ECONOMICS OF CORRUPTION - 2020/1

Module code: ECO3054

Module Overview

The module explores the incidence of corruption from an economic perspective. It is based on the relevant academic literature and incorporates both microeconomic and macroeconomic approaches. Different aspects of corruption are examined, such as causes and consequences, and a deeper understanding around the topic is developed.

Module provider

Economics

Module Leader

ARSENIS Panagiotis (Economics)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 6

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 128

Lecture Hours: 22

Module Availability

Semester 2

Prerequisites / Co-requisites

None

Module content

Indicatively, content includes:


  • Measuring corruption

  • Causes of corruption

  • Consequences of bureaucratic corruption: theory & evidence

  • Consequences of political corruption

  • Corruption and transaction costs

  • Making corrupt deals: contracting in the shadow of the law

  • How confidence facilitates illegal transactions: an empirical approach


Assessment pattern

Assessment type Unit of assessment Weighting
Coursework 2000-word essay 30
Examination Two-hour examination 70

Alternative Assessment

NA

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate that they have accomplished the module's learning outcomes.

Thus, the summative assessment for this module consists of:


  • Coursework, 2000-word essay, (addresses learning outcomes 1, 3 and 4)

  • 2-hour examination (addresses learning outcomes 1, 2 and 3)



Formative assessment involves material that students receive to work on and prepare for their examination.

Feedback is provided upon completion of the coursework including comments on student performance and how to improve, where appropriate.

Module aims

  • Provide students with a conceptual and factual framework to facilitate a deeper understanding of the incidence of corruption.

Learning outcomes

Attributes Developed
001 Understand the dynamics of corruption KC
002 Understand the application of known concepts to a specific area of economics KC
003 Develop critical thinking CT
004 Develop research and writing skills CPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to meet the module's aims and learning outcomes.

The learning and teaching methods include:


  • 2-hour lecture per week × 11 weeks;

  • Class discussion.



The expected amount of independent study time is 128 hours.

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ECO3054

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Politics and Economics BSc (Hons) 2 Optional A weighted aggregate mark of 40% is required to pass the module
Business Economics BSc (Hons) 2 Optional A weighted aggregate mark of 40% is required to pass the module
Economics and Finance BSc (Hons) 2 Optional A weighted aggregate mark of 40% is required to pass the module
Economics BSc (Hons) 2 Optional A weighted aggregate mark of 40% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2020/1 academic year.