- Docente: Elettra Agliardi
- Credits: 8
- SSD: ECON-02/A
- Language: English
- Moduli: Elettra Agliardi (Modulo 1) (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Rimini
- Corso: First cycle degree programme (L) in Economics of Tourism and Cities (cod. 6645)
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from Sep 14, 2026 to Oct 13, 2026
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from Nov 11, 2026 to Dec 10, 2026
Learning outcomes
The course will offer students a multidimensional perspective on the existing connection between human societies and the environment, drawing insights from environmental, resource, and ecological economics. The purpose of the course is to present the main economic challenges posed by climate change and the green transition in a way that integrates climate, economy, and policy issues. The objective is to enable students to gain a comprehensive understanding of sustainability issues and the drivers of climate change, but also the methods to analyze them and the approaches used to design policies addressing these problems.
Course contents
- Cost–Benefit Analysis: The Basic Concepts
- The Welfare Foundations of Cost–Benefit Analysis
- Distribution Issues and Benefits Transfer
- Risk Assessment in CBA
- Ecosystem Services: Total Economic Value and the Environment.
- Preservation vs Conversion. Methods of Valuation
- Environmental Factors and Human Ecosystems, Biodiversity, and the Economy
- The Coevolution of Ecological and Economic Systems
- Measurement, Valuation, and Economic Policy
- Sustainability: Defining and Measuring Sustainability. The UN’s Agenda 2030 and the SDGs
Readings/Bibliography
Main reference book:
Xepapadeas, Lectures in Applied Environmental Economics and Policy, World Scientific, 2024
Teaching methods
Lectures and flipped classes. The second module includes lab sessions. Students are asked to solve some assigned practical tasks under the guidance of the teacher.
Assessment methods
The assessment method is based on the evaluation of a written test for the individual preparation. Students are expected to answer ten questions, including multiple-choice, true-false, or short answers. Out of the ten questions, seven questions are based on the contents of the first module, while three questions are based on the contents of the second module. A mock exam as a sample will be provided before end of lectures. Students are expected to know the basic quantitative methods discussed during lectures and to critically discern the limitations of the methods employed in the analysis. Assessment during onsite lectures (consisting of mid-Term mock tests, short case studies reports, solutions of pre-assigned tasks and flipped classrooms) are also considered.
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.
The maximum possible score is 30 cum laude, in case all anwers are correct, complete and formally rigorous and the other assessment activities above were positive.
The grade is graduated as follows:
<18 failed
18-23 sufficient
24-27 good
28-30 very good
30 e lode excellent
Additional information on the assessment method will be discussed during the first lecture.
Teaching tools
Slides, exercises and numerical codes
Office hours
See the website of Elettra Agliardi
See the website of
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.