Cross-ine ciency with the Variable Returns to Scale in DEA

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ASADI B.; NASSERI S.H.; HOSSEINZADEH LOTFI F.

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Journal Paper

Paper Information

Journal: International Journal of Industrial Mathematics Year:2020 | Volume:12 | Issue:4 Page(s): 345-355

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Title

Cross-ine ciency with the Variable Returns to Scale in DEA

Author(s)

ASADI B. | NASSERI S.H. | HOSSEINZADEH LOTFI F. | Issue Writer Certificate

Keywords

Data Envelopment Analysis

Negative cross-e

ciency

Variable returns to scale

Crossine

ciency

VRS production possibility set

Abstract

The cross-e ciency ranking method is a well-known method in DEA which is frequently used under the constant returns to scale assumption; while various applications exist based on the Variable returns to scale (VRS). This is due to the presence of negative input-oriented VRS cross-e ciencies. In this paper, each cross-e ciency is replaced by an equivalent distance measure as ine ciency measure. Then, the cross-ine ciency method is developed under the VRS assumption.

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APA: Copy

ASADI, B., NASSERI, S.H., & HOSSEINZADEH LOTFI, F.. (2020). Cross-ine ciency with the Variable Returns to Scale in DEA. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 12(4), 345-355. SID. https://sid.ir/paper/968789/en

Vancouver: Copy

ASADI B., NASSERI S.H., HOSSEINZADEH LOTFI F.. Cross-ine ciency with the Variable Returns to Scale in DEA. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2020;12(4):345-355. Available from: https://sid.ir/paper/968789/en

IEEE: Copy

B. ASADI, S.H. NASSERI, and F. HOSSEINZADEH LOTFI, “Cross-ine ciency with the Variable Returns to Scale in DEA,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 12, no. 4, pp. 345–355, 2020, [Online]. Available: https://sid.ir/paper/968789/en

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