| dc.creator (作者) | 吳安妮 | zh_TW |
| dc.creator (作者) | Wu, Anne | - |
| dc.creator (作者) | 黃政仁 | - |
| dc.creator (作者) | Huang, Cheng-Jen | - |
| dc.creator (作者) | Cheng-Jen Huang | - |
| dc.date (日期) | 2003 | en_US |
| dc.date.accessioned | 13-一月-2009 15:31:27 (UTC+8) | - |
| dc.date.available | 13-一月-2009 15:31:27 (UTC+8) | - |
| dc.date.issued (上傳時間) | 13-一月-2009 15:31:27 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/24507 | - |
| dc.description.abstract (摘要) | The purpose of this study is to apply non-parametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA) to examine the efficiency situation of correctional institutions in Taiwan. We extend the consistency conditions proposed by Bauer et al. (1998) to examine the consistency between those two efficiency techniques. This study also examines the drivers of efficiency for correctional institutions. The empirical results indicate that correctional institutions in Taiwan have considerable technical inefficiency, because of unfavorable “resource usage.” The data also shows that DEA and SFA approaches nearly meet the conditions of consistency. We find that due to mission differences between different correctional institutions, they have different impacts on efficiency performance. We also find that quality performance has a positive impact on the efficiency performance of correctional institutions, implying that better correctional quality causes better efficiency. | - |
| dc.format | application/ | en_US |
| dc.language | en | en_US |
| dc.language | en-US | en_US |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | 中華會計學刊,3(2),113-139 | en_US |
| dc.subject (關鍵詞) | Efficiency performance; Data envelopment analysis; Stochastic frontier analysis; Correctional institution | - |
| dc.title (題名) | The Efficiency Performance and the Drivers of Efficiency– The Test of Correctional Institutions | en_US |
| dc.title.alternative (其他題名) | 效率績效及效率動因之研究：以矯正機關為研究對象 | - |
| dc.type (資料類型) | article | en |
