General equilibrium modelling in South Africa: What the future holds
This paper examines the use of general equilibrium models to analyze agricultural issues in South Africa, highlighting methodological advances, data challenges, and the need for further research capacity in this field.
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| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publisher: |
Agrekon |
| Authors: | C Punt, S Mcdonald |
| Geographic focus: | South Africa |
Methods
The research method involved reviewing a decade of general equilibrium models used to analyze agricultural issues in South Africa, assessing methodological developments, data requirements, and the role of national statistical agencies. Advanced data estimation techniques were also examined to address data challenges.
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Key Insights
The research report provides an in-depth analysis of general equilibrium modeling in South Africa, focusing on agricultural issues. It reviews methodological developments since the country's transition to democracy, improvements in modeling and computing techniques, and the challenges of data requirements. The paper discusses the role of national statistical agencies in supporting modelers, the lack of primary data, and the development of advanced data estimation techniques. It also emphasizes the limited application of these techniques in South African agriculture and the necessity for substantial support and training to expand domestic research capacity.
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Additional Viewpoints
Categories: English publication language | South Africa geographic scope | agricultural issues | agriculture | data estimation techniques | data requirements | futures | general equilibrium models | input-output tables | methodological developments | modelling | policy analysis | research capacity | social accounting matrices | statistical support