Applied Environmental and Resource Economics
A.Y. 2021/2022
Learning objectives
The course aims to introduce students to applied quantitative methods currently used for the economic assessment of environmental problems and of environmental policies at the micro and macro scale. At the end of the course, students will get acquainted with the basic principles of the different quantitative tools, their practical implementation, and will acquire the capacity to apply them also in contexts which are beyond the field of environmental economics.
Expected learning outcomes
Students will learn basic tools for the quantitative assessment of climate change impacts on economic outcomes, considering both global and country/sectoral impacts. At the end of the course students will be able to develop simple empirical applications using statistical models and stylized general equilibrium models.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
The course will take place with face-to-face lessons that can also be followed online in synchronous mode, following the University rules. Online lessons are organized using Microsoft Teams.
Course syllabus
A. Statistical and econometric methods for the assessment of economic impact of climate change:
- Elements of linear regression tools
- Introduction to climate econometrics
- Ricardian vs panel data models
- Adaptation to climate change and its measurability
- Applications: Global and local economic impacts of climate change
B. Application of macroeconomic models for environmental impact and policy assessment:
- Introduction to Computable General Equilibrium (CGE) Models,
- Historical Introduction
- General features
- Building a CGE model
- Simulating environmental policy
- Integrated assessment (IA) models
- General features
- Building a IA model
- Simulating environmental policy
- Elements of linear regression tools
- Introduction to climate econometrics
- Ricardian vs panel data models
- Adaptation to climate change and its measurability
- Applications: Global and local economic impacts of climate change
B. Application of macroeconomic models for environmental impact and policy assessment:
- Introduction to Computable General Equilibrium (CGE) Models,
- Historical Introduction
- General features
- Building a CGE model
- Simulating environmental policy
- Integrated assessment (IA) models
- General features
- Building a IA model
- Simulating environmental policy
Prerequisites for admission
Mathematics, Statistical Methods in Environmental Studies, Environmental economics are strongly recommended.
Teaching methods
The teaching is based on formal lessons, as well as on the presentation and discussion of specific empirical studies (scientific papers) related to the different topics of the course; the classroom exercises can be based on specific homework assigned by the teacher.
Teaching Resources
Slides and suggested readings provided during classes.
For the part A of the course (Climate Econometrics) because the field is relatively young, there is no "corpus" of training that is considered standard (and there are not textbooks). For the part B (Application of macroeconomic models): RSJ Tol. Climate Economics, Edward Elgar, 1st of 2nd edition (different Chapters).
For the part A of the course (Climate Econometrics) because the field is relatively young, there is no "corpus" of training that is considered standard (and there are not textbooks). For the part B (Application of macroeconomic models): RSJ Tol. Climate Economics, Edward Elgar, 1st of 2nd edition (different Chapters).
Assessment methods and Criteria
The exam will be oral based on questions and possible practical applications on topics and methodologies presented during the lessons.
AGR/01 - AGRICULTURAL ECONOMICS AND RURAL APPRAISAL - University credits: 6
Lessons: 48 hours
Professors:
Curzi Daniele, Olper Alessandro
Professor(s)