Often it appears that quality product gains and productivity gains are one and the same. However, might quality product occasionally detract from rising standards of living? Confusion about quality product as an aspect of productivity, deserves more attention than it receives. For example, recently Timothy Taylor opened a post re the productivity slowdown after 2005 with this observation:
In the long run, a rising standard of living is all about productivity growth. When the average person in a country produces more per hour worked, then it becomes possible for the average person to consume more per hour worked.
But, how do we know when this desirable process actually occurs? When might organizational processes to generate product quality, diminish aggregate consumer potential instead? Societies need better measuring indicators to determine how aggregate input/output requirements affect basic levels of consumption potential. Only recall how presently, many of the costs of excessive inputs for quality services are being shifted to future generations, via deferred debt and budgetary burdens. Indeed, much about our future economy, depends on the extent to which human capital contributes to exponential output gains, symmetric time coordination, or else the excessive time scarcities that today's knowledge providers have generated.
The differences in time versus exponential product designations, are vitally important for how we frame organizational capacity and the productivity which contributes to GDP representation. Nevertheless, these sectoral differences are difficult to conceptualize, because productivity is not often described in such terms. Consequently, the highly valuable yet costly product of time based services, poses undue financial societal burdens. Our lack of understanding as to the actual inputs and outputs that time scarce services involve, might consequently leave some of this future organizational capacity in doubt.
Oddly, much of the present confusion, actually comes down to a one size fits all productivity perspective. Given the lack of more precise tradable sector and non tradable sector measures, the present combination is statistically confused as what an "average person in a country produces". Since this perspective doesn't distinguish between time centered output versus exponential forms of output, many forms of applied knowledge lack economic clarity. In particular, we still don't know approximate time increments that are expected of the average individual for the most basic aspects of non discretionary consumption. Before anyone gets sidelined by productivity factors such as leisure time or seemingly "free" consumption gains, basic non discretionary requirements are really the starting point for other productivity considerations. Plus, knowing a base level of expected consumption costs in relation to multiple income levels, provide clues how production input/output ratios matter most for consumers and producers.
Should tradable and non tradable sectors gain more accurate forms of input/output representation, it would become simpler to think about the differences in approach these groups really need for purposes of long term productivity gains. All the more so, since when non tradable sectors focus on quality product, thus far they've inadvertently done so in ways which detract from further consumption options in the marketplace.
Ultimately, even though quality product isn't the same as rising standards of living, that doesn't mean time based forms of product aren't important. Not only are many forms of time based product desirable, the time scarcities of production and consumption are among the most important considerations for total or multi factor productivity. Even though organizations logically seek to "save" time (via traditional productivity reductions of time/hours in relation to other inputs), there's still our personal motivation to "use" our economic time in the most significant ways possible.
Occasionally, the best choices in this regard turn out to be experiential time spent with others. For the most part, we seek to balance the economic time we hope to gain from others, with the economic time we hope to share with them. Rather than leaving such decisions to a relative few professionals or possibly artificial intelligence, the best approach really comes down to the kinds of economic time that all citizens hope to take part in.