What does it say? Here is a quote
The report highlights universities’ increasingly significant impact
on the economy in terms of output, contribution to GDP, job creation,
and overseas investment. It also estimates the economic activity
generated elsewhere in the economy through the knock-on effects of
expenditure by universities, their staff, and international students.
The report finds that in 2011–12, the UK higher education sector:
• generated over £73 billion of output – up 24% from £59 billion in 2009
• contributed 2.8% of UK GDP in 2011 – up from 2.3% in 2007
• generated 2.7% of all UK employment and 757,268 full-time-equivalent jobs
• generated £10.7 billion of export earnings for the UK
In the report, P.4 we have some multiplier or rate of return type calculations
For every 100 full-time jobs within the universities themselves, another 117 full-time-equivalent jobs
were generated through knock-on effects. 373,794 full-time-equivalent jobs in other sectors of the
UK economy were dependent on the expenditure of the universities.
• For every £1 million of university
output a further £1.35 million of output was generated in other
sectors of the economy. This meant that anadditional £37.63 billion of output was generated
outside the universities as a result of theirexpenditure.
•For every £1 million of university GVA a further £1.03million of GVA was generated in other industries.
And this enables the website to say
Universities generate more GDP per unit of expenditure than other sectors including health, public administration and construction
What was done to get these estimates? P.6 says
The model used was a purpose designed and specially constructed ‘type II’ input-output model
based on actual UK data derived from the Office forNational Statistics’ input-output tables together with
data from its Blue Book.
And this is in fact a method which is widely used in many other studies, e.g. the impact of tourism.
I would think that most economists don't know anything about this method, despite it using Economic data and answering an economic question. And you never read this kind of thing in reputable economics journals. Indeed, in a review of the method,
Siegfried et al say,
The Economic Impact of Colleges and Universities, that this kind of work is damaging to universities
"If these economic impact studies were conducted at the level of accuracy
most institutions require of faculty research, their claims of local
economic benefits would not be so preposterous, and, as a result, trust
in and respect for higher education officials would be enhanced."
So what is going on? Siegfried et al have a very good review, which I try to outline here.
1. The basic method in this work uses input/output tables. All statistical agencies produce such tables. Suppose the economy consist of dairy farmers, milk bottlers and opera singers. An input/output table describes the inputs and outputs of industries and products, so for example, the farmers produce milk, which is an input to the bottlers, who then sell to the opera singers. At the same time, farmers like opera, so the output of the opera industry is an input into farming. Such a method can therefore tell you the payment flows between sectors. (Wonkish note: such data depends on detailed purchase information, current UK tables use purchase data from 2004).
2. Does this answer the question "what is the Impact of Opera Singing on the Economy"? In a some sense it does. The farmers want to listen to opera and so that is a first pass estimate of the impact on the economy. But the opera input into farming is then an indirect input into bottling. So one can calculate the indirect contributions as well.
3. So this is commonly how the impact of universities or football stadia or making movies is calculated. The university is in location X. Students pay £100 to attend. The university buys £20 of goods and employs £80 worth of workers, say 80 workers. P.15 of the UK report therefore sets out primary and secondary or "knock-on" effects.
- The primary effect is the university spending and employment itself, (here £100 and 80 workers), the actual UK figure being £26.68bn in 2011-2.
- the secondary effect is two types which the report calls
- indirect effects: purchasing of goods and services by the university who then buy from others e.g. buying paper, but the paper industry then buys machines etc.
- induced effects: the 80 workers buy goods, which then employs other workers etc. e.g. if a worker buys a bottle of milk, this supports farmers and opera singers via the input/output relations set out above).
This is how the report can claim that (p.16)
"Universities spent some £26.68 billion in 2011–12. This expenditure generated £37.63 billion of output in other UK industries"
4. All this sounds very plausible. However, but a moment's thought will show that falls prey to a key objection: what is the counterfactual? Whilst this sounds abstract it is important. As Siefried et al say
The key question posed in studies designed to measure the local impact of a
college is how much better off are area residents with the institution there than they
would be in its absence. “Better off” is usually defined as higher employment, per capita
income or local tax revenue. Both common sense and standard regional economic
analysis say the proper procedure is to compare economic indicators in the presence of
the institution with predictions of those same indicators “but for” the college – that is,
compare actual to “counterfactual” outcomes.
They continue with a key point
From this perspective that portion of an institution’s economic activity that would remain in the local area even if the institution were not there is not a contribution to the local economy. Few studies of the local economic impact of colleges and universities explicitly articulate such a counterfactual.
Take then the contribution of college X in London. It employs, say Y cleaners. Is the contribution to include those cleaners? The correct counterfactual is to ask "would those cleaners be employed without college X?" Or take students. The correct counterfactual is to ask "would students be students without college X?" If the answer is that cleaners would anyway be cleaners and students anyway students, then the college is making no
additional contribution.
Or, take a university hospital. Without the university, would there be no hospital?
So, the method in principle traces through the network of payments currently existing (if the data are correct etc. etc. ). But if the question is: what would those payments be
if the university did not exist, the method cannot answer that without additional assumptions.
5. Let us make an assumption then. In an economy operating at full employment we might then, on this measure, score the university
additional contribution, that is, the contribution relative to its not being there, as, well, zero. Sure the university buys cleaning services, books and electricity (who then spend out of their sectors). But if it were not there then in a full employment economy by assumption cleaners, books and electricity would be bought anyway.
6. Even if one wants to use the input/output method, Siegfried have some very useful points (suppose you think about a rural university, which if disappeared, would not be replaced).
- studies often count spending by students and also the college. Be careful of double counting. When a student spends on fees that then leads to spending by the college, so counting both is wrong (counting a student spend on haircuts is ok)
- be careful if a student would have gone elsewhere in the area. The additional contribution to London of a university in London should not include a student who would have gone to another college in London.
- In practice many University hospitals spending dominates spend. These should not be included. They say "
The revenues and expenditures of university hospitals usually dwarf the rest of the institution. Seldom
do medical center expenditures contribute much to local economic development, however. Teaching
hospitals usually are surrounded by other acute care medical facilities. In such circumstances, were the
university hospital to evaporate, most of the medical services provided by it would be assumed by other
local hospitals. Only patients with specialized medical problems would likely turn to hospitals outside the
area. Thus, most university hospital expenditures should not be included in the first-round of expenditures,
perhaps an exception being isolated university hospitals that serve broad geographic areas in the plains and
mountain states".
7. Note that ascribing benefits of educated workers, which is often done, is not clear either. Educated workers get some of the benefits from themselves in terms of higher earnings, but they might move from the area and might be in the area anyway even if there was no college (and such local benefits might just be capitalised in local house prices). If there are spillover benefits to lower crime etc. that might be included however, again, as long as those graduates would not have been in the area.
8. Finally, a note from my time at the Treasury. One week an official might get this kind of report, suggesting universities support 10% of GDP. Next week, movies support 15% of GDP and the following week the car industry supports 25% of GDP. Pretty soon, these reports account for 150% of GDP. This tells you there is a fallacy of composition, which is again a consequence of the counterfactual: all these reports typically assume that particular industry in question would not exist at all and no other indirect effects would occur. So reports like this will not convince officials in the Treasury at least.
These are the main objections to these types of methods and suggest different methods might be used that properly show the
additional contributions. One such is the point that university knowledge spillovers to firms are often local and specific to the university:
our work on spillovers from the science base for example.
