A.A. di erogazione 2020/2021
Insegnamento a scelta tra

 (A.A. 2020/2021)


L'insegnamento è condiviso, tecnicamente "mutuato" con altri corsi di laurea, consultare il dettaglio nella sezione Mutuazioni
Anno di corso: 
Secondo Semestre
Ore di attivita' frontale: 

PART I: The course aims to introduce some notions which are milestones in the modern theory of decisions

PART II: ‘Innovation Economics’ will introduce master students into the broad field of modern innovation economics. Innovation economics has gained momentum since the 1990s as an autonomous field in economics qualified by the increasing importance of knowledge and innovation for the competitiveness of firms, regions and economies as well as by the peculiarities of innovations which makes innovation processes difficult to be analyzed in the context of standard industrial economics. It turned out that modern innovation economics has become a field of interdisciplinary research combining besides economists, among others technological historians, economic sociologist, engineers and complexity researchers. In this course students will be made acquainted to the most important concepts, schools, problems and methodologies in the analysis of innovation processes.

PART I: Basic notions in Mathematics for Economists are prerequisites.


PART I: The following topics will be treated during the course:
1. Orders and Preferences;
2. Axioms on preferences;
3. Utility functions and preferences: Debreu's representation Theorem;
4. Partial orders and multiobjective optimization

PART II: Introduction
1. Why studying innovation economics?
2. A brief overview on modern innovation economics
3. Economic growth and innovation in economics
II. The basic concepts and approaches in innovation economics
4. The basic concepts
4.3. Forms of Innovation
4.4. The object of innovation activities
4.5. The subject of innovation activities
5. The different approaches in innovation economics
5.1. The allocation-theoretic perspective of neoclassical innovation economics
5.2. The neo-Schumpeterian (or evolutionary) approach to innovation economics
III. Modeling innovation processes
6. Technological Spillovers and Innovation Networks
7. Long term economic development and major transformations of socio-economic systems

PART I: Lectures in presence

PART II: Lectures in class (20 hrs)

PART I: The evaluation takes place entirely with a final exam

PART II: Written or oral exam, depending on the number of students

PART I: Will be communicated during the course.

PART II: Nelson, R.R., Dosi, G., Helfat, C., Pyka, A., Saviotti, P.P., Lee, K., Dopfer, K., Malerba, F. and Winter, S. (2018), Modern Evolutionary Economics – An Overview, Cambridge University Press, Cambridge, UK, forthcoming.