NIFK23007U Applied Trade and Climate Policy Models
MSc Programme in Agricultural Economics
MSc Programme in Environmental and Natural Resource Economics
Students in the MSc programs in agricultural economics, environmental and resource economics, and related fields frequently encounter challenges in identifying and applying appropriate computational methods/models to conduct their master’s thesis research. This course aims at equipping students with several useful applied computational models for conducting quantitative analysis of policy issues within agricultural policy, international trade, energy markets, the enviroment, and climate change.
This course first introduces and discusses essential policy issues in areas such as food and nutrition security, international agricultural trade, trade agreements and disputes, domestic support to agriculture, agricultural development, interactions between agricultural and energy markets, impacts of global environmental and climate changes, climate mitigation efforts, and decarbonization pathways.
We then cover computational methods that are used
frequently in analyzing the above issues, with the emphasis on
simulation models that can establish and compare alternative policy
options/scenarios and pathways and can provide welfare
economic analysis of these alternatives options/scenarios/pathways.
We start with the structure of input-output (IO) table and
social accounting matrix (SAM) and conduct IO analyis. We then
introduce partial equilibrium (PE) and computable general
equilibrium (CGE) models. Our focus is a global CGE model, with
detailed presentation of its theoretical structure and
mathematical implementation. This is to be followed by
hands-on tutorials on how to use these models, combined with
replications of numerical results contained in published literature
in relevant research areas.
The final element of the course is for the students to conduct their own research projects by analyzing relevant research questions, using the global CGE model covered in this course.
After completing the course the student should be able to:
be well informed of the most recent academic literature in agricultural policy, international trade, and climate change, especially literature with distinct policy orientations and computational components
be aware of latest development of policy issues arisen from actual policy discussions and can relate these developments to that of the relevant academic literature
understand the economic and mathematical structure of most popular computational/quantitative economic tools widely used in the above-mentioned areas
be able to read, understand and critically review quantitative academic literature in the aforementioned areas
be able to identify interesting and relevant researchable questions through studying academic literature and/or policy reports
be able to formulate research proposal and develop research plan for a concrete research project
be able to identify and search for policy information and data to support the proposed research agenda
be able to choose and apply the appropriate computational methods/models to conduct quantitative economic analysis of identified research questions according to the objectives established in the proposed research agenda
be able to draw conclusions and policy recommendations/implications vis-a-vis the research question posed in the research project, from the numerical results drawn from the computational analysis
be able to present the research projects, including the analysis and findings in written and oral forms
Apply analytical skills and computational methods introduced/acquired from this course to carry out the full process of a research project, including literature survey, identifying research question, formulating research proposal and plan, acquiring data, design the research method and strategy especially in relation to the choice and application of computational methods and models, implementing the proposed research project, and drafting the research report, and presenting the research finding.
List of literature to be discussed will be announced
at the beginning of the course. Three types of literature will be
used, as follows:
1. Journal articles from major international journals
2. Chapters in relevant books/collected volumes and latest unpublished working papers by leading researchers
3. Documentations and technical papers on computational/quantitative models
Academic qualifications equivalent to a BSc degree is recommended.
- Practical exercises
- Project work
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- 7,5 ECTS
- Type of assessment
- Written assignment, made during the blockOral examination, 25 minutes
- Type of assessment details
- Assessment of either a group or an individual project report
written during the block. Weight: 70 %
Oral examination based on the submitted project report. Weight: 30%. No time for preparation.
Students must pass all part-examinations individually to pass the overall exam
- Without aids
no aids for the oral exam.
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner
The same as the ordinary exam.
If the student has passed the project report at the ordinary exam, a new project report should not be submitted. If the student failed the project report at the ordinary exam, a new project report should be submitted two weeks before the deadline of registering in the re-examination.
Criteria for exam assesment
according to knowledge, skill and competency listed in the the learning outcome section.
- Course code
- 7,5 ECTS
- Full Degree Master
- 1 block
- Block 2
- Course capacity
- no restrictions
The number of seats may be reduced in the late registration period
- Study Board of Natural Resources, Environment and Animal Science
- Department of Food and Resource Economics
- Faculty of Science
- Wusheng Yu (7-807e7c716e777049726f7b7837747e376d74)