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EC5205 - Economic Growth and Sustainable Development

Credit points: 3
Year: 2020
Student Contribution Band: Band 3
Administered by: College of Business, Law & Governance

Inequality in economic prosperity between countries is significant and patterns in economic growth do not suggest convergence. This subject therefore explores the drivers of economic growth. It studies economic growth over time and across countries in order to identify the key contributors to economic growth. The subject then proceeds to explore and address the (adverse) side effects of economic growth, i.e. it offers ways to pursue sustainable economic growth. As such, the subject provides relevant skills to both economics students and students interested in the broader area of (regional) planning and development studies, who wish to understand the economist's take on growth.

Learning Outcomes

  • demonstrate an advanced level of understanding of theories that propose exogenous drivers of economic growth to explain economic growth differences;
  • demonstrate integrated knowledge of theories that propose endogenous drivers of economic growth to explain economic growth differences and recognise that social and environmental issues are inextricably linked to economic growth;
  • contrast real economic data on theory-informed drivers of economic growth in a rich and a poor country to design advanced-level and integrated economic growth policy recommendations for the poor country.

Subject Assessment

  • end of semester exam (25%)
  • essays (50%)
  • mid semester test (25%).
Assumed
Knowledge:
Introductory subjects in Economics and Statistics
Inadmissible
Subject
Combinations:
BX3023 and EC2001 and EC3412

Availabilities

Townsville, Internal, Study Period 1
Census Date 26-Mar-2020
Coordinator: Assoc. Professor Riccardo Welters
Lecturer: Ms Thi Nguyen.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 12 hours tutorials
  • assessment and self-directed study

External, Study Period 1
Census Date 26-Mar-2020
Coordinator: Assoc. Professor Riccardo Welters
Lecturer: Ms Thi Nguyen.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 0 hours
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

JCU Brisbane, Internal, Study Period 23
Census Date 03-Dec-2020
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 12 hours tutorials
  • assessment and self-directed study

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.