Postgraduate Course: Applications in Ecological Economics (PGGE11003)
|School||School of Geosciences
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Available to all students
|Summary||The purpose of this course is to explore a range of methods that can contribute to decision-making in the context of coupled ecological-economic systems. These methods constitute part of the toolkit that:
(1) Enable researchers to analyse real world environmental problems from an ecological economics perspective
(2) Can be used to enhance decision-making and policy design
For each of the core methods featured in the course, students will get to practice analysing data and making decisions and recommendations based on said analysis.
This course is organised and delivered using a flipped-classroom design. This means that class time is spent almost entirely undertaking activities that help you practice conducting analyses with the methods covered in the course, and then linking these analyses to particular decision contexts. Ove the course of the semester you will get practice thinking about and communicating what the implications of your analyses are for real-world problems related to Ecological Economics and Sustainability. You will also get the opportunity to practice developing a host of transferable skills related to working in interdisciplinary teams.
The particular variety of flipped-classroom used in this course means that most of the assessments for the semester will be completed and submitted during class time. This requires students to complete assigned readings/prep work and in some cases to complete practice exercises before coming to class, but also means the workload is fairly stable/constant over the term once the course has gotten underway. The course is split into 5 units, each of which focuses on one method. In order, the units delivered in 2017 will be:
Cost Benefit Analysis
Bayesian Belief Networks
In each unit, students will be asked to read selected background information on the method and to complete some other specific preparation for the unit. In order to ensure both individual and team accountability, there will be short quizzes on this material at the start of each unit during class. Students will then be walked through how to complete an analysis using the method in question (inclusive of a discussion of how to make the link between interpreting outcomes and making recommendations in a particular, sustainability-related decision context) before subsequently being asked, in teams, to complete a challenge largely independently of the unit leader. The recommendations made by the team, based on the interpretations of the outcomes of this independent analysis will be submitted in class and will form part of the mark of the course. There are a number of ¿checks and balances¿ built into the course to ensure that teams are productive and functional, and to protect individuals from some of the problems that can arise in teams. Email the course organiser for more information.
The culmination of the course is the final essay. For this essay, each individual will select one of the methods covered in the course. Using the ¿assignment pack¿ provided for that method (containing the problem, starting references, and data), each individual will then complete the required analysis and write up the results in a miniature journal article. This assignment allows individuals to showcase their skills and also to practice the kind of analysis they may wish to pursue in their dissertation research.
Throughout the course there is an emphasis on interpretation, making decisions, and in explaining the justifications for the decisions made. The course is suitable for all students interested in methods that are useful for shining light on different dimensions of sustainability problems in a way that is useful for decision makers.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2016/17, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 44,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
Individual Quizzes (4 x 2% = 8% total)
Team Quizzes (4 x 2% = 8% total)
Team Challenges (4 x 10% = 40% total)*
Final Essay (5,000 words max; 44%)
Optional bonus point project (5% max; timing will be week 6; details to follow in class)
*Note that these are weighted for individual contribution based on a qualitative peer/self assessment
In plain English;
I want you to learn about a range of methods that are useful in the context of multi-dimensional sustainability problems (Ecological Economic problems), to be able to conduct analyses using these methods, and to be able to make recommendations and decisions based on those analyses. I want you to be able to communicate the results of those analyses, and the reasoning behind your decisions/recommendations, both informally and formally, and I want you to be able to assess the transferability of those methods to other contexts by matching the features of the method to the features of the context. Ultimately, by walking you through the process 5 times, I want you to gain more confidence that you could go through the same process, on your own, in your dissertations or in order to teach yourself about a totally new method in the future if you need to or want to.
|No Exam Information
On completion of this course, the student will be able to:
- identify ¿ecological economics problem¿ (EEPs)
- explain the key features of a range of methodologies relevant to decision making in the context of EEPs
- conduct simple analyses using these methodologies to make recommendations to decision-makers
- appreciate for what is involved in implementing a variety of methods
- critically appraising the suitability of particular methods to particular problems
Turner, Pearce & Bateman (1994) Environmental Economics. An Elementary Introduction. Harvester Wheatsheaf. [Two copies on reserve SAC library]
Pearce, D. and Turner, R.K. (1990) Economics of Natural Resources and the Environment. Harvester Wheatsheaf. [Two copies on reserve SAC library]
Faber, M, Manstetten, R. and Proops, J. (1996) Ecological Economics: Concepts and Methods. Edward Elgar.
Political Science/Sustainability/Economic critique/Measuring sustainability
Clayton, A.M.H. and Radcliffe, N.J. (1996) Sustainability: a Systems Approach. Earthscan. [KB bookshop/library catalogue]
Reid, D (1997) Sustainable Development. Earthscan. [KB bookshop/library catalogue]
Meadows, D.H., Meadows, D.L. and Randers, J. (1992) Beyond the Limits. Earthscan. [KB bookshop/library catalogue]
Daly, H.E. and Cobb, J. B. (1989) For the Common Good. Green Print.
Edwards-Jones, G., Davies, B. and Hussain, S.S. (2000) Ecological economics. An Introduction. Blackwell: Oxford. Chapters 1-3 and 11.
Multi-criteria analysis/Participatory Appraisal
Edwards-Jones, Davies and Hussain (2000) Ecological Economics: An Introduction. Blackwell: Oxford. Chapters 7 and 10 [SRUC library]
Students will need to complete assigned readings before coming to class. These readings are largely in the form of tutorial booklets written for this course. Understanding of the key concepts and methodological features will be assessed each unit via short individual and team quizzes
In addition to the assigned readings, students will be required to consult peer-reviewed journal articles for the assignments. Students will be responsible for finding these journal articles.
Supplemental readings that may be helpful to students will be provided for each method on LEARN
|Graduate Attributes and Skills
||Team work; Decision-Making; Quantitative Analysis; Interdisciplinary Analysis; Problem-Sovling
|Keywords||Applications in Ecological Economics,Applications in Ecological Economics Team-Based Learning Flippe
|Course organiser||Ms Corinne Baulcomb
Tel: 0131 535 4031
|Course secretary||Mrs Elspeth Martin
Tel: 0131 535 4198
© Copyright 2016 The University of Edinburgh - 3 February 2017 4:54 am