I want to model four scenarios based on GDP growth rates and illustrate how changes in GDP influence long-term energy demand. I have the baseline scenario with a GDP of 5%, the low growth (LGR) scenario with a GDP of 4%, the medium growth rate (MGR) scenario with a GDP of 6.5%, and the high growth rate (HGR) scenario with a GDP of 9%. I have entered GDP growth rates in the key assumptions tree in each of the scenarios. However, I have a challenge linking GDP growth rates in the Key Assumptions sections to energy demand to see the influence of GDP growth rate on energy demand in each scenario. I am getting the same results despite changing the growth rates. What is the best approach to dealing with this situation?

Thank you.

There is no automatic linkage between the variables you create in Key Assumptions and what happens in your demand scenarios. Rather, you'll need to write expressions in your demand modeling to link growth in your various sectors to the GDP values you put in your Key Assumptions as appropriate. The sample Freedonia data set shows some examples of how to do that.

For example, if you want a variable to grow at the same rate as a Key Assumption located in a Key Assumption branch "Key Assumptions\GDP", then you could write a scenario expression for a demand variable like this using the GrowthAs function:

GrowthAs(Key\GDP)

If you want the variable to gro half as fast as GDP you can include an elasticity paremeter like this: