FORMATIONS |
Fiche détaillée d'un cours
 | PRODUCTIVITY AND EFFICIENCY ANALYSIS | ||
2018-2019 | FrIESEG School of Management
(
IÉSEG
)
| ||
Code Cours : | 1819-IÉSEG-M1S1-IBE-MA-EE54UE | INTERNATIONAL BUSINESS | |
| Niveau | Année de formation | Période | Langue d'enseignement |
|---|---|---|---|
| Master | 1 | S1 | FrEnglish |
| Professeur(s) responsable(s) | JP.BOUSSEMART |
|---|---|
| Intervenant(s) | Jean Philippe BOUSSEMART |
- Ce cours apparaît dans les formations suivantes :
- IÉSEG > IESEG Degree - Programme Grande École > Semester 1 > 2,00 ECTS
- IÉSEG > IESEG Degree - Programme Grande École > Semester 2 > 2,00 ECTS
Pré requis
Basic accounting
Basic microeconomics
Intermediate descriptive statistics
Basic optimization methods
Intermediate skills on Excel and data manipulation
Objectifs du cours
At the end of the course, the student should be able to:
- measure and explain producer performances.
- define and measure efficiency and productivity.
- apply microeconomic analysis to decision methods of businesses or other management units.
- bridge economic theory and management in practice.
- apply benchmarking and performance analysis to real managerial data.
Contenu du cours
Benchmarking methods are introduced. Productive performance can be measured with a variety of econometric and mathematical techniques. We will focus our attention on one family of them called “Data Envelopment Analysis” (DEA) and based on linear programming. Then, we apply benchmarking and performance analysis to real data.
• 1) Production Frontiers and Productive Efficiency
– Efficiency and Productivity: Definitions
– Measures of Productive Efficiency
• 2) Non Parametric Efficiency Measures and the DEA Model
– The productive possibility set: Definition and Assumptions
– DEA and its associated linear programs
– A pedagogical exercise with Excel
3) Efficiency Analysis of Banking Companies
– The Data set and the Variables of the Production Function
– Empirical illustration and computations of efficiency scores with Excel
4) Efficiency Analysis of the American industries over the period 1987-2014
– Material and methods
– Results and analysis
Modalités d'enseignement
Organisation du cours
| Type | Nombre d'heures | Remarques | |
|---|---|---|---|
| Independent work | |||
| E-Learning | 2,00 | ||
| Reference manual 's readings | 4,00 | ||
| Research | 4,00 | ||
| Face to face | |||
| Coaching | 8,00 | ||
| Interactive class | 8,00 | ||
| Independent study | |||
| Estimated personal workload | 8,00 | ||
| Group Project | 16,00 | ||
| Charge de travail globale de l'étudiant | 50,00 | ||
Méthodes pédagogiques
- Coaching
- E-learning
- Interactive class
- Project work
Évaluation
A real world project is developed in groups of two students. A powerpoint document is prepared and presented orally to a committee composed of academic and professional members.
| Type de Contrôle | Durée | Nombre | Pondération |
|---|---|---|---|
| Continuous assessment | |||
| Continuous assessment | 0,00 | 0 | 20,00 |
| Final Exam | |||
| Oral exam | 0,00 | 0 | 40,00 |
| Others | |||
| Group Project | 0,00 | 1 | 40,00 |
| TOTAL | 100,00 | ||
Bibliographie
- An Introduction to Efficiency and Productivity Analysis Tim Coelli, D.S. Prasada Rao and Goerge E. Battese, Kluwer Academic Publishers, Seventh Printing, 2002 -
- The Measurement of Productive Efficiency Harold O. Fried, C.A. Knox Lovell, Shelton S. Schmidt, editors, Oxford University Press, 2008 -
- Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References William W.Cooper, Laurence M. Seiford and Kaoru Tone, Springer, 2005 -
Ressources internet
* Informations non contractuelles et pouvant être soumises à modification
