Using Data Envelopment Analysis with Undesirable Factors in Efficiency Evaluation to the Credit Department of Farmers'Associations in Taiwan
| Autor: | Chen-Kuo Wu, 吳振國 |
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| Rok vydání: | 2004 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 92 This study uses the undesirable factors model data envelopment analysis with the undesirable factors model to investigate the 2002 management Efficiency of the credit department of 246 farmers’ associations in Taiwan. To analyze each credit department of farmers’ associations’ management Efficiency level and the most proper directions which need to improve the level of input and output variables. The employees number, total interest paid, non-interest fee and new value will be as the input and loans income, non-loan income and overdue loan ratio will be the output. In the meantime, the logit regression model is used to analyze nonfinaucial determinauts of the management Efficiency of the credit department of farmers’ association and offer the reference suggestions. The resultauts are that the efficicency scores of 21 units 8.54% of sampling size are changed from credit department of farmers’ associations traditional DEA to undesirable factor DEA, which it shows the difference between the two methods. 15 units is become efficient on undesirable factors model while original evaluation is not efficient, and 6 units become inefficiency while its original one is efficient. It is necessary for 189 units to make an improvement levels of input and output. After using the logit regressive analysis, the attitude of General Director loan action of the credit department of farmers’ association. is the only non-financied determinants to affect whether management the Efficiency of the credit department of farmers’ associations is efficiency positive relationship for the positive The main reason for non-Efficiency of the credit department of farmers associations is that the resource-sharing is not proper. Thus, how to deduct the management cost & create the business with high profit will be the first priority. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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