政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/120411
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    Title: Imposing Monotonicity and Curvature Conditions on Bayesian Stochastic Directional Distance Function to Measure Efficiencies
    考慮單調性與曲度於貝氏隨機方向距離函數以衡量生產效率
    Authors: 黃台心
    林嘉偉
    胡聚男
    Contributors: 金融博五
    Keywords: Bayesian approach;directional distance function;undesirables;monotonicity and curvature;environmental variables;efficiency scores;rate of technical progress
    貝氏方法;方向距離函數;非意欲產出;單調性與曲度;環境變數;效率分數;技術進步率
    Date: 2018
    Issue Date: 2018-10-08 17:31:00 (UTC+8)
    Abstract: 本文以貝氏方法估計隨機方向距離函數, 加入單調性與曲度等限制條件, 並
    連結無效率項與環境變數。為突顯包含非意欲產出的方向距離函數之優點, 本文
    同時估計產出面距離函數, 並與方向距離函數之結果比較。實證分析資料為 1970
    至 2010 年各國總體經濟變數, 分別在有無加入限制條件與環境變數的設定下,
    估計兩種距離函數, 從效率分數與技術進步率等角度, 分析兩種函數的差異。發
    現產出面距離函數因忽略非意欲產出, 傾向高估各國的技術效率與低估技術進
    步率;而同時加入限制條件與環境變數的方向距離函數, 估計結果最為合理。
    Relation: 經濟論文叢刊
    Data Type: article
    Appears in Collections:[Department of International Business] Periodical Articles

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