| Code |
18201
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| Year |
1
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| Semester |
S2
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| ECTS Credits |
6
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| Workload |
TP(30H)
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| Scientific area |
Economics
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Entry requirements |
NA
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Learning outcomes |
This course aims to develop skills in measuring and analysing productive efficiency, environmental efficiency and total factor productivity. The aim is to deepen knowledge and mastery at an advanced level in the fundamental areas of Economics. On the other hand, it will be a fundamental objective to transmit in teaching and learning the use of tools for analysing economic and environmental efficiency associated with the current problems of the Energy Economy and Circular Economy. In parallel, the analysis of the problem of economic efficiency and environmental risks will be objectively complemented by green finance, insofar as funding for more efficient and sustainable technologies in energy production must be considered and integrated coherently into the decision-making process of investors and encourage the banking sector to adopt green finance and pressure political decision-makers to structurally support sustainable finance
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Syllabus |
I - Economic efficiency: Introduction
1.1 Production Technology and Optimal Value Functions.
1.2 Productivity measurement and decomposition
1.3 Data envelopment analysis (DEA)
1.4. Stochastic frontier analysis (SFA).
II - Economic and environmental efficiency
2.1 Eco-efficiency, green growth and green finance
2.2 Basic concept of eco-efficiency indicators.
2.3 Sustainability indicators: measuring the unmeasurable? III - An overview of green finance
3.1. Sustainable Development Goals
3.2. Green finance as a (still) emerging asset class
3.3 Main types of green finance products and services
3.4 Relevant market trends in green finance
IV - Overview of green finance based on green transactions
4.1 Conventional green finance
4.2 Promoting a green banking market by incentivizing the use of green loans
4.3. Other possible factors facilitating the integration of green finance
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Main Bibliography |
Pedro Macedo, P. · Moutinho, V., Madaleno, M. (2023) Mathematical Methods for Economic Efficiency Analysis Theory and Empirical Applications. Springer ISSN 0075-8442
Coelli Tim, Rao, D. S. Prasada, Battese, George E. and LinkO’Donnell, Christopher J. (2005) An introduction to efficiency and productivity analysis. Springer ISBN: 0-387-24266-X
Fried Harold O.,Lovell, C. A. Knox and Schmidt, Shelton S,(1993); The measurement of productive efficiency. Oxford University Press, ISBN: 0-19-507218-9
Marco Magliorelli & Philippe Dessertine. (2019): The rise of Green Finance in Europe: Opportunities and Challenges for issues investors and marketplaces: Springer Nature Switzerland ISBN 978-3-030-22509-4
Krosinsky, Cary and Sophie Purdom (2016), Sustainable Investing: Revolutions in Theory and Practice. London: Routledge.
Sherwood, Matthew W. and Julia Pollard (2018), Responsible Investing: An Introduction to Environmental, Social, and Governance Investments. London: Routledge.
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Teaching Methodologies and Assessment Criteria |
The teaching is based on theoretical-practical classes with a formal presentation of topics combined with a discussion of empirical studies. Individual monitoring of each student's work using the two methodologies, namely Data Envelopment Analysis and Stochastic Frontier Analysis. In addition, students should be able to produce a written empirical paper. In the second stage of the empirical work, students will have to analyse the differential impacts that green finance instruments can contribute and explain the different levels of economic and environmental efficiency estimated through the application of a specific case study.
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Language |
Portuguese. Tutorial support is available in English.
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