Chapter 2 cover photo credits: Mark Henley / Panos Picture



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35

Stemming girls’ chronic poverty: Catalysing development change by building just social institutions

have seen projections of 30 to 40 million more men than 

women in China alone by 2020 (The Economist, 2010). In India, 

2001 Census data indicate a national sex ratio of 933 women 

per 1,000 men, which is even lower in some states, such as 

Rajasthan, where the ratio is 921 women to 1,000 men (ibid).

It is important to note that, despite substantial evidence 

that poverty increases the likelihood of sex-specific abortions 

and reduces provision of health care to young girls (see below), 

there is also evidence that son bias among higher-income 

families is prevalent in some contexts (Klasen and Wink, 2003). 

This is especially the case in China, India, Korea, Taiwan and 

Vietnam, where a combination of fertility control policies, the 

importance of securing a male heir for economic and culturo-

religious reasons (see above) and the ability to access often 

expensive new reproductive technologies have fuelled highly 

unequal sex ratios (see Table 2). 

Health and nutritional biases 

Although the figures for female infanticide are alarming, and are 

arguably especially linked to poverty (as better-off households 

are  able  to  afford  high-tech  solutions),  underinvestment  in 

girls’ health and nutrition during childhood is also of critical 

concern, given potential life-course and intergenerational 

impacts. Pande (2003) argues that gender bias may be: ‘The 

result of “active” bias (e.g. “intentional choice to provide health 

care to a sick boy but not to a sick girl”), “passive” neglect (e.g. 

”discovering that a girl is sick later than would be the case for 

a boy, simply because girls may be more neglected in day-to-

day interactions than are boys”) and “selective favouritism” 

(“choices made by resource constrained families that favour 

those children that the family can ill afford to lose”).’ See Box 

12 on immunisation and gender bias.

 Save the Children (2010), for example, argues that gender 

is an important dimension of child survival inequality in 

India. Whereas male neonatal mortality is higher than female 

neonatal  mortality,  reflecting  physiological  differences 

between  the  sexes,  this  trend  is  reversed  for  under-five 

mortality,  reflecting  differences  in  the  care  male  and  female 

children receive. Females have 36 percent higher mortality 

than males in the post-neonatal period, and 61 percent higher 

mortality than males at ages one to four (IIPS, 2007).

13

 In the 


same vein, Arnold et al. (1998) found that son preference led 

to particularly high levels of discrimination against girls in 

Table 2: SIGI son preference scores by country income level

Son preference (2009)

High-income countries 

0.28


Upper-middle-income countries 

0.10


Low-middle-income countries 

0.14


Other low-income countries 

0.13


Middle East and North Africa

0.38


 

Source: http://genderindex.org

Box 12: Immunisation and gender bias 

 

Evidence of immunisation rates favouring sons or daughters within households varies. Socioeconomic status appears to play a key 



role in the decisions that households have to make. Poorer households appear to have to choose more frequently between children in 

terms of vaccinations. Although increased maternal education increases household investments in health, decisions still display gender 

preferences.

Regional differences exist in how sex differentials are manifested. South and Southeast Asia show a bias against girls’ coverage, 

ranging from a 13.4 percent gap in India to 4.3 percent in Nepal. Pakistan has a 7.8 percent gap and Cambodia shows a 4.3 percent 

difference. However, coverage depends on household composition: girls with at least two older brothers and no sisters are as likely 

to be vaccinated as siblings. Girls who have at least two older sisters are 1.72 times less likely to be vaccinated compared with boys 

(Pande and Malhotra, 2006).

Sub-Saharan Africa shows variation between countries. In Gabon and the Gambia, there is also a bias against girls, with a gender gap 

of 7.2 percent and 6.7 percent, respectively. However, in Madagascar, Nigeria and Namibia, there is a bias against boys of 12 percent, 

7.9 percent and 5.6 percent, respectively. It is suggested that this bias against boys owes to fears that vaccinations may reduce male 

fertility.

Source: Jones et al. (2008)



36

2 | Son bias

medical treatment and in the quality of food consumed in a 

number of Indian states where son preference was prevalent.

14

 

There also appears to be a gender gap in breastfeeding, as a 



result of parents’ greater investment in sons. As breastfeeding 

reduces postnatal fertility, girls are weaned early so mothers 

can become pregnant in the hope of conceiving a son 

(Jayachandran and Kuziemko, 2010). This is especially the 

case for girls who do not have an older brother, putting them 

at greater risk of disease from reduced immunity from breast 

milk and greater exposure to dirty water or food (ibid).

15

 



Indeed,  Fikree  and  Pasha  (2004)  argue  that  the  effects  of 

discriminatory social practices contribute to higher death rates 

of female infants, such that, in Pakistan and India, a girl has 

a 30 to 50 percent higher chance of dying than a boy between 

the ages of one and five.

16

 And in China, Li and Lavely (2003) 



found  an  even  stronger  association  between  attitudinal  bias 

towards sons and sex-specific infant death, with female infants 

whose mothers reported it important to have a son almost 

twice as likely to die than their male counterparts (11.5 versus 

6.1 percent). Female infants whose mothers expected a son 

to be a source of financial support also had a higher risk of 

death than male infants (9.1 versus 5.2 percent). This bias is 

often higher in resource-constrained households. Choe et al. 

(1998) found that, in Egypt and Bangladesh, where parents 

were constrained by limited family resources, the preference 

for sons caused parents to allocate nutrition and health care 

preferentially to them.

Reduced educational opportunities 

Although there is broad recognition in development circles 

that girls’ education provides a high return of investment 

for current and future generations (Quisumbing, 2007),

17

 

and is critical to poverty reduction (UNICEF, 2001), gender 



disparities in education persist, particularly in sub-Saharan 

Africa and South and West Asia.

18

 Substantial progress has 



been made over the past two decades in gender parity in 

primary education, but 28 countries still have fewer than 90 

girls in primary school per 100 boys, 18 of these in sub-Saharan 

Africa (UNESCO, 2010). The disparities are much higher again 

at the secondary school level (ibid). In other regions, although 

national-level gender disparities in education are much lower, 

gender gaps do persist among some vulnerable communities, 

for example among indigenous communities in Latin America. 

In Mexico, over 90 percent of all male and female children 

complete at least three years of secondary education but the 

© Sanjit Das / Panos Pictures (2008) 

India, Fatehgarh Saheb, Punjab. In a male dominated society, women and young girls are advised to stay indoors all the time.




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