Innovation Policies

Code:

2EGIN09

Acronym:

PI

Keywords
Classification	Keyword
OFICIAL	Economics

Instance: 2019/2020 - 2S

Active?	Yes
Responsible unit:	Agrupamento Científico de Economia
Course/CS Responsible:	Master in Economics and Management of Innovation

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
EGIN	34	Bologna Syllabus since 2012	1	-	7,5	56	202,5

Teaching language

Portuguese

Objectives

The purpose of the course is to provide an advanced and deep skills/ training in the innovation policy domain. Consequently, the course provides the tools for understanding the nature, the foundations, the instruments and the limitations of the innovation policies.

Learning outcomes and competences

To successful conclude the course implies that students are able to answer questions such as: What is innovation policy? What are its instruments? Why is innovation policy useful? How can we make the innovation policy more effective? What are the main instruments of innovation policies at regional, national and European level?

Working method

Presencial

Program

 

Mandatory literature

Edler, Jakob; Fagerberg, Jan; “Innovation policy: what, why, and how”, Oxford Review of Economic Policy, Volume 33, Number 1, 2017, pp. 2–23.
Edler, J.; Gök, A.; and Shapira, P. ; Handbook of Innovation Policy Impact, Edward Elgar, 2016. ISBN: 9781784711849
Godinho, M.M.; Mamede, R. P. and Simões, V. C. ; “Assessment and challenges of industrial policies in Portugal: is there a way out of the ‘stuck in the middle’ trap?”, in Structural Change, Competitiveness and Industrial Policy: Painful Lessons, Routledge, 2014
Mazzucato, M.; The Entrepreneurial State. Debunking public vs. private sectors myths., Anthem Press., 2014

Complementary Bibliography

Argentino Pessoa; Políticas de Inovação (2ª ed.),, CreateSpace, Charleston, SC, USA, 2014. ISBN: 9781502981516 (Available at Amazon)

Teaching methods and learning activities

Diversified methodologies: Presentation and discussion of theoretical issues; analysis, both individual or in team work, of statistical indicators; analysis of objectives and instruments in applications of innovation policies; analysis of the design of innovation policies in different regional and national frameworks; case studies.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Apresentação/discussão de um trabalho científico	25,00
Teste	25,00
Trabalho escrito	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	90,50
Frequência das aulas	42,00
Trabalho de investigação	70,00
Total:	202,50

Eligibility for exams

Continuous evaluation

or

Final exam

Calculation formula of final grade

Continuous evaluation:

Final grade=50% * Part 1 + 50% * Part 2 = 50% * (50% * Mini-tests + 35% * Written work + 15 * Presentation) + 50% * Written work

or 

Final exam

Classification improvement

Final exam (100%).