An Empirical
Look at Software Patents
Federal Reserve
Bank of Philadelphia Working Paper No. 03-17/R (March 2004) by James
Bessen (Research on Innovation and Boston University) and Robert
M. Hunt (Federal Reserve Bank of Philadelphia) FULL
TEXT see also a less technical version, The
Software Patent Experiment, forthcoming in the Federal
Reserve Bank of Philadelphia Business Review
--Summary by Robert M. Hunt*
What is a software patent? Who gets them, and why do these
firms obtain so many? Does the availability of software patents
contribute to innovation? These are some of the questions that
this working paper addresses.
Background
During the 1970s, software patents were difficult to obtain.
Over time it became gradually easier, and by the mid 1990s,
federal courts treated the patentability of computer programs in
much the same was as they did any other technology. The result has
been a dramatic increase in the number of software patents
granted—over 20,000 a year in recent years.
One difficulty in evaluating the effects of this shift is that
no official definition or classification of software patents
exists. After examining and classifying 400 patents, the authors
developed a keyword search to identify software patents[1]
and identified over 130,000 granted between 1976 and 1999 by the
U.S. Patent and Trademark Office (USPTO).
Who gets software patents?
The authors examined the distribution of software patents
across industries. Between 1994 and 1997, manufacturing firms
received three of every four software patents granted—the
machinery and electronics industries alone obtained a majority.
Software publishers, meanwhile, obtained only 5 percent of
software patents. Controlling for investments in R&D and other
factors, the authors found that firms in the machinery,
electronics, and instrument industries obtained software patents
at a rate four to ten times higher than firms in the software
industry. These industries also hold a majority of patents
of all kinds issued to firms in the U.S.
In fact, an industry’s share of software patents was much
more closely related to its share of all patents obtained than to
its share of inputs associated with software creation. For
example, manufacturing firms employed roughly one in ten
programmers, and the machinery and electronics industries employed
only one in twenty. Software firms employed a
third of all programmers.
Why are there so many software patents?
Using regression analysis, the authors found that only one
third of the total growth in software patents—about 16
percent a year—could be explained by changes in firm
characteristics like R&D, capital spending, or employment of
computer programmers at the industry level. The remainder can be
explained by changes in the legal treatment of software
inventions, increases in productivity among programmers, or both.
They argue that according to the available evidence, it seems that
less than half of this amount can be explained by productivity
growth.
All things being equal, firms successfully applied for 50
percent more software patents in 1991 than in 1987; by 1996, that
rate had exceeded 150 percent. There was no difference in the
growth in software patent propensity among younger and older
firms, except among those in the software industry. Here, new
firms tended to patent less intensively than incumbents.
Do software patents stimulate innovation?
One way to answer this question is to investigate the effects
of patents on firms’ investments in R&D. The authors ask
whether software patents and R&D are complementary inputs or
substitutes in the production of profits. Ordinarily, we would
expect them to be complements—more R&D should lead to
more inventions, making additional patents easier to obtain.
Similarly, stronger patent protection should increase the expected
return from successful R&D projects, stimulating more R&D.
This is not what the authors found.
They examined the relationship between changes in firms’ R&D
intensity (the ratio of R&D to sales), changes in the cost of
other inputs, and changes in their focus on software
patents—the percentage of software patents among all of
their new patents—over five-year intervals.[2]
The authors found that during the 1990s, all else equal, firms who
increased their focus on software patents tended to reduce their
R&D intensity relative to their peers. This suggests that in
the 1990s, software patents substituted for R&D. This negative
relationship was found only in certain industries, specifically
those industries noted strategic patenting.
Taking the analysis literally, if
the number of software patents grew only as rapidly as that of all
other patents after 1991, the average R&D intensity of U.S.
firms would be about 7 percent higher than was actually recorded
in 1997. This amounts to about $9 billion in additional private
R&D.
Conclusions
These patterns seem inconsistent with the expectation that
granting more and stronger intellectual property rights on
software inventions stimulates R&D. But suppose instead that
firms assemble large patent portfolios in order to extract
royalties from competitors and to defend themselves from similar
behavior by their rivals. In theory at least, extensive
competition in patents, rather than in inventions, may occur when
firms rely on similar technologies and the cost of assembling
large portfolios is not very high. In such an environment, firms
may compete to tax one another’s inventions by demanding
royalties. In the process, they can reduce one another’s
incentive to engage in R&D.[3]
Under these circumstances, firms may find themselves competing not
in the marketplace but in court.
REFERENCES
Bessen, James. 2003. “Patent
Thickets: Strategic Patenting of Complex Technologies,”
Research on Innovation Working Paper.
Bessen, James and Robert M. Hunt.
2004. “The Software Patent Experiment,” Federal
Reserve Bank of Philadelphia Business Review, 3rd
Quarter.
* The views expressed here are those
of the author and do not necessarily represent the views of the
Federal Reserve Bank of Philadelphia or the Federal Reserve
System.
[1]
The authors also compare their definition and method to others
found in the literature.
[2]
This approach is equivalent to estimating changes in a firm’s
demand for inputs (in this case for R&D) induced by changes
in their price, including the relative cost of obtaining software
patents.
[3]
For a theoretical model of such behavior, see Jim Bessen’s
2003 working paper.
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