Asia figures increasingly prominently in comparative research into
happiness and wellbeing. In particular, there are three major issues relevant
to happiness research which are unique to or acute in Asia.
First, there is the
question of how and whether rapid ‘Asian miracle’ income growth rates
translated into happier societies. Second, there is the impact of collectivism,
as opposed to individualism, on happiness and wellbeing. Finally, there is the
gross national happiness measure used in Bhutan. Each provides some curious
insights into the nature of happiness and how we might integrate happiness into
measures of social progress.
Let’s begin with income growth. When many people think about what would
make them happier, there is an instinctive turn to income. It is also a fundamental
tenet of classical economics that income growth is welfare-enhancing. More
money allows for more consumption and this leads to higher utility. In studies of numerous countries using the
World Values Survey and
other large data sets, there is strong evidence that income and life
satisfaction have a consistent relationship.
Instances of rapid income growth have been relatively common in Asia over the past 50 years, notably in Japan and more recently China. This provides us with some useful data.
Curiously, during the boom years of Japan’s economic growth, average
scores on self-reports of life satisfaction were almost flat. In China, the
tremendous growth rates of 1990–2010 have actually seen self-reported life satisfaction
scores decline.
Japan’s flat results have been put down to measurement issues. The
question and scale used to survey happiness were first mistranslated and then
later changed. Once we control for these issues, the expected positive relationship
between income and
happiness appears.
Among those who take the Chinese data at face value, the three most
popular explanations for the negative relationship between life satisfaction
and growth are unemployment, relative income effects (in contrast with absolute
income effects) and adaptation.
Across the spectrum of wellbeing research, unemployment is consistently
found to produce significant and long-lasting negative welfare effects. Being
surrounded by other unemployed people weakens the effect, but it is always substantial.
Large-scale structural reforms to the Chinese economy between 1990 and
2010 resulted in substantial increases in unemployment that correlate neatly with
trends in self-reports of diminished life satisfaction. This suggests that
unemployment might be offsetting the gains from income growth.
A large body of research also underscores the importance of relative rather than just absolute income effects. It is not just important whether you are rich or poor in absolute terms, but whether you are rich or poor by the standards of your neighbourhood. China’s contemporary urban environments confront the relatively poor, including millions of rural migrant workers, with the reality of how poor they are, potentially resulting in unhappiness even as absolute incomes rise.
Finally, there is adaptation, which is basically just the idea that we get used to things. At the
time of a promotion, for example, we are elated. But we quickly take for
granted our new income, status and responsibility, and become dissatisfied once
more.
These explanations are reasonable and conform fairly well to the data,
but there is another more simple explanation for the counterintuitive result that
income does not produce happiness: the data are bad. The trends reported above
suggest that people in China had higher life satisfaction in the aftermath of
the nationwide uprisings and crackdowns of 1989 than in the next two decades of
rapid growth and extensive institutional liberalisation.
So how could the data be wrong? One possibility is rescaling. Life
satisfaction is typically measured on scales, such as from one to 10.
Respondents are interviewed annually and asked what their overall life
satisfaction is ‘taking all things together’. These scores are tracked over
time.
But no information is taken on the qualitative meaning of each number on
the scale. It is possible that people are getting happier but are unable to
communicate this because they cannot report changes in the meaning of these
scales.
A study of Tongan
migrants to New Zealand provides powerful evidence
of rescaling. Visas for would-be migrants are allocated by
lottery, allowing randomised control methods to be used to cleanly measure the
causal effects of migration.
Before the visa lottery, all applicants are interviewed about their life
satisfaction, reporting an average of about 8 out of 10. Two years after
migration, those who moved to New Zealand and those who stayed behind are
interviewed. Both groups report still being 8 out of 10 on average. This
supports the status quo view that migration has little effect on life
satisfaction because people rapidly adapt to their new circumstances.
But this study also asked respondents to reflect on how they felt two
years before the lottery. Those who had to stay in Tonga say they were also 8
out of 10 at that time, whereas the migrants say they were 6 out of 10. This
suggests that the scales used by the migrants have changed. Their current 8 may
be meaningfully higher than their previous 8, but they struggle to communicate this
within the strictures of the scales.
The enormous structural changes that take place during double-digit
growth could be resulting in rapid rescaling. This might explain why income
growth in Asia doesn’t seem to result in big changes in life satisfaction.
Another issue in measurement is conceptual confusion. It is unclear to
what extent responses to life satisfaction questions are driven by the
respondent’s emotional state, which is short term and highly volatile, as
compared with longer-term existential considerations.
We are arguably more interested in whether we are living ‘good lives’
than whether we are merely in a good mood, so what we are measuring is quite
important. Unfortunately, the mainstream literature on happiness has only
recently started even to differentiate between emotional happiness and life
satisfaction, let alone venture into the deep determinants of a subjectively
evaluated ‘good life’.
Still, there is a growing body of research around the importance of
relationships, meaning, and mastery or achievement for holistic well-being. We also
have some preliminary postulates on how to achieve these things.
Foremost among these postulates is the need for self-determination. This is
achieved by orienting oneself towards those activities and values for which one
possesses an intrinsic motivation. On the other hand, conditions of extrinsic
motivation, such as duress or extreme social pressure, limit individuals’
ability to acquire a sense of meaning or achievement through their actions,
because they do not value these activities.
Engaging in intrinsically motivated activities brings about the feeling of ‘flow’, which is
the emotionally pleasurable feeling of being ‘in the zone’. Flow is most common
when individuals are engaged in high-challenge, high-skill tasks, like sports
and hobbies. A sense of mastery and achievement naturally emerges from such
undertakings.
Meaning arises even more forcefully out of the affirmation of intrinsic values, such as in political action or
principled living. Here the individual is engaged in making their life and
their world more closely conform to their ethical codes, a powerfully
meaningful endeavour.
What remains is the satisfaction of the human need for peer-group relatedness.
How can intrinsic motivations, which are grounded in individualism, satisfy such
a social, even collectivist, need?
The answer might lie in the importance of collective action for
affirming intrinsic values. While intrinsic values and motivations originate in
the individual, their articulation and enactment is dependent on others.
Consider the case of a vegetarian. While becoming a vegetarian is a
personal decision, the process of refining this value requires discussion with
other vegetarians and contrarian omnivores, and internalising any arguments
encountered along the way. Affirming vegetarianism in one’s life also requires
a complex network of vegetarian industries and may involve social efforts to
promote such a lifestyle. All of these actions depend on others even though the
original motivation was personal.
So in order to fully realise one’s intrinsic motivations it is necessary
to engage in collective processes within a profoundly social world. This is
where individualism intersects with collectivism. The relatively more
collectivist cultures of Asia provide some very important insights into these
dimensions of wellbeing.
Several studies, notably a recent investigation in Bangladesh, have
underlined the importance of subjective psychological processes even in
collectivist cultures. Even individuals who place a strong importance on
family, tribe, village and group identity nonetheless express a need for
autonomy, voice and individual dignity.
Yet collectivist individuals are also likely to only be able to realise
their intrinsic motivations and values within collectivist cultures. This is
because their intrinsic motivations and values are oriented towards collective
pursuits.
A second important finding for individualism versus collectivism comes
from a comparative study of Japanese and US students. The study found that Japanese students were
more inclined to accept the advice of trusted members of their social circles
rather than ‘find their own path’. They were able to effect an identification with the proffered advice and rapidly internalise
it until it became their own intrinsic motivation.
The US students, by contrast, placed greater emphasis on making their
own decisions. The implication is that the balance between individualism and
collectivism in determining intrinsic aspirations can change across cultures.
How might these nascent ideas in wellbeing research be used to more
efficaciously measure social progress?
Perhaps we could use something like the gross national happiness (GNH)
measure of the small Asian nation of Bhutan. GNH is comprised of a battery of
metrics including income, culture, environmental quality, social capital,
education and health.
The drawback of GNH is that it is substantially just GDP with extra bells and
whistles. It is not grounded in a theory of subjective
wellbeing and remains oriented towards objective indicators of welfare. It is
therefore open to the same criticisms as any wide-ranging collection of
objective measures of welfare, such as the UN’s sustainable development goals.
Two criticisms of GNH are particularly telling. First, it is expensive
to collect data on a myriad of objective development indicators and these
additional indicators are very closely correlated with income growth. It is thus unclear that there is
much of a net benefit to these complex metrics over and above simply measuring
GDP.
Second, turning a large range of metrics into a single value, as in GNH,
requires the state to make value judgements about how to weight each input.
This is open to political abuse. The propensity for such abuse is mitigated in
Bhutan by its small population, Buddhist monoculturalism and seemingly
benevolent elites. But there is little reason to believe GNH would be
practicable anywhere else.
Wellbeing emerges out of psychological processes within individuals. Wellbeing
research will therefore make its best contribution to metrics of social
progress if we can develop a broad understanding of the subjective causes of wellbeing. This is a more
effective goal than simply measuring an ever-expanding collection of objective
things that are correlated with
wellbeing, but do not cause it.
Psychologists are devising increasingly sophisticated survey packets for
measuring emotional and psychological wellbeing on multiple metrics (not just
scales) that preserve the subjectivity of experience. One promising direction
might be to administer such surveys annually to a representative sample of the
population.
Tracking changes on these metrics would provide some information on whether
social change is helping or hindering subjective wellbeing. However, it won’t
tell us much about causality, so we should be cautious about drawing policy
conclusions from such wellbeing data for the time being.
Mark
Fabian is a doctoral candidate in economics at the Crawford School for Public
Policy, The Australian National University.
This piece was originally published in East Asia Forum Quarterly, vol. 8 no. 3, available here.
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