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Title: Exploring geographies of happiness and well-being in Britain


1
Exploring geographies of happiness and well-being
in Britain
  • Dimitris Ballas
  • Social and Spatial Inequalities (SASI) research
    group
  • Department of Geography
  • University of Sheffield
  • http//www.sheffield.ac.uk/sasi

ESRC-funded research fellowship Understanding
Population Trends And Processes (UPTAP)
2
Aims (1)
  • Investigate different definitions of happiness
    and explore the degree to which happiness varies
    over time and space
  • Extend existing work on the perception of
    happiness by providing a detailed explanation of
    what are the factors and life events that make
    different types of individuals happy and how
    these affect the overall structure and cohesion
    of society.
  • Produce an extensive critical review of existing
    theories of happiness.
  • Add a geographical dimension to the existing
    research on happiness.

3
Aims (2)
  • Build a geographical model of happiness that will
    be capable of providing information on the
    different degrees of happiness attained by people
    in different regions and localities, under
    alternative scenarios and happiness definitions.
  • Produce an extensive critical review of existing
    theories of happiness.
  • Examine the factors and life events affecting
    happiness during the lifetime of different types
    of individuals, in order to build a model capable
    of predicting the future trends in happiness and
    prosperity for different geographical areas.
  • Explore the relationship between what defines
    happiness and socio-economic phenomena, such as
    unemployment and income inequalities

4
Aims (3)
  • Use a simulation model to estimate the different
    degrees of happiness attained by people in
    different regions and localities, under
    alternative scenarios and happiness definitions.
  • Examine the relationship of happiness and
    capability, on the basis of past relevant
    research (such as the work of Sen, 1993)
  • Examine the possible impact of happiness of
    income and wealth redistribution
  • Investigate the possible impact on happiness of
    basic income policies which could increase the
    economic independence of all individuals in
    society (Van Parijs, 1997 and 2001).
  • Provide projections of how British society will
    look in the next 10 and 20 years, under
    alternative assumptions.

5
What is happiness?
  • Greece, circa 500 BC
  • Socrates, Plato ?
  • Aristotle (384-322 BC)
  • Nichomachean Ethics (350 BC)
  • http//classics.mit.edu/Aristotle/nicomachaen.html
  • England, 18th century
  • Bentham (1748 1832), the principle of Utility
  • John Stuart Mill (1806 1873) Utilarianism
  • http//www.utilitarianism.com/

6
What is happiness? Can it be measured?
  • Human perceptions of happiness vary and depend on
    a wide range of factors
  • What is the good life for man? The question of
    what is a full and rich life cannot be answered
    for an individual in abstraction from the society
    in which he lives
  • (Aristotle, Nicomachean Ethics)
  • Can happiness be measured?
  • Happiness is subjective and no objective theory
    about the ordinary concept of happiness has the
    slightest plausibility
  • (Sumner, 1996)

7
What is happiness? Can it be measured?
  • A person who has had a life of misfortune, with
    very little opportunities, and rather little
    hope, may be more easily reconciled to
    deprivations than others reared in more fortunate
    and affluent circumstances. The metric of
    happiness may, therefore, distort the extent of
    deprivation in a specific and biased way.
  • (Sen, 1987 45)
  • Can happiness be measured?
  • Oswald and Clark (2002) statistical regression
    models of happiness measuring the impact of
    different life events upon human well being

8
Happiness and economics
  • Happiness is defined as utility
  • Utility can be measured and compared across
    people
  • Marginal utility of income is assumed to be
    higher for poor people than for rich people
  • Hicks and Kaldor proposed a measure of national
    welfare similar to GDP adjusted for leisure and
    pollution

9
BUT can Happiness be measured?
  • Richard Layard (2005), Andrew Owswald (2002) and
    others argue that it can!
  • By happiness I mean feeling good enjoying
  • Life and feeling is wonderful. And by
  • Unhappiness I mean feeling bad and wishing things
    were different (Layard, 2005)

10
General happiness Self Completion (4) Question
Number and Text KS1L Have you recently....been
feeling reasonably happy, all things considered?
Source The British Household Panel Survey, 2001
11
General Health Questionnaire (1) Have you
recently
  • Been able to concentrate on whatever you are
    doing?
  • Lost much sleep over worry?
  • Felt that you are playing a useful part in
    things?
  • Felt capable of making decisions about things?
  • Felt constantly under strain?
  • Felt you could not overcome your difficulties?

12
General Health Questionnaire (2) Have you
recently
  • Been able to enjoy your normal day-to-day
    activities?
  • Been able to face up to your problems?
  • Been feeling unhappy or depressed?
  • Been losing confidence in yourself?
  • Been thinking of yourself as a worthless person?
  • Been feeling reasonable happy all things
    considered?

13
Happiness in different activities (after Layard,
2005)
14
Happiness in different activities (after Layard,
2005)
15
Can happiness be measured?
  • Positive and negative feelings are inversely
    correlated
  • Happiness can be thought of as a single variable
    (Layard, 2005)

16
Happiness and inequality
  • A house may be large or small as long as the
    surrounding houses are equally small it satisfies
    all social demands for a dwelling. But if a
    palace arises beside the little house, the little
    house shrinks to a hovel and the dweller will
    feel more and more uncomfortable, dissatisfied
    and cramped within its four walls.
  • (Marx and Engels, 1848 268)

17
Happiness and inequality
  • When we are at home, most of us like to live in
    roughly the same style as our friends or
    neighbours, or better. If our friends start
    giving more elaborate parties, we feel we should
    do the same. Likewise if they have bigger houses
    or bigger cars.
  • (Layard, 2005 43)

18
Happiness and inequality
  • similarly at work, I compare my income with
    what my colleagues get, in so far as I hear about
    it. If they get a raise above inflation and I get
    inflation only, I get mad.
  • (Layard, 2005 44)

19
Happiness and inequality
  • Interviewing single mothers on council estates a
    few years ago it was striking that most spoke
    about their depressing social isolation. They
    couldnt afford to keep up with former friends,
    because they hadnt the money to make even the
    most minimal gestures required of a friendship
    sending birthday cards or buying rounds of
    drinks. As one said at the time My friends will
    offer to buy me a round - but I have to say no,
    because I cant buy the next. As a consequence,
    these womens social circles had shrunk to their
    mothers and their lovers, because these were the
    only relationships which could be maintained
    without the expectation of financial
    reciprocity.
  • (Russell, 2006 93)

20
The One Percent Is Always The Same (OPIATS) rule
  • This rule implies that if my income is 100,000
    and I give 20,000 of it to the poor, my
    well-being falls by a fifth. If I divide my
    20,000 equally between ten people with incomes
    of 10,000 ten peoples well-being will rise by a
    fifth. The gains from this gift will thus exceed
    the losses by a factor of ten. The utilitarian
    case for governmental redistribution almost
    always reflects this logic taxing the rich wont
    do them much harm, and helping the poor will do
    them a lot of good. If you look at the actual
    relationship between income and outcomes like
    health and happiness the OPIATS rule seldom
    describes the relationship perfectly but it comes
    far closer than the One Dollar is Always the
    Same rule, which is the only rule under which
    income inequality does not affect health or
    happiness.
  • (Jencks, 2002 57)

21
Exploring geographies of happiness
  • What is the degree of happiness attained by
    different types of individuals in various
    localities and regions in Britain? Does space
    matter?
  • Happiness and inequality and space rethinking
    regional economic policy
  • Happiness, prosperity and regional/local GDP
    growth
  • Is the source of happiness or unhappiness
    personal or it has more to do with inequalities
    in the distribution of income, wealth, skills and
    capability?
  • Rivalry and geography rivalries of place

22
Exploring geographies of happiness
  • the broad impression is that social class
    stratification establishes itself primarily as a
    national social structure, though there are
    perhaps also some more local civic hierarchies
    for instance within cities and US states. But it
    should go without saying that classes are defined
    in relation to each other one is higher because
    the other is lower, and vice versa. The lower
    class identity of people in a poor neighbourhood
    is inevitably defined in relation to a hierarchy
    which includes a knowledge of the existence of
    superior classes who may live in other areas some
    distance away.
  •  
  • (Wilkinson and Pickett, 2006 7, my emphasis)

23
Links between income inequality and population
health (Wilkinson and Picket, 2006)
  • The proportion of analyses classified as wholly
    supportive falls from 83 (of all wholly
    supportive or unsupportive) in the international
    studies to 73 in the large sub-national areas,
    to 45 among the smallest spatial units.
  • The spatial scale at which people make their
    social comparisons is more likely to be the
    nation state (arguably reflecting socio-economic
    position) than it is to locality (reflecting
    position within neighbourhood).

24
Geographies of happiness in Britain
Source The British Household Panel Survey, 2001
25
Geographies of unhappiness in Britain
REGION BY SOCIAL CLASS CLASS 1 CLASS 2 CLASS 3 CLASSES 1 - 3 N
Rest of Yorks Humberside 3.3 7.1 7.0 5.9 328
Tyne Wear 10.0 7.1 3.4 7.2 264
East Midlands 5.3 8.1 11.2 7.9 782
Inner London 10.3 5.2 8.8 7.9 418
Rest of North West 4.9 9.2 12.3 8.5 454
South West 11.7 6.7 8.9 8.7 930
Greater Manchester 14.5 8.2 4.8 9.3 416
West Midlands Conurbation 10.5 8.9 8.8 9.3 453
East Anglia 10.7 6.5 13.3 9.5 390
Merseyside 17.6 9.2 0.0 9.5 233
West Yorkshire 14.5 7.7 9.6 10.2 364
Rest of South East 10.5 10.8 8.7 10.3 1,875
Outer London 8.9 13.3 6.9 10.7 668
Rest of West Midlands 8.9 11.6 14.9 11.5 506
Rest of North 19.7 10.4 8.5 12.4 400
Wales 11.1 12.9 15.3 13.0 533
South Yorkshire 17.6 11.6 24.2 15.4 293
Great Britain 10.5 9.3 9.7 9.8 10,264

26
Spatial distribution of unhappiness
27
Modelling happiness and well-being
  • Regression models
  • Multi-level modelling approaches
  • Microsimulation and Spatial Microsimulation

28
What is microsimulation?
  • A technique aiming at building large scale data
    sets
  • Modelling at the microscale
  • A means of modelling real life events by
    simulating the characteristics and actions of the
    individual units that make up the system where
    the events occur

29
A microsimulation approach to happiness research
A person who has had a life of misfortune, with
very little opportunities, and rather little
hope, may be more easily reconciled to
deprivations than others reared in more fortunate
and affluent circumstances. The metric of
happiness may, therefore, distort the extent of
deprivation in a specific and biased way.
(Sen, 1987 45)
30
Towards geographical simulation models of
happiness
  • Census of UK population
  • fine geographical detail
  • Small area data available only in tabular format
    with limited variables to preserve
    confidentiality
  • cross-sectional
  • British Household Panel Survey
  • sample size more than 5,000 households
  • Annual surveys (waves) since 1991
  • Coarse geography
  • Household attrition

31
An extract from the BHPS
PERSON AHID PID AAGE12 SEX AJBSTAT AHLLT AQFVOC ATENURE AJLSEG
1 1000209 10002251 91 2 4 1 1 6 9
2 1000381 10004491 28 1 3 2 0 7 -8
3 1000381 10004521 26 1 3 2 0 7 -8
4 1000667 10007857 58 2 2 2 1 7 -8
5 1001221 10014578 54 2 1 2 0 2 -8
6 1001221 10014608 57 1 2 2 1 2 -8
7 1001418 10016813 36 1 1 2 1 3 -8
8 1001418 10016848 32 2 -7 2 -7 3 -7
9 1001418 10016872 10 1 -8 -8 -8 3 -8
10 1001507 10017933 49 2 1 2 0 2 -8
11 1001507 10017968 46 1 2 2 0 2 -8
12 1001507 10017992 12 2 -8 -8 -8 2 -8
32
A simplified version of Census data
Small area table 1 (household type) Small area table 2 (economic activity of household head) Small area table 3 (tenure status)
Area 1 Area 1 Area 1
60 "married couple households" 80 employed/self-employed 60 owner occupier
20 "Single-person households" 10 unemployed 20 Local Authority or Housing association
20 "Other" 20 other 20 Rented privately
Area 2 Area 2 Area 2
40 "married couple households" 60 employed/self-employed 60 owner occupier
20 "Single-person households" 20 unemployed 20 Local Authority or Housing association
40 "Other" 20 other 20 Rented privately
33
Spatial microsimulation procedures
The construction of a micro-dataset from samples
and surveys Static What-if simulations, in which
the impacts of alternative policy scenarios on
the population are estimated for instance if
there had been no poll tax in 1991 which
communities would have benefited most and which
would have had to have paid more tax in other
forms? Dynamic modelling, to update a basic
micro-dataset and future-oriented what-if
simulations for instance if the current
government had raised income taxes in 1997 what
would the redistributive effects have been
between different socio-economic groups and
between central cities and their suburbs by 2007?
34
Towards geographical models of happiness
  • adding a geographical dimension to explore the
    geography of well-being, based on the estimated
    database through the 1990s and early 2000s
  • maps of well-being can be produced for different
    types of people (i.e. by age)
  • Income and wealth inequalities and happiness
    (what does money buy you in different places?)
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