01.12.2016 Views

Leaving no one behind the imperative of inclusive development

full-report

full-report

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Who is being left <strong>behind</strong>? 83<br />

generally lacking, <strong>the</strong> existing evidence indicates that differences exist also<br />

in <strong>the</strong> intrahousehold distribution <strong>of</strong> resources within and across social<br />

groups. Research on <strong>the</strong> gender dimension <strong>of</strong> expenditure allocations shows<br />

that resources are <strong>of</strong>ten <strong>no</strong>t shared equitably between boys and girls − with<br />

boys benefiting disproportionately from investments in health care, private<br />

education and childcare − and that women are <strong>of</strong>ten excluded from eco<strong>no</strong>mic<br />

decision-making within <strong>the</strong>ir households (United Nations, 2015a). Female and<br />

male poverty rates are similar overall, but <strong>no</strong>t at all ages or for all household<br />

characteristics. Women in developed countries are more likely than men to<br />

be poor at older ages, particularly when living al<strong>one</strong>, while differences by<br />

sex among youth aged 18-24 years are <strong>no</strong>ticeable only in a small number<br />

<strong>of</strong> countries. In Latin America and <strong>the</strong> Caribbean in contrast, women are<br />

most likely to be poorer than men in young adulthood, that is, between <strong>the</strong><br />

ages <strong>of</strong> 25 and 34 (United Nations, 2015a). Poverty is also more prevalent<br />

among female-headed households than among male-headed households,<br />

even though poverty reduction has been faster in <strong>the</strong> former, at least across<br />

Africa, since <strong>the</strong> late 1990s (Milazzo and van de Walle, 2015). There are many<br />

characteristics that can affect decision-making and resource allocation within<br />

<strong>the</strong> household beyond sex, namely age and disability, and <strong>the</strong>se vary across<br />

cultures and over time. However, <strong>the</strong>re has been little analysis <strong>of</strong> most <strong>of</strong> <strong>the</strong>m<br />

(Bolt and Bird, 2003).<br />

3. Conclusions<br />

There are significant differences in access to <strong>the</strong> labour market and in<br />

employment opportunities among social groups. These differences persist<br />

in many <strong>of</strong> <strong>the</strong> examples shown once <strong>the</strong> effects <strong>of</strong> education, age structure<br />

and area <strong>of</strong> residence are accounted for. Thus employment inequalities<br />

are <strong>no</strong>t driven exclusively by differences in human capital and o<strong>the</strong>r basic<br />

socioeco<strong>no</strong>mic characteristics. Partly as a result <strong>of</strong> <strong>the</strong>se employment<br />

disadvantages, indige<strong>no</strong>us peoples, ethnic mi<strong>no</strong>rities, migrants and persons<br />

with disabilities are more likely to live in poverty and experience deeper<br />

poverty than <strong>the</strong> rest <strong>of</strong> <strong>the</strong> population.<br />

Discrimination plays a key role in holding back some groups, as<br />

discussed in chapter IV. However, <strong>the</strong> inequalities observed can<strong>no</strong>t be<br />

attributed solely to bias. The characteristics <strong>of</strong> different social groups<br />

and <strong>the</strong> circumstances in which <strong>the</strong>y live or seek employment may <strong>no</strong>t be<br />

comparable even after accounting for <strong>the</strong> effect <strong>of</strong> educational attainment,<br />

place <strong>of</strong> residence or age on employment status. For example, education and<br />

place <strong>of</strong> residence affect access to resources that are <strong>no</strong>t adequately measured<br />

through a basic quantitative approach, namely social capital and eco<strong>no</strong>mic<br />

opportunities. Even within what national censuses or surveys define as rural<br />

areas, <strong>the</strong> places where each ethnic group resides may differ in terms <strong>of</strong> land<br />

endowments, access to services and o<strong>the</strong>r attributes. Alesina, Michalopoulos

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!