Course - Environmental footprinting - TEP4222
Environmental footprinting
Assessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
Environmental burdens like resource use and greenhouse gas emissions are the result of production and consumption activities all around the world. Such burdens occurring along local and global supply chains can be attributed to their causes through environmental footprinting. Environmentally-extended input-output analysis (EEIO) is a well-established method for environmental footprinting and sustainable development assessments.
The objective of this course is to introduce the method, as well as provide insights into the various applications. The first part of the course shows how data from national accounts provide a basis for economic as well as environmental accounting. Based on this, the input-output framework is developed. The method can be further scaled up to cover global supply chains and international trade using multi-regional input-output (MRIO) tables.
The second part of the course focuses on the application of EE IO analysis and hybrid-LCA footprint models in the environmental accounting of companies, cities, and nations. The unique advantages of EE IO analysis are discussed in the context of circular economy, green innovations, urbanisation, and sustainable lifestyles. The themes can vary from year to year.
Learning outcome
Knowledge:
- National Accounts and environmental extensions
- Environmentally Extended Input-Output (EE IO) analysis
- Multi-Regional Input-Output (MRIO) models
- Displacement of environmental and social impacts through international trade
- Household footprints and sustainable lifestyles
- Rebound effects of sustainable consumption, and climate- and circular economy policies
Skills:
After the course, the student can:
- Describe the connection between national accounts and EE IO modelling
- Apply EE IO analysis for the environmental assessment of production and consumption activities on a sector, national, and global level
- Use computer programming (Python) for the required modeling and presentation of results
- Read and interpret scientific papers in the field of EE IO analysis
General competence:
- Critical thinking related to the environmental impacts of economic activities and the modelling of these impacts
- Connecting research to environmental strategies and policy recommendations
Learning methods and activities
The course consists of lectures and weekly assignments. Most assignments involve programming in Python. In addition, there are mandatory readings and reading discussions. The lectures are in English. Since the teaching is given in English the Examination papers will be given in English only. Students are free to choose Norwegian or English for written assignments.
Compulsory assignments
- Project presentation
- Exercises
Further on evaluation
The assessment is based on the assignments, an EE IO project, and a presentation of the project. The project is done in a group of 2-3 students, unless the student seeks to do this individually. Make-up assessment/repeat can be based on an oral exam.
Recommended previous knowledge
Linear algebra and programming (python). A basic understanding of economics. An introductory course in environmental science or environmental economics. One of the following courses or equivalent: TEP4221 Python for sustainability analysis, TEP4223 Life-Cycle Assessment, TIØ4120 Operations Reasearch. Contact main lecturer for inquiries regarding prerequisites.
Course materials
All course material is distributed via Canvas.
Subject areas
- Industrial Ecology
- Economics
- Technological subjects