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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

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