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7<br />

variance in life expectancy at different education levels,<br />

even in high income countries, the change to overall life<br />

expectancy would be marginal in most regions due to the<br />

short time horizon <strong>and</strong> modest increases in a population<br />

with a given level of educational attainment. Even in<br />

sub-Saharan Africa, the cohort that would benefit from<br />

universal secondary education will not have reached<br />

ages of high mortality even by 2050. Indeed, robust<br />

studies highlighting the strong impact of education<br />

on life expectancy have used cohorts in high income<br />

countries born in the 1940s (Lager <strong>and</strong> Torss<strong>and</strong>er, 2012),<br />

underlining the long time-frame needed to demonstrate<br />

an education effect on life expectancy.<br />

EDUCATION CAN CHANGE THE COURSE<br />

OF ECONOMIC DEVELOPMENT IN POOR<br />

COUNTRIES<br />

The economic effects of education have been among<br />

the most widely studied (Krueger <strong>and</strong> Lindahl, 2001). Of<br />

particular interest in connection with the SDGs is the role<br />

of education in increasing aggregate economic growth<br />

<strong>and</strong> reducing extreme poverty.<br />

FIGURE 7.3:<br />

Achieving the SDG education target would save millions of<br />

children’s lives<br />

Under-5 mortality rates in the ‘trend’, ‘low’ <strong>and</strong> ‘SDG 4.1’ scenarios, by<br />

region, 2030 <strong>and</strong> 2050<br />

Deaths of children under 5 for every 1,000 live births<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Sub-Saharan Africa<br />

Southern Asia<br />

Caucasus/C. Asia<br />

Northern Africa/W. Asia<br />

Source: Barakat et al. (2016).<br />

Trend scenario: education exp<strong>and</strong>ing at past trends<br />

Low scenario: universal lower secondary completion by 2030<br />

SDG 4.1 scenario: universal upper secondary completion by 2030<br />

2030<br />

Eastern/South-east. Asia<br />

Latin America/Caribbean<br />

Europe/N. America<br />

Sub-Saharan Africa<br />

Southern Asia<br />

Caucasus/C. Asia<br />

Northern Africa/W. Asia<br />

2050<br />

Eastern/South-east. Asia<br />

Latin America/Caribbean<br />

Europe/N. America<br />

Economic growth gains can be enormous in<br />

low income countries<br />

Improvement in human capital is assumed to have two<br />

distinct effects on income per capita. First, it increases<br />

labour productivity. Second, it spurs technological<br />

development <strong>and</strong> adoption, which in turn increases the<br />

productivity of all factors of production.<br />

Yet, as with health effects, the effects of education on<br />

the economy take time to materialize. Young <strong>people</strong> who<br />

benefit from education expansion in the next 15 years<br />

need to enter the labour force in significant numbers<br />

before their additional human capital can make an<br />

impact. This will occur long after 2030. In middle income<br />

countries, the additional growth from achieving universal<br />

secondary education by 2030 would likely be small,<br />

because many of these countries already have relatively<br />

high <strong>and</strong> increasing levels of participation in secondary<br />

education – even under the trend scenario.<br />

In low income countries, though, universalizing upper<br />

secondary completion would lead to an increase in per<br />

capita income of 75% by 2050. Universal lower secondary<br />

completion would account for about half of the gain.<br />

However, this again understates the contribution of<br />

education expansion, as significant education growth is<br />

expected in the baseline trend scenario.<br />

Exp<strong>and</strong>ing education can have a drastic effect on<br />

poverty reduction<br />

To estimate the impact of increased educational<br />

attainment on poverty reduction as achieved through<br />

national economic growth, assumptions are necessary<br />

on how sensitive poverty rates are to growth rates<br />

(Ravallion, 2012).<br />

While accelerated education expansion can make<br />

a sizeable contribution to overall growth, meeting<br />

target 4.1 might not contribute much to eliminating<br />

extreme poverty. In the poorest countries, however,<br />

achieving universal secondary education by 2030<br />

could bring poverty elimination forward by 10 years,<br />

even if it is insufficient to eliminate extreme poverty<br />

altogether by 2030. In particular, the poverty headcount<br />

rate in low income countries – the proportion of the<br />

population living below the poverty line of US$1.25 at<br />

2005 purchasing power parity – would be 24% in the<br />

SDG 4.1 scenario instead of 28% in the trend scenario<br />

by 2030, <strong>and</strong> 2% instead of 9% by 2050 (Figure 7.4).<br />

With 875 million <strong>people</strong> expected to be living in low<br />

income countries in 2050 under the SDG scenario this<br />

would correspond to more than 60 million fewer million<br />

156<br />

CHAPTER 7 | PROJECTIONS: FORECASTING THE EFFECTS OF EDUCATION EXPANSION ON SUSTAINABLE DEVELOPMENT OUTCOMES

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