MEMORANDA
Memorandum by The Institution of Economic
Development (RRD 01)
1. The Institution of Economic Development
(IED) is the UK's leading professional body of economic development
practitioners, with a remit to represent the professional interests
of its members and to advance the practice of local and regional
development. To this end, inter alia, it accredits post-graduate
UK university qualifications in economic development, organises
seminars and conferences, and publishes guidance on economic development
practice. We welcome the ODPM Committee's Inquiry into ways of
reducing UK regional disparities in prosperity, since such matters
lie at the centre of our membership's responsibilities.
2. We restrict our observations to certain
points of specific concern to our membership, in the belief that
the Committee will receive submissions from others covering the
full range of policy and practice issues that have a bearing on
its Inquiry. Our points focus on the measurement of regional disparities,
and more specifically the triggers/indicators applied to determine
eligibility for national and EU regional development assistance.
We obviously have an opinion as to the direction that regional
initiatives are taking within the UK at present, and we offer
some views on this in passing. However, as practitioners our members
are especially concerned with ensuring that whatever spatial initiatives
are agreed, their implementation is effective, and that the criteria
for eligibility are fair and transparent and serve the ends to
which they are intended. In this respect, our experience as recounted
below suggests that there are significant limitations in the indicators
currently applied to identify spatial disparities in economic
performance within the UK. These indicators are used by policy
makers to identify the nature and degree of regional disparities
in prosperity; to determine eligibility for assistance to overcome
such disparities and the overall level of such assistance to be
provided; and to assess the effectiveness of measures to this
end. So weaknesses at this level are sufficient to undermine the
delivery of policy initiatives, however well-founded the policies
themselves may be in theory.
3. The two criteria generally accepted as
indicators of spatial economic disparities are unemployment rates
and gross domestic product (GDP) per head. The former provides
the key trigger for eligibility for UK Regional Selective Assistance
(RSA); the latter for determination of regional assistance under
Objective 1 of the EU Structural Funds. For Objective 2, as with
RSA, the principal emphasis is currently on rates of unemployment.
Regional development agencies (RDAs) in the devolved territorial
administrations and in England also have access to a host of supplementary
spatially targeted programmes, a major factor in determining their
eligibility for which is need as assessed under one or both of
these indicators.
4. Unemployment rate indicators:
There is growing concern amongst practitioners about the validity
of using UK spatial comparisons of unemployment rates for the
purposes of identifying variations in regional performance, for
determining eligibility for regional aid, and for monitoring and
evaluating the effectiveness of outcomes. Issues include the methods
of establishing appropriate local labour market boundaries on
which to calculate conceptually valid unemployment rates, which
considerably delayed the revision of Travel-to-Work Areas following
the 1991 Population Census. Of particular concern to the IED is
the growing evidence that, regardless of the boundaries chosen,
neither the claimant count nor the ILO measure of unemployment
provides a satisfactory indicator of the state of regional labour
markets nor, in consequence, of the degree of regional disparity
within the UK, and the urgency of the need to address it. National
initiatives to address labour market problems, such as New Deal,
themselves affect the calculations of rates of unemployment, without
immediately tackling the underlying imbalances in local and regional
labour markets. Moreover, the claimant count (and to a lesser
degree the ILO measure) does not capture those members of a local
or regional labour force who move into and out of work without
registering for benefit, those members who could work but are
discouraged because of the current conditions of their local or
regional labour market, or those who find it expedient to avail
themselves of sickness and disability benefits or early retirement
rather than search for work.
5. By stating that the current unemployment
indicators are inadequate, we reject the notion that those who
are not counted because they are considered economically "inactive"
are in some way "playing the system". Their withdrawal
is a logical reaction to weak market conditions for their services:
where labour market conditions are tight similarly placed people
are far more likely to accept employment. Such withdrawals from
the labour market now increasingly cloud the picture of regional
disparities provided by unemployment rate indicators, and in the
process mask the extent to which such disparities exist and require
attention. This is because the numbers who withdraw from the labour
market are far greater in those parts of the UK that continue
to suffer from structural readjustment problems, following the
collapse of their local economic base. Leading authorities on
such matters have recently provided extensive and detailed evidence
(Beatty et al, 2002) of the extent to which withdrawals
from the labour market under adverse economic conditions compress
conventionally measured spatial unemployment rate differentials.
Table 1 is taken from this source and focuses on the standard
UK regions.
6. The adjustments to the claimant count
required to reflect a definition of unemployment that includes
"those who might reasonably be expected to have been in work
in a fully-employed economy" (Beatty et al, 2002,
p.28) indicate the extent to which current conventional measures
of unemployment are grossly understating the degree of spatial
variation in labour market conditionsand hence prosperitywithin
the UK. The use of a measurethe claimant countto
determine the degree to which such disparities exist is largely
self-defeating because the indicator itself contains significant
elements of "negative feedback": the capacity of the
labour force to respond to variations in local and regional conditions
through differential levels of labour market participation.
TABLE 1
UNEMPLOYMENT PERCENTAGE RATES BY REGION,
JANUARY 2002 (Beatty et al, 2002, p.23)
| Claimant Count
| Real Unemployment* |
| North East | 5.6 | 15.6
|
| Wales | 4.0 | 13.5
|
| Scotland | 4.6 | 13.5
|
| North West | 4.1 | 12.4
|
| London | 4.5 | 10.2
|
| West Midlands | 3.9 | 10.2
|
| Yorkshire and Humber | 4.0 |
9.8 |
| East Midlands | 3.2 | 8.8
|
| South West | 2.3 | 6.4
|
| Eastern | 2.2 | 6.0
|
| South East | 1.8 | 4.9
|
| Great Britain | 3.5 | 9.5
|
*includes extra ILO unemployed, government schemes, excess
sickness claimants and early retired
7. From the viewpoint of the economic development practitioner,
reliance on an indicator subject to such negative feedback to
trigger eligibility for regional aid in tackling spatial differentials,
or to assess the effectiveness of such measures in doing so, is
inappropriate and inequitable. The implications for regional policy
of the presence of real spatial variations in regional labour
market conditions that greater exceed those revealed by traditional
claimant counts should be self-evident. Without attempting to
develop this point further, the true extent of such regional differentials
helps explain spatial variations in the success rates of various
national training and regeneration initiatives that an analysis
based on the much narrower variations in regional claimant counts
cannot begin to address.
8. GDP per head indicators: These are favoured
in the disbursement of regional assistance through the EU largely
because of the issues considered above. The use of this measure,
or related ones such as Gross Value Added (GVA) per head, is likely
to become as central to the monitoring of development strategies
in the English RDAs, as it has long been for the equivalent devolved
territorial RDAs. GDP per head relates to the whole residential
population of a region, so when used appropriately as an indicator
it is not affected by the negative feedback attached to the claimant
count. Elements of the same problem are, however, present when
this measure is used as a proxy for differences in regional productivity.
GDP per head merely relates an area's residential population to
the annual value of its sales of goods and services. Clearly,
those areas with high levels of real unemployment that reflect
a weak labour market and a struggling economic base will also
have lower GDP, since they are not operating at anything approaching
full capacity. Under these circumstances, attempts to use this
measure as an indicator of spatial variations in productivity
are inappropriate. To identify such variations in productivity,
an area's output should be related not to its total residential
population, but to those in work: spatial productivity differentials
should be measured in terms of output per worker. Failure to observe
this distinction will lead to regions with low workforce activity
rates being categorised as suffering, incorrectly, from low productivity
rather than under-utilisation of their capacity.
9. In considering the next round of EU regional policy,
the Alliance for Regional Aid has made a case (ARA, 2002) for
retaining the 75% threshold trigger for Objective 1 EU eligibility
(focused on lagging regions), as determined by comparing a NUTS
2 EU region's GDP per head with the EU mean. The Alliance then
goes on to argue that the present spatial targeting for Objective
2 assistance (currently aimed at the conversion of regions facing
difficulties) should not be abandoned when a new round is established
in 2007 by a reversion to EU-wide eligibility as is currently
the case for Objective 3 assistance. ARA's reasoning is based
on its belief that disparities in economic performance amongst
EU regions no longer eligible for Objective 1 assistance will
remain marked and will still need to be addressed through spatial
policy instruments, a contention to which the IED would lend its
support.
10. Moreover, there is solid evidence that, in the UK
at least, regional disparities have their origins as much in deficiencies
in spatial demand as in supply side constraints. A recent Regional
Studies Association (RSA) report (WPREP, 2001) argues cogently
that policies to stimulate enterprise and expansion across all
UK regions through a knowledge and skills based promotion of innovative
high-tech regional clusters cannot by themselves tackle those
aspects of regional disparities in prosperity that are due to
inadequate demand for labour in under-performing regions. Before
such growth stimuli can adequately impact on lagging regional
economies, they will be dampened by tight labour market conditions
in leading regions, unless the Government acknowledges "the
need for stronger discriminatory measures to encourage development
specifically in lagging regions" (WPREP, 2001, p.2).
11. The IED has no problem with the RSA's conclusion
that a boost to current levels of UK spatial assistance targeted
at the poorest regions is required. Nevertheless, this begs the
question of how to determine which regions are sufficiently lagging
to deserve additional discriminatory spatial assistance. Our confidence
in the use of GDP per head as an appropriate indicator in this
respect has been shaken by the results of the latest revisions
to regional GDP estimates for the past decade recently undertaken
by the ONS. As with claimant rates, these major revisions have
revealed a far greater degree of disparity in regional GDP per
head amongst UK regions than has hitherto been supposed. The revisions,
while reinforcing the extent to which poorer regions lag behind
the South East, have also highlighted the anomalous situation
in which those parts of the UK dependent on such a trigger for
regional assistance can find themselves. For example, the Scottish
Highlands and Islands lost its Objective 1 status in the current
round of EU funding because under the unrevised ONS data it appeared
to have failed the 75% EU GDP per head threshold. However, on
the revised data it now appears that there was a good case for
the Highlands and Islands retaining their Objective 1 status for
the current funding round. Since the transitional funding made
available to this region will disappear after 2006, the loss of
eligibility triggered by statistical legerdemain is not a trivial
issue, and it will be heightened by the almost certain loss of
Objective 1 status for the remaining UK regions in 2007, as a
consequence of the accession of New Members.
12. The current UK emphasis on individual employability
and a bottom-up partnership approach to regional renewal as the
strategy appropriate for all UK regions appears to be largely
founded on a questionable belief that each region contains within
its boundaries sufficient capacity to respond to appropriate supply-side
stimuli without additional targeted EU and national demand stimuli
to promote development in lagging regions. For reasons already
indicated, we do not share what is claimed by WPREP (2001) to
be the "Government's implicit view... that regional disparities
are now very much a secondary issue compared with the need to
boost national economic performance" (p.7). The IED believes
that the failure of the standard indicators of regional disparities
to reveal the true extent of variations in spatial prosperity
within the UK has contributed to a significant extent to this
mistaken view, and to the under-funding of development programmes
in lagging regions required to compensate for the lopsided spatial
growth of the UK economy.
13. This leads us to conclude that your Inquiry should
recognise that regional convergence requires a more pro-active
pursuit of strategies favouring lagging UK regions, and one that
entails the allocation of additional resources to this end. At
present, despite the additionality rules governing the disbursement
of EU Structural Funds assistance, there is some basis for arguing
that UK national spending on regional aid has been allowed to
decline as EU funding has grown. In any event, as Table 2 indicates,
there is no dispute that, in the face of majorand growinglevels
of regional disparity, the UK currently spends far less on regional
aid than most other EU Member States.
TABLE 2
SPENDING BY EU MEMBER STATES ON REGIONAL AID*, 1996-98
(WPREP, 2001, p.18)
INDEX OF RELATIVE EXPENDITURE (EU AVERAGE PER HEAD = 100)
| Italy | 222 |
| Germany | 190 |
| Luxembourg | 151 |
| Ireland | 124 |
| Greece | 111 |
| France | 61 |
| Belgium | 47 |
| Sweden | 44 |
| Austria | 35 |
| United Kingdom | 30 |
| Finland | 26 |
| Spain | 13 |
| Netherlands | 10 |
| Portugal | 7 |
| Denmark | 4 |
| *total state aids in support of regions under Articles 87(3)(a) and 87(3)(c)
| |
14. The IED therefore supports proposals made by The
Alliance for Regional Aid that a new Objective 2 scheme of targeted
EU assistance should come into operation after 2006 utilising
the principle of "indirect zoning". This entails the
allocation by the Commission of a level of population coverage
to each Member State and a list of identified themes to be targeted.
Given appropriate parameters on the size of targeted areas, national
governments could then be given the freedom to draw their own
eligibility maps for targeting regional aid to under-performing
areas. With such a scheme in operation, the IED hopes that the
overall sums made available under regional aid to UK regions would
increase, despite the accession of new Member States making major
demands on regional assistance. The increase could be achieved
by a combination of transfers from other EU programmes, such as
the CAP, in the form of modulation and decoupling, and by additional
injections from the UK government. Through these means, enhanced
programmes of UK regional aid would be specifically targeted at
policy measures designed to address the issues affecting under-performing
regions rather than spread thinly across all parts of the UK.
15. Lastly, we urge that the criteria for eligibility
under such a scheme should involve agreement on clear and transparent
indicators established in consultation with territorial administrations,
and with regional and local authorities, giving adequate attention
to the concerns held by economic development practitioners on
the operation of current tests of eligibility. We concur with
the Alliance that, if accurately calculated, GDP per head is the
fairest and most transparent way to assess eligibility for a new
Objective 2 programme, into which an enhanced UK budget for regional
selective assistance could be integrated. This would allow UK
current and transitional Objective 1 areas to be offered the necessary
degree of targeted support when their eligibility for any EU targeted
aid under this heading disappears in 2007.
Tony Jackson
Chair, on behalf of the National Council of the Institution of
Economic Development,
January 2003
REFERENCES:
ARA (2002) The next round of EU regional policy: a road map
for Britain Barnsley, The Alliance for Regional Aid
Beatty C, Fothergill S, Gore T, Green A (2002) The real level
of unemployment 2002 Sheffield, Centre for Regional Economic and
Social Research, Sheffield Hallam University
WPREP (2001) Labour's new regional policy: an assessment
Sussex, Regional Studies Association Working Party on Regional
Economic Policy
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