Unsurprisingly, I was not alone in feeling a tad
sceptical about this conclusion:
“Basically,
BDUK has been getting a lot of flak and bad press…so the DCMS thought they best
pay someone to write a nice report bigging up how much its broadband investment
is going to bolster the economy”. (Computer Weekly)
“The government, perhaps keen to cut
through all the negative press, commissioned its UK Broadband Impact Study in what appears to be a vain attempt to search
for some good news about BDUK”. (The Register)
Within the Report itself, however,
SQW appear to be refreshingly honest about its findings:
“While recognising that there are still
gaps in the empirical evidence base, and that the future is inherently
uncertain, the study’s projections are the outputs from a rigorous and detailed
analysis which draws on the best data currently available”.
I
was intrigued by that phrase, the ‘gaps in the empirical evidence base’, but it
seems to stem largely from the Report’s later admission that: “The productivity impacts of increased speeds
are, as yet, highly uncertain.” In fact, given the relatively recent
introduction of high-speed broadband, SQW have had to invoke a labyrinth of
tortuous logic and heroic assumptions to arrive at their central conclusion
that: ‘an increase of 100% in the used
speed in a year will lead to a 0.3% uplift in productivity over the following three year period’.
This
sounds like a risky finding but, guess what…?
“It also aligns…with research by Chalmers
University of Technology, which found that a doubling of speed in OECD
countries is associated with a 0.3 percentage point increase in GDP growth”. What a coincidence!
It
turns out that the ‘research’ in question by Chalmers University (who??) consists
of an econometric analysis of the past relationship between broadband speed and
GDP growth in a sample of OECD countries.
A closer look at that analysis reveals this cautionary note from the
authors:
“This
study concludes that the hypothetical impact of broadband speed on economic
growth is statistically significant…. As the impact is modelled as linear, it
needs to be judiciously applied when hypothetical country growth is far away
from the sample means. The hypothetical
impact is based on an elasticity measurement and any forward-looking simulation
should be applied with care “.
In other words, the
past relationship established for this data set may not apply in the future for
a different group…. As expected, therefore, take the ‘good news’ from DCMS with
a pinch of salt.
No comments:
Post a Comment