That's an excellent question and a suitable interpretation, I think, of my testimony in this context.
If we look at the research landscape across Canada, we've done a lot of research on different regions. That's how I can say with a high degree of confidence that there is huge regional variability. One of my concerns, then, is if we start to look at something that has federal implications, how do we roll that up?
If I were to ask what the similarities and differences are between potatoes produced in Lethbridge, Alberta versus on Prince Edward Island, or if I look at crop production on the Prairies versus southern Ontario, those are some of the challenges that I would say we have.
The other challenge we have in terms of collecting and bringing all of this data together is the sheer size of our country and actually capturing some of that variability across space and time. The cost of getting data that we can be very confident in is very high, because in this context.... Compared to other markets or industries where we might be looking at such a thing, like a product or an industry where there's maybe a factory, there are walls around it and, yes, there are lots of things flowing in and out, it's a bit more defined. We have more control over it.
There are all these other climate variables that influence what the carbon cost of a particular commodity in a year might be if the carbon intensity were to vary. How much drying had to be done on that grain? What fertilizer was necessary in a particular year? What other kinds of considerations had to go into that?
It's that complexity, and at a national level, it's very hard to bring all those data sets together if we want to roll this up into a single federal framework.