77912 - Sustainable Resource Economics and Policy

Learning outcomes

The course aims at providing the students with the tools to understand issues related to the economics of natural resources and its relationship with economic sustainability. In particular, students will learn how to use and interpret models of forestry, fisheries, pollutant emissions, resource extraction and harvesting. They will also be able to assess the sustainability of economic systems if the individuals' welfare depends on the creation and harvesting of renewable resources as well as on the extraction of non-renewable resources.

Course contents

All details are available in Virtuale

Readings/Bibliography

Main references:

- A Course in Behavioral Economics, by Erik Angner (Palgrave Macmillan, 2012).

- CORE textbook (Microeconomics) -->

Chapter 4:https://books.core-econ.org/the-economy/microeconomics/04-strategic-interactions-01-climate-negotiations.html

Chapter 10:https://books.core-econ.org/the-economy/microeconomics/10-market-successes-failures-01-bananas-fish-cancer.html

- Roger Perman, Yue Ma, Michael Common, David Maddison, James Mcgilvray, 2013. Natural resource and environmental economics. Addison Wesley, 4th edition.

- Lecture notes

- Other relevant papers are cited in the slides.

See Virtuale for more detail.

Teaching methods

A mix of traditional lectures and highly interactive modules based on experimental software, presentations and guest lecturing. Part of the interactive modules will be online.

Assessment methods

Final exam

The exam (in presence only), consisting of a written test, can either be sit through two partial exams, one right after each module, or by sitting a full test in June and in September.

In the case of partials, the exam will consist of two questions; total time allotted 35'.

In the case of the full exam, it will consist of 4 questions, two on each module; total time allotted 60'.

Exam rules

Students can sit the second partial only if they passed the first one. Students that failed the first partial have to take the full exam. Students that passed the first partial but failed the second partial have to take the full exam. Also students that want to re-sit the exam have to take the full exam. Extra points for the project in Prof. Tavoni’s part are valid only if the exam is taken with partials.

Grading is as following:

• <18 fail

• 18-23 sufficient

• 24-27 good

• 28-30 very good

• 30L excellent

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AI use

Artificial Intelligence (AI) may be used as a valuable tool to support independent study by providing additional explanations, summaries, and self-assessment activities. However, during examinations, the use of AI is strictly prohibited. Any use of AI during the examination constitutes a violation of academic integrity

Teaching tools

Virtuale, Teams, Moblab

Office hours

See the website of Alessandro Tavoni