Techn. Hochsch., Diss.--Aachen, 2002. / Literaturverz. S. [235] - 256.

Thèse sc. écon. Neuchâtel. / Bibliogr.

En l’absence de mesure précise et unique de l’efficience pour les joueurs de hockey, la présente étude a pour objectifs d’évaluer l’efficience des joueurs dans la Ligue Nationale de Hockey (LNH) et de montrer comment celle-ci peut affecter la décision de racheter le contrat d’un joueur. Pour ce faire, les statistiques individuelles des joueurs de la LNH pour les saisons 2007-2008 à 2010-2011 sont utilisées. Pour estimer l’efficience, la méthode de l’enveloppement de données (DEA) avec bootstrap est utilisée. Les inputs incluent le salaire et le nombre de minutes de jeu, alors que les outputs incluent la contribution défensive et offensive de chaque joueur. Pour estimer l’association entre l’efficience individuelle et la probabilité d’un rachat de contrat, une régression logistique est utilisée. L’analyse des données montre que parmi 3 159 observations, l’efficience moyenne est de 0,635. L’efficience moyenne est similaire pour toutes les positions et toutes les saisons. Un lien positif et fort est trouvé entre le nombre de points au classement général d’une équipe et l’efficience moyenne des joueurs qui la compose (coefficient de corrélation=0,43, valeur-p<0,01). Les joueurs avec une efficience plus élevée ont une probabilité plus faible de voir leur contrat racheté (rapport des chances=0,01, valeur-p<0,01). La présente étude conclut donc que la plupart des joueurs de hockey dans la LNH ont un degré d’inefficience non négligeable, qu’une efficience plus élevée est associée à une meilleure performance au niveau de l’équipe et que les joueurs efficients ont une probabilité plus faible de voir leur contrat racheté.

Paratransit service operators in Canada are under increasing pressure to improve the operational productivity of their services due to increased demand and tightening financial constraints. To achieve this, Paratransit operators need to know their performance as compared to peer systems and the best practices within the industry. This will enable each operator to identify where and how much improvement should be made in order to be on a par with the industry?s best practices. Little research effort, however, has been devoted to the issue of how to measure and compare paratransit efficiency in a consistent and systematic manner. <br /><br /> This research focuses on evaluating the level of efficiency of individual paratransit systems in Canada with the specific objective of identifying the most efficient service agencies and the sources of their efficiency. By identifying the most efficient systems along with the influencing factors, it is possible that new service policies and management and operational strategies could be developed for improved resource utilization and quality of services. To achieve this objective, this research applies the analysis methodology called Data Envelopment Analysis (DEA) approach which is a mathematical programming based technique for determining the efficiency of individual systems as compared their peers involving multiple performance measures. Annual operating data from Canadian Urban Transit Association for Canadian paratransit systems of year 2001, 2002 and 2003 are used in this analysis. Regression analysis is performed to identify the possible relationship between the efficiency of a paratransit system and some measurable operating, managerial and other factors which could have an impact on the performance of paratransit systems. The regression analysis also allows for the calculation of confidence intervals and bias for the efficiency scores in order to assess their precision.

Chu, Ho. / "December 2009." / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (p. 99-111). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Overview of Mutual Fund Investment --- p.1 / Chapter 1.2 --- Research Motivation --- p.4 / Chapter 1.3 --- List of Contributions --- p.9 / Chapter 1.4 --- Thesis Structure --- p.12 / Chapter 2 --- Literature Review --- p.14 / Chapter 2.1 --- Traditional Measurement Approaches --- p.14 / Chapter 2.1.1 --- Jensen's Alpha --- p.16 / Chapter 2.1.2 --- Treynor Index --- p.19 / Chapter 2.1.3 --- Sharpe Ratio --- p.21 / Chapter 2.1.4 --- Other Measures --- p.23 / Chapter 2.1.4.1 --- M2 Measure --- p.23 / Chapter 2.1.4.2 --- Multifactor Models --- p.25 / Chapter 2.1.4.3 --- Morningstar's RAR --- p.27 / Chapter 2.1.5 --- Shortcomings of Traditional Measures --- p.30 / Chapter 2.2 --- Data Envelopment Analysis --- p.33 / Chapter 2.2.1 --- Brief Introduction --- p.33 / Chapter 2.2.2 --- Research Review on Fund Performance Mea-surement --- p.37 / Chapter 2.2.3 --- Limitations of Basic DEA Models --- p.42 / Chapter 3 --- DEA Methodology and Formulation --- p.47 / Chapter 3.1 --- CCR and BCC Model --- p.48 / Chapter 3.2 --- Problem of Slacks and DEA efficiency --- p.52 / Chapter 3.3 --- Slacks-based Measure --- p.55 / Chapter 3.4 --- Variables with Negative Values --- p.57 / Chapter 3.5 --- Range Directional Measure --- p.59 / Chapter 3.6 --- Modified Slacks-Based Measure --- p.62 / Chapter 4 --- Empirical Study and Discussions --- p.65 / Chapter 4.1 --- Data Source and Tools for Measurement --- p.65 / Chapter 4.2 --- Model Variables Defined --- p.67 / Chapter 4.3 --- Comparison of MSBM Performance Measure to Other Measures --- p.73 / Chapter 4.4 --- Comparison of Hong Kong MPFs with Different Categories --- p.78 / Chapter 5 --- Conclusions and Future Work --- p.90 / Bibliography --- p.99

No description available.

Dissertation submitted for obtain the degree of Doctor of Philosophy, at the University of Warwich

Paratransit service operators in Canada are under increasing pressure to improve the operational productivity of their services due to increased demand and tightening financial constraints. To achieve this, Paratransit operators need to know their performance as compared to peer systems and the best practices within the industry. This will enable each operator to identify where and how much improvement should be made in order to be on a par with the industry?s best practices. Little research effort, however, has been devoted to the issue of how to measure and compare paratransit efficiency in a consistent and systematic manner. <br /><br /> This research focuses on evaluating the level of efficiency of individual paratransit systems in Canada with the specific objective of identifying the most efficient service agencies and the sources of their efficiency. By identifying the most efficient systems along with the influencing factors, it is possible that new service policies and management and operational strategies could be developed for improved resource utilization and quality of services. To achieve this objective, this research applies the analysis methodology called Data Envelopment Analysis (DEA) approach which is a mathematical programming based technique for determining the efficiency of individual systems as compared their peers involving multiple performance measures. Annual operating data from Canadian Urban Transit Association for Canadian paratransit systems of year 2001, 2002 and 2003 are used in this analysis. Regression analysis is performed to identify the possible relationship between the efficiency of a paratransit system and some measurable operating, managerial and other factors which could have an impact on the performance of paratransit systems. The regression analysis also allows for the calculation of confidence intervals and bias for the efficiency scores in order to assess their precision.

In recent years, domestic high education institutions encounter the difficulty of decrease in numbers of enrolling students and increase in number of schools, which is resulted from the trend of less newborn children and more loosing governmental policy by Ministry of Education. In such environments, the private schools encounter high pressure of seeking sufficient enrolling students and more competition among schools. Therefore, management of private schools should focus on increasing efficiency of operating organization so private schools can be developed with more competition in the future. How to operate and allocate available resources and to achieve educational goals become the most important topics for school management. Schools are Non-Profit Organization and this thesis is intended to evaluate the relative efficiency of faculties of colleges or universities with Data Envelopment Analysis¡]DEA¡^, which is popular methods for researches regarding Non-Profit Organization. It includes the CCR model and BCC model and selects 4 input items and 3 output items as evaluation indicators. The thesis employed the DEA model in the case study to evaluate the Overall Efficiency, Pure Technical Efficiency and Scale Efficiency of school faculties and performed slack variable analysis to inefficient faculties to obtain inefficiency reasons and provide further improvements. The case study in this thesis was performed with efficiency evaluation on 19 faculties of certain medical university based on the information of fiscal year of 2008. The results were as below: 1.Overall Efficiency: In the case study, 7 faculties are relatively inefficient, representing 37% of population. This means that over 1/3 of total population is inefficient. 2.Pure Technical Efficiency: In the case study, 3 faculties have no pure technical efficiency, representing 16% of population. The negative result is less than overall efficiency, which implies that the inefficiency may be caused by scale inefficiency. 3.Scale Efficiency: In the case study, 7 faculties have no scale efficiency, representing 37% of population. Such faculties need to adjust their scales to reach the overall efficiency. This thesis also provided the improvement suggestions for inefficient faculties and operation strategies for management.

This dissertation consists of four essays which investigate efficiency analysis, especially when non-discretionary inputs exist. A new approach of the multi-stage Data Envelopment Analysis (DEA) for non-discretionary inputs, statistical inference discussions, and applications are provided. In the first essay, I propose a multi-stage DEA model to address the non-discretionary input issue, and provide a simulation analysis that illustrates the implementation and potential advantages of the new approach relative to the leading existing multi-stage models of non-discretionary inputs, such as Ruggiero's 1998 model and Fried, Lovell, Schmidt, and Yaisawarng's 2002 model. Furthermore, the simulation results also suggest that the constant returns to scale assumption seems to be preferred when observations have similar sizes, but variable returns to scale may be more appropriate when their scales are different. In the second essay, I make comments on Simar and Wilson work of 2007. My simulation evidence shows that traditional statistical inference does not underperform the bootstrap process proposed by Simar and Wilson. Moreover, my results also show that the truncated model recommended by Simar and Wilson does not outperform the tobit model in terms of statistical inference. Therefore, the traditional method, t-test, and the tobit model should continue to be considered applicable tools for a multi-stage DEA model with non-discretionary inputs, despite contrary claims by Simar and Wilson. The third essay raises an example of applying my new approach to data from Texas school districts. The results suggest that a lagged variable (e.g. students' performance in the previous year), a variable which has been used in the literature, may not play an important role in determining efficiency scores. This implies that one may not need access to panel data on individual scores to study school efficiency. My final essay applies a standard DEA model and the Malmquist productivity index to commercial banks in Thailand in order to compare their efficiency and productivity before and after Thailand?s Financial Sector Master Plan (FSMP) that was implemented in 2004.