I don't want to engage the argument between Sally Morris and
John
Houghton, but I do want to point out an error of fact in one
of
Houghton's sources. Houghton quotes Chris Anderson's The
Long
Tail (not a very good book, by the way: read it and see) to
this
effect: " 'if the Amazon statistics are any guide, the
market
for books that are not even sold in the average bookstore is
larger than the market for those that are.'" This is
simply
wrong.
Amazon's statistics are not a guide. It is apparently true
that
Amazon's sales come predominantly from "long tail"
titles, but
Amazon has enormous market share for those titles--for some
titles that share is 100%. For better-selling titles (the
130,000 Houghton cites, though a figure a third of that
would
make more sense, if the aim is to reflect the realities of
bricks-and-mortar bookselling) the share is distributed
across
thousands of booksellers. The market for books outside the
top
130,000 is decidedly not bigger than that for the 130,000.
To the extent that Houghton's argument is propped up by
Anderson's authority, it has to be said that Houghton's
thesis is
unproven.
Joe Esposito
----- Original Message -----
From: "John Houghton" <John.Houghton vu.edu.au>
To: <liblicense-l lists.yale.edu>
Sent: Thursday, January 25, 2007 4:15 PM
Subject: Re: Decision making by Libraries on serials and
monographs and
useage (re puzzled by self-archiving thread)
> Sally Morris wrote:
>
>> I am no economist so my questions are common-sense
ones (I think)
>>
>> Increasing access I can understand in principle -
but how does
>> one increase 'efficiency'(as an input)? Your most
prominent
>> definitions of 'efficiency' are related to
'relevance' and I
>> really don't see how that could be increased.
Wouldn't the
>> arguments be more convincing if one looked at the
increase in
>> just one variable, anyway?
>
> As noted before, efficiency is used in two related
senses: the
> usefulness/use of the knowledge created by R&D and
the
> efficiency of the conduct of R&D. In the report
(pp31-34 and
> Appendix II) we outline some of the potential impacts
of
> enhanced access, including a range of ways in which the
> efficiency of research might be increased (e.g.
increased speed
> of discovery, reduction of duplicative research, etc.)
and its
> use might be extended (e.g. enhanced access to
industry,
> government and society, the emergence of new industries
such as
> weather derivatives, etc.). These are discussed in the
context
> of developing an "impacts framework" that
focuses on the issues
> of access, use and efficiency. As for treating access
and
> efficiency separately: its an option, but we thought
that
> access, use and efficiency of R&D were likely to
positively be
> related... for all the reasons outlined in the
literature
> review in Appendix II.
>
>> As to the one-to-one relationship between a given
percentage
>> of increased access (or anything else) and
increased benefit -
>> could you clarify that? I'm not assuming that most
users have
>> access already - just that those who do are likely
to be those
>> most able to benefit, and that ability to benefit
will decline
>> as access increases. The same would go for any
impact on the
>> efficiency of the users' own research.
>>
>> To a simple non-economist like me, it all seems to
rest on
>> huge and rather implausible assumptions...
>
> I'm not sure we are making any assumptions. The
estimates are
> presented in the form: IF... THEN... Obviously, the
things
> following the IF are the variables. We are simply
putting
> forward range estimates of the possible impacts on
social
> returns to R&D, and based on a literature review we
use
> plausible ranges of social returns from 25% to 75% and
1% to
> 10% increases in access and efficiency (the thinking
behind
> which we discussed in the last message). Purely for the
> purposes of discussion we then use examples based on a
25% rate
> of return to R&D and 5% increase in access and
efficiency.
>
> As noted before, we use average rates of return because
we are
> not changing the level of R&D expenditure. The
extent to which
> there may be diminishing marginal returns to access
depends on
> how far we are from optimal access at the moment. In
his
> discussion of the "long tail", Anderson noted
that:
>
> /"What's really amazing about the Long Tail is the
sheer size
> of it... Take books: The average Barnes & Noble
carries 130,000
> titles. Yet more than half of Amazon's book sales come
from
> //outside// its top 130,000 titles. [so].. if the
Amazon
> statistics are any guide, the market for books that are
not
> even sold in the average bookstore is larger than the
market
> for those that are. In other words, the potential book
market
> may be twice as big as it appears to be, if only we can
get
> over the economics of scarcity./"
>
> As also noted before, the evidence from the Open
Citation
> Project and from OA repository download statistics
suggests
> that there is much more reading/use with OA... perhaps,
when
> one adds zero pricing (to the user), there may be a
scholarly
> publishing long tail. If the market that isn't reached
is
> bigger than that which is, and its been reported that
OA
> articles get 2-5 times the citations, suggesting that
use by
> researchers alone may increase by 100% to 400%, then
the
> difference between average and marginal returns is
unlikely to
> be large - be they increasing or diminishing.
>
> Regards,
> John Houghton
>
> --
> Centre for Strategic Economic Studies (CSES), Victoria
University
> VoIP: (FireFly) 88207699 (Skype) John.Houghton
> E-mail: john.houghton pobox.com
> Web: www.pobox.com/~houghton
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