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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52756

Title: A meta-frontier network data envelopment analysis approach for the measurement of technological bias with network production structure
Authors: Ming-Miin Yu
Li-Hsueh Chen
Contributors: 國立臺灣海洋大學:運輸科學系
Keywords: Technological bias
Network data envelopment analysis
Meta-frontier approach
Date: 2019-08
Issue Date: 2019-12-30T08:50:24Z
Publisher: Scisence Journals
Abstract: Abstract: Typically, the meta-frontier network data envelopment analysis model can be used to evaluate the technological gaps in individual stages simultaneously. However, the technological gap in each stage could also have a biased effect, i.e. one which improves the productivity of a subset of input or output factors. Since decision-making units may face different operational technologies, and have two-stage network structures, this study develops a new approach to investigate the favored direction of technology shift. The novelty of this approach is to identify that the technological gaps could affect the overall production function, both with the input technological bias in the first stage and with the output technological bias in the second stage. By comparing the difference between meta-technology and group technology, the favored direction of technology shift for individual decision-making units can be judged. The proposed approach is illustrated using data from 109 Taiwanese tourist hotels in 2015.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52756
Appears in Collections:[運輸科學系] 期刊論文

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