Yes, Boldrin and Levine keep saying the same thing over and over again, but they sure get better and better at saying it:
If a well-designed patent system would serve the intended purpose, why recommend abolishihg it? Why not, instead, reform it? To answer the question we need to investigate the political economy of patents: why has the political system resulted in the patent system we have? Our argument is that it cannot be otherwise: the “optimal” patent system that a benevolent dictator would design and implement is not of this world and it is pointless to advocate it as, by doing so, one only offers an intellectual fig-leaf to the patent system we actually have, which is horribly broken. It is fine to recommend reform but, if politics make it impossible to accomplish that reform, if they make it inevitable that if we have a patent system it will fail, then abolition – preferably by constitutional means as was the case in Switzerland and the Netherlands prior to the late 19th century – is the proper solution and proposals of reform are doomed to fail. This logic of political economy brings us to the view that we should work toward a progressive dismantlement of the patent system.
Read the article here.
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October 19, 2012 at 7:24 am
Turing Test
Logical fallacy alert: wholesale abolition of the patent system is even less politically feasible than incremental reform
October 19, 2012 at 9:14 am
Jim S
I had the same reaction. “No patents” is a special case of a patent policy. Imagine a patent system could be parametrized by a single number in [0,1]. Why is “0” the only number magically immune to the “political economy of patents”?
October 19, 2012 at 9:33 am
jeff
Extreme points are bright lines and easy to defend. Its clear what “abolished” means. Its less clear how to define intermediate policies. That makes them vulnerable to the slippery slope.
October 19, 2012 at 1:05 pm
Enrique
Fair enough. But even if we concede that an “extreme point” is easier to defend than a nuanced or subtle point, at the same time, the very “extremeness” of a given point makes it less likely that we will be able to reach that point in a single step without some kind of Schellingesque “tipping point” or (what I like to call) a “reverse-equilibrium” point — and to reach that magical point (where large change is possible), all we need is a given number of small steps that in turn combine to produce a large and unexpected aggregate effect