Available via license: CC BY 4.0
Content may be subject to copyright.
Contents lists available at ScienceDirect
Electoral Studies
journal homepage: www.elsevier.com/locate/electstud
‘Left behind’people, or places? The role of local economies in perceived
community representation
Lawrence McKay
Department of Politics, School of Social Sciences, Arthur Lewis Building, University of Manchester, Manchester, M13 9PL, UK
ARTICLE INFO
Keywords:
Local economy
Left behind
Community
Political representation
Political discontent
ABSTRACT
Modern economics attributes importance to spatial inequality: yet in studying discontent with politics, existing
research has mostly neglected local contexts and attitudes people hold about them. I use British Election Study
data to investigate the factors leading people to believe their community is ignored by the political process.
Firstly, real economic contexts play a role, since residents of low-income communities tend to take more negative
views about how well their community is represented. Secondly, negative perceptions of the local economy are
associated with more negative views of community representation, whereas equivalent ‘egotropic’measures of
people's personal economic situation have no such effect. Thirdly, I observe a ‘grievance’effect wherein people
are particularly negative about community representation when they believe that the national economy is more
successful than that of one's local community.
1. Introduction
Since the Brexit vote in the United Kingdom, the notion of political
discontent reflecting geographic divisions has found a degree of favour
within the discipline of political science. Coyle and Ford (2017, p. 67),
in their account of Brexit, argue that political ‘alienation’has become
entrenched in ‘left behind’areas since the 1980s, due to the fraying of
the ‘economic and social fabric’and the failure of successive govern-
ments to reverse this decline. Specifically, they argue for ‘the devolved
nations and England outside of the southeast’as being the locus of
discontent –identifying regional divisions as the wellspring of political
anger. However, while this paper argues that this perspective has real
value, the geographic account as it exists at present requires further
explanation, examination and refinement.
The sole existing test of this thesis has been conducted by Jennings
et al (2016). They looked at two types of area, ‘cosmopolitan’and
‘backwater’, which they defined as having different levels of ‘access’to
high-skilled jobs and ‘connectedness’to the global economy. Looking at
fifty Parliamentary constituencies for each, they found that ‘back-
waters’were ‘more inward-looking, illiberal, negative about the EU and
immigration, nostalgic and more English in their identity’(p. 372).
However, such differences did not extend to ‘expressions of anti-poli-
tical sentiment’: from distrust in MPs and politicians, to dissatisfaction
with UK democracy, ‘both sets of populations look remarkably similar
to the average voter’(p. 376). This leads them to reject the idea that
local economies currently affect political discontent, although they do
not shut the door entirely, emphasising instead that poor areas are
nonetheless fertile for the ‘growth and spread of political disaffection’
(p.380).
This paper re-examines the fundamental question posed by Jennings
and Stoker. It does so in three ways. Firstly, there is reason to believe
that a more discriminating analysis, based on much smaller geographic
areas, may be required to properly identify the effects of economic
context. A large geographic unit such as the constituency is not the
‘context’that most people see in their day-to-day lives. Research on
economic inequalities in the United Kingdom (e.g. Dorling and
Pritchard, 2010) has emphasised the spatially concentrated nature of
disadvantage, such that the economic context of one's ‘community’may
be very different to that of one's constituency or region. Equally, nor is
it likely to be the ‘context’they consider meaningful to themselves.
Wong et al. (2018) show that the self-defined community tends to de-
note people's neighbourhoods, and the people and places they see most
frequently: consequently, its physical size is often quite small. Secondly,
the kind of attitudes which Jennings and Stoker expect to vary spatially
may in fact be ill-suited to picking up real variations in underlying
sentiment: attitudes that are more specifically about how the local
community is represented are more likely candidates. Finally, the ex-
isting analysis is subject to the typical problems of ecological inference:
properly analysing the contextual effect of local economies is of real
importance.
Drawing on an innovative method of gathering public perceptions
related to the local community embedded in a large UK-based public
https://doi.org/10.1016/j.electstud.2019.04.010
Received 5 November 2018; Received in revised form 23 April 2019; Accepted 25 April 2019
E-mail address: lawrence.mckay@manchester.ac.uk.
Electoral Studies 60 (2019) 102046
Available online 06 June 2019
0261-3794/ © 2019 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/BY/4.0/).
T
opinion survey, and integrating this with official small area economic
data, this article provides empirical evidence of the relevance of the
local, and proposes how these relationships should be conceptually
understood. It innovates in using the local community as an analytical
frame to study discontent and its causes: thus, taking up the challenge
put to the discipline by Mutz and Mondak (1997, p. 302) that we should
study how people relate to the ‘countless subnational collectives’be-
tween the individual and national. It does so both with reference to the
attitude put under the microscope, ‘perceived community representa-
tion’, and in terms of the causal theories proposed. This article finds
evidence for three distinct mechanisms driving perceived community
representation, demonstrating not just that context (real or perceived)
matters but how it matters.
Specifically, these are as follows. Firstly, real economic contexts
may also hold a degree of importance, since living in a low-income
community is associated with more negative views of ‘community re-
presentation’. Secondly, I find evidence for a basic sociotropic dynamic
at community-level: negative perceptions of the local economy are as-
sociated with more negative views of ‘community representation’.
Finally, I find negative views of ‘community representation’are asso-
ciated with ‘grievance’that one's community is perceived to be facing
worse economic conditions compared to the country at large.
2. Capturing the local in representation perceptions: introducing
‘community representation’
In order to approximate the theoretical construct at hand, I use a
dependent variable quite different from those used in the literature
relating to political discontent. The stalwarts of the discipline (external
efficacy, institutional trust, democratic satisfaction and so on) are
poorly matched to the task. A central question in this area is distin-
guishing how people view different political ‘subjects’: government
versus regime; parliament versus parties (Easton, 1975;Klingemann,
1999;Dalton, 2004;Esaiasson et al., 2015). However, scholars have
shown more limited interest in how people assess the ‘relational ele-
ment between the entity that represents and the entity that is re-
presented’(Castiglione, 2006, p.845). In order to make sense of public
attitudes to their representation, research must address how said atti-
tudes depend on what is presented as the ‘objects’:i.e., the represented
group. However, this is a component of question design that has been
given only perfunctory attention.
The issue is not confined to them, but for the sake of illustration, let
us consider the classic ‘external efficacy’items from the American
National Election Study: ‘People like me don't have any say about what
the government does', and ‘I don't think public officials care much what
people like me think’.
1
There are two main ambiguities here. Firstly, do
people bring ‘egotropic’considerations –those related to how an in-
dividual perceives their own situation - to the table, as Campbell et al.
(1954) seemed to believe? Or, alternatively, are their responses based
in perceptions of wider societal or ‘sociotropic’conditions, as Ulbig
(2008) suggests? Secondly, if their responses are sociotropic, the am-
biguities in what is meant by ‘people like me’suggests that people can
bring any one of their heterogenous identities to bear, which they in
some way sample from or weigh-up (Zaller and Feldman, 1992)ina
way that is unknowable from the researcher's point of view. The role
that local factors will play is unclear and liable to inconsistency. Fur-
thermore, the survey context may activate some of these identities
while leaving others dormant: asking dozens of questions about party
politics could make someone who, day-to-day, thinks of themselves as a
Mancunian or Londoner first-and-foremost, act as a down-the-line
partisan in their responses.
This study is the first to position ‘local community’as the ‘objects’of
representation. Specifically, the survey question used asks ‘How much
do you think the interests and views of people in your local community
are listened to when important decisions affecting them are made by
national government?’. This question, while innovative in some re-
spects, mirrors the concept of ‘perceived responsiveness’in Esaiasson
et al. (2015), developed from theoretical literature on representation. It
incorporates the insights of Hibbing and Theiss-Morse (2001), who
states that the way policies are produced matters as much (if not more)
to people than the policies themselves –giving reason to believe process
questions such as this generate responses with real affective content. It
also specifies that the decisions taken have real stakes for the local area.
Thus, negative responses are more likely to communicate something
about a failure to meet normative expectations.
2
Although the depen-
dent variable is perhaps more specific, for the purposes of this article I
will refer to this as ‘perceived community representation’.
Specifying ‘national’government is useful because it is should be
easily understood that people's views of their local government –which,
in the British context, are usually more positive than those of the central
government (Hansard Society, 2019)–are not sought here. I none-
theless acknowledge certain ambiguities in the chosen dependent
variable. It may be that the concept of perceived ‘community re-
presentation’, as expressed through this variable, captures attitudes to
both elected government officials and unelected officials such as civil
servants. Scholars have noted that senior civil servants are increasingly
part of the ‘public face’of government in the UK and are sometimes
drawn into effective advocacy for it (e.g. Grube, 2015). It is not un-
desirable if attitudes to non-elected officials are captured, however, as
some (e.g. Jones and Stewart, 2012) have argued that Britain's central
civil servants are to some extent responsible for the degree of respon-
siveness to local need (and why it is often lacking, as they are accused
of operating a system of ‘command and control’over local government).
A more genuine challenge in using this variable is that it is not entirely
clear whether it refers to ‘specific’or ‘diffuse’evaluations: a negative
response about representation by ‘national government’could con-
ceivably capture attitudes both towards the incumbent, and a general
sense of a remote, uncaring state ‘regime’. Because I am more interested
in understanding the roots of the latter than the former, I control for
government approval, which implies that the remaining variance to be
explained refers to a more ‘diffuse’attitude.
In short, perceived ‘community representation’builds on existing
literature while incorporating an original focus on community. It refers
to perceived responsiveness in the policy process to local people by
central government actors, potentially non-elected as well as elected.
Where there are undesirable ambiguities in the question wording, these
are addressed where possible by decisions around modelling and con-
trols.
3. Bringing geography in
The United Kingdom is an appropriate test-case for the effects of
spatial inequalities. The UK is among the top ten OECD countries for
inter-region gaps in disposable income (McCann, 2016). Long-term
processes, related to the legacy of deindustrialisation and the increased
importance of property wealth, are compounded by shorter-term effects
brought on by the Great Recession of the late 2000s and early 2010s.
For instance, Forth finds that in the period between 2007 and 2011, the
decline experienced by the economy of South Yorkshire (as measured
by GDP per capita) was almost as large as that of Greece; and it has
since experienced very little of the return to growth found in areas such
1
In the British Election Studies, these questions are adapted by changing the
subject, but not the object: for instance, successive iterations have asked re-
spondents to indicate their agreement with the statement that ‘politicians don't
care about people like me’.
2
Although we do not know precisely where people's expectations lie, this is
also an issue that affects most research on external efficacy, perceived re-
sponsiveness and so on.
L. McKay Electoral Studies 60 (2019) 102046
2
as London (Forth, 2017). Wealth inequalities between areas are even
more stark: as of 2013, in Kensington and Chelsea, the unitary authority
in the UK with the highest property prices, these were nearly twenty
times those seen in Blaenau and Gwent (Savage, 2015). It is recognised
that these divergent economic outcomes have broader social impacts:
Buchan et al. (2017) find compelling evidence of the North-South di-
vide in a large and widening gap in early mortality since 1995. Surveys
suggest public awareness of the regional dimension of UK inequalities:
in a 2014 survey, nearly half of respondents agreed that ‘Britain's
economy is more regionally divided than it was 30 years ago’(Johnson,
2015).
Yet the focus on inequality as a regional phenomenon may obscure
how spatially concentrated disadvantage is in the United Kingdom.
While it is generally the case that the North is home to most of the UK's
poorest areas, the most deprived place in England is the Essex seaside
village of Jaywick (Gill, 2016): parts of Thanet in Kent and Great
Yarmouth in Norfolk join it in the top twenty. It is not merely that a
large or well-populated area can have its outliers, but also that, in many
such areas, there is no ‘normal’:asDorling and Pritchard (2010) put it,
‘poverty and wealth are fractal in their geographies’(p. 90). At the level
of Lower Super Output Areas (LSOAs), a small statistical area com-
prising around 1–3000 residents, areas in Glasgow, Liverpool and
Manchester at the 5th decile of deprivation are on average bordered by
at least one LSOA where 35% of people are income deprived and one
LSOA where just 10% of people are income deprived. In the city of
Glasgow, even areas with the least deprivation are on average bordered
by at least one area where 30% of people are income deprived
(Livingston et al., 2013). The extent of concentration means that, to
explore the effects of people's lived reality, economic context should be
considered in a more localised fashion than has so far been utilised in
research into discontent.
However, it remains to be demonstrated what the relevance of local
conditions really is. Why is it that people should care about community
conditions, rather than merely their personal situation? Do community
conditions matter only in an absolute sense, or is the perception that
one's area is being ‘left behind’(by the country at large) also important?
In the following sections, these questions shall be addressed by re-
thinking the existing literature on discontent that addresses economic
factors. Since I have no strong theoretical priors about which ‘dis-
content’attitudes perceived community representation is most related
to, I draw from the literature liberally: while I recognise that there are
important differences between (for instance) the literatures on trust,
democratic satisfaction and external efficacy, these may all give useful
guidance as to how local factors may function.
4. Three theories of the economy and community representation
4.1. Resource effects and their application to communities
In the trust literature, scholars frequently invoke ‘rational choice’
explanations (Cook and Santana, 2018), wherein trust is based on self-
interest. Such a view is echoed by Newton et al. (2018, p. 48) who state
simply that the affluent –as society's ‘winners’–should be less likely to
be dissatisfied with ‘social arrangements that have served them well’,
and thus more likely to trust the system. For the most part, existing
studies suggest that this assumption holds.
3
In the United States, some
studies have detected income effects (Soss, 1999;Jackson, 1995),
which connected higher levels of household income to higher levels of
‘external political efficacy’(i.e. more positive views of whether politics
is responsive to people like oneself). Similarly, studies with large cross-
national data sources have demonstrated some association of higher
income with increased trust (Van Der Meer and Dekker, 2011) and
higher satisfaction with democracy (Castillo, 2006).
It is notable that income appears to have the same effects across
these different forms of political satisfaction/discontent. This is not the
case for another key ‘resource’, education, where higher education
tends to increase ‘external efficacy’, but has been found to decrease
satisfaction with democracy, in the sense of falling short of citizen ex-
pectations (Norris, 2011). As such, there may be something particular
about the experience of living on a low income that catalyses a some-
what generalised discontent with politics.
This may be derived from various sources. In part, it may stem from
inequalities of representation. Though not as comprehensively tested in
the United Kingdom, Gilens and Page (2014) have demonstrated for the
United States that ‘economic elites’and business interests have sub-
stantial impacts on government policy, while ‘average citizens’and
mass interest groups do not. Peters and Ensink (2014) show for Europe
that government welfare state effort is more responsive to the pre-
ferences of better-offgroups than to the poor, especially where their
preferences diverge most. Secondly, economic change, whereby those
on low incomes have experienced stagnating wages (Lansley, 2011),
may cause people to perceive that politicians fail to deliver for them,
regardless of policy congruence. There may be an element of social
distance from professional politicians: MPs —and cabinet ministers
even more so —are high earners by definition and so may be seen by
people on low incomes as less capable of understanding their needs.
Allen and Sarmiento-Mirwaldt (2015) find that those with incomes
below £40,000 were significantly more likely to feel a ‘discommunion
of interests’between themselves and MPs: that is, to feel that MPs were
less affected than them by economic conditions and less reliant on
public services. Finally, a phenomenon like political trust is partly
‘anticipatory’:trust is highest when one can expect the best in the future
(Scheidegger and Staerklé, 2011). Yet many people on low incomes are
never far from circumstances of real poverty and tend to face greater
challenges of employment insecurity: they may therefore have less
confidence that any success they experience will be sustained.
Although we lack evidence on the effects of low income as a con-
textual factor, it is possible that it matters at a contextual level for much
the same reasons: under-representation of the poor in policy, an ap-
parent failure of politics to deliver for the community, a social distance
from its people, and an inability to expect a good future for the com-
munity. Indeed, it may be easier for the public to diagnose systemic
failings from observing patterns of experience in their community (re-
peated job losses, business closures, homelessness, evictions and so on)
than it is for them to connect their own, limited experience to political
failure, as personal experience is often ‘compartmentalized’(Sears,
1993, p. 144) and ‘depoliticised’(Mutz, 1992).
While people will inarguably have imperfect knowledge of their
community's ‘resources’, the spatial proximity of poorer and richer
areas in the UK provides people with some means of gauging condi-
tions: most people are likely to have some yardstick for what a com-
munity that is doing well or doing badly would look like. As such, it is
likely that people have at least a broad understanding of economic
conditions in their area. The above leads to my first hypothesis.
H1. A higher average local income is associated with positive views of
community representation.
It is essential to acknowledge at this point that the take-home pay of
locals may not be the specific cause of an income effect. For the pur-
poses of this paper, any effect of income should properly be considered
as a proxy for the effect of occupying a broadly higher or lower position
in a hierarchy of local economies: that is to say, being advantaged in the
distribution of economic resources. For this reason, I refer to this ex-
planation as the community resource model of perceived community
representation.
3
See e. g. Davis and Hitt (2017) for a counter-example in the context of the
United States.
L. McKay Electoral Studies 60 (2019) 102046
3
4.2. The role of ‘sociotropic’perceptions and why the local should matter
While the processes I investigate here should not be devoid of a
material foundation, how individuals perceive their world is crucial.
Perhaps surprisingly, the evidence for the importance of economic
perceptions to relevant evaluations is somewhat more circumspect than
that for concrete individual ‘resources’. At the macro-level, Alesina and
Wacziarg (2000) provide a compelling explanation for the long-term
decline of trust across most nations in the developed world, arguing
that the end of the post-war years of growth and stability has led to
long-term loss of confidence in the government's ability to provide good
economic conditions, although Dalton (2016) disputes this. In cross-
sectional, individual-level studies, findings are inconsistent as to whe-
ther poor national economic perceptions are responsible for a lack of
trust (Hetherington and Rudolph, 2015): for instance, Citrin and Green
(1986) found that their influence in the USA varied dramatically across
a four-year period in the early 1980s.
While it remains an open question as to how far economic percep-
tions affect political discontent, there is a near-consensus that, if they
do, rather than ‘egotropic’evaluations –those related to how an in-
dividual perceives their own situation, it is ‘sociotropic’evaluations –
those that pertain to national economic conditions –that matter. The
public, in the view of Anderson and Mendes (2005, p. 9), ‘blame the
government less for their personal economic difficulties than for failing
to produce good economic outcomes for the country as a whole’–only
the former, they find, influences trust in government.
What is left mostly unaddressed by the literature is whether per-
ceptions of the local economy also hold any importance. However,
there is a firm theoretical foundation for this expectation. The basis for
the importance of national-level evaluations to political attitudes is
believed to be two-fold: first, it may be based on ‘pro-social’concern for
others; second, it may be based on an expectation that national con-
ditions indicate the economic risks and benefits that one can personally
expect in future (Kinder and Kiewiet, 1981, p. 132). Both, however,
indicate that perceptions of local circumstances should be of real im-
portance. The pro-social factor should be present: if anything, in-group
sentiment is likely to be stronger in the real community (populated by
people we know and care about) than in the ‘imagined community’of
the nation-state. Secondly, since people usually work close to their
home, people are likely to give some weight to local economic condi-
tions when they consider their personal prospects.
4
Beyond the theoretical, this argument is supported to some degree
by existing empirical research. Firstly, in the context of the United
States, Rogers (2014) demonstrated that ‘communotropic’economic
perceptions affected Congressional approval, controlling for both per-
sonal and national equivalents. Since Congress is a key representative
body, it is plausible that this reflects local circumstances shaping per-
ceptions of the underlying quality of representation. Secondly, scholars
in the field of electoral geography have shown that localised con-
siderations –such as views of whether one's local area has been getting
more or less prosperous than other parts of Britain –influence people's
political judgements in a UK context, namely their voters at General
Elections (Pattie and Johnston 1995,Tunstall et al., 2000,Pattie and
Johnston, 2006). Thus, localised conditions have a proven importance
in UK politics, and have been shown (albeit in a different national
context) to influence considerations connected to representation.
From this follows a basic proposition: evaluations of the re-
presentation of one's community should be influenced by so-called
‘communotropic’perceptions of the local economy (Rogers, 2014). This
general expectation takes the form of two specific hypotheses.
H2a. Negative views of recent change in the local economy are associated
with negative views of community representation.
H2b. The perception of a higher rate of unemployment in one's community is
associated with negative views of community representation.
This explanation shall henceforth be referred to as the commu-
notropic model of perceived community representation.
4.3. Distributive justice and a theory of ‘grievance’
While the communotropic dimension is likely to be a relevant one in
and of itself, it may be that its importance also derives from how the
community is seen in relation to the norm. This expectation is derived
from core principles of the ‘distributive justice’literature, particularly
the class of distributive justice theories focused on ‘fraternal’or group-
based ‘relative deprivation’,orRD(Runciman, 1966). Under principles
of distributive justice, when a group is not conferred the benefits that
accrue to ‘salient others’(Tyler and Lind, 1992, p. 122), members of
that group tend to experience a sense of grievance,which informs their
confidence in the system that is perceived as responsible for distributing
resources (in this instance, government or the political system as a
whole). As Hooghe et al. (2017) have lamented, the distributive justice
perspective is rarely applied in research on trust and, similarly, the
literature linking distributive justice to other discontent outcomes is
rather barren. However, there is a substantial body of work connecting
relative deprivation to engagement in protest (Van Zomeren et al.,
2008) and non-co-operation with authority (Verboon and Goslinga,
2009), from which feelings of discontent with authority can most likely
be inferred. Indeed, recent work by Zhang and Zhou (2018) has made
the direct connection: they show using experiments that trust in gov-
ernment mediates the effect of group-based distributive justice on non-
cooperation with authorities. It should be acknowledged that RD, as
operationalised in these studies, does not specifically refer to inter-
group comparisons, such as the ‘local-national’dynamic investigated
here. Focusing specifically on intergroup comparisons, Smith et al.
(2012, p. 216) find that across nine studies, RD was ‘solidly associated
with negative attitudes towards the larger system’, such as support for
political authorities.
Applying this basic principle to the local/national dynamic, it fol-
lows that people may be especially likely to experience discontent with
the representation of their community when they perceive the eco-
nomic situation in their local area as worse than that which exists na-
tionally. This does make an assumption that ‘national conditions’are
indeed a relevant ‘reference group’for social comparison. However, this
is also a common issue in the RD literature in general: as Budria and
Ferrer-I-Carbonell (2018, p. 10) have noted, ‘large-scale surveys do not
contain direct questions about the composition of the reference groups’.
Instead, the relevant reference group is often inferred from results
(Delhey and Kohler, 2006).
One of the necessary pre-conditions for a ‘grievance’effect is that
people actually attribute the responsibility for economic conditions to
‘politics’, in some respect. It is generally acknowledged that attributions
are ‘important determinants of judgements, decisions and behaviour’
(Ige, 2014, p. 2180). It might be argued that the attribution of re-
sponsibility for the local economy is not as clear as for the national
economy, and so they are less likely to blame the authorities. It might
also be argued that, even if both the quality of the local and national
economy were attributed to politics, people might not hold government
responsible for unequal prosperity. However, Johnston and Pattie
(2002),using the 1997 BES, show that most people (56%) do indeed
hold ‘government policies’responsible for how economic development
at the local level had compared to ‘other parts of Britain’over the
previous five years. The existence of attribution for local, national and
relative conditions suggests that the ‘grievance effect’is a plausible
result of relative deprivation perceptions.
Attribution is also relevant, in that it points towards a specific for-
mulation of this general idea. Theoretically, this is based in ‘group
4
62% of people in England and Wales work at home or under 10 km from
their home (ONS, 2014).
L. McKay Electoral Studies 60 (2019) 102046
4
justification’theory, wherein people experience a psychological need to
‘develop and maintain favourable images of one's own group’, in this
instance members of one's geographic community (Jost and Banaji,
1994). People who believe they live in a poorly-performing area, and
believe that the national situation is significantly better, might seek
external causes for the relative deprivation of their in-group, which do
not reflect on the qualities of local inhabitants. They may, therefore, be
more likely to understand the area's underperformance as an unjust
result of political failure. However, those who believe they live in a
high-performing area, but that the national economy is performing
poorly, may be less keen to attribute their relative ‘gratification’to
political choices that have benefited their area and its inhabitants. In
other words, people tend to blame political processes rather than credit
them, in line with the general perspective of ‘grievance asymmetry
theory’in the economic voting literature.
5
Indeed, Johnston and Pattie
(2002) found that those who perceived the local economy to have got
worse (compared to others) were substantially more likely to blame the
government for what had happened in their area: as such, it seems that
the asymmetries are likely to translate to ‘communotropic’perceptions.
Thus, the following expectation presents itself: the more negative
the view of local economic performance, the stronger the association
between positive views of the national economy and negative views of
community representation.This I shall term the grievance model of
perceived community representation. Specifically, it is represented by
the following hypotheses.
H3a. The more positive the view of the national economy, the stronger the
association between negative views of the local economy and negative views
of community representation.
H3b. The lower the estimate of national unemployment, the stronger the
association between higher estimates of local unemployment and negative
views of community representation.
5. Data and methods
5.1. Data and dependent variable
I use a merged dataset, combining survey data on respondents in
England and Wales from Wave Three of the British Election Study
Internet Panel (Fieldhouse et al., 2016:fieldwork September to October
2014) with official statistics at the Middle Super Output Area level.
Wave Three applied an innovative survey method to elicit specific re-
spondent considerations about their ‘community’. Respondents are
asked to draw on a digital map the area which they consider defines
their ‘community’, with the map initially centred on their household.
Respondents were subsequently asked ‘How much do you think the
interests and views of people in your local community are listened to
when important decisions affecting them are made by national gov-
ernment?’, rating this on a scale of 1–4 from ‘not at all’to ‘a great deal’,
along with a wider battery of questions.
Although the measure is ordinal, ordinal models violated the pro-
portional odds assumption, according to common tests (e.g. Brant,
1990), potentially creating ‘a misleading impression of how the out-
come and explanatory variables are related’(Williams, 2016). Although
certain statistical workarounds exist (such as generalised ordered lo-
gistic regression), these are cumbersome to present and often poorly
understood (Williams). As such, I chose to dichotomise the DV. How-
ever, due to the distribution of responses, standard ‘median split’
practice for dichotomisation did not offer a single logical cut-point. The
DV could be cut between ‘none at all’and ‘not very much’, or between
‘not very much’and ‘somewhat’. I chose the former. Feeling ‘not at all’
listened to is a clearer signal that a democratic expectation is being
violated than ‘not very much’and should be more clearly associated
with discontent. This is supported by the fact that ‘not very much’re-
spondents look more different to ‘not at all’respondents than they do to
‘somewhat’and ‘a great deal’respondents, in terms of their higher le-
vels of more general ‘discontent’as measured through efficacy, trust
and democratic satisfaction.
6
From the standpoint of model fit, di-
chotomising between ‘not at all’and ‘not very much’also performed
better than the alternative.
The choice of dependent variable is primarily justified on theore-
tical grounds. However, in Appendix 1, I undertake an empirical vali-
dation of the dependent variable, using EFA to test the principle that it
measures a distinctive attitude to those yielded by the existing re-
pertoire of questions (satisfaction with democracy, external efficacy,
government satisfaction, perceptions of politicians and so on). The
analysis did not yield a satisfying factor solution, but the analysis of
Squared Multiple Correlations between the items displayed very high
specific variance (Child, 2006) for the dependent variable. As Samuels
states, this is often indicative of an additional factor that requires fur-
ther items to detect in EFA. Considering this, it is unlikely that the
variable taps a more generalised discontent, and more likely that it
measures something genuinely new and distinctive.
5.2. Independent variables
The independent variables are as follows. Firstly, I model the effects
of retrospective economic perceptions, for both national and commu-
nity-related perceptions. The former is measured by asking ‘How do you
think the general economic situation in this country has changed over
the last 12 months?’. For the latter, respondents are asked ‘Thinking
about your local community, how do you think the general economic
situation has changed over the last 12 months?’. These scales are re-
versed such that higher numbers denote increasing negativity about
each kind of economic perception. For simplicity of interpretation,
these are treated as continuous in the models. Perceived unemployment
rates in one's community/the country as a whole are measured by a
question asking respondents to place a marker for each on the same
slider from zero to 100 per cent, encouraging respondents to gauge one
against the other.
In addition, objective context is measured at the Middle Super
Output Area level for England and Wales: small census areas of between
5,000 and 15,000 people. The BES offers a wide variety of potential
contextual ‘containers’, linking respondents to large Government Office
Regions, local authorities, Parliamentary constituencies, and, at the
smallest level, MSOAs. My decision to use MSOAs is informed by two
factors. Firstly, it most accurately captures the scale of objective spatial
inequalities in the United Kingdom, which are most evident the less
aggregation is undertaken. Secondly, small areas are necessary because
they most closely approximate the kinds of areas which people consider
to be their ’community’, according to prior research. Wong et al. (2018)
find that, using the mapping method replicated in the BES, Canadians'
community maps had a median area of twelve square kilometres;
MSOAs in England and Wales have a mean of twenty-one squared
kilometres in area. By comparison, the mean constituency in England
and Wales encompasses 263 square kilometres, which indicates the
utility of far more granular data.
The specific variable at MSOA-level is the median net household
income, based on model-based estimates for 2014 (Office for National
Statistics/ONS, 2016), which include all major income sources net of
various outgoings such as taxes, rates and housing costs.
5
See Mueller (1970) for the original statement of the theory.
6
For example, the mean of satisfaction with UK democracy (1–4 scale) by
levels of perceived community representation is 2.05 for ‘not at all’re-
spondents, 2.48 for ‘not very much’respondents and 2.68 for ‘somewhat’re-
spondents.
L. McKay Electoral Studies 60 (2019) 102046
5
5.3. Control variables
In all models, individual-level socio-economic controls are included,
in order to assess the presence and magnitude of their effects relative to
those deriving from local factors. The principle decision taken in this
regard was to control for household income: based on the ordinal
variable of self-reported gross annual income by income category in the
British Election Study. However, as Pickett and Pearl (2001, pp. 119-
20) have noted, ‘in studies with only a single individual-level SES
[socio-economic status] variable, the neighbourhood-level SES vari-
ables may be capturing unmeasured individual-level variation’. As such,
I also include a four-category variable for respondent qualifications,
another important component of SES, and a three-category measure of
working status (in work or study; working-age out of work; retired).
Gender, age, and marital status are included as further demographic
controls. Additionally, all models control for government approval (on
a1–4 scale), and for party identification, since the ‘winner-loser gap’in
levels of discontent is a ‘consistent and persistent’feature of public
opinion in democratic systems (Anderson et al., 2005, p. 60).
At the contextual level, I include controls measuring urban-rural
status of the community, which has been a particular concern in more
recent research. Research suggests that places outside of major cities
often perceive ‘relative social, political and economic deprivation’
(Jennings, 2017). Specifically, I use a measure of the population density
of the MSOA. While official measures of urban-rural status exist, the
number of categories is too small –failing to capture, in particular, the
differences between cities and small towns. Although a continuous
measure of population density has its weaknesses –such as failing to
identify a potential non-linear relationship whereby towns are highest
in discontent (Jennings, 2017)–it ought to suffice as a control. Indeed,
it is correlated –albeit weakly –to the measure of local incomes, such
that the denser a place is, the worse-offit is. Thus, the inclusion of this
control should aid in the measurement of the contextual effect of local
economy.
5.4. Testing against ‘cultural’factors
Drawing on the literature on radical right voting (e.g. Norris and
Inglehart, 2016), I take a particular focus on testing against ‘cultural’
factors, which constitute a plausible alternative set of influences on
perceived community representation. In practice, the cultural factors
identified by these studies usually relate to ethnic diversity, foreign-
born populations and immigration (Amengay and Stockemer, 2018). It
is possible that, as in the radical right literature, the effect of the (real or
perceived) economic context is overestimated if measurements of ‘cul-
tural’context are omitted.
The set-up of testing economic factors against cultural ones is not
intended to imply a total dichotomy between them: I acknowledge that
perceived economic and ‘cultural’context may be related, potentially
reciprocally (Lamerís et al., 2018a and 2018b). Nonetheless, it is un-
clear how strong their relationship is and how applicable the under-
lying theory is to the UK, while empirical tests suggest that in my data
there are only modest correlations between the two. These issues are
explored and tested in Appendix 2. As such, I maintain that the ap-
proach to use ‘cultural’controls is preferable, regardless of the persis-
tence of mild endogeneity concerns, given the alternate risk of omitted
variable bias.
For the models which deal with the effects of perceptions of the
local economy (i. e., the communotropic and grievance models), I use
perceived cultural contexts as the relevant controls. Specifically, these
are the respondent's estimate of the proportion of the local population
which is White, the estimated proportion of those born outside the UK,
and the respondent's perception of whether their community has be-
come more diverse (on a 1–5 scale). The last of these is of particular
utility, because the nub of the cultural explanation does not hinge on
numbers per se, but on a ‘cultural backlash’against the perceived
decline in the ‘social centrality’of white natives (Gest et al., 2017,p.
1698). Should economic perceptions still have explanatory power, we
would be in possession of genuine evidence that culture does not trump
economics in explaining why people feel their communities are poorly
represented.
For the models that test the effects of real economic contexts, I in-
clude alternative ‘real’cultural contexts. These are selected in order to
parallel the perceived cultural contexts mentioned above. I use the
percentage of the population of the MSOA in 2011 (the most recent
census year) which is non-White and non-UK born. To estimate changes
in diversity, I calculate the percentage point growth in the proportion of
non-Whites between 2001 and 2011 in the MSOA. Due to the very large
correlations between all three of these variables, separate models are
specified.
5.5. Modelling contextual effects
The models specified below are at a single-level, including those
attempting to assess contextual effects. This choice is, first and fore-
most, a consequence of the sparse data structure encountered, which
identifies 6,023 respondents in 3,526 MSOAs (for an average of 1.7
respondents per MSOA). The literature suggests that the utility of multi-
level (ML) models may be compromised at such degrees of sparseness:
for instance, Clarke and Wheaton (2007) recommends a minimum of
five observations per group for ML modelling. Furthermore, it can be
assumed that no local-level clustering (which would necessitate ML)
occurs through the data collection method, as might occur with a multi-
stage sampling method: for instance, where individuals are selected
within neighbourhoods.
Utilising single-level models does result in one important limitation,
in that it is not possible to estimate and compare the between-places
and between-individuals variance, nor is it possible to assess the degree
to which between-places variance is explained by economic context. As
such, this article makes no claims as to the extent of the importance of
context, nor whether economic context is the dominant factor in local
context.
6. Results
6.1. The effect of real conditions
In the first instance, it is crucial to understand how far attitudes vary
predictably according to real economic resources in the community –
which should serve as the most direct test of whether spatial inequality
is a genuinely important phenomenon determining how people feel
about representation. In order to test the validity of the ‘community
resource’model, I specify Models 1a-c. (Table 1).
Models 1a-c deliberately omit the local economic perceptions (of
change and unemployment), which are expected to be partly derived
from the ‘real’local conditions as captured through the variable for
local average incomes. It should be apparent that the results support the
community resource model. Models 1a-c show that we can reject the
null in the case of H1, which proposed that a higher average local income
is associated with positive views of community representation. Average
weekly income after housing costs had a highly significant effect, and in
the expected direction: higher local incomes are associated with a lower
probability of believing one's community is ‘not at all’listened to (see
Fig. 1). Notably, this effect of income is not found at an individual-level:
people who estimate their household income in the higher brackets do
not tend to believe their communities are better represented.
6.2. Communotropic versus conventional
The second line of enquiry pursued here concerns the basic re-
levance of ‘communotropic’perceptions. These shall be contrasted with
the ‘conventional’model, which expresses the contribution of the range
L. McKay Electoral Studies 60 (2019) 102046
6
of predictors discussed in the established literature. Specifically, it en-
capsulates the effects of individual-level resources (household income,
level of education, working status), personal experience (retrospective
household finances), and national-level economic perceptions (retro-
spective general economy, and perceived national unemployment rate).
It was argued that negative views of the local economy should be
associated with higher discontent with the representation of one's
community by central government. This general theory was expressed
by two specific hypotheses. Firstly, H2a stated that negative views of
recent change in the local economy are associated with negative views of
community representation. Model 3 (Table 2) indicates that it is indeed
possible to reject the null hypothesis. The effect of more negative opi-
nions about the local economy's performance in the past year is posi-
tively-signed, and highly significant: thus, negative views of the local
economy are associated with negative views of community re-
presentation. Furthermore, Model 3 indicates that this relationship is
not item-specific. H2b stated that the perception of a higher rate of un-
employment in one's community is associated with negative views of com-
munity representation, and in this instance we can also reject the null
hypothesis. From Model 3, we can observe a positive relationship be-
tween the respondent's estimated level of unemployment in one's
community and negative views of community representation. Hence,
Model 3 provides considerable support for the communotropic model.
To illuminate the contribution of communotropic factors, three
further findings can be highlighted. Firstly, the effect size of local ret-
rospective perceptions is substantial. Moving from the most positive to
the most negative perception increases the predicted probability of
expressing high discontent from 0.10 to 0.39. Secondly, the commu-
notropic model appears to have substantially better fit with the data
compared to the ‘conventional’model, according to all three fit statis-
tics tested (AIC, BIC, and R
2
). Thirdly, whereas in the conventional
model (2) perceptions of the change in the national economy had a
significant effect, this does not occur when the variables measuring
communotropic factors are included in Model 3. It follows from the
above, as well as from the support found for H2a and H2b, that the
communotropic model is of significant value.
6.3. The role of grievance
The third theoretical proposition was the ‘grievance model’, which
posited that people would make more negative judgements of com-
munity representation if they saw their community as being ‘left be-
hind’compared to the nation as a whole. In Models 4 and 5, I test the
grievance model over two distinct variants of economic perceptions.
Firstly, I include a variable for level of economic negativity: one re-
lating to negativity about one's local community, and one relating to the
national situation. H3a states that the more positive the view of the na-
tional economy, the stronger the association between negative views of the
local economy and negative views of community representation. Support for
the grievance model, in this case, would arise if the interaction term
between these variables were negative, meaning the lower the level of
negativity about the national economy, the larger is the effect of ne-
gativity about the local economy in increasing the propensity for ne-
gative views (and vice versa). From Model 4, we observe that the ex-
pected relationship is not found in the case of local and national
economic evaluations. As such, we fail to reject the null hypothesis for
H3a.
Secondly, in Model 5, I model the interaction of national and local
unemployment. Similar to the above, H3b states that the lower the
estimate of national unemployment, the stronger the association be-
tween higher estimates of local unemployment and negative views of
community representation. Again, support for the grievance model
would arise if the interaction term were negative, indicating that the
lower the estimate of national unemployment, the larger is the effect of
Table 1
The effects of economic context on the probability of high discontent with community representation.
Variables Model 1a Model 1b Model 1c
Age (years) 006* (.003) .006* (.003) .006 (.003)
Gender: female -.298*** (.064) -.296*** (.064) -.299*** (.064)
Education (ref. cat.: no quals)
GCSE -.098 (.122) -.098 (.122) -.103 (.121)
A-level -.032 (.131) -.033 (.131) -.035 (.131)
University -.012 (.123) -.014 (.123) -.012 (.123).
Household income -.001 (.011) -.001 (.011) -.001 (.011)
Working status (ref: in work)
Out of work .096 (.100) .095 (.100) .098 (.100)
Retired -.324** (.093) -.324** (.093) -.325** (.093)
Marital status: married -.073 (.072) -.070 (.072) -.078 (.072)
Government approval -.560*** (.037) -.560*** (.037) -.559*** (.037)
P.P. increase non-white in MSOA (01–11) .004 (.007)
% non-white in MSOA (2011) .002 (.003)
% foreign born in MSOA (2011) -.001 (.004)
Population density in MSOA (2014) -.004*** (.001) -.005*** (.001) -.004** (.001)
Average weekly earnings in MSOA (£10s) -.017*** (.003) -.017*** (.003) -.017*** (.003)
R square .078 .078 .078
N 6,023 6,023 6,023
Notes: Models include controls for party identification (not shown here due to number of categories and available space).
*p < 0.05; **p < 0.01; ***p < 0.001.
Fig. 1. The effect of average weekly earnings in one's Middle Super Output Area
on the probability of high discontent with community representation. Notes:
error bars represent 95% confidence intervals of the estimates from Models 1a-c
(Table 1).
L. McKay Electoral Studies 60 (2019) 102046
7
a high estimate of local unemployment in increasing the propensity for
negative views (and vice versa). In this instance, the expected re-
lationship does emerge. As such, we may reject the null for H3b,
thereby offering support for the grievance model. These effects are most
easily understood from a comparison of the slopes in Fig. 2. It has been
argued by Ai and Norton (2003) that interaction effects in logit and
probit models can be misspecified by conventional techniques. To rule
out the possibility of a false positive, I calculate the ‘cross-derivative’
using inteffin STATA (Norton et al., 2004). This confirmed that the
interaction was highly significant, in the correct direction, and
equivalent in size.
As proposed above, the most likely explanation for the interaction
derives from the psychology of group attachment. People who see a
much worse situation in their local economy than nationally will tend
to want to displace the responsibility from the community itself and are
likely to indict the government (or the political system) instead.
However, those who perceive their communities to be succeeding
ahead of the nation are likely to use this in a process of psychological
bolstering that gives credit to the in-group of local people, rather than
to assess this as an example of extraordinary success by political au-
thorities.
In spite of the support for H3b, there is a real problem of inter-
pretation here, insofar as H3a was not confirmed. There are two viable
explanations. First is that the sense that one's area is falling behind on a
‘getting better’/’getting worse’question is not as damaging as falling
behind on the unemployment question. In theory, people could see their
area as failing to flourish in the short-term, but still possessing struc-
tural advantages over the rest of the country and thus retain the sense of
being overall ‘winners’. Indeed, I find that the ordering of ‘better/worse’
and ‘higher/lower’unemployment rates were often at odds. Of those
who rated the local economy as better than the national economy on
the ‘general’question, thirty percent deviated, and indicated that local
unemployment was higher than national unemployment. Similarly, of
those rating the local economy worse, some fifty percent thought there
was lower unemployment locally.
7
It is unclear how much of this is due
to respondents making a short-term/structural distinction, but it may
be enough to blunt the impact of being ‘left behind’on ‘general’per-
ceptions.
The alternative explanation is survey methodology. This is in two
senses. First, the far more fine-grained 0–100 scale for unemployment
perceptions may be more suited to the detection of interactions than the
five-point scale. For instance, respondents who think the national
economy is poor, but the local much worse, are left with little room to
indicate the real gulf in their perceptions on the ‘general’question but a
lot more on the unemployment question. Again, the data supports this.
Table 2
The effects of economic perceptions on the probability of high discontent with community representation.
Variables Conventional Communotropic Grievance
Model 2 Model 3 Model 4 Model 5
Age (years) .004 (.003) .005 (.003) .003 (.003) .005 (.003)
Gender: female -.179* (.072) -.179 (.073) -.240*** (.071) -.197** (.005)
Education (ref: no quals)
GCSE -.272* (.134) -.252 (.136) -.238 (.136) -.254 (.135)
A-level -.176 (.144) -.142 (.155) -.100 (.144) -.167 (.145)
University -.257 (.136) -.029 (.145) -.175 (.136) -.230 (.148)
Household income -.002 (.012) .021 (.013) .011 (.012) .002 (.012)
Work status (ref: in work/study)
Out of work .068 (.110) -.032 (.119) .042 (.037) .054 (.110)
Retired -.261* (.101) -.241* (.109) -.244* (.102) -.276*** (.101)
Marital status: married -.040 (.078) -.109 (.085) -.087 (.079) -.038 (.078)
Government approval (low-high) -.492*** (.044) -.450*** (.045) -.446*** (.044) -.541*** (.041)
Perceived diversity increase .153*** (.046) .098* (.047) .106* (.047) .143** (.046)
Estimated percentage white .006* (.002) .006** (.002) .006* (.002) .006* (.002)
Estimated percentage non-UK -.001 (.001) -.002 (.001) -.002 (.001) -.002 (.001)
Negativity –household finances .072 (.043) -.015 (.043) -.013 (.043) .112* (.039)
Negativity –national economy .134** (.042) .035 (.043) .042 (.097)
Negativity –local economy .462*** (.051) .511*** (.119)
Estimate national unemployment (low-high) -.008** (.002) -.013*** (.003) -.007 (.004)
Estimate local unemployment (low-high) 007* (.003) .017*** (.004)
National * local economic negativity .012 (.037)
Estimate of local * estimate of national unemployment -.0002* (.000)
R square .080 .098 .094 .082
N 5,152 5,152 5,152 5,152
Notes: Models include controls for party identification (not shown here due to number of categories).
*p < 0.05; **p < 0.01; ***p < 0.001.
Fig. 2. The effect of estimates of local unemployment on the probability of high
discontent with community representation given perceived national un-
employment. Note: Error bars represent 95% confidence intervals of the esti-
mated probability of high discontent obtained from the results displayed in
Model 5 (Table 2).
7
There is a slight tendency on the unemployment questions to think that
things are better locally; on the economy ‘in general’, however, the reverse is
true. Though unclear why, one speculative suggestion is that it may reflect
media prominence given to the idea of a widespread use of unemployment and
other benefits by the ‘work-shy’, which is perhaps sometimes disconfirmed at a
local level while being maintained as a belief about the nation as a whole.
L. McKay Electoral Studies 60 (2019) 102046
8
Nearly forty percent of respondents evaluated the local and national
economies equally on the ‘general’questions, but just eleven percent
did so on the unemployment question. Of the forty percent, nearly nine
in ten gave either higher or lower estimates for local unemployment
than for national.
8
The unemployment question may also shake re-
spondents out of survey-answering strategies which could suppress in-
teraction effects –for instance, ‘straight-liners’and ‘midpoint stickers’
may have to give more consideration to how they answer the un-
employment questions than the general ones.
The second possible method effect is that the unemployment ques-
tions directly invited a comparison between local and national cir-
cumstances in a way that the ‘general’questions did not. The local/
national unemployment questions were asked together, while the local/
national general economic perceptions were asked in different parts of
the survey. Some respondents could therefore use the unemployment
scales in a more expressive way than they could the ‘general’scales (and
as suggested, they could draw particularly dramatic comparisons).
6.4. Cultural factors, demographics and other controls
In the results discussed above, I find no evidence to suggest that
‘culture trumps economics’in its influence on perceived community
representation. Nonetheless, cultural factors are not irrelevant: al-
though none of the variables measuring cultural context had effects,
there was a significant effect (in all models) of perceiving one's com-
munity as being more White on feeling the community was not re-
presented, and of perceiving a growth in community diversity had the
same effect. How, precisely, a community's real or perceived cultural
context affects discontent is an important question for future work. At
the contextual level, I also observe an effect of population density.
Specifically, this highlighted that people in less dense areas were more
likely to be high in discontent, despite the relative affluence of rural
areas.
In terms of the individual's demographics, two further points of
interest emerge. The retired also appear distinct in their relative con-
tentment with community representation –although age is insignif-
icant. This may be linked to greater involvement in community activ-
ities among retired than working people in the United Kingdom
(Matthews et al., 2014) and the corresponding sense of influence that
can come with local civic engagement (Johnson, 2014). Finally, gender
stands out, with men more likely to perceive their communities as
poorly represented. This has a potentially interesting implication. Gest
(2016) suggests that political discontent is more acute among some men
because they have struggled to adjust to both long and short-term
changes in their local economy, often accompanied by the erosion of
institutions (the union, the working men's club and so on) which they
perceived afforded them status above their social class. This implies
that gender and local economy may be interlinked in contemporary
political discontent in the advanced economies. Given the role for local
economies and for gender that emerges here, this is a plausible theory in
the British context which, although out of scope of this paper, research
might fruitfully explore.
7. Conclusion
I began by noting the way the narratives used to understand poli-
tical discontent had begun to incorporate a spatial element in the po-
litical moment post-Brexit, but expressed concerns that this had not
been accompanied by real scholarly understanding of this dimension. In
this article, I have sought to identify the precise impact of community
economies –both from the standpoint of their real economic conditions
and the perceptions people hold about them –and the mechanism that
links them to perceived community representation. Below, I summarise
the major findings, exploring their potential implications, for how the
discipline could explore this further, and in highlighting the general
value of paying attention to geographic inequalities.
Firstly, people appear to be influenced by community ‘resources’—
with low average incomes in one's area being associated with an ele-
vated likelihood of discontent with community representation. Insofar
as incomes are a good proxy for economic performance, this finding
offers a counter-point to the finding of Jennings and Stoker that the
‘two Englands’were no different in their degree of political discontent.
While they posited that this might be an ‘emerging trend’that they
could not yet discern, the evidence presented here suggests instead that
it had already manifested in some form –albeit, not necessarily in more
generalised judgements about politics and politicians, but instead in
more particular perceptions of community representation.
Secondly, replicating a common finding in the political trust lit-
erature (see e.g. Anderson and Mendes, 2005), personal circumstances
and ‘egotropic’economic perceptions are of minimal importance in
perceived community representation. This can be seen in terms of the
non-significant findings over two variables that capture different ego-
tropic dimensions (household income, and personal economic percep-
tions). However, this study diverges from some previous literature,
including Rogers, in that one's view of the national economy is not a
significant factor. Despite its apparent utility in explaining political
trust, the conventional ‘sociotropic’perspective, which focuses on na-
tional perceptions, is not wholly satisfying in understanding why people
perceive a poor quality of representation in their community.
Thirdly, this research has found that there is a substantial role for an
explanation based on the ‘grievance’associated with perceived relative
deprivation between one's community and the country-at-large. This
finding indicates that the common perception held by the public-at-
large, that different parts of the country are on different economic
trajectories, has tangible effects on the sentiment that one's community
is ignored.
Going forward, there may be opportunities to improve on the
methodology utilised here to access ‘grievance’. In particular, it will be
important to interrogate the claim that being ‘left behind’is typically
processed as an injustice: work by Jost and Banaji (1994) on ‘system
justification’suggests that this will not always be the case and that often
people will justify their disadvantage rather than let it drive them to
anger. More broadly, it will be important to discover the affective
content in ‘grievance’.AsVan Zomeren et al. (2008) argued, the ‘cog-
nitive component’in ‘relative deprivation’–the weighing up of one's
own group's situation against another - is a far less powerful political
motivator than the emotions of anger and resentment that may ac-
company such calculus.
Furthermore, there is a risk that working from people's national-
local comparisons captures ‘grievance’only in a limited sense. This
study identifies those who feel their area is suffering compared to the
country at large. However, an alternative source of grievance might be
the sense that select areas of the country monopolise the fruits of eco-
nomic growth. This way of seeing distributive politics may be potent
politically, because it identifies specific beneficiaries in a way that
might be associated with a degree of ‘resentment’.Cramer (2016) shows
how the resentment of big cities found in Wisconsin residents is pro-
foundly connected to their views of representation: the relative eco-
nomic failure of their own area is frequently explained by her interview
subjects through a sense that successful places are subject to political
favouritism.
It is not hard to see plausible parallels internationally, particularly
in the United Kingdom. It may be that the high importance and ongoing
ascendancy of London is especially important to the development and
politicisation of grievance. Mandler (2016) has written that, along with
struggling former industrial areas and coastal towns, ostensibly pros-
perous parts of the country perceive themselves as un-represented and
deprived of power because of its monopolisation in London, ‘the home
8
The variance in their estimates was also just as high as in the rest of the
sample.
L. McKay Electoral Studies 60 (2019) 102046
9
of all of Britain's elites' –financial, political, journalistic, professional.
To acquire an improved picture of the nature and extent of grievance, as
well as its ramifications for political discontent, future survey research
might incorporate the perspective that people may see their area as
struggling less in relation to the country and more in relation to specific
centres of economic power.
The above analysis is, of course, merely a first step in understanding
the effects of economic context on discontent. One principle limitation
is that the average local income is only a static measure of the local
economy. While this may capture something important, it is none-
theless somewhat abstracted from how people actively experience the
economy: that is, as a dynamic system in which trajectories in pros-
perity and hardship may be as important as their levels, and may
powerfully influence community psychologies. Given recent studies
suggesting that localised decline is linked to cultural ‘threat’(Colantone
and Stanig, 2018;Carreras et al., 2019), which may be in turn linked to
discontent, advances in this area may be especially important both in
uncovering new facts and in connecting literatures that at present are
generally presented as conflicting explanations.
Modelling the effects of change poses challenges of its own, of
course: especially at small-area levels, where rates of growth are not
estimated by official statistics. However, political science has recently
begun to confront these obstacles. For instance, in order to study the
economic drivers of Brexit, Jennings (2017) constructs an index of
‘relative decline’at constituency level using a variety of indicators,
including employment changes, business growth, population inflows
and outflows, and changes in the proportions of degree-holders. Such a
methodology may provide a useful precedent for how the relationship
between economic trajectory and perceived representation might be
approached.
It will also be valuable to explore how perceptions of ‘community
representation’can be better captured. This study used a single item,
whereas for several reasons multi-item measures are generally pre-
ferred. Further, it would be useful to know to what extent people re-
sponsibilise and evaluate different political actors within central gov-
ernment for ‘community representation’, and in particular how they
judge non-elected officials relative to government. In addition, the item
used placed an emphasis on ‘listening’- yet, as Esaiasson et al. (2015)
argues, attitudes to representation also relate to how far governments
‘adapt’policy decisions in line with public opinion, and to how well
they ‘explain’those decisions.
While the findings related to economic resources, economic per-
ceptions, and the grievances of the ‘left behind’are all of individual
significance –and in their own way may contribute to academic and
political conversations –the wider perspective offered by this paper is
that these findings reflect another dimension of the politics of in-
equality: the fact of real geographic divides with genuine consequences
for residents' life experiences. While political science has not entirely
eschewed this perspective, its application to research concerning poli-
tical trust, democratic satisfaction, and similar political attitudes has
thus far been limited. I contend that attentiveness to the geographic
divides, and how they come to be understood by the general public,
constitutes a perspective of real value to the study of questions of
alienation, distrust and discontent that are central to our research, and
that profoundly leave their mark on contemporary politics.
Declaration of interest
This research has been supported by the Economic and Social
Research Council and the Hansard Society [grant number 1775110].
Acknowledgements
I am very grateful to Professor Jane Green (Nuffield College,
Oxford), Professor Edward Fieldhouse (University of Manchester) and
Professor Maria Sobolewska (University of Manchester) for the many
improvements that they suggested during the gestation of the manu-
script. I would also like to thank those who offered advice and sug-
gestions at my panels at the Political Studies Association Annual
Meeting 2018 and at the Elections, Public Opinion and Parties Annual
Conference 2018, as well as the many members of faculty who offered
support and encouragement through the writing process.
Appendix A. Supplementary data
Supplementary data to this article can be found online at https://
doi.org/10.1016/j.electstud.2019.04.010.
References
Ai, C., Norton, E., 2003. Interaction terms in logit and probit models. Econ. Lett. 80 (1),
123–129. https://doi.org/10.1016/S0165-1765(03)00032-6.
Alesina, A., Wacziarg, R., 2000. The economics of civic trust. In: Pharr, S.J., Putnam, R.D.
(Eds.), Disaffected Democracies: What's Troubling the Trilateral Countries? Princeton
University Press, Princeton, NJ, pp. 149–170.
Allen, N., Sarmiento-Mirwaldt, K., 2015. ‘In it together’? The political consequences of
perceived discommunions of interest in British politics. Res. Pol. 2 (2). https://doi.
org/10.1177/2F2053168015587567.
Amengay, A., Stockemer, D., 2018. The radical right in western Europe: a meta-analysis of
structural factors. Polit. Stud. Rev. 17 (1), 30–40. https://doi.org/10.1177/
2F1478929918777975.
Anderson, C.J., Mendes, S.M., 2005. Personal Economic Hardship, Happiness and
Political Satisfaction: a Cross-National Analysis. (NEAPP Working Paper No. 9.)
Retrieved from Universidade Do Minho Website. URL: http://repositorium.sdum.
uminho.pt/handle/1822/2943.
Anderson, C.J., Blais, A., Bowler, S., Donovan, T., Listhaug, O., 2005. Losers' Consent:
Elections and Democratic Legitimacy. Oxford University Press, Oxford.
Brant, R., 1990. Assessing proportionality in the proportional odds model for ordinal
logistic regression. Biometrics 46 (4), 1171–1178.
Buchan, I.E., Kontopantelis, E., Sperrin, M., Chandola, T., Doran, T., 2017. North- South
disparities in English morality 1965-2015: longitudinal population study. J.
Epidemiol. Community Health 71 (9), 928–936. https://doi.org/10.1136/jech-2017-
209195.
Budria, S., Ferrer-I-Carbonell, A., 2018. Life satisfaction, income comparisons and in-
dividual traits. Rev. Inc. Weal. Early View. https://doi.org/10.1111/roiw.12353.
Campbell, A., Gurin, G., Miller, W.E., 1954. The Voter Decides. Row, Peterson and Co,
Oxford.
Carreras, M., Carreras, Y., Bowler, S., 2019. Long-term economic distress, cultural
backlash, and support for Brexit. Comp. Pol Stud. https://doi.org/10.1177/
0010414019830714.
Castiglione, D., 2006. Representation. In: Bevir, M. (Ed.), Encyclopedia of Governance.
vol 1. SAGE Publications, Thousand Oaks, pp. 844–847.
Castillo, A.M.J., 2006. Institutional Performance and Satisfaction with Democracy. A
Comparative Analysis. CSES Conference and Planning Committee Meeting, Seville,
Spain.
Child, D., 2006. The Essentials of Factor Analysis, third ed. Continuum, London.
Citrin, J., Green, D.J., 1986. Presidential leadership and the resurgence of trust in gov-
ernment. Br. J. Polit. Sci. 16 (4), 431–453. https://doi.org/10.1017/
S0007123400004518.
Clarke, P., Wheaton, B., 2007. Addressing data sparseness in contextual population re-
search: using cluster analysis to create synthetic neighborhoods. Socio. Methods Res.
35 (3), 311–351. https://doi.org/10.1177/2F0049124106292362.
Colantone, I., Stanig, P., 2018. Global competition and Brexit. Am. Pol. Sci. Rev. 112 (2),
201–218.
Cook, K.S., Santana, J.J., 2018. Trust and rational choice. In: Uslaner, E.M. (Ed.), The
Oxford Handbook of Social and Political Trust. Oxford University Press, Oxford, pp.
253–278.
Coyle, D., Ford, R., 2017. Brussels bureaucrats and Whitehall mandarins: taking regional
identity seriously. In: Beck, T., Underhill, G. (Eds.), Quo Vadis? Identity, Policy and
the Future of the European Union. CEPR Press, London, pp. 65–72.
Cramer, K.J., 2016. The Politics of Resentment: Rural Consciousness In Wisconsin and
The Rise of Scott Walker. University of Chicago Press, Chicago.
Dalton, R.J., 2004. Democratic Challenges, Democratic Choices: the Erosion of Political
Support in Advanced Industrial Democracies. Oxford University Press, Oxford.
Dalton, R.J., 2016. Political trust in North America. In: Zmerli, S., van der Meer, T. (Eds.),
Handbook on Political Trust. Edward Elgar Publishing, Cheltenham, pp. 375–394.
Davis, N.T., Hitt, M.P., 2017. Winning, losing, and the dynamics of external political
efficacy. Int. J. Public Opin. Res. 29 (4), 676–689. https://doi.org/10.1093/ijpor/
edw013.
Delhey, J., Kohler, U., 2006. From nationally bounded to pan-European inequalities? On
the importance of foreign countries as reference groups. Eur. Sociol. Rev. 22 (2),
125–140. https://doi.org/10.1093/esr/jci047.
Dorling, D.J., Pritchard, J., 2010. The geography of poverty, inequality and wealth in the
UK and abroad: because enough is never enough. Appl. Spat. Anal. Pol. 3 (2–3),
81–106. https://doi.org/10.1007/s12061-009-9042-8.
Easton, D., 1975. A Re-assessment of the concept of political support. Br. J. Polit. Sci. 5
(4), 435–457. https://doi.org/10.1017/S0007123400008309.
L. McKay Electoral Studies 60 (2019) 102046
10
Esaiasson, P., Kölln, A.-K., Turper, S., 2015. External efficacy and perceived re-
sponsiveness—similar but distinct concepts. Int. J. Public Opin. Res. 27 (3), 432–445.
https://doi.org/10.1093/ijpor/edv003.
Fieldhouse, E., Green, J., Evans, G., Schmitt, H., van der Eijk, C., Mellon, J., Prosser, C.,
2016. British Election Study Internet Panel Waves 1-9. Retrieved from British
Election Study website URL: www.britishelectionstudy.com.10.15127/1.293723.
https://www.britishelectionstudy.com/data-object/british-election-study-combined-
wave-internet-panel/.
Forth, T., 2017, October 30. To Bring Back Trust in Politics, Britain Needs a Local Measure
of GDP. CityMetric Retrieved from. http://www.citymetric.com/business.
Gest, J., 2016. The New Minority: White Working Class Politics in an Age of Immigration
and Inequality. Oxford University Press, Oxford.
Gest, J., Reny, T., Mayer, J., 2017. Roots of the radical right: nostalgic deprivation in the
United States and Britain. Comp. Pol Stud. 51 (13), 1694–1719. https://doi.org/10.
1177/2F0010414017720705.
Gilens, M., Page, B.I., 2014. Testing theories of American politics: elites, interest groups,
and average citizens. Perspect. Polit. 12 (3), 564–581.
Gill, B., 2016. The English Indices of Deprivation 2015. Department for Communities and
Local Government Statistical Release URL: https://www.gov.uk/government/
statistics/english-indices-of-deprivation-2015.
Grube, D., 2015. Responsibility to Be enthusiastic? Governance 28, 305–320. https://doi.
org/10.1111/gove.12088.
Hansard Society, 2019. Audit of Political Engagement 16. [report]. Hansard Society,
London.
Hetherington, M.J., Rudolph, T.J., 2015. Why Washington Won't Work: Polarization,
Political Trust, and the Governing Crisis. University of Chicago Press, Chicago.
Hibbing, J.R., Theiss-Morse, E., 2001. Process preferences and American politics: what
the people want government to Be. Am. Pol. Sci. Rev. 95 (1), 145–153.
Hooghe, M., Marien, S., Oser, J., 2017. Great expectations: the effect of democratic ideals
on political trust in European democracies. Contemp. Pol. 23 (2), 214–230. https://
doi.org/10.1080/13569775.2016.1210875.
Ige, K.D., 2014. From rationalization to attribution: a meta-analysis of existing explana-
tions of reaction to marginalization and inequality in Nigeria. Mediterr. J. Soc. Sci. 20
(5), 2179–2191. https://doi.org/10.5901/mjss.2014.v5n20p2179.
Jackson, R.A., 1995. Clarifying the relationship between education and turnout. Am. Pol.
Q. 23 (3), 279–299. https://doi.org/10.1177/2F1532673X9502300302.
Jennings, W., 2017. Cities, towns and the general election of 2017. In: Jennings, W., Brett,
W., Bua, A., Laurence, R. (Eds.), Cities and Towns: the 2017 General Election and the
Social Divisions of Place. Report for the New Economics Foundation, pp. 2–15.
Retrieved from. http://neweconomics.org.
Jennings, W., Stoker, G., Twyman, J., 2016. The dimensions and impact of political
discontent in Britain. Parliam. Aff. 69 (4), 876–900. https://doi.org/10.1093/pa/
gsv067.
Johnson, C., 2014. Local civic participation and democratic legitimacy: evidence from
England and Wales. Polit. Stud. 63 (4), 765–792.
Johnson, D., 2015, 20 March. It's regional inequality, stupid. New Statesman Retrieved
from. www.newstatesman.com.
Johnston, R., Pattie, C., 2002. Geographical scale, the attribution of credit/blame, local
economic circumstances, and retrospective economic voting in Great Britain 1997: an
extension of the model. Environ. Plan. C Govern. Policy 20 (3), 421–438.
Jones, G., Stewart, J., 2012. Local government: the past, the present and the future. Publ.
Pol. Adm. 27 (4), 346–367. https://doi.org/10.1177/0952076712439979.
Jost, J.T., Banaji, M.R., 1994. The role of stereotyping in system-justification and the
production of false consciousness. Br. J. Soc. Psychol. 33 (1), 1–27. https://doi.org/
10.1111/j.2044-8309.1994.tb01008.x.
Kinder, D.R., Kiewiet, D.R., 1981. Sociotropic politics: the American case. Br. J. Polit. Sci.
11 (2), 129–161. https://doi.org/10.1017/S0007123400002544.
Klingemann, H.-D., 1999. Mapping political support in the 1990s: a global analysis. In:
Norris, P. (Ed.), Critical Citizens: Global Support for Democratic Governance. Oxford
University Press, Oxford, pp. 31–56.
Lamerís, J., Kraaykamp, G., Ruiter, S., Tolsma, J., 2018a. Size is in the eye of the be-
holder: how differences between neighbourhoods and individuals explain variation in
estimations of the ethnic out-group size in the neighbourhood. Int. J. Intercult. Relat.
63, 80–94.
Lamerís, J., R Hipp, J., Tolsma, J., 2018b. Perceptions as the crucial link? The mediating
role of neighborhood perceptions in the relationship between the neighborhood
context and neighborhood cohesion. Soc. Sci. Res. 72, 53–68.
Lansley, S., 2011. Britain's Livelihood Crisis, Report. Trades Union Congress, London.
Livingston, M., Walsh, D., Whyte, B., Bailey, N., 2013. The Spatial Distribution of
Deprivation. [report]. Glasgow Centre for Population Health, Glasgow.
Mandler, P., 2016. Britain's EU problem is a London problem. Dissent Magazine Retrieved
from. www.dissentmagazine.org.
Matthews, K., Demakakos, P., Nazroo, J., Shankar, A., 2014. The evolution of lifestyles in
older age in England. In: Banks, J. J. Nazroo, Steptoe, A. (Eds.), The Dynamics of
Ageing. Institute for Fiscal Studies, London.
McCann, P., 2016. The UK Regional-National Economic Problem: Geography,
Globalisation and Governance. Routledge, Oxford.
Mueller, J.E., 1970. Presidential popularity from Truman to Johnson. Am. Pol. Sci. Rev.
64 (1), 18–34. https://doi.org/10.2307/1955610.
Mutz, D.C., 1992. Mass media and the depoliticization of personal experience. Am. J. Pol.
Sci. 36 (2), 483–508. https://doi.org/10.2307/2111487.
Mutz, D.C., Mondak, J.J., 1997. Dimensions of sociotropic behavior: group-based jud-
gements of fairness and well-being. Am. J. Pol. Sci. 41 (1), 284–308. https://doi.org/
10.2307/2111717.
Newton, K., Stolle, D., Zmerli, S., 2018. Social and political trust. In: Uslaner, E.M. (Ed.),
The Oxford Handbook of Social and Political Trust. Oxford University Press, Oxford,
pp. 37–56.
Norris, P., 2011. Democratic Deficit: Critical Citizens Revisited. Cambridge University
Press, Cambridge.
Norris, P., Inglehart, R., 2016. Trump, Brexit and the Rise of Populism: Economic Have-
Nots and Cultural Backlash. In: Harvard Kennedy School working paper RWP16-026,
Retrieved from URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=
2818659.
Norton, Wang, H.E., Ai, C., 2004. Computing interaction effects and standard errors in
logit and probit models. STATA J. 4 (2), 154–167. https://econpapers.repec.org/
RePEc:tsj:stataj:v:4:y:2004:i:2:p:154-167.
Office of National Statistics, 2016. Small Area Income Estimates for Middle Layer Super
Output Areas, England and Wales. Retrieved from. www.ons.gov.uk https://www.
ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/
datasets/
smallareaincomeestimatesformiddlelayersuperoutputareasenglandandwales.
Office for National Statistics, 2011. Census aggregate data - Distance Travelled to Work
(Table QS702EW). .
Pattie, C., Johnston, R., 1995. “It's not like that round here”: region, economic evaluations
and voting at the 1992 British General Election. Eur. J. Political Res. 28 (1), 1–32.
https://doi.org/10.1111/j.1475-6765.1995.tb00485.x.
Pattie, C., Johnston, R., 2006. Putting Voters in Their Place: Geography and Elections in
Great Britain. Oxford University Press, Oxford.
Peters, Y., Ensink, S.J., 2014. Differential responsiveness in Europe: the effects of pre-
ference difference and electoral participation. W. Eur. Polit. 38 (3), 577–600.
Pickett, K.E., Pearl, M., 2001. Multilevel analyses of neighbourhood socioeconomic
context and health outcomes: a critical review. J. Epidemiol. Community Health 55,
111–122.
Rogers, J., 2014. A communotropic theory of economic voting. Elect. Stud. 36 (1),
107–116. https://doi.org/10.1016/j.electstud.2014.08.004.
Runciman, W.G., 1966. Relative Deprivation and Social Justice: A Study of Attitudes to
Social Inequality in Twentieth-Century England. University of California Press,
Berkeley.
Savage, M., 2015. Social Class in the 21st Century. Penguin, London.
Scheidegger, R., Staerklé, C., 2011. Political trust and distrust in Switzerland: a normative
analysis. Swiss Polit. Sci. Rev. 17 (2), 164–187. https://doi.org/10.1111/j.1662-
6370.2011.02010.x.
Sears, D.O., 1993. Symbolic politics: a socio-psychological theory. In: Iyengar, S.,
McGuire, W.J. (Eds.), Duke Studies in Political Psychology. Explorations in Political
Psychology. Duke University Press, Durham, NC, US, pp. 113–149.
Smith, H.J., Pettigrew, T.F., Pippin, G.M., Bialosiewicz, S., 2012. Relative deprivation: a
theoretical and meta-analytic review. Pers. Soc. Psychol. Rev. 16 (3), 203–232.
https://doi.org/10.1177/1088868311430825.
Soss, J., 1999. Lessons of welfare: policy design, political learning, and political action.
Am. Pol. Sci. Rev. 93 (2), 363–380. https://doi.org/10.2307/2585401.
Tunstall, H.D., Rossiter, J., Pattie, C.J., MacAllister, I., Johnston, R.J., Dorling, D.F.L.,
2000. Geographical scale, the 'Feel-Good factor' and voting at the 1997 general
election in England and Wales. Trans. Inst. Br. Geogr. 25 (1), 51–64. https://doi.org/
10.1111/j.0020-2754.2000.00051.x.
Tyler, T.R., Lind, E.A., 1992. A relational model of authority in groups. Adv. Exp. Soc.
Psychol. 25, 115–191. https://doi.org/10.1016/S0065-2601(08)60283-X.
Ulbig, S.G., 2008. Voice is not enough: the importance of influence in political trust and
policy assessments. Publ. Opin. Q. 72 (3), 523–539. https://doi.org/10.1093/poq/
nfn030.
Van der Meer, T., Dekker, P., 2011. Trustworthy states, trusting citizens? A multilevel
study into objective and subjective determinants of political trust. In: Zmerli, S.,
Hooghe, M. (Eds.), Political Trust: Why Context Matters. ECPR Press, Colchester, pp.
95–116.
Van Zomeren, M., Postmes, T., Spears, R., 2008. Toward an integrative social identity
model of collective action: a quantitative research synthesis of three socio-psycho-
logical perspectives. Psychol. Bull. 13 (4), 504–535. https://doi.org/10.1037/0033-
2909.134.4.504.
Verboon, P., Goslinga, S., 2009. The role of fairness in tax compliance. Neth. J. Psychol.
136–145. http://psycnet.apa.org/doi/10.1007/BF03080136.
Williams, R., 2016. Understanding and interpreting generalized ordered logit models. J.
Math. Sociol. 40 (1), 7–20. https://doi.org/10.1080/0022250X.2015.1112384.
Wong, C., Bowers, J., Rubenson, D., Fredrickson, M., Rundlett, A., 2018. Maps in People's
Heads: Assessing A New Measure of Context. Political Science Research and Methods,
Early View.
Zaller, J., Feldman, S., 1992. A simple theory of the survey response: answering questions
versus revealing preferences. Am. J. Pol. Sci. 36 (3), 579–616. https://doi.org/10.
2307/2111583.
Zhang, S., Zhou, J., 2018. Social justice and public cooperation intention: mediating role
of political trust and moderating effect of outcome dependence. Front. Psychol. (9),
1381–1397. https://dx.doi.org/10.3389/2Ffpsyg.2018.01381.
L. McKay Electoral Studies 60 (2019) 102046
11