 86% of the refineries are inefficient, which indicates that there is much room for refineries to improve their performance. From the result, it is identified that the knowledge of efficiency and Bonus Zn is transferred within the company. This transfer is particularly influential when both refineries are located in the same country. We also find that firm’s revenue can be maximized when efficiency is high and the production capacity and/or Bonus Zn are significant.

Suggested Citation

  • Ha Sung Park & Tae Youn Kim & Daecheol Kim, 2019. "Efficiency Analysis of Zinc Refining Companies," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6528-:d:288698
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Shao, Liuguo & He, Yingying & Feng, Chao & Zhang, Shijing, 2016. "An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China's nonferrous metal industry," Resources Policy, Elsevier, vol. 50(C), pages 264-269.
    3. Takii, Sadayuki, 2005. "Productivity spillovers and characteristics of foreign multinational plants in Indonesian manufacturing 1990-1995," Journal of Development Economics, Elsevier, vol. 76(2), pages 521-542, April.
    4. Puig-Junoy, Jaume, 2000. "Partitioning input cost efficiency into its allocative and technical components: an empirical DEA application to hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 34(3), pages 199-218, September.
    5. Agnieszka Kowalska-Styczeń & Krzysztof Malarz & Kamil Paradowski, 2018. "Model of Knowledge Transfer Within an Organisation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-3.
    6. Roma Mitra Debnath & V.J. Sebastian, 2014. "Efficiency in the Indian iron and steel industry – an application of data envelopment analysis," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 11(1), pages 4-19, April.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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    Cited by:

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    2. JinHyo Joseph Yun & Xiaofei Zhao & KwangHo Jung & Tan Yigitcanlar, 2020. "The Culture for Open Innovation Dynamics," Sustainability, MDPI, vol. 12(12), pages 1-21, June.

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