| Author: | Wu, Yiu-fai |
| Title: | Improving the service efficiency in Hong Kong investor-owned electricity industry by applying data envelopment analysis and regression approaches |
| Degree: | M.Sc. |
| Year: | 2000 |
| Subject: | Electric utilities -- China -- Hong Kong Data envelopment analysis Regression analysis Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies Department of Management |
| Pages: | v, 202 leaves : ill. ; 30 cm |
| Language: | English |
| Abstract: | This dissertation applies data envelopment analysis (DEA) and regression analysis (RA) for evaluating and comparing the efficiency measures of two investor-owned power utilities in Hong Kong. Emphasis is placed on DEA process of screening the list of potential inputs and outputs factors and determining the most relevant ones. DEA results are derived under four different sets of assumptions. The efficiency scores for 4 models are ranged from 0.7 to 1.0 and the averages are over 90 percents. DEA results are also compared with efficiency measures produced by RA. The result shows that a consistent effect cannot be obtained. This dissertation also combines DEA with RA to evaluate the efficiency measures. Efficiency is first estimated using DEA with the choice of inputs and outputs being specific to utility operations. A multiple regression model is then employed in which the efficiency score obtained from the DEA computations is used as the dependent variable, and a number of utility operating characteristics are chosen as the independent variables. The regression results indicate that plant availability, load factor and proportion of distribution to non-domestic customers support the results are negative associated with the efficiency. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b15531223.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 6.16 MB | Adobe PDF | View/Open |
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