Undergraduate Course: Agricultural Growth and Productivity Analysis (VETS10030)
Course Outline
| School | Royal (Dick) School of Veterinary Studies |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This course will develop the principles of agricultural production, as well as the measurement and influences on growth in the agricultural sector. The course will cover theoretical and applied aspects and statistical modelling concepts using real world data to cover topics relevant to growth within the agricultural systems. |
| Course description |
This course will develop an underlying understanding of the economic principles of growth using real world examples and applied statistical modelling techniques. This will allow students within the agricultural economics stream to develop quantitative techniques first developed in year 2 and based around issues of measurement, data integrity, and the impact of technology and growth.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Recognise two theories of agricultural growth.
- Explain the limitations of two different production functions when applied to agriculture.
- Demonstrate how to create an index on secondary time series data.
- Predict the impact of external factors on agricultural growth.
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Reading List
Suggested texts include:
Fuglie, K., Wang, S.L., Ball, E. (2012). Productivity Growth in Agriculture: An International Perspective.
CABI, Wallingford, UK
Isakkson et al. (2015). Productivity in developing countries: trends and policies. United Nations Industrial Development Organisation, Vienna 2005
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Additional Information
| Graduate Attributes and Skills |
Planning, organising, time management, in planning and delivering the final essay.
Enquiry and lifelong learning through awareness and ability to understand and assess evolving datasets related to agricultural growth.
Aspiration and personal development, by offering applied quantitative skills for understanding and analysing trends in agricultural growth.
Written communication, ability to produce clear, structured written work that effectively explains information through the essay assignment.
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| Keywords | Not entered |
Contacts
| Course organiser | Prof Andrew Barnes
Tel: (0131) 535 4042
Email: |
Course secretary | Mr Gordon Littlejohn
Tel: (0131 6)51 7454
Email: |
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