Kerala 2005 - of Planning Commission
Kerala 2005 - of Planning Commission
Kerala 2005 - of Planning Commission
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72<br />
2. Congruences and Synergies<br />
2.1 Demographic Dividend<br />
As noted earlier, <strong>Kerala</strong> is now in the final stage <strong>of</strong><br />
demographic transition, with low fertility and mortality,<br />
and its related age structural transition, with an almost<br />
stable young age dependent population, increasing<br />
working age population and older population. The<br />
shift in the age structure produced by the demographic<br />
transition has several social and economic implications.<br />
First, the increase in the supply <strong>of</strong> labour force, both<br />
in absolute and relative terms, can positively influence<br />
economic growth. The huge bulge in the working age<br />
population has greater potential to act as an engine <strong>of</strong><br />
economic growth, if they are absorbed in the labour<br />
market. However, in the case <strong>of</strong> limited opportunity for<br />
employment in the local economy, the large bulge in the<br />
working age population may result in people migrating to<br />
other cities within the country or to other countries where<br />
employment opportunities are greater. Once people<br />
emigrate, the modernisation and technology brought from<br />
such destinations may facilitate innovation and adaptation<br />
<strong>of</strong> technology in the local economy. Demographic<br />
transition also reduces average duration <strong>of</strong> child-bearing<br />
years. Once women complete childbearing, they will be<br />
available for work, if given an opportunity. The increase<br />
in female labour force participation will, in turn, increase<br />
household income, which may influence investment in<br />
the quality <strong>of</strong> children.<br />
Second, fertility decline has immediate direct impact<br />
on the size <strong>of</strong> the school-going population. This will<br />
have implications both at the micro and macro level.<br />
The cost <strong>of</strong> education and health will be reduced due<br />
to a decline in the number <strong>of</strong> children per household.<br />
Keeping the cost per child constant, fertility decline will<br />
contribute towards better quality <strong>of</strong> children with respect<br />
to education and health. Similar implications can also be<br />
observed at the macro level. Several studies have reported<br />
that among other factors, the demographic transition and<br />
the changing age structure <strong>of</strong> the population has played<br />
a favourable role for rapid per capita income growth,<br />
particularly in East and South-East Asian countries.<br />
(Bloom and Williamson, 1997; Mason, 2001). However,<br />
the mechanisms through which demographic transition<br />
has had an effect on economic growth seems to be<br />
different in <strong>Kerala</strong>.<br />
2.1.1 The Age-structural Transition<br />
We start with a discussion <strong>of</strong> the changes in the age<br />
structure <strong>of</strong> <strong>Kerala</strong>’s population from the 1960s. In order<br />
to draw future implications for growth, the projected<br />
age structure till 2021 is used (for details on projection<br />
assumption, see Tharakan and Navaneetham, 2000).<br />
The age structure <strong>of</strong> the population is classified<br />
according to the lifecycle stages and its behaviour<br />
in the general economy as 0-14 (young), 15-24<br />
(youth), 25-44 (prime working), 45-59 (middle) and<br />
60+ (old age). As the young population (0-14) are<br />
dependent on the adults for their consumption, they<br />
incur health and education expenditures. The youth<br />
population (15-24) also consume health and education;<br />
however, the pattern <strong>of</strong> consumption behaviour is<br />
likely to be different from that <strong>of</strong> the young due to<br />
differences in needs and services. The prime working<br />
age population (25-44) save only a little. The population<br />
in the middle age group 45-59 are likely to earn a higher<br />
income because <strong>of</strong> their experience and also to have a<br />
higher savings rate than the 25-44 age group. Old age<br />
people (60+), on the contrary, depend on others for<br />
meeting their consumption needs. Studies have shown<br />
that age share <strong>of</strong> the variables have substantial effects<br />
on per capita GDP growth rate (Lindh and Malmberg,<br />
1999; Andersson, 2001; Navaneetham, 2004).<br />
Figure 5.1 shows the age structural transition in<br />
<strong>Kerala</strong> from 1961 to 2021. It is evident that the age<br />
structure <strong>of</strong> the population did change significantly<br />
between 1961 and 2001. The share <strong>of</strong> the young age<br />
dependent population has consistently declined from<br />
1961 onwards. The decline picked up momentum in<br />
1971.Around 43 per cent <strong>of</strong> the total population were<br />
in the age group <strong>of</strong> 0-14 in 1961 and this share declined<br />
to 30 per cent in 1991 and is likely to reach 19 per cent<br />
in 2021. The old age dependent population increased<br />
from 5.8 per cent <strong>of</strong> the total population in 1961 to<br />
8.8 per cent in 1991 and is likely to reach 17 per cent