Rebuilding an economy: Modelling Zimbabwe’s Mining Sector with Scenario Planning
This report investigates Zimbabwe's mining sector, proposing strategies for growth using scenario planning.
(Generated with the help of GPT-4)
| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publisher: |
University Of Pretoria |
| Authors: | Jessica Southey |
| Geographic focus: | Zimbabwe |
Methods
The research method involved scenario planning, an Operations Research and Business Engineering technique, combined with engineering economics. A questionnaire was distributed to industry experts, and the results were analyzed using the Analytical Hierarchy Process (AHP) and a robust strategy selection method to evaluate two proposed strategies for Zimbabwe's mining sector.
(Generated with the help of GPT-4)
Key Insights
The research analyzes Zimbabwe's mining sector and its potential for economic recovery. It employs scenario planning and engineering economics to propose strategies for growth, considering political stability, commodity prices, and foreign investment. The study includes a detailed survey of industry experts and evaluates the robustness of two main strategies, “Whole Hog” and “Slow & Steady,” for the sector's future development.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Zimbabwe geographic scope | analytical hierarchy process | commodity prices | economic growth | finance | foreign investment | mining sector | political stability | robust strategy selection | scenario planning | strategy development | zimbabwe.