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Measurement of Congestion in the Simultaneous Presence of Desirable and Undesirable Outputs

Author

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  • H. Zare-Haghighi
  • M. Rostamy-Malkhalifeh
  • G. R. Jahanshahloo

Abstract

The concept of congestion, which is mainly applied in economics, refers to a situation where inputs are overinvested. Many studies have focused on congestion measurement by means of data envelopment analysis (DEA). However, most of the previous investigations only considered the framework of desirable outputs. In fact, firms in the real world unavoidably generate undesirable outputs (such as pollutants or wastes) along with desirable outputs. Therefore, a new scheme is required for measuring congestion in the simultaneous presence of both desirable and undesirable outputs. This paper develops a nonradial efficiency measure for including undesirable outputs into the environmental performance. Based on the proposed model, a new definition and a new approach are presented to deal with congestion in the simultaneous presence of desirable and undesirable outputs. Then, this paper uses the presented method to study the pollutants (waste gas emission and waste discharge) of 31 administrative regions of China. The finding indicates that 7 industries pay attention to the reduction of their pollutants accompanying improvement of their commercial targets. Consequently, they do not show congestion in any input.

Suggested Citation

  • H. Zare-Haghighi & M. Rostamy-Malkhalifeh & G. R. Jahanshahloo, 2014. "Measurement of Congestion in the Simultaneous Presence of Desirable and Undesirable Outputs," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, April.
  • Handle: RePEc:hin:jnljam:512157
    DOI: 10.1155/2014/512157
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    Cited by:

    1. Xian-tong Ren & Guo-liang Yang, 2024. "Eliminating congestion in China’s papermaking and paper products industry: From both the perspective of increasing and decreasing inputs," Journal of Productivity Analysis, Springer, vol. 61(1), pages 63-82, February.
    2. Lucas Assunção & Andréa Cynthia Santos & Thiago F. Noronha & Rafael Andrade, 2021. "Improving logic-based Benders' algorithms for solving min-max regret problems," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(2), pages 23-57.

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