fresh_42 said:
Yes, but that's also the problem with those charts. It depends a lot on how and what is measured and / or compared to what. It is even more difficult to measure in our modern service oriented societies, where less and less is actually "produced". E.g. are incomes from capital, which (I'm not sure but think they) are covered by the GDP figures, taken into account for the per capita calculation?
GDP gets at how much 'stuff' is produced. You may be thinking of income here like GNI. I haven't gotten in the weeds of these figures in a while. And yes services can be tricky and yes some of these services (like healthcare in the US) have a lot of rot.
fresh_42 said:
And there are very differing costs of infrastructure and resources from country to country: if you don't have to pay or just a small amount for fresh water, then figures about farming are simply not comparable. It's far from easy to make sound statements.
you'll notice that at least one of the footnotes specify the figures are done at Purchasing Power Parity. This is standard for inter-country comparisons. (You may want to look this up...) I also took it as given that The Economist computed the "average annual % change" correctly as a geometric mean not arithmetic or whatever other kind of mean.
It definitely
is not easy. But there are standard tools and techniques that are used and do an ok job. When people say things that are not backed up by any credible data and in fact are directly in opposition to standard figures accepted figures... this is very close to alternative fact territory.
My point is technical-- the claims people make about "productivity" are not about productivity in any standard well defined sense. What they are actually saying is
I like the lifestyle of what me (and my group) 'get' vs how many hours worked. This may have little to do with productivity and is a much more expansive topic than 'mere' productivity. For instance, if you think you are getting a great deal on lunch, it may be because someone else is paying for (most of) your lunch. There's also flavorings of inequality, sampling, inspection bias and a lot more. But the point is they say they are talking about "productivity" but in fact are talking about a much larger set of things.
- - - -
edit:
many of these conversations end up like this:
person: I know ____. (my country is amazingly productive or whatever)
me: Actually there are many organizations that track and analyze this. The data and analytics directly contradict your claim.
person: Oh well I want to talk about tons of details in that data because I'm not sure it's right.
me: excuse me, but you're the one who made a huge assertion. Do you have anything approaching evidence backing it?
person: well, no but I want to criticize your data.