Universität Wien
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040209 KU Environmental Economics (MA) (2022S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 04.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 07.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 14.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 18.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 21.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 25.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 28.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 01.04. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 04.04. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 08.04. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 25.04. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 29.04. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 02.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 06.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 09.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 13.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 16.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 20.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 23.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 27.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 30.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 03.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 10.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 13.06. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 17.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 20.06. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 24.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 27.06. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Can an economy grow indefinitely even if its fossil energy resources are limited in supply? At the same time, if burning of fossil fuels causes climate change, how can we achieve growth and sustainable development? This course will shed light on answers to such questions through the lens of neoclassical growth models which include pollution dynamics and effects of climate change. We will start by learning and reviewing the dynamic optimization methods which is a standard technique for analyzing such models. We will proceed by introducing the standard growth and pollution model, i.e. the Dasgupta-Heal-Sollow-Stiglitz model, and subsequently look at different variants and extensions. We will examine the role of input substitution, technical change, and switch to renewables. We will also discuss policy implications and current developments in environmental regulation in various countries.

Assessment and permitted materials

The final grade is composed of the results of the midterm assessment (30%), a presentation on the topic of your choice (30%), and the final assessment (40%).

Minimum requirements and assessment criteria

It is advisable that students have taken “Resource and Environmental Economics” course before enrolling in this course. Advanced economics Master and PhD students will be able to follow the material without having taken “Resource and Environmental Economics”.

Examination topics

All topics covered in the lectures and problem sets.

Reading list

Will be provided in the syllabus and posted on moodle while the course progresses.

Association in the course directory

Last modified: Th 03.03.2022 15:47