Innovation Economics

Code:

1EC401

Acronym:

EINOV

Keywords
Classification	Keyword
OFICIAL	Economics

Instance: 2021/2022 - 2S

Active?	Yes
Responsible unit:	Agrupamento Científico de Economia
Course/CS Responsible:	Bachelor in Economics

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LECO	111	Bologna Syllabus since 2012	3	-	3	42	81

Teaching language

Portuguese and english

Objectives

Innovation is one of the most important economic and business phenomena of our time. This course presents students with a solid understanding of the economic fundamentals of innovation, emphasizing two complementary approaches to innovation: micro and macroeconomic. Thus, it considers the training of the student in a broader framework of interpretation of phenomena of economic dynamics, at the level of companies, technologies, sectors and the economy.

Learning outcomes and competences

At the end of the course it is expected that students will acquire in-depth and up-to-date training in the field of Innovation Economics. Specifically, students should be able to:

- To locate the main theories of innovation in the approach to long-term economic dynamics;

- Apply relevant knowledge in a creative way;

- Assess the complexity of various perspectives;

- Critically discuss and evaluate data and policies.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Macroeconomics and microeconomics

Program

PART 1. FOUNDATIONS AND STATE OF THE ART OF INNOVATION

1. Concepts and measurement

1.1. Invention, innovation and diffusion. Technologic innovation

1.2. Taxonomies of innovation

1.3. Indicators of ST & I

2. Economics of Innovation foundations

2.1. Innovation in the history of economic thought

2.2. Neoclassical theory, evolutionary theories, (neo) Schumpeterian approaches

2.3. Demand pull vs. technology push debate

2.4. Adoption and diffusion of technologies

3. Innovation in a contemporary perspective

 3.1. Drivers: network externalities; the consumer as innovator, co-creation and mass customization in the era of Industry 4.0; the democratization of innovation and the relevance of other stakeholders

3.2. Open innovation: an introduction

3.3. Innovation in the digital era: new business models; digital platforms

PART 2. MACROECONOMIC AND TERRITORIAL APPROACHES AND INNOVATION POLICY

1. Innovation and macroeconomic dynamics

1.1. Innovation, economic growth and structural change

1.2. Long waves and techno-economic paradigms

1.3. National innovation systems

1.4. Innovation and international competitiveness - technological gap model


2. Innovation, networks and territory

2.1. The territorial dimension of innovation processes

2.2. Clusters and territorial innovation models

2.3. Beyond clusters: global networks and remote access to knowledge


3. Innovation policies

Mandatory literature

Swann G. M. Peter; The^economics of innovation. ISBN: 978-1-84844-027-2

Complementary Bibliography

Argentino Pessoa; Economia da Inovação, CreateSpace, Charleston, SC, USA, 2014. ISBN: ISBN: 978-1503326675
Argentino Pessoa; Innovation and Knowledge Economics, CreateSpace, Charleston, SC, USA, 2012. ISBN: 978-1475088069

Teaching methods and learning activities

Theoretical-practical classes

keywords

Social sciences > Economics

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Teste	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	42,00
Frequência das aulas	39,00
Total:	81,00

Eligibility for exams

The distributed assessment is carried out through:

1) 2 tests, each representing 50% of the final mark; the 1st test evaluates the 1st part of the course, and the 2nd mini-test evaluates the 2nd part of the course. 

Calculation formula of final grade

Students may choose one among two possible evaluation regimes: (i) Final Exam; (ii) Distributed assessment without final exam.

If distributed assessment:
There are 2 assessments moments, as described in the previous section.

The final classification will correspond to the average of the 2 moments of assessment:
50%*1st mini-test + 50%*2nd test

Approval of the course requires a minimum overall average mark of 9,5 points, and a mark of no less than 6 points in each test.

If final exam:
Student is approved in the discipline if he /she gets a grade equal or higher than 10 (0 to 20 scale), meaning a classification in the exam equal or above 9,5 points.

Special assessment (TE, DA, ...)

According to the knowledge assessment regulation (RAC).

Classification improvement

According to the knowledge assessment regulation (RAC).

Observations

In order to benefit from the distributed assessment regime, students will have to attend at least 75% of the classes taught in each of the 2 parts of the program.