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ECON40615: ENVIRONMENTAL AND CLIMATE ECONOMICS

It is possible that changes to modules or programmes might need to be made during the academic year, in response to the impact of Covid-19 and/or any further changes in public health advice.

Type Tied
Level 4
Credits 15
Availability Available in 2024/2025
Module Cap
Location Durham
Department Economics

Prerequisites

  • None

Corequisites

  • None

Excluded Combinations of Modules

  • None

Aims

  • To provide students with an advanced knowledge and critical understanding of the economic aspects of environmental problems, with a particular focus on climate change, and of specialist economic tools to analyse and solve those problems.

Content

  • Topics may include:
  • Pollution targets
  • Pigouvian taxation
  • Environment Externalities
  • Property rights
  • Coase's theorem
  • International environmental problems and agreements
  • Mitigation and Adaptation solutions to climate change
  • Welfare change measurement for price and environmental quality changes
  • Direct and indirect methods for environmental valuation and their data sources
  • Revealed preference approaches and selected case studies
  • Stated preference approaches and selected case studies

Learning Outcomes

Subject-specific Knowledge:

  • have an advanced knowledge and critical understanding of the contribution of economic analysis to the solution of complex environmental problems;
  • have a critical appreciation of the role of free markets and/or government intervention in dealing with complex environmental problems;
  • have a good understanding of the theory of economic value as it relates to changes in environmental quality and their theoretical measurement;
  • have a practical understanding of the practice of economic valuation of environmental goods and their validity;
  • have a critical knowledge of, and be able to engage in advanced discussion of, current political strategies for the protection of the environment from an economic standpoint;
  • have explored, understood and appreciated the complexity and contradictions of the current academic literature and its implications for professional practice, and be able to identify open questions for their own research.

Subject-specific Skills:

  • be able to solve complex optimisation problems algebraically, and make use of graphical analysis at an advanced level.

Key Skills:

  • Written Communication;
  • Planning, Organising and Time Management;
  • Problem Solving and Analysis;
  • Using initiative;
  • Numeracy;
  • Computer Literacy.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • A combination of lectures, seminars and guided reading will contribute to achieving the aims and learning outcomes of this module. Summative assessment by written assignment that will test students knowledge and understanding of the subject-matter, their critical judgement and problem-solving skills.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures101 per week2 hours20 
Seminars4Fortnightly1 hour4Yes
Preparation and Reading126 
Total150 

Summative Assessment

Component: AssignmentComponent Weighting: 40%
ElementLength / DurationElement WeightingResit Opportunity
One take-home assignmentTo be taken within a one-week window, with a limit of 1,000 words100Same
Component: Continuous assessmentComponent Weighting: 40%
ElementLength / DurationElement WeightingResit Opportunity
In-class tests (each carrying equal weight)10 minutes each100Same
Component: PresentationComponent Weighting: 20%
ElementLength / DurationElement WeightingResit Opportunity
One seminar presentation as a recorded screencast10 minutes100Same

Formative Assessment

One take-home assignment, to be taken within a one-week window, with a limit of 1,000 words.

More information

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Current Students: Please contact your department.