Thank you, after some research I also found the following points;
Quantifying qualitative factors in a sensitivity analysis can be challenging but not impossible. Here are some approaches you can consider when quantifying factors like political and policy stability: 1. Expert Opinion: Seek the input of experts or experienced professionals in the field who have knowledge of the specific region or country where the mining project is located. They can provide qualitative assessments that can be converted into quantitative measures, such as rating the political and policy stability on a scale from 1 to 5 or assigning a probability of occurrence. 2. Historical Data: Analyze historical data to identify patterns or trends related to political and policy stability in the region. This could involve researching past political events, changes in government, or shifts in policy frameworks that have impacted the mining industry. By analyzing this data, you may be able to assign numerical values or probabilities to reflect the level of stability. 3. Comparative Analysis: Compare the political and policy stability of the region in question with other regions that have similar characteristics. For example, you could assess the stability of neighboring countries or regions and use that as a benchmark for your analysis. By making comparisons, you can attribute numerical values or probabilities to the qualitative factors. 4. Scenario Analysis: Develop different scenarios based on different levels of political and policy stability. For example, you could create optimistic, moderate, and pessimistic scenarios, each reflecting different assumptions about stability. Assigning probabilities or weights to these scenarios can help quantify the impact of qualitative factors. 5. Sensitivity Ranges: Instead of assigning specific numerical values, you could assign a range of potential values or probabilities to reflect the uncertainty associated with qualitative factors. For instance, you could define a range of high, medium, and low stability and examine the sensitivity of the mining project to changes within those ranges.