ECON42680

Learning Outcomes:

On successful completion of this module students should have:
1. An understanding of the objectives and role of competition policy, and its relevance for sustainable development and long-run economic performance.
2. An ability to apply competition policy frameworks and economic intuition to analyse competition issues arising in markets relevant to sustainability.
3. Analytical and critical thinking skills in the evaluation of competition policy issues, including the assessment of policy trade-offs involving competition, efficiency, innovation, and sustainability considerations.
4. An understanding of industrial policy as a driver of industrial evolution

Indicative Module Content:

- The objectives of competition policy and its role in promoting effective competition
- Economic intuition and frameworks for analysing competition and market outcomes
- Market power and competitive constraints in practice
- Collusion and coordinated behaviour in markets
- Mergers, market structure, and sustainability-related efficiency considerations
- Vertical restraints, supply chains, and competition
- Competition policy challenges in dynamic markets, including innovation and sustainability transitions
- Industrial policy and structural change in the context of sustainable development
- The role of industrial policy in shaping industrial development, innovation, and sustainability outcomes
- Online learning on industrial policy and development through the SDG Academy

Student Effort Hours:

Approaches to Teaching and Learning:

The module is delivered through a combination of live on-line lectures (which will also be recorded) and structured online learning. Live lectures focus on developing students’ understanding of competition policy concepts and policy frameworks, supported by applied examples and discussion. Online learning through the SDG Academy supports students’ engagement with industrial policy and sustainable development issues. Learning is reinforced through applied written work, project-based assessment, and guided independent study.

Use of AI:
AI tools may be used for limited purposes such as background research or language editing, but not to generate substantive analytical content. Any use of AI must be acknowledged in an AI Statement, and students remain fully responsible for the content and academic integrity of their work.

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Not applicable to this module.
 

Assessment Strategy

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Written individual feedback provided to students post-assessment, plus contact hours post-assessment for students who wish to obtain further individual feedback on assignments