Working Paper
156
Gendered Trajectories
through School, Work and
Marriage in India
Uma Vennam, Anuradha Komanduri and Jennifer Roest
www.younglives.org.uk
AUGUST 2016
Gendered Trajectories through School, Work
and Marriage in India
Uma Vennam, Anuradha Komanduri and Jennifer Roest
© Young Lives 2016
ISBN 978-1-909403-72-7
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GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
Contents
1.
2.
Summary
4
The Authors
4
Acknowledgements
4
Introduction
5
Background to the situation of young people in Andhra Pradesh and
Telangana: legislation, policy and demographics
5
2.1
3.
4.
5.
6.
2.2
2.3
Education
Employment
Marriage/parenthood
Research literature
3.1 Schooling and education
8.
7
7
8
9
3.2 Children’s work and gender norms
10
4.1 Sampling
13
5.1 Transitions within education
14
Individual trajectories from adolescence into early adulthood:
qualitative data and case studies
16
3.3 Marriage and parenthood
About Young Lives: study sample and methodology
Overview of gender-based differences and outcomes at age 19 –
survey trends
5.2
Transition to work
5.3 Transition to marriage for young women
6.1 Education
7.
6
10
12
14
15
16
17
6.2 Work trajectories
22
Conclusion
32
References
34
6.3 Trajectories through marriage and parenthood
Discussion
25
31
3
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
Summary
This paper discusses the school, work and marriage trajectories of young people in Andhra
Pradesh and Telangana in India. It draws on Young Lives qualitative longitudinal data gathered
from 23 young people and their parents, as well as descriptive survey statistics. A case study
approach was used to analyse a selection of young people’s narratives, exploring the intersecting
factors at individual, household and community level that explain their trajectories over time. Early
disadvantages resulting from poverty, family death, debt or illness play a key role in determining
these trajectories, while gender norms influence the different opportunities and social risks that girls
and boys are exposed to and the roles and responsibilities they are expected to fulfil. Most notably,
poverty emerged as a key influencing factor, often irrespective of gender, on young people’s
trajectories. Moreover, it was when families were most financially insecure that gender norms
became most salient and differences between girls’ and boys’ trajectories most distinct. Though
gender roles can be set from a young age, it was not until adolescence that the most substantial
differences began to appear, with poorer girls more likely to experience early school exit and
transition to marriage, while poorer boys became increasingly responsible for providing financially
for their families. The data presented in this paper suggest that gendered differences in girls’ and
boys’ trajectories through education, work and marriage still exist despite the implementation of a
number of state programmes and efforts to address these gaps, with differences emerging most
conspicuously at the point at which poverty and gendered social norms intersect.
The Authors
Uma Vennam is a Professor of Social Work and the Pro Vice Chancellor at Sri Padmavathi
Women’s University, Tirupati, India. She was trained at the Tata Institute of Social Sciences,
Mumbai, and the University of East Anglia, UK. The main topics of her research have been rural
poverty, NGOs and rural development, and children in difficult situations (including trafficking).
Uma is currently the Lead Qualitative Researcher for Young Lives, India. Anuradha Komanduri
is a Professor of Social Work at Sri Padmavathi Women’s University, Tirupati, India, from which
she holds a PhD in child mental health. She is an Assistant Qualitative Researcher for Young
Lives in India. Jennifer Roest is a Qualitative Research Assistant at Young Lives. Her research
focuses on the themes of gender, inequality, poverty, youth and adolescence.
Acknowledgements
The authors thank all the children, families and other community members who participate in
Young Lives research. We are grateful to the William and Flora Hewlett Foundation for providing
the funding for this stream of research, as well as to Gina Crivello for her valuable comments and
Bridget Azubuike for her quantitative research assistance. We would also like to thank Virginia
Morrow for her expert advice and comments.
About Young Lives
Young Lives is an international study of childhood poverty, following the lives of 12,000 children in 4 countries
(Ethiopia, India, Peru and Vietnam) over 15 years. www.younglives.org.uk
Young Lives is funded by UK aid from the Department for International Development (DFID) and co-funded
by Irish Aid from 2014 to 2016. This report is part of a stream of work on ‘Changing women’s lives in social
context: economic growth, cultural norms and the dynamics of gender inequality in Ethiopia, India, Peru and
Vietnam’, funded by the William and Flora Hewlett Foundation.
The views expressed are those of the author(s). They are not necessarily those of, or endorsed by,
Young Lives, the University of Oxford, DFID or other funders.
4
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
1. Introduction
Over recent years India has seen large-scale economic growth. Significant gains have been
made in health and education, and a burgeoning middle class has become established
(World Bank 2016). It is predicted that India will ‘soon have the largest and youngest
workforce the world has ever seen’ (ibid.), and the attention of policymakers is now focused
on how to ‘capture this demographic dividend’ (Government of India 2014: 3). However, there
is also widespread inequality and poverty, which leaves many millions of young people
relatively excluded from the benefits of India’s economic growth (Drèze and Sen 14
November 2011). In 2015, at the launch of his ‘Skill India’ Campaign, Mr Modi, the Prime
Minister of India, explained that
through a policy-driven approach we have waged a war against poverty and we have to
win this war. India’s youth is not happy simply asking for things. He or she wants to live
with pride and dignity. I believe Indian youth has immense talent, they just want
opportunities.
Over the next decade, India will have surplus labour of 40–50 million people. Mr Modi has
warned that without efforts to provide the youth of India with the skills and ability to tackle
global challenges, this demographic dividend will become a challenge in itself.
2. Background to the situation of
young people in Andhra
Pradesh and Telangana:
legislation, policy and
demographics
The National Youth Policy, 2014, defines ‘youth’ as those aged 15 to 29, a group that
constitutes 27.5 per cent of India’s population (Government of India 2014). The National
Youth Policy is one of a number of recent social policies related to young people in India, and
focuses on education, employment, skill development and entrepreneurship as priority areas.
Its objectives are that all young people should (1) have equitable access to high-quality
education; (2) be able to develop the necessary skills required for the labour market; and (3)
be enabled to find decent work and livelihoods. Gender is a major component of the initiative,
which promotes the education, health and empowerment of young women. The Ministry of
Youth and Sports is the main institution responsible for youth at federal level in India and
respective departments support it at state level. However, the Finance Minister of Andhra
Pradesh recently announced (in February 2016) that the State Government would issue its
own youth policy soon, predicted to focus on jobs and skill development for young people in
Andhra Pradesh (Times of India 28 February 2016).
5
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
2.1
Education
In terms of education, one of the key pieces of legislation in recent years has been the Right
to Free and Compulsory Education Act, 2009 (RTE Act). This makes it a constitutional
obligation for all 36 states and union territories in India to provide free and compulsory
education in local schools for all children between the ages of 6 and 14. Alongside the
Education for All Programme, it has led to almost universal enrolment at primary school level
and to greater parity in enrolment between boys and girls. However, India is now seeing
greater disparity in the type of school children enrol into, with ‘children from rural areas, lower
socioeconomic backgrounds and girls [continuing] to be under represented in [low-fee
paying] private schools’ (Woodhead et al. 2013: 2). A private school education is perceived to
confer greater advantage onto students when they reach the labour market than an
education in the free government schools and as of 2012/13, 48 per cent of the 11 million
students enrolled in primary school in united Andhra Pradesh were attending private schools
(Galab et al. 2014a).
In recent years, there has been ‘an increasing focus on the successful transition from primary
to upper primary school and to secondary school’ (ibid.: 1). Enrolment rates have improved at
primary level (particularly for girls and for children from the Scheduled Tribes),1 however,
school performance among children from Young Lives in united Andhra Pradesh (measured
as the percentage of 12-year-olds answering the same maths questions correctly) declined
by 14 per cent between 2006 and 2013, with those from poorer households and from
Scheduled Tribes or Castes achieving the worst test scores (ibid.). For many young people,
particularly those from poorer households, Grade 10 (age 15/16) is the stage at which their
trajectories into continued education, work and/or marriage become established. Education is
free and compulsory up to that point, but beyond then families must make financial
contributions in the form of tuition fees, books, transport, hostel fees and so on. Children’s
performance in their Grade 10 examinations is thus a critical factor in whether poor families
choose to invest further in their child’s education, and children themselves can become demotivated by their poor performance or failure. Concurrently, performing well at school
becomes a real challenge for children if they have little time available to study because of
competing household responsibilities (Morrow 2013a).
Two programmes – the Rashtriya Madhyamik Shiksha Abhiyan (RMSA) (the National
Mission for Secondary Education) and the Rashtriya Ucchtar Shiksha Abhiyan (RUSA) (the
National Higher Education Mission) – have been launched to support secondary and higher
education respectively. he RMSA (2009) targets government secondary schools throughout
India and focuses on quality improvement, information and communication technologies,
access and equity, and integrated education for disabled children. The RUSA (2013)
provides strategic funding to eligible state higher education institutions, with allocation
determined by critical appraisal of each state’s strategy to address issues of equity, access
1
6
The Hindu caste system divided society into a five-fold hierarchy, with Brahmins at the head, followed in order by Kshatriyas,
Vishyas or traders, Shudras or servants, and Dalit/untouchables. Scheduled Castes are the lowest in the caste structure and
were earlier considered to be ‘untouchables’/Dalit. Scheduled Castes have been subjected to discrimination and had no
access to basic services, including education. Backward Castes or Classes are people belonging to a group of castes who
are considered to be ‘backward’ in view of their low level in the caste structure. Other Castes are disadvantaged Shudra
castes. Scheduled Tribes are indigenous communities, who are traditionally disadvantaged and live in forests and
mountainous areas. If they do continue in school, Scheduled Tribe children tend to have to stay in hostels, often from a very
young age. Forward Castes are generally economically better off than the Scheduled Castes and the Scheduled Tribes, who
are not only at the bottom in the structure but are also resource-poor. The Government therefore has special
schemes/programmes to address their needs and facilitate their development.
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
and excellence within said institutions. There are a number of other policies in united Andhra
Pradesh which seek to help girls in particular to stay in school. These include the Girl Child
Protection Scheme 1996–97; the New Girl Child Protection Scheme (established 2005); and
Bangaru Talli MAARPU, an initiative that supports girls’ families from birth until graduation
(MWCD 2015b).
2.2
Employment
Employment provision for young people has been and remains a key challenge in India. The
youth unemployment rate (for the age group 15–24) was 10 per cent according to the 66th
round of the National Sample Survey, in 2009–10. In this context, the Government of Andhra
Pradesh launched an innovative public–private partnership called Rajiv Yuva Kiranalu (RYK)
in 2011 to promote youth employment. RYK aims to train young people (between the ages of
18 and 35) in rural and urban areas, to help them gain employment in the private sector. The
key stakeholders are the State Government, industry, training centres, unemployed young
people, and placement institutions. The initiative works with non-literate and unskilled young
people (and some who are educated but unemployed), including those from rural areas and
slums, those with disabilities and those from minorities (Government of India 2016).
The National Skill Development Agency is responsible for harmonising and coordinating ‘all
skill development efforts of government and the private sector during the Twelfth Plan Period
in order to bridge the social, regional, gender and economic divides in skills across all
regions of the country’ (Galab et al. 2014b: 1).
2.3
Marriage/parenthood
Arranged marriages are the norm in India and childbirth happens predominantly within, and
often follows quickly after, wedlock (Singh and Vennam 2016; Santhya et al. 2010). India is
one of the ten countries with the highest rates of early marriage2 in the world (UNICEF 2014),
though this rate has been declining over the past two decades (Loaiza and Wong 2012). It
fell by 7 per cent nationally between 1993 and 2006 according to National Family Health
Survey of India (NFHS) data and by 36 per cent in Andhra Pradesh specifically between
1993 and 2015 (IIPS 2016).3 However, census data from 2011 revealed that the number of
early marriages taking place nationally had increased in absolute terms by 0.9 million since
2001 (Singh and Vennam 2016). Similarly with regard to early child-bearing, the teenage
pregnancy rate (those who gave birth under the age of 18) declined substantially between
1998 and 2006 (by 21 per cent according to Demographic and Health Survey data) but
absolute numbers are projected to rise in coming years (Edilberto and Mengjia 2013).
Among the states and union territories of India, united Andhra Pradesh had the ninth-highest
population of married children in 2011, but prevalence was similar to the national rate
(Census of India 2011; Singh and Vennam 2016). NFHS-4 data (for 2015/16) revealed fairly
substantial differences in prevalence between rural and urban sites, with rates of both early
marriage and early child-bearing consistently higher in rural areas (see Table 1).
2
The definition of early marriage used in this paper aligns with international norms and standards, i.e. a marriage where one or
both parties are aged below 18 years old.
3
NFHS data from 1992 relate to united Andhra Pradesh whilst data from 2015 used here relate to Andhra Pradesh only. The
prevalence rate for Telangana was 25.7 per cent.
7
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
Table 1.
Child marriage in Andhra Pradesh and Telangana, 2015/16 (%)
Indicator
State
Total
Urban
Rural
Women aged 20–24 years married before age 18 years
Andhra Pradesh
32.7
26.3
35.5
Telangana
25.7
15.7
35.0
11.8
8.8
13.2
10.6
6.5
13.8
Females aged 15–19 years who were already mothers or Andhra Pradesh
pregnant at the time of the survey
Telangana
Source: Roest (forthcoming), compiled from NFHS-4 data.
In 2006, the Child Marriage Restraint Act (CMRA) of 1929 was replaced by the more
progressive Prohibition of Child Marriage Act (PCMA). This strengthened the law by
prohibiting child marriages4 and enabling their annulment for up to two years after any child
involved reached his/her majority (Singh and Vennam 2016). In recent years, there have also
been a number of policy initiatives targeted (directly or indirectly) at reducing child marriage
and early child-bearing. In 2015, for example, the Beti Bachao, Beti Padhao (Save the
daughter, educate the daughter) scheme was launched, aiming to ‘address the issue of
decline in child sex ratio (CSR) in 100 gender critical districts’ (MWCD 2015a: 1). This is
relevant because a lower ratio of girls to boys has been found to exacerbate the purchase of
young brides in some states (Government of India 2006). For further discussion of laws and
policies relevant to early marriage, see Jha et al. (2016); Roest (forthcoming); Singh and
Vennam (2016); and UNICEF (2011).
3. Research literature
There is very little research that focuses specifically on young people’s trajectories in Andhra
Pradesh and Telangana, but there is some research on transitions to adulthood in other parts
of India from a gender perspective. Arnot et al. (2012), for example, explore young women’s
transitions to marriage and motherhood by comparing case studies from rural northern India
(Madhya Pradesh and Rajasthan) and northern Ghana. Some research focuses on schooling
and girls’ education, is cross-sectional and based on surveys, and though there is some
ethnographic research (see Froerer 2011, 2012, 2015 on Scheduled Tribe/Adivasi girls, in
rural Chhattisgarh), there was none for Andhra Pradesh/Telangana that we could locate that
was longitudinal (i.e. tracking the same children over time).5 This is where Young Lives can
make a unique contribution to our understanding of young people’s trajectories, experiences,
and changing hopes and aspirations – taking into account their point of view, and using their
own words (see also Young Lives papers and book chapters, as well as journal articles
written by Young Lives researchers, e.g. Boyden and Crivello 2011; Boyden 2013; Crivello et
al. 2014; Feeny and Crivello 2015; Morrow 2013a, 2013b; Morrow and Crivello 2015; Morrow
and Vennam 2010, 2012; Vennam and Andharia 2012; Vennam and Sarkar 2013).
8
4
Defined as marriages where either party is a child, classified in Indian law as a girl below the age of 18 and a boy below the
age of 21.
5
See also Chakraborty (2012, 2016) on Muslim young people in Kolkata; Jakimow (2016), who writes about hope within a lowincome community in rural Telangana and explores what happens when education no longer fulfils its promise as a pathway to
social mobility; and from an economics perspective, Kabir (2016), who explores transitions from school to work for Muslim
young people in Uttar Pradesh.
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
3.1
Schooling and education
As noted, the roll-out of compulsory primary and secondary schooling in India is relatively
recent. Some research has focused on reasons why girls discontinue schooling, or do not
make the transition to secondary schooling. Shahidul and Karim (2015), in a review of
research in low-income countries, highlight economic factors, household factors, and schoollevel factors. Distance to school is a common reason for girls not to continue in secondary
school in rural areas, if they have to travel. Social norms limit girls’ independent mobility, and
there may be limited transport available. Other structural factors include lack of adequate
facilities and poor teaching standards in schools. Mohanraj (2010), in qualitative research
undertaken with 24 out-of-school girls and their families, as well as schoolteachers and
administrators of the education department in Ratlam district of Madhya Pradesh, India,
found that
[t]he social positioning of girls and women, the perceived future role of girls as mothers
and home-makers, the patri-local marriage system, community pressure and the
usefulness of girls at home have detrimental consequences for girls’ education. These
detrimental consequences are augmented by the ways in which teachers and
educational administrators operate. The absence of an effective implementation system
for the incentives set up by the government to encourage girls into school further
undermines the latter’s educational opportunities.
(Mohanraj 2010: 2)
Ghosh and Sengupta (2012) describe qualitative research on girls’ schooling in Purlia District
in West Bengal, and found that from the families’ perspective, the costs of educating girls
were likely to be higher and the benefits more tenuous than for boys. This discrepancy is
greater and matters more in poor households, where educating girls may seem a less
attractive investment than boys. It is the family, especially the parents, who usually decide
how much education their children will receive. The most frequently cited reasons for girls
leaving school included these: (a) parents suggested it, (b) education not considered useful,
(c) to augment household income, (d) to help with domestic chores, (f) to look after younger
siblings, and (g) economic constraints in the family.
Seasonal migration for work may be a factor in the likelihood of children attending school, but
this has received little attention. Children often accompany their parents when they migrate,
and may drop out of school to work alongside family members in manual work (Smita 2008).
Frequently in such circumstances, girls manage household chores and the young siblings to
release their parents for paid work. The Mahatma Gandhi National Rural Employment
Guarantee Scheme (MGNREGS) seeks (among other objectives) to reduce seasonal
migration, though with mixed results. While for many families it helps their children to stay in
school and to meet the cost of school materials, in other instances children’s school
attendance has been negatively impacted. Where children substituted for ill parents in
MGNREGS directly, or substituted for a parent at home in caring for younger siblings, their
attendance at school was jeopardised (Camfield and Vennam 2012).
Family indebtedness is a common phenomenon in rural areas. It becomes a ‘distress
phenomenon’ if loans are taken out for non-productive purposes, and becomes a heavy
liability if the loan has high rates of interest from non-institutional sources like money-lenders
(Radhakrishna 2007). Indebtedness affects children’s trajectories when they work to repay
family debts. Various factors perpetuate the phenomenon, including poverty, unexpected
expenditure, taking on debts to pay for weddings, buying seeds and fertilizers, inheritance of
9
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
family debts and the presence of money-lenders who encourage small farmers to borrow
(Pujari 2011).
3.2
Children’s work and gender norms
Despite rapid economic growth since 2000, the distribution of income and wealth has
remained highly unequal in India (Drèze and Sen 2011). Because of poverty or near-poverty,
many children need to engage in economic activities (helping with farming or the family
business) to ensure family survival, and new technologies/ agricultural appliances are not
affordable for many families, who must rely on manual labour instead. In a lot of poor
households, children help with farming or family businesses, or engage in domestic chores
such as cooking or fetching water.
Where resources are scarce, household decisions about how tasks are allocated and how
much investment is made in children’s education may be ‘shaped by perceptions of future
opportunities’ (Feeny and Crivello 2015: 4). Girls have fewer employment opportunities than
boys, boys typically have higher earning potential than girls, and it is sons who are
traditionally relied upon to support their parents into old age (Feeny and Crivello 2015; Lin
and Adserà 2012). In a discussion paper for the Institute for the Study of Labor, Lin and
Adserà use data from NFHS-3 (2005–6) to explore the relationship between ‘son preference’
and the extent of children’s housework. They describe how patrilineal and patrilocal norms
still prevail within much of Indian society, whereby ‘only men can continue the family lineage
and daughters after [marriage] traditionally move with their husband’s family’ (2012: 5).
These factors are instrumental in creating son preference, wherein boys often experience
greater investment in their education or training (as noted above); a better quality of care;
more time for play and leisure; and less housework (since this is seen to do little by way of
developing boys’ human capital) (Lin and Adserà 2012).
These norms (particularly in the context of economic hardship) influence the types of work
that are typically undertaken by boys and girls. The latter are seen as destined for
reproductive, caring and other household or unpaid roles in the homes of their in-laws, and
being skilled in domestic chores can be important for girls’ marriageability (Pells and
Woodhead 2014). Indeed, some Young Lives caregivers expressed their concern that girls’
continued attendance at school might impact negatively on their ability to develop and
practise these skills. Girls experience competing demands on their time because of such
work, often with negative repercussions for their experience of school (Hardgrove et al. 2014;
Morrow 2013b). Contrastingly, Lin and Adsera found that, since doing too much housework
was perceived to be unhealthy, ‘parents will refrain from assigning much housework to sons
in order to maintain their health capital’ (2012: 6). In this context it is clear why Young Lives
found that girls were more likely to leave school in order to work than boys, and why boys
were more likely to cite paid work and girls more likely to cite agricultural, domestic or caring
tasks as the reason for school exit (Morrow 2013a).
3.3
Marriage and parenthood
Early marriage and child-bearing have become a focus of policy attention and concern in
India and Young Lives has produced a number of papers on these topics, exploring how
structural factors and social norms intersect to affect the trajectory of girls into early marriage
(Singh and Vennam 2016; Roest forthcoming; and Espinoza and Singh 2016). Young Lives
findings show that, firstly, girls were far more likely to experience early marriage than boys –
28 per cent of Young Lives girls were married before the age of 18 compared to only 1 per
10
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
cent of boys. Second, girls who stayed in school for longer married later – regression
analysis by Singh and Espinoza (2016) showed that not being enrolled in school at the age of
15 was a key predictor of being married by age 19. Third, where resources were limited,
parents were forced to make decisions (particularly regarding education) which were
detrimental to girls and were influenced by gender norms (including those regarding son
preference discussed above). Fourth, girls whose parents aspired for them to stay in school
for longer were found to be less likely to experience early marriage, but those aspirations
diminished during girls’ adolescence6 as the reality of girls’ limited employment opportunities
and lack of alternatives to early marriage became more apparent. Lastly, social norms
encouraged early child-bearing as a means through which young couples should ‘prove’ their
fertility. This was compounded by young people’s limited and inequitable access to sexual
and reproductive health information and services, leading some married girls to give birth
earlier than their other married peers (Singh and Vennam 2016; Roest forthcoming; and
Espinoza and Singh 2016).
Young Lives survey findings also showed that it was girls from the poorest households, living
in rural locations, from more disadvantaged social groups (e.g. Backward Castes or
Scheduled Castes or Tribes) and with less educated caregivers with lower educational
aspirations for their daughters who were most likely to experience early marriage. Similarly,
girls who were themselves less educated and had lower aspirations for their own education
were more likely to be married early. Earlier menarche also meant an earlier marriage for
many girls as parents sought to reduce the time after puberty during which their daughters
could experience pre-marital sexual activity. In this way, marriage was used as a means to
keep girls safe and protect their social reputation.
These findings were consistent with a number of reports that discuss the role played by
rurality, caste, poverty, early menarche, child and parental education level and social norms
in determining the timing of girls’ marriage and first child (see also ICRW 2013; Jha et al.
2016; UNICEF 2012, 2014). Other sources highlight the importance of recognising the
formative role that structural factors (e.g. poverty and limited access to labour markets) play
in creating and reinforcing these (discriminatory) norms. Patriarchal norms that determine
girls’ role in society motivate parents to arrange early marriages for their daughters, since few
alternative paths are available, accessible or imagined (ICRW 2013; Nirantar Trust 2015).
Equally, early marriage is often seen as a protective measure against the risk that the
reputations and safety of girls (and their families) may be compromised by pre-marital
relationships or exposure to sexual violence (Pells 2011). Loss of reputation can be
damaging to girls’ ‘marriageability’ and hence also to their future well-being, since this is
largely seen as dependent upon the arrangement of a suitable marriage alliance. This is
particularly pertinent for poorer families, who are less able to provide financially for their
daughters in the long term (Roest forthcoming).
As noted above, fertility is strongly associated with marriage, and pregnancy and childbirth
often follow quickly after a couple is married. This means that one of the strongest
determinants of early child-bearing is early marriage, and the predictors of the first bear
strong similarity to those of the second; common predictors include enrolment, caste, age of
menarche, parental and child aspirations (Espinoza and Singh 2016).
6
The term adolescence is used to refer to the period of a young person’s life between the ages of 10 and 19 years old, as per
the definition used by the United Nations.
11
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
4. About Young Lives: study
sample and methodology
In order to explore children’s trajectories and pathways to adulthood in Andhra Pradesh and
Telangana, we draw on survey and qualitative data from Young Lives, a longitudinal study of
child poverty in four low- and middle-income countries – Ethiopia, India (the former state of
Andhra Pradesh), Peru and Vietnam – taking place over a 15-year period, 2002–2017.
Young Lives follows 3,000 children each country: 2,000 born in 2000/1 (the Younger Cohort),
and 1,000 born in 1994/5 (the Older Cohort), making a total of 12,000 overall. Young Lives
has collected four rounds of survey data from children, their households and their
communities, in 2002, 2006, 2009 and 2013. This paper draws on Round 4 survey data
relating to the Older Cohort in India. This round was conducted in 2013, when the Older
Cohort were aged 19 and there were 952 young people in the cohort. Findings from the
survey data are complemented by analysis of four rounds of qualitative data, gathered in
2007, 2008, 2010 and 2014. The qualitative research was nested within the collection of
survey data, as illustrated in Figure 1.
Figure 1.
Young Lives survey design
Young Lives longitudinal data collected in 4 countries:
YOUNGER COHORT
OLDER COHORT
Ethiopia, India (Andhra Pradesh and Telangana), Peru, Vietnam
Age:
8
12
15
19
22
Following 1,000 children
Children at same age at
different time points
Age:
Household
and child
survey
1
5
8
12
15
Following 2,000 children
Round 1
2002
Qualitative
data collection
Round 2
2006
Round 3
2009
Qual 1 Qual 2
2007 2008
Round 4
2013
Qual 3
2011
Round 5
2016
Qual 4
2014
Plus thematic sub-studies and school surveys
12
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
4.1
Sampling
For the survey, using sentinel site sampling, 20 sites per country were selected using a propoor sampling method. The sites included urban and rural areas, and represented a range of
regions and contexts that reflected ethnic, geographic and political diversity. Within each
sentinel site, 100 households with a child aged between 6 and 18 months (Younger Cohort)
and 50 households with a child aged between 7 and 8 years (Older Cohort) were randomly
selected (see Barnett et al. 2013). For the qualitative research, four study sites – three rural
and one urban – were selected from the 20 survey sites in order to provide insights into the
survey data. The four qualitative sites were chosen in such a way as to represent the
diversity of the full sample.
The sites have been given pseudonyms to protect respondents’ identity. The four qualitative
sites are known as Patna, Katur, Poompuhar and Polur. Patna is a very poor remote rural
community in the Srikakulam district of Andhra Pradesh; Katur is a poor, rural, drought-prone
mandal in the Rayalaseema region of Andhra Pradesh; Poompuhar is a very poor mandal in
southern Telangana; and Polur, a densely crowded area in Hyderabad, the capital of Andhra
Pradesh. In rural areas, the population is predominantly Hindu, while in urban Hyderabad, it
is predominantly Muslim.
In each Young Lives country, 50 children and their caregivers were drawn from the survey
sample in the qualitative sites (in 2007) for qualitative longitudinal research (see Crivello et
al. 2013; Morrow and Crivello 2015). This paper focuses on the 23 young men and women
from the Older Cohort of the qualitative sub-sample. Young Lives has research ethics
approval from the University of Oxford, and consent was obtained from caregivers and
children (see Morrow 2009). All names of people in this paper are pseudonyms.
For this paper, a mixed-method approach is used. First, we analyse survey data and present
descriptive statistics. These are used to show, for example, whether the young people in the
Older Cohort are engaged in full-time work or education and they are disaggregated
according to socio-economic group (whether young people’s households are from the
poorest, middle or least poor tercile), location, caste and gender. We then use a case study
approach to analyse young people’s narratives over the four rounds of qualitative research,
to explore their hopes and expectations and how these change over time, and their
trajectories (see Crivello et al. 2013). All the Older Cohort young people in the qualitative
sub-sample were grouped on the basis of their trajectories, and factors common to each
trajectory were drawn together for discussion. The children whose individual cases are
discussed in more depth were selected as the most illustrative of various themes identified
from the sub-sample as a whole. The qualitative longitudinal research puts Young Lives in an
advantageous position by allowing for a case analysis of children’s biographies. In addition, it
enables us to look into the factors at the individual, household and community level that
explain the trajectories of these children, particularly the deviations from what they had
expected/reported during the earlier rounds of fieldwork (see Morrow and Crivello 2015).The
limitation of the sample, however, is that it is too small to draw any generalisations, either
quantitative and qualitative.
13
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
5. Overview of gender-based
differences and outcomes at
age 19 – survey trends
This section presents an overview of the outcomes of the Young Lives Older Cohort in India
at the age of 19 (2013), focusing on education, work and marriage/parenthood, while
describing differences by gender, location, caste/ethnicity and socio-economic status. It
summarises trends from Round 4 of the survey and provides context for situating and
understanding the qualitative case studies and findings presented in Section 6.
5.1
Table 2.
Transitions within education
Education/employment status of young people in the Older Cohort, by
gender, location, wealth and caste at 19 (%)
Education/
employment
Only
studying
Total
Gender
Location
Wealth
tercile
Caste
Studying
& paid
work
Studying
& unpaid
work
Studying
& paid &
unpaid
work
Only
work-ing
(paid)
Only
working
(unpaid)
Only
working
(paid &
unpaid
work)
Not
studying
or
working
Total
number
15.65
952
3.66
465
33.4
3.57
8.51
3.05
17.44
6.41
11.97
Male
33.76
4.52
13.33
4.95
23.66
3.66
12.47
Female
33.06
2.67
3.9
1.23
11.5
9.03
11.5
Urban
48.94
4.93
2.11
0.7
19.72
3.17
Rural
26.77
3.01
11.28
4.06
16.39
7.82
Poorest
23.15
1.85
7.41
7.41
23.15
8.33
Middle
22.64
3.72
7.74
3.44
23.21
5.73
Least-poor
43.23
3.84
9.29
1.82
12.12
SC
29.9
3.92
3.43
2.94
ST
30.19
5.66
9.43
3.77
BC
27.79
3.42
9.79
OC
50.74
2.46
10.34
27.1
487
1.06
19.37
284
16.69
13.98
665
19.44
9.26
108
18.91
14.61
349
6.46
5.45
17.78
495
25.98
5.39
12.25
16.18
204
15.09
4.72
16.98
14.15
106
3.64
15.03
8.66
14.58
17.08
439
1.48
15.27
3.45
3.45
12.81
203
Source: Young Lives survey data from Round 4 (2013)
Table 2 shows the education/employment status of the cohort. Overall, one-third were in fulltime education, a little over one-third were in full-time work, either paid or unpaid, one-sixth
were involved in some study and work while the remaining one-sixth neither worked nor
studied. In terms of gender, there was little difference between those engaged in full-time
education – 34 per cent of young men attended full time compared to 33 per cent of young
women. Gender differences were clear, however, in other ways: 23 per cent of young men
combined education and work while the corresponding figure for young women was 8 per
cent. Overall, 57 per cent of young men were still in education (with/without combining this
with work) compared to only 41 per cent of young women. Moreover, a much higher
percentage of young women were categorised as neither working nor studying (27 per cent
female compared to 4 per cent male), though figures may under-represent those who were
14
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
involved in household chores and/or work on the family farm. These activities are neither
paid nor full time and hence are often not recorded.
Location mattered for young people’s educational status; 49 per cent of young people from
urban areas were in full-time education compared to 27 per cent of those in rural areas.
Moreover, only 7 per cent of young people from urban areas were combining education and
work compared to 18 per cent of the ones from rural areas. Consistent with this, a higher
proportion of young people in rural areas were engaging in unpaid work alongside their
studies (11 per cent) compared to those in urban areas (2 per cent). Regarding wealth, as
would be expected, those from the least-poor third of households were more likely to be in
full-time education (43 per cent) than those from the poorest third (23 per cent).
Caste-wise, the data show that young people from the Other Castes were more likely to be
enrolled in full-time education (51 per cent) than those from the Scheduled Castes (30 per
cent), Scheduled Tribes (30 per cent) and Backward Classes (27 per cent). Young people
from the Scheduled Tribes were most likely to be managing both education and work (19 per
cent), followed by those from the Backward Classes (17 per cent), Other Castes (14 per
cent) and Scheduled Castes (10 per cent). Engagement in education and unpaid work was
almost the same across the Scheduled Tribes, Backward Classes and Other Castes while it
was lowest among the Scheduled Castes, at 3 per cent. This could be an indication of the
amount of assets owned by the household, or its resources, a theory which is supported by
the fact that 26 per cent of the Scheduled Caste respondents were engaged in paid work.
Table 3.
Level of education young people were enrolled in at age 19
Current educational level enrolled in
Not enrolled
Male
Female
Total
(No.)
(%)
(No.)
(%)
(No.)
(%)
202
43.44
288
59.14
490
51.47
Secondary
2
0.43
2
0.41
4
0.42
Senior secondary
58
12.47
24
4.93
82
8.61
Post-secondary/vocational
48
10.32
24
4.93
72
7.56
University
155
33.33
149
30.6
304
31.93
Total
465
100
487
100
952
100
Source: Young Lives survey data from Round 4 (2013)
Table 3, above, shows that there was little difference in enrolment between males and
females at the university level – 31 per cent of females and 33 per cent of males were
enrolled. However more young men were enrolled at the senior secondary and postsecondary/vocational levels, for example at polytechnics, industrial training institutes (ITIs),
etc. compared to young women. In terms of their trajectories, it appears that young women
either dropped out early or took a traditional academic route through the education system.
5.2
Transition to work
Engagement in full-time work was quite high; 36 per cent of young people were in paid or
unpaid work at the age of 19. More young men than women were in full-time paid work, while
more young women than young men were engaged in unpaid work, or remained without
work or study (Table 2). Table 4 shows the employment status of those who were working for
pay. Unsurprisingly, young people in rural areas were mostly engaged in agriculture, either
15
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
self-employed or working for wages (58 per cent), while in urban sites they tended to be
employed for wages and salaries, mostly in the informal sector.
Table 4.
Employment type, by gender of young people in work at age 19
Type of activity
Male
Female
Total
(No.)
(%)
(No.)
(%)
(No.)
(%)
Self-employed (agriculture)
114
40.28
95
48.97
209
43.82
Wage-employed (agriculture)
31
10.95
35
18.04
66
13.84
Self-employed (non-agriculture)
37
13.07
30
15.46
67
14.05
Wage-employed, unsalaried (non-agriculture)
41
14.49
10
5.15
51
10.69
Wage-employed, regular salary (non-agriculture)
60
21.2
24
12.37
84
17.61
Total
283
100
194
100
477
100
Source: Young Lives survey data from Round 4 (2013)
5.3
Transition to marriage for young women
The survey data on marriage for young women showed over one-third (36 per cent) were
married by 19. Table 5 shows the marital status of young women in the sample,
disaggregated by caste, revealing that marriage was more prevalent among the Scheduled
Castes (37 per cent), Scheduled Tribes (33 per cent) and Backward Classes (41 per cent)
when compared to the Other Castes (26 per cent) (see also Singh and Vennam 2016; Roest
forthcoming; and Singh and Espinoza 2016).
Table 5.
Females: marital status by caste, aged 19
Marital status
SC
ST
BC
OC
Total
No.
%
No.
%
No.
%
No.
%
No.
%
Single (never married)
63
62.38
40
65.57
124
57.41
81
74.31
308
63.24
Married
37
36.63
20
32.79
89
41.2
28
25.69
174
35.73
Widow
0
0
0
0
1
0.46
0
0
1
0.21
Divorced
1
0.99
0
0
0
0
0
0
1
0.21
Separated
0
0
1
1.64
2
0.93
0
0
3
0.62
101
100
61
100
216
100
109
100
487
100
Total
Source: Young Lives survey data from Round 4 (2013)
6. Individual trajectories from
adolescence into early
adulthood: qualitative data and
case studies
This section describes the schooling, work and marriage trajectories of the 23 case study
children. It uses cases and findings from the qualitative research to explain and reflect on
16
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
trends coming out of the survey described above. Figure 2 depicts the trajectories of the case
study children, showing whether they embarked on a marriage, education or work pathway,
or a combination of these. Our analysis suggests six different pathways, the dominant of
these being moving from full-time education into full-time work for boys, and moving from fulltime education into marriage for girls.
Figure 2.
Trajectories of the qualitative sub-sample in 2014, aged 20
EDUCATION
Boys:
Govindh, Prasad, Vinay
Girls:
Keerthi, Santhi,Triveni
Boys:
Rajesh, Saifuddin
Girls:
Sarada,
Ramya
EDUCATION
Boys:
Salman, Rahmatulla,
Mohan, Subbaiah,
Ranadeep, Yaswanth
Girls:
Preethi
Boys:
Ravi
MARRIAGE &
PARENTHOOD
Girls:
Harika, Latha,
Bhavana, Ameena
Girls:
Sania
6.1
Education
Analysis of survey data revealed that household circumstances and broader structural
factors, including wealth, caste and location, mattered for enrolment; young people from the
least-poor third of households, from the more socially advantaged ‘Other’ Castes and from
urban areas were more likely to be ‘only studying’ at the age of 19 than those from poorer
households, rural areas, or from Scheduled Castes and Tribes or Backward Classes (see
Table 2). Gender also mattered, with girls less likely to be enrolled (43 per cent vs 59 per
cent) and less likely to report combining work with school than boys. As will be explored in
this and subsequent sections, many girls undertook a substantial amount of work alongside
or instead of their studies but, as noted earlier, this work tended to go unrecorded or underrecorded, so that a much higher percentage of girls were categorised as neither working nor
studying than boys (27 per cent vs 4 per cent).
The qualitative case studies of the three young men and three young women who were still
enrolled and ‘only studying’ were consistent with findings from the survey in showing that
household and economic factors played a significant role in determining young people’s
continued enrolment in education.
17
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
6.1.1. Expectations and aspirations
Earlier findings from Young Lives (Galab et al. 2013) showed that parental aspirations had a
positive impact on the probability that a child was enrolled in a private school. Their findings
were further supported by qualitative evidence suggesting that higher parental aspirations for
a child would lead to higher investment in that child’s education. From our qualitative case
studies we found similar indications that caregivers’ expectations and aspirations for their
children’s education were influential for continued enrolment. The cases suggested that
coming from a more financially stable background as well as having a teacher as a caregiver
(possibly because of their own more substantial education) raised caregiver expectations for
children’s educational and employment outcomes, as well as raising the aspirations children
had for themselves. These aspirations then appeared to motivate and encourage children’s
continued enrolment.
Even from when they were very young, Vinay and Santhi’s families held high expectations for
their education. Their fathers were both schoolteachers in government schools. Vinay’s
father was very supportive of his son’s education, planning it together with Vinay so that
Vinay could study to become an engineer. Vinay was sent to a good private school and then,
in 2014, after passing the state-level entrance exam, he travelled about 350 km from his
home to pursue an engineering course in a college. He was experiencing some difficulties
with his studies and his father was becoming an alcoholic when he was interviewed in 2014;
however, he maintained strong aspirations for the future:
I have thought, if in case my future plan goes correctly in M. Tech if I get a good group
and after that if I get a job, related to that course then I am planning to get married, if I
don’t get a [place] in a good college for M. Tech then I will go for civils coaching
[coaching for the civil service exams] and only after achieving civils I will get married,
both ways anything after I achieve.
For Santhi, a Scheduled Tribe girl from Patna, being ‘middle class’ (and from the least-poor
tercile within Young Lives sample) made her family very different from other families from the
same tribal group. Indeed, her pathway through education differed to that of poorer girls
within the qualitative sample. The family moved from Patna to a nearby town in 2005 in order
to access what they perceived to be high-quality schooling for their children. Santhi’s father
was a teacher and her uncle and cousins were engineers and medical students. Initially
Santhi wanted to be a doctor. She did well at school, despite experiencing ill health and great
deal of anxiety about her examinations. Later, she changed her mind and hoped to become
an engineer. Some of the key factors that shaped her trajectory were her father’s education,
his work as a teacher and the importance that all the family members attributed to education.
As well as encouraging Vinay and Santhi’s continued enrolment, family members also
influenced their decisions regarding their careers and fields of study. In 2014, when Santhi
was interviewed for the fourth time, she was happily pursuing a degree in computing, even
though ill health had prevented her from getting into the engineering course she had
previously aspired to. Her parents and uncle had offered her guidance, selected the college
she would attend and also chosen the course she would take.
While Vinay and Santhi were from the least-poor third of families, parental support and
aspirations also seemed to be contributing to the continued enrolment of children from the
poorest households (though other factors were involved as well, such as social support from
government schemes). Keerthi and Prasad’s caregivers maintained high aspirations for their
children’s education, even though their households were originally among the poorest in the
18
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
Young Lives sample. At 19 years old, both Keerthi and Prasad were attending college for
higher education. Keerthi had moved some distance away to study engineering, while
Prasad was pursuing his undergraduate course in a nearby town by commuting every day.
Parental aspirations and support played a key role in both cases. Keerthi described how her
mother and wider family had helped her overcome the difficulties she experienced while
studying at college:
I felt happy in the beginning. But slowly that happiness is gone. More than anything I
have developed the fear that I won’t be able to handle it since I came from [a] Telugu
medium [school]. Due to that I used to get fever and could not attend the college. My
mother understood what I was going through and she encouraged me giving me hope
that I can study. Really, ma’am, she encouraged me constantly and well … Due to her
encouragement I am able to come this far.
Meanwhile Prasad’s family was prepared to pay for private college and, when he failed his
intermediate exams, they enrolled him in computer training so as not to waste that academic
year. As he explains, “[W]hatever they can do they will do … They buy all the note books and
other requirements.” In these cases, family (and particularly parents) were instrumental and
worked determinedly towards the fulfilment of their aspirations for their children. At the same
time, the children were motivated to work towards their parents’ aspirations, which fed into
and reinforced their own.
6.1.2 Early disadvantage and social protection
Two girls from the poorest households, Triveni and Keerthi, also continued to be enrolled in
education despite financial constraints. There were several similar contributory factors in both
cases: first, they received financial support from social protection schemes, second, their
caregivers were strongly supportive of their continued enrolment, and third, they themselves
held high aspirations for their education.
Triveni’s pathway to higher education was not as smooth as that of Santhi, discussed above,
and at every stage she had to persuade her family to allow her to remain in education. This is
more consistent with the findings from the research literature, which show that girls’
education is often undervalued. It may be that these norms were less influential in Santhi’s
case because of the family’s greater financial security. Indeed, in Triveni’s case, obstacles to
her continued education appear to have been overcome predominantly because of the
financial support she received from an NGO.
Triveni lives in Katur and belongs to a Backward Caste. She is the youngest of the three
siblings. When she was first interviewed in 2007, her eldest sister was married and resided in
a nearby village, while the second sister and Triveni lived in another village under the care of
their paternal grandmother. Triveni’s parents died when she was very young and her
grandmother looked after the children using the income she earned by selling vegetables
grown on her small piece of agricultural land. When she was first interviewed, Triveni aspired
to become an ANM (auxiliary nurse midwife). She was confident of staying at school up to
Grade 10, but was not sure of her education after that because of her economic
circumstances. Grade 10 was the minimum educational qualification needed to become an
ANM. Triveni was clear from early on about the need to work hard at school and gain
employment in order to maintain herself, in particular because she did not like the agricultural
tasks (including groundnut harvesting) that she was engaged in during the school holidays.
19
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
Apart from being supported by her grandmother, Triveni received support from a well-known
local NGO which helped the family to build a small house and contributed to Triveni’s
education. After completing Grade 7 at the local government school, Triveni moved to the
school in the neighbouring village, which was 5 km away, and she had to walk all the way,
until the NGO provided her with a bicycle. This motivated her to study well, as did the NGO’s
condition that her education would only continue to be supported if she passed all the
grades.
She worked hard both at home and school, drawing inspiration from her neighbours, who
were prospering in their studies and jobs. The children in their family, however, had not had
to work on farms alongside their education, unlike Triveni who had been combining school
with household chores and wage labour since her childhood. When she was interviewed in
2008, aged 13, Triveni reported that she disliked wage labour ‘because it is very hard to do
that work’; however, at the age of 15 she was still doing daily wage labour during the school
holidays, working under the MGNREGS using her sister’s job card (she was not old enough
to legally enrol for the scheme). As a result of feeling ‘lonely and uncared for’ in the absence
of both parents, Triveni was determined to study well and get a job. In 2014 when she was
interviewed for the fourth time at the age of 19, she was in the second year of her
undergraduate course and continued to receive support from the NGO. She hoped to
become a teacher.
Alongside the support she received from an NGO and her own determination to succeed,
birth order also seems to have played a key part in Triveni’s continued enrolment. Her two
older sisters did not have the opportunity to continue to higher education. Given the
household circumstances, where there were three young girls depending on an aged
grandmother, the focus was on quickly getting them ‘settled down’. Triveni’s oldest sister was
married quite early, and the second one, who provided financially for the family along with the
grandmother, was married a little later. When it came to Triveni, she was allowed to take her
time as she was the only girl left; she was determined to pursue higher education, to get a
job using her qualifications and to not get married until after that.
Keerthi, on the other hand, was the only daughter and the eldest of three children. Her
mother moved the family from their native village to a nearby town to facilitate the children’s
education and made use of all the government provisions available for Tribal children through
the ITDA (Integrated Tribal Development Agency). In both cases, external support (from an
NGO in Triveni’s case and the ITDA in Keerthi’s) enabled the girls to continue in education
despite their poor economic status.
6.1.3 Combining schooling and work
In contrast to the trajectories described above, some children still in education were not able
to attend full time because of competing demands on their time. They needed to work in
order to support themselves and their families. We know from the survey data that boys were
far more likely to report working and studying than girls (23 per cent vs 8 per cent), but these
figures are undermined by the likely under-recording of a wide range of unpaid household
and agricultural tasks regularly undertaken by girls. This may explain why, out of the four
children from the qualitative sample who were combining schooling and work at the age of
19, there were equal numbers of girls and boys. Saifuddin and Rajesh worked part time to
support their families, while Ramya worked seasonally on the family farm and did household
chores, and Sarada worked to pay for her education, took care of her own needs and
supported her family from time to time. Three of the children were from rural areas and only
20
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
Saifuddin was from an urban site. All these young people had started working quite early,
doing household chores and/or working on the family farm, and had gradually moved into
paid work. During their childhoods, they described the difficulty they experienced in
managing both school and work.
For Ramya, whose family was from one of the least-poor households in Young Lives’
sample, her work in the family fields and on household chores conflicted with her education.
She was the youngest of four daughters and so had less responsibility for household chores
than her older sters, but was still tasked with activities such as fetching milk and sweeping,
as well as being required to work in fields on cottonseed and tobacco crops (Morrow and
Vennam 2010).
When Ramya was interviewed in 2008, her work was negatively affecting her school
attendance as well as her ability to study at home. She explained that she was sometimes
scolded or beaten by her teachers for being absent or for not having done her homework,
I feel very bad when teacher scolds me. I like to be regular in school, do homework, but I
can’t do it all, it is difficult. But there is no choice, I have to do all the work that mother
and grandmother say.
Though her mother was sympathetic to Ramya’s desire to go to school rather than work in
the fields, circumstances were such that sometimes her labour was vital – particularly around
harvest time,
If I say “I don’t like to go to the field”, every day, she understands it and does not force
me. If I want to go to school, she will allow me. But she doesn’t let me during the cotton
crop season…if it is done by [too] few people, … the crop goes to waste, that’s why we
have to go every day.
Ramya’s family had also taken on debt (including a loan for her older sisters’ marriages) and
she described how because of this, “I have to work, though it is hard work; we have to clear
the loans”. At this time, Ramya expressed an ambition to study until degree level and
become a teacher. However, her work responsibilities had already impacted negatively on
her studies, causing her to score less than she should have in her seventh grade
examinations (for further discussion of Ramya’s experiences up to the age of 13, see Morrow
and Vennam 2010).
When Ramya was interviewed in 2010, aged 15, she was enrolled in a government junior
college (senior secondary school) in a town about 150 km away and was staying in the hostel
along with her friend (Harika, discussed below) from the same village. The village sarpanch
helped them both to gain admission to the college and hostel. Ramya was happy, mainly
because she was relieved from doing farm work. In 2014, Ramya (aged 19) was back in the
village and was enrolled in a degree college about 30 km away. However, this meant she
had to commute every day by bus, which she found tiring. Now that she was at home, she
had also returned to farm work, as well as to doing the household chores. She found these
impossible to manage, and could only attend college irregularly. She had failed a couple of
exams in the first year, and was due to re-sit them alongside her second year examinations.
Ramya said that she would try and complete the course somehow, but was disappointed in
her performance. She had always felt that balancing school and work was difficult.
21
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
6.1.4 Summary
As mentioned previously, the cases discussed above suggest that economic and household
factors have a key role to play in influencing the trajectories of young people over time.
Where families experienced economic stability and parents were employed in education (or
had themselves been well educated), children appeared better able to commit their time and
attention fully to their studies. Ramya’s case demonstrates the greater difficulty experienced
by children who must (because of their household circumstances and the agricultural nature
of their livelihood) work alongside their education. It was challenging for such children to
complete school and perform well in their academic work. Added to this, children’s
aspirations and ambitions appeared to be influenced by parental aspirations and support;
children’s trajectories through education were influenced by the kinds of role imagined (and
in some cases chosen) for them by their parents.
As regards the three girls who continued in full-time in education (Triveni, Keerthi and
Santhi), their mothers/grandmothers were motivated by their own challenging experiences to
seek a different path for their daughters granddaughters. Education was seen as key for
overcoming poverty and hardship, and they made great efforts to help the girls pursue it.
Girls of a similar age from the same communities did not have similar experiences, perhaps
in part because of their caregivers’ more limited aspirations, though at the same time, these
aspirations are likely to be a function of their household circumstances. For example, more
financially secure families, such as Santhi’s, may feel less pressured by gender norms that
traditionally under-value girls’ education when they make decisions about how to invest their
money. Santhi’s family encouraged her to continue in education rather than marry early.
The cases above also show the critical role that social protection can play in helping children
from poorer backgrounds to overcome the financial constraints to their continued education.
The services for Tribal children for example, and in particular the residential schools for girls,
seem to be making a sizeable contribution to the promotion of higher education among these
groups. The cases above also illuminate some of the norms surrounding birth order,
particularly with regard to girls’ responsibilities. In Triveni and Ramya’s cases, being the
youngest daughter with older sisters meant they experienced fewer demands on their time.
Since the older sisters were able to perform household chores and farming work, their
caregivers were more inclined to support the youngest daughters’ continued education.
6.2
Work trajectories
The survey findings show that boys were more likely to be working in paid roles than girls (24
per cent vs 12 per cent), and girls were slightly more likely to be working unpaid than boys (9
per cent vs. 4 per cent) (Table 2). 27 per cent of girls reported neither studying nor working at
the age of 19 (compared to 4 per cent of boys), but, as mentioned, these figures may hide a
wide variety of unpaid household and agricultural activities. Young people living in rural areas
were more likely to be combining work with study than their urban peers, and those living in
urban areas, from the poorest (and middle) wealth terciles, and from the Scheduled Tribes
were also more likely to be ‘only working’ in paid roles than their peers.
Regarding ‘type’ of employment, girls were slightly more likely to be undertaking farming
work for family than boys (49 per cent vs 40 per cent), and far more likely to be involved in
agricultural activities overall (waged and for family) than boys (67 per cent vs 51 per cent)
(Table 4). Conversely, boys were more likely to be employed in non-agricultural activities,
both unsalaried (but waged) and salaried (36 per cent vs 18 per cent).
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The cases of children in full-time work from the qualitative sample were consistent with these
findings. In 2014, eight young people were working full time, and seven of whom were boys.
The only girl in this category, Sania, did not self-identify as working full time and, although she
undertook housework all day, she describes this as ‘not doing anything’. Four boys initially
managed school and work; Mohan left school after Grade 9 and the other three after failing in
the Grade 10 public examinations. The other three boys’ cases are discussed below.
6.2.1 Boys assume household responsibility
Our qualitative cases confirm that there are strong cultural values of intergenerational
mutuality and interdependence within families and that, where children are required to take
on responsibility in times of household difficulty, it on boys that the expectation of providing
financially for the family often predominantly rests (Morrow 2013a). Of course, this does not
mean that girls are not also contributing work to support their families, and in fact a higher
proportion of girls reported leaving school in order to work than boys (Morrow 2013a), but in
girls’ cases this was more likely to be in order to undertake unpaid household or agricultural
activities, while boys were more likely to leave for paid working activities. Certainly among
our qualitative cases, four of the seven boys assumed greater financial and work
responsibility within their households in times of economic hardship and crisis. Their
increased work responsibilities were eventually too onerous to combine with education,
causing them to leave school.
Among the main triggers for this increased burden of work were debt (often associated with
loans to pay for the weddings of older siblings) and the illness or death of family members.
By the age of 12, Ravi, for example, had hardly attended school but stopped completely at
this point because his family’s debts led him to become debt-bonded to a neighbouring
family. Salman also started work quite early to help his family after the death of his father,
working in shoe shops, at a hotel and later as a driver. His urban location provided him with
multiple work opportunities. Similarly, Rahmatullah had to give up school after the sudden
death of his older brother, who was the main income provider for the family, because of the ill
health of the father. Up until his death, his brother had been doing well and had been paying
for Rahmatullah to attend a (low-fee) private school, where he had stayed until Grade 9
before leaving to start work.
Yaswanth was from a Backward Caste but lived in Patna, a predominantly Scheduled Tribe
community. Throughout his childhood, he described how he could not access the same
services as his Scheduled Tribe peers. Yaswanth’s father died when he was in Grade 1, and
his mother “struggled, worked hard, and took care of me and my sister”. When first
interviewed, in 2007, Yaswanth was helping at home, fetching water and firewood, and
buying provisions from the shops. His mother had high hopes that he would settle into a
“small job”, so that he could take care of her in the future. As the only son, Yaswanth felt very
responsible for his mother, and this sense of responsibility was a constant feature of all his
interviews. In 2010, he said, “I just want to lead a simple life and take care of my mother and
myself.” His sister had recently married and his mother had incurred debts in order to pay her
dowry. The debts were a source of anxiety for Yaswanth as he explained that “if we don’t
repay them they will mortgage my house”.
Yaswanth had also been ill and payment for his treatment had led to further debt. Yaswanth
ideally wanted to finish senior secondary school and to go to university, but when interviewed
in 2010, he was very fearful that he would not complete Grade 10. He described struggling at
school: “I feel I want to study, but I can’t. ... lessons are hard to understand and learn.” The
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GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
economic situation of the family and his difficulty at school meant that Yaswanth was
considering leaving after Grade 10, and was looking for “anything which will earn me and my
mother to lead happy life ... anything, like repairing vehicles ... we must have the capacity to
earn.” He described how he had enjoyed school when he was younger, because at that time,
“we had no debts, now we have debts, so my mother is worried ... she keeps thinking about
the debts.” He also mentioned that she worried “when she has to buy me books because she
will not have money”. Family-oriented expectations seemed to structure his ambitions. In
2014, Yaswanth had discontinued school and migrated to Vijayawada, which is about 500
km away from his native village, to work as a construction labourer. He felt happy that he was
able to contribute to the family, explaining, “[W]hatever the debts we have I am paying back,
helping to build house; if she takes loans to do something I am clearing them.”
6.2.2 Children’s declining aspirations
Children’s aspirations for their education and subsequent employment prospects were
relatively high when they were younger. However, in circumstances of household poverty,
illness, death and debt, our case study children modified their hopes and plans gradually
through adolescence to reflect their diminishing opportunities and prospects. These
modifications brought the plans and aspirations of young people and their parents more
closely into line with the traditional gender roles expected of boys and girls. In times of
economic hardship, for example, boys’ plans were often adjusted towards the pursuit of
financially gainful employment, while girls who were unable to pursue further or higher
education were more likely to focus their expectations on marriage, as were their families.
Ranadeep, for example, initially held high aspirations for continuing in education, but his work
on the family farm conflicted with his education and eventually led to him leave school. He
was from a Backward Caste in Poompuhar and worked in cotton pollination during his
childhood. In 2008, he described how the farm work his family ‘made’ him do conflicted with
his education, leading him to be scolded by teachers for missing school. His ambition was to
study until Grade 11 and attend junior college (senior secondary school) in a nearby town.
He eventually wanted to migrate and start a business running a shop (Morrow 2013a).
However, by 2010 he had left school and was farming. He had failed maths, but had applied
to re-take a supplementary exam. His parents had told him he needed to combine work with
his studies. He said,
[T]here is nobody to work in the fields, and there is no labour ... and we need to pay 100
rupees as wages every day, and we were not able to afford it, so they stopped me from
going to school. [My parents] told me I need to do both work and studies.
By 2014, Ranadeep had re-taken and passed the Grade 10 exams, but after briefly attending
junior college, he found he still needed to work on the farm. This meant his attendance at
college was irregular and he had failed his most recent exams. He was now back working on
the family land.
At this time, he realised that his family’s limited financial circumstances meant he was
unlikely to achieve his ambition of opening a shop (for further discussion of Ranadeep’s
experiences up to the age of 15, see Morrow 2013a).
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GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
6.2.3 Summary
From the above examples we see the substantial impact on children’s educational
trajectories of the work responsibilities they assume as a result of certain household
circumstances, including rurality (and thus having livelihoods based on agriculture),
household poverty and shocks (e.g. debt and the illness and death of family members).
Aspirations diminish differently for boys and girls, so that boys’ plans are often modified
towards supporting their families financially, while girls (as we will see below) are more likely
to find their trajectories directed more quickly towards marriage. The cases also highlight that
children who work face obstacles associated with schools themselves, as well as due to
economic and household factors. Even though children had little choice about missing school
for work, when they could attend they were blamed for their absences rather than offered
understanding and support. Punishments by teachers for absences can make children
reluctant to attend further and demotivate them while at school (Morrow and Singh 2014).
Both Ranadeep and Yaswanth’s cases demonstrate the long-term, multidimensional effects
that poverty and shocks can have on children and their parents’ aspirations and realities.
Ranadeep had initially hoped to use his education to move out of agriculture and into shopkeeping. However, his family’s circumstances and debt meant he was tied to the family farm,
which prevented him from completing his education and finding a livelihood outside of
agriculture. After his father’s death, Yaswanth’s priority became to provide financially for his
family, and thus he pursued any type of work that would pay him. Yaswanth’s primary
objective was to ensure his mother’s financial security and alleviate her anxiety. The debt
incurred through his sister’s marriage added to his economic responsibilities, making it
harder for him to achieve his educational goals. More positively, his construction job enabled
him to fulfil his responsibilities to the family, and in doing so gave him a sense of fulfilment,
pride and happiness. Yaswanth’s case also reinforces the impression that government
schemes are doing much to redress the disadvantage typically experienced by those from
Scheduled Tribes, revealed here through his dissatisfaction that people from the Backward
Castes, like himself, were not receiving similar support even though his circumstances were
extremely difficult. In this way, the scheme is also discriminatory.
Finally, the cases reveal some of the differences between the types of roles and
responsibilities typically undertaken by boys and girls. As expressed, both often do a large
amount of work to support their families, with girls frequently spending more time on work.
However, it is arguably boys who assume greater responsibility for providing economic
support to families, particularly in times of poverty, debt, illness and death. Boys’ working
responsibilities can prevent them from gaining education or training from school or vocational
activities. In this way, families’ heavy reliance on boys for financial support can limit their
future employment prospects.
6.3
Trajectories through marriage and parenthood
By the age of 19, 36 per cent of girls in the Young Lives India sample were married (1 per
cent had been married but were now divorced, separated or widowed). This compares to
only 2 per cent of boys. Of those who were married, 59 per cent already had a child (Galab et
al. 2014b). Of the five married girls in the qualitative sample, three were from the poorest
third of households when first interviewed and none from the least-poor, four were Hindu and
three were from rural sites, one was from a Tribal area and only one from an urban area –
Ameena, a Muslim girl from Hyderabad. Two of the girls, Bhavana and Ameena, were
married at 16 years old, while the remaining three were married when they were 19 or 20
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years old. Four out of the five married girls had already given birth when interviewed in 2014.
Here, we focus on two case studies of girls who married early, Harika and Bhavana, using
them to illustrate how social norms, as well as economic, household- and school-level factors
interact to shape girls’ trajectories into marriage and parenthood.
Harika was from Poompuhar, a very poor rural village in southern Telangana. When
interviewed in 2007, she was struggling to combine school with her other responsibilities. Her
mother’s work in the family fields was their main source of income, since her father was
unable to work, owing to a leg injury. As the only daughter among three children, Harika was
thus responsible for most of the household chores alongside her work in the fields. As a
result she missed school and her academic performance suffered (Morrow 2013b).
She had initially aspired to be a teacher and she won a scholarship in 2008, payable on the
proviso that she remain in education. The aim of the scholarship is to support students from
poorer households to attain higher levels of education and it is paid from Grade 9 to Grade
12, for a maximum of four years. Finances improved for Harika’s family in general in 2008 as
her father recovered from his injury.
Over the next two years, Harika had fewer work responsibilities and she was able to
concentrate more on her education. By 2010, she was at junior college, and hoped to
become a doctor. She explained that education was a means through which one could
achieve a better quality of life – get a better job and make more successful marriage alliance
(with an educated man), which would reduce the need to do hard daily labour,
[Y]ou will have a better life if you study, there will not be much work. You will get better
jobs, ... if you study well, you will get an educated husband. ... if you get a husband who
is in agriculture, you have to go to the fields and work, and if you get an educated
husband, you can be happy.
(For further discussion of Harika’s experiences up to the age of 15, see Morrow 2013b)
Unfortunately, in 2014 she had to leave education because she had not been awarded a
place on a degree course in a college with a hostel. This meant she would have needed to
travel to school each day on the bus, which her brother disapproved of, saying, “[I]t is not
good for girls to go and come every day in the bus, and whatever education she had is
enough” (Singh and Vennam 2016).
Harika’s marriage followed quickly afterwards. It was arranged for the same day as her older
brother’s (though a few hours earlier) in light of community norms regarding auspicious/
inauspicious times to marry and the order in which daughters and sons should be married.
Harika’s grandfather had died five years previously and traditionally marriages in her
community could only be performed in the fifth and ninth years after the death of an elder in
the family. This was the reason for organising her brother’s wedding that year, and after the
family had realised that girls of marriageable age must also be married before their brothers,
they arranged Harika’s marriage for the same time. She explained how “all my family
members decided about my marriage – mother, father, paternal uncle and maternal aunt –
and did not inform me about the wedding in the beginning.”
Harika was married to an educated boy from the same village and, when interviewed in 2014,
she appeared to be happy in her marriage. At that time she was eight months pregnant,
having already had a miscarriage. (For further discussion of Harika’s experiences at the age
of 19, see Singh and Vennam 2016)
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Bhavana was 20 years old when interviewed in 2014. She was living in a rural area of
Karnataka (having grown up in Katur in Andhra Pradesh) with her husband and in-laws. She
had had very little schooling, having left education after Grade 2 at the time her father died.
When her father was alive, Bhavana used to be interested in school work, but after his death
she lost her concentration and interest in it. She continued to accompany her mother and
brothers on their seasonal migration to Mumbai in search of work. Initially Bhavana prepared
the food for the family, then she worked laying roads and doing construction work.
From the first time we interviewed Bhavana, she described learning to work ‘properly’ –
whether at housework or in the fields – in order to avoid problems with in-laws later on. In
2010, Bhavana expected she would marry during the next three years, and foresaw
difficulties with her in-laws. It was important for her to learn how to work well, she said,
because “by the time we go to our husband’s house, we must have learnt all these things . . .
if we don’t know these works . . . they might say ‘What work do you know? What work have
your parents taught you?’. . .so we have to learn now” (see Morrow 2013a).
Bhavana married at the age of 16. She said she was not interested in marriage, but her
brothers convinced her that it was a good alliance. At the time she was afraid and didn’t know
what to expect. After the marriage she went to her in-laws’ home and gradually adjusted. She
continued to do paid farm work on other people’s land, but was now doing all the household
work as well, including cooking, serving the food, washing up, sweeping, and collecting and
heating the water. Bhavana and her mother always thought that marriage was going to be an
escape for her from the difficult circumstances in which she was living. However, when
interviewed in 2014, Bhavana reported that things were not very different after her marriage,
saying “[I]t’s only a different place now.” She seemed to be feeling isolated in her in-laws’
home and her husband sometimes scolded her and was lazy, and he often missed work. She
also had some health problems, which meant that she could not conceive and she was
worried about this.
6.3.1 Social norms and limited household resources
These case studies are consistent with other reports (discussed above) in demonstrating that
girls’ roles and status in society are, to a large extent, shaped by entrenched patriarchal and
patrilocal norms. Their mobility is restricted (particularly after puberty) because of the
reputational risk posed by actual or perceived interactions with boys and men; their
engagement with education or work is shaped by the limited skilled/decent employment
opportunities available to women; their trajectories through marriage are determined
predominantly by their parents and male relatives, leaving them with little say in when or
whom they marry; and the timing of both their marriage and first child are influenced
substantially by pressures from the wider community.
In Harika’s case, after early difficulties combining work with education, she later failed to gain
entry to a higher education college that would have enabled her to avoid a lengthy journey to
school. Her brother decided she should no longer continue in education because of the social
risks posed by this journey. Once she was out of education, a decision made by another of
her male relatives led to her marriage, with the timing of the wedding determined by local
customs. In Bhavana’s case, not only did her male relatives take the decision that she should
be married without consulting her, but the timing of her marriage was also influenced by
pressure from the wider community. Prevailing social norms in her community dictated that a
girl her age (and out of education) should be married, or else the family might be seen as
neglectful.
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It is clear that social norms play a significant role in shaping girls’ trajectories into marriage
and parenthood; however, economic and household factors also play a substantial role and
where resources are limited, gender norms (such as those relating to the value of girls’
education and their vulnerability to social risk) appear to become more salient in decisionmaking – particularly with regard to girls’ early school exit and marriage. If Harika’s family
had been able to afford to pay for her to stay in ‘safe’ accommodation, she might not have
been withdrawn from education. If Bhavana’s family had not experienced the death of her
father and extreme impoverishment, perhaps she too might have continued in education or
not been required to undertake such heavy work (leading her to view early marriage as an
‘escape’). As mentioned earlier, caregivers often look to marriage as a means to secure girls’
future financial welfare and well-being. This may happen more quickly where families are
experiencing poverty themselves, and particularly where parents are worried they may die
soon because of poor health. As Sarada’s mother explained:
They say, ‘What is the guarantee that we live long? So it is better to marry them off.’ They
say that all the time … They want to see their daughter married off before they die. And
then they worry that they are going to die soon.
Where families have more resources at their disposal, they appear to be more inclined to
delay their daughters’ marriage and are not forced to make decisions guided by thoughts of
financial insecurity or early death.
6.3.2 Education as a protective measure
There appears to be a protective element to girls’ continued attendance at school. We see
from Harika and Bhavana’s cases that both had left education prior to getting married.
Indeed, for Harika, marriage followed very quickly after she left school. Sania’s situation was
similar: by 2014 she had given up school because of household circumstances and her
mother was planning to arrange her marriage as soon as the debts incurred in connection
with the elder daughter’s marriage were cleared. When interviewed in 2014, Sania said, “I
am not doing anything. I am not even studying any more. I am just staying in the house. I
have put on weight.” Her mother said she would like Sania to get married in the next two to
three years but would prefer her son to get married first. Conversely, for Keerthi (who was
able to remain in education despite her family’s poor financial circumstances owing to
support from the ITDA), her parents were happy for her to delay her marriage in order to
continue in her education. Her mother explained:
If Keerthi can get a job after her studies then we won’t have to worry about her … when it
comes to her marriage, we are not hurrying. … We were worried whether we could find a
good boy for her. Since she is studying and if she finds a job we don’t have to worry
about her. … We [will] marry her to whomever she likes after she gets into a job.
Education was prized among girls as a way to achieve ‘a better life’, to work less, and to get
‘an educated husband’ who would not require his wife to work in the fields (since he would
not be employed in agriculture). Education also holds out the possibility that girls may acquire
decent employment themselves. In these ways, while girls are still in education there remains
the potential that their future welfare and well-being will be secured, either through a
successful marriage alliance or through their own employment. While this was the case,
parents were not so likely to resort to early marriage; however, once girls left education, there
were few alternatives available for them. Moreover, the longer girls remained unmarried after
puberty, the greater the risk they were perceived to be at of damaging their social reputation
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(and thereby their marriageability) through pre-marital sex or exposure to sexual harassment.
For girls like Harika, Bhavana and Sania, once out of education, their families were highly
motivated to see them under the perceived social and financial protection of marriage.
6.3.3 Early disadvantage and its implications for girls’ marriage
Young Lives caregivers were dedicated to securing their daughters’ future well-being, with
this being seen as highly dependent upon the arrangement of a suitable marriage alliance
(Roest forthcoming). Traditionally, marriageability was largely dependent upon the education,
employment and temperament/character of the male, and the modesty, chastity and skill in
domestic chores of the female. More recently, there has been some movement in social
norms so that, while girls’ education is still seen by many as reducing marriageability (as it
may make a girl less biddable), others feel that being better educated may increase it.
Certainly we heard both views among our sample. Ranadeep, for instance, wanted a wife
with an equal amount of education to himself or less, and Sania’s mother, ‘while she [wanted]
her daughter to continue with schooling, she [was] clear that this should not be at the
expense of learning the domestic skills required to position her favourably in the marriage
market’ (Boyden and Crivello 2011: 178).
Contrastingly, Salman had changed his mind about his future wife’s ideal level of education
and was hoping to marry an educated girl. Crivello et al. (2014) note that ‘before, he wanted
his future wife to be uneducated; now he prefers an educated wife … he thinks that girls
(even if they themselves are not educated) will prefer to marry an educated boy, not “this boy
who drives an auto, or rickshaw”‘ (p. 108). Keerthi’s mother thought that not only was it
important for Keerthi to be educated, but that she should also find paid employment before
looking for a husband:
Then I made it clear to her if we look for alliance after she settles in a job she would
surely find a boy who has job. Having job makes a difference and so it is good to look for
a boy after she finds a job. Otherwise, they would say that she has education but no job.
In comparing Harika and Bhavana’s experiences, we see that household circumstances can
influence when and how a match takes places, as well as affecting the type of man a girl
marries, i.e. whether he has a job, whether he works hard, whether he is prone to violence,
etc. Girls like Bhavana (whose family experienced poverty and bereavement, who had little
education and who was in low-skilled employment), have little leverage or means through
which to negotiate an alliance with a more eligible partner. Her family appears to have
accepted the first possible alliance (her mother said that no other offers had been made) and
since she was extremely unhappy in her situation at the time, Bhavana was hopeful that
marriage would offer some respite from her work responsibilities. Unfortunately, her husband
turned out to have limited employment prospects and a poor work ethic, and her experience
living with her in-laws was unhappy, isolating and physically demanding in terms of the work
expected of her. In this way, girls’ earlier disadvantages can continue to impact negatively
upon their long-term outcomes.
Girls from less disadvantaged households may be able to stay longer in education, may have
a broader network of social connections, and may even be able to obtain their own paid
employment positions. Their families can also afford higher dowry payments and need not
feel so pressured to secure the financial welfare of their daughter at an early age through
marriage. In Harika’s case, though she wished she had been able to wait for a few more
years before getting married, and she again had little say in whom she married, her alliance
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GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
was with a more educated man, from a better-educated family in general. It is this higher
level of education with which she associates her in-laws’ kindness towards and support of
her. Indeed, in their attitude towards women’s work, she even finds them progressive –
again, ascribing this to the men’s education and the experience they have had of looking
after themselves while studying. When interviewed in 2014, she explained:
I have seen how my father and my paternal uncle behave. They never help their women
folks in anything. They just go to the farm and come home and sit idle but never help. But
in my house even after coming home the men would help around the house. In my inlaws’ families when the women wash clothes the men will put them on the clothes line for
drying. They all help the women, because they are all educated. They understand that
one person cannot do everything. But in my parents’ house it is not like that. … The
people who get education often have to stay away for home to pursue studies. So they
end up cooking and cleaning and also doing all the work themselves. So they know how
hard the work is. But people who work in the farms are very crude. They think it is wrong
to do cooking since it is women’s chore. Educated people don’t feel like that, madam.
They don’t mind doing everything.
6.3.4 Knowledge of reproduction and attitudes to fertility
As discussed by Singh and Vennam, a ‘majority of married girls … reported a lack of
awareness about contraceptives and sexual [and] reproductive health’ (2016: 24). In each of
the four cases in our qualitative sub-sample where the married girls had also given birth, lack
of knowledge of reproduction and family planning appears to have played a role in hastening
conception. Latha and Ameena, for example, both spoke of having little knowledge of what to
expect of married life beforehand or about pregnancy, and both became pregnant soon after
their marriages. Harika, too, conceived swiftly after marriage; she conceived five to six
months after marrying in 2013, had a miscarriage after three months, conceived again three
months after that and was eight months pregnant at the time of her interview in 2014. She
had experienced difficulties with both pregnancies and had neither intended nor wanted to
have children so soon, but had had little idea how to prevent this:
Harika: We thought we will not have babies so soon. But it has happened and we did not
want to get rid of it.
Interviewer: Did you use anything to prevent getting pregnant?
Harika: No, we did not use anything. We thought it would be good not to have children
for three years. We never expected to get pregnant so soon.
In Preethi’s case, her husband supported her in continuing her education after getting
married in 2013, but she became pregnant six months later, explaining that at the time, she
had not even known how to tell if she was pregnant. She had also not discussed with her
husband when they would like to have a child.
Compounding the lack of knowledge of sexual and reproductive health is the pressure
experienced by some young couples to prove their fertility by conceiving quickly. This may be
explicit, as in the experience of one young mother from a focus group held in Katur: “If we
don’t conceive immediately then they will comment on us and keep taunting us. They will say
‘Look, she has no children’ and in this way a finger will be pointed at us.” These attitudes may
also be so entrenched that individuals feel an unspoken pressure or do not consciously realise
they are applying pressure to others. In Bhavana’s case, for example, she was very self-
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conscious about not having conceived after three years of marriage. Her husband had told her
he was not worried, but she was still anxious: “They don’t even ask. I myself feel bad.”
7. Discussion
The data presented in the sections above show how various factors at the individual,
household and community levels, and often a combination of these, influence the life
trajectories of boys and girls. It is evident that gender plays a significant role, alongside other
factors, including poverty, bereavement, birth order, location, debt and illness within the
family. Each of these factors shape girls’ and boys’ trajectories in different ways – often
propelling them away from outcomes they had aspired to for themselves. Consistent with
Morrow’s findings regarding the aspirations and schooling of Young Lives children in united
Andhra Pradesh (2013b), some of the case study children’s aspirations appeared to decline
over time in response to certain constraints. Ranadeep and Harika, for example, had each
held high aspirations for continuing in education early on in life, but adjusted these in light of
household poverty and the presence of reputational risk (Harika).
While both boys’ and girls’ aspirations diminished, particularly during adolescence, young
people modified their plans differently depending on their gender. In almost all the cases the
boys were the ones who took on family responsibilities and moved into full-time work while
the girls became engaged in family farm work and household chores in preparation for
marriage. For Ranadeep, norms which encourage sons to share financial responsibility in
times of economic hardship meant that, faced with his own family’s financial insecurity, his
aspirations diminished progressively, from continuing in education, to leaving school but
opening a shop, to leaving school early and remaining in agriculture. Harika had hoped to
continue in education and become a doctor. However, norms that undervalue girls’ education
and see their continued attendance at (and associated travel to) school/college/university as
posing a risk to their own and their families’ social reputations, caused her to leave school
and subsequently enter swiftly into marriage and parenthood.
Regarding education, poverty was a key influencing factor and gender also played an
important role, with our quantitative findings showing that 57 per cent of boys compared to
only 41 per cent of girls were still enrolled in education at the age of 19. However, other
factors also affected children’s ability to continue their education, including parental education,
occupation and both child and parental educational aspirations. In some cases, children and
their caregivers’ high aspirations appeared to help overcome the obstacles caused by poverty
and gendered expectations. However, in these instances other influences were also present,
such as financial support from NGOs or social protection programmes, so that aspiration
alone is unlikely to have been the main determining factor. In Keerthi’s case, for example, her
mother took advantage of the support available to Tribal girls from the ITDA, without which
she may not have been able to encourage her daughter to pursue further education.
Where children combined school and work early in life, it led for some boys to leaving school
and moving towards full-time work and for some girls gradually towards early marriage. The
work burden experienced by children still in school often affects their performance because
of increased absenteeism, and schools show limited sympathy or understanding for children
in this situation. Consequently, these children often lag behind in school, fail to understand
the lessons and get punished by the teachers for poor performance. They easily become
demotivated and gradually drop out of school. Residential schools offer some salve to this
31
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
problem, giving children an opportunity to live away from home, close to their school, in a
safe environment and away from their extra-curricular responsibilities to the household.
Another trend that clearly emerged from the case studies and the survey data was that girls
who were not in school were more likely to get married early. Both Bhavana and Latha
discontinued school at primary level. A couple of years after they reached puberty, their
families gave in to community pressures and the girls were married. Subsequently, couples’
lack of knowledge about reproduction and family planning, combined with their families’
expectations regarding fertility, may be contributing to widespread early pregnancy and
childbirth; indeed, four of the five married girls conceived and gave birth quickly after they
had wed. Delays in having a first child can put pressure on a couple (and on girls in
particular), as in the case of Bhavana, who felt bad about not being able to have a child after
three years of marriage.
Lastly, location played a substantial part in influencing the trajectories of young people, and
there was a big variation between those in full-time education in urban and rural areas (49 vs
27 per cent). Moreover, having to combine school and work seemed almost inevitable for
children from rural areas and this often resulted in premature school exit, full-time work and
early marriage. Young people from rural areas were far more likely to be combining work with
school, predominantly working in agriculture, and there is a need for schools to take a more
sensitive and flexible attitude towards children’s work responsibilities.
8. Conclusion
A combination of intersecting factors can be seen to shape children’s trajectories into
adolescence and early adulthood. Early disadvantages resulting from poverty, family death,
debt or illness play a key role in determining these trajectories, as do gender norms, which
influence the different opportunities and social risks girls and boys are exposed to and the
roles they are expected to fulfil. Most notably, poverty emerged as a key influencing factor,
often irrespective of gender, on young people’s trajectories. Young people from the leastpoor families experienced less need to combine work with their studies and were thus better
able to maintain and pursue their educational and employment aspirations. This was the
case for both young women and young men, so gender was not the key organising principle
here. Indeed, while all young people held high aspirations from a young age, these
diminished among those whose opportunities were limited by poverty, household shocks and
disadvantage.
It was where families were most financially insecure, through poverty, debt, or the death or ill
health of a family member, when gender differences between girls’ and boys’ trajectories
became most distinct. Among the more financially stable, gender norms that devalue girls’
education appeared less salient. Indeed, as can be seen from the survey data, the number of
girls able to continue full time in education, which can require a certain level of financial
security, was almost equal to the number of boys (though there are likely to have been
differences in the type of educational institution they attended). It is where economic
hardships and shocks occurred that girls’ trajectories moved more quickly towards early
school exit and marriage, while for boys it was towards the pursuit of wage-earning activities
in order to fulfill their expected role of financial provider for the family.
32
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
Though some gender roles are set from a young age, for example, those that determine that
girls should undertake more household chores than boys, it was not until adolescence that
many other differences began to appear. Up until this point, there was parity of enrolment in
education, but once children reach secondary school – and particularly at the time of their
Grade 10 exams – boys’ and girls’ trajectories diverged more distinctly. As discussed above,
it is at this point that education stops being free and compulsory and when parents’ decisions
about how to invest in their children became crucial. These choices are influenced by gender
norms (such as those relating to son preference) and, in the case of girls, by the social risks
attached to remaining unmarried for too long after puberty.
Gender norms remain distinctly influential for many young women in determining the timing
of marriage as well as that of the birth of their first child. As we have seen, families are fearful
for multiple reasons of delaying their daughters’ and sisters’ marriages, not least because
parents are concerned to provide for the long-term welfare of their daughters in light of
worries about their own health and mortality. Distance to school and safety on the way to
school emerged as factors that inhibited girls’ continued education. Since girls who stayed
longer in education were marrying later, addressing these problems could help delay girls’
marriages. In certain ways, the norms relating to girls’ education appear to be shifting and
some families are placing greater emphasis on the importance of keeping their daughters in
school. However, this too may be related to the financial stability of the family. Furthermore
the value attached to girls’ education remained strongly tied to the positive impact it could
have on their marriageability; their education was not generally viewed as important in its
own right.
The discussion above and the case studies presented in this paper suggest that gendered
differences still exist in spite of the implementation of a number of programmes and efforts to
address gaps. Indeed, though there is currently policy attention in India on skill development
and increased access to education and employment for young people, for many, poverty and
early disadvantage undermine their ability to take advantage of these opportunities and often
reinforce discriminatory gender norms around girls’ and boys’ roles in society. Much work is
needed to ensure that India’s large-scale economic gains are used to overcome the current
inequities among its young people, rather than allowed to reinforce the disadvantages which
currently hold so many of them back.
33
GENDERED TRAJECTORIES THROUGH SCHOOL, WORK AND MARRIAGE IN INDIA
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37
Gendered Trajectories through School,
Work and Marriage in India
This working paper examines how gender affects girls’ and boys’
school, work and marriage trajectories across adolescence and into
early adulthood in Andhra Pradesh and Telangana in India. It explores
when gender inequality begins to open up in childhood; in which
domains, how and why gender disparities persist across adolescence
and into early adulthood; and, finally, whether and how gendered
norms, values and practices impact on children’s trajectories.
Based on analysis of qualitative longitudinal data, gathered from
children and their parents, and descriptive survey statistics, we find that:
•
•
•
•
early disadvantages resulting from poverty, debt, the illness of a
family member or a death in the family, play a key role in framing
young people’s trajectories, as do gender norms that influence the
different roles, responsibilities, opportunities and social risks that
girls and boys are exposed to;
poverty emerged as a key influencing factor, often irrespective of
gender, on young people’s trajectories;
it was where families were most financially insecure that gender
norms became most salient and differences between girls’ and
boys’ trajectories most distinct;
though gender roles can be set from a young age, it was not until
adolescence that the most substantial differences began to appear,
with poorer girls more likely to leave school early and transition to
marriage, while boys became increasingly responsible for providing
financially for their families.
The data presented in this paper suggest that gendered differences
in girls’ and boys’ trajectories through education, work and marriage
still exist despite the implementation of a number of government
programmes and efforts to address gaps, with differences emerging
most conspicuously at the point at which poverty and gendered social
norms intersect.
About Young Lives
Young Lives is an international study
of childhood poverty, involving 12,000
children in 4 countries over 15 years.
It is led by a team in the Department
of International Development at the
University of Oxford in association
with research and policy partners in
the 4 study countries: Ethiopia, India,
Peru and Vietnam.
Through researching different aspects
of children’s lives, we seek to improve
policies and programmes for children.
Young Lives Partners
Young Lives is coordinated by a small team
based at the University of Oxford, led by
Professor Jo Boyden.
• Ethiopian Development Research Institute,
Ethiopia
• Pankhurst Development Research and
Consulting plc, Ethiopia
• Centre for Economic and Social Studies,
Hyderabad, India
• Save the Children India
• Sri Padmavathi Mahila Visvavidyalayam
(Women’s University), Andhra Pradesh, India
• Grupo de Análisis para el Desarollo
(GRADE), Peru
• Instituto de Investigación Nutricional, Peru
• Centre for Analysis and Forecasting,
Vietnamese Academy of Social Sciences,
Vietnam
• General Statistics Office, Vietnam
• Oxford Department of International
Development, University of Oxford, UK
Contact:
Young Lives
Oxford Department of
International Development,
University of Oxford,
3 Mansfield Road,
Oxford OX1 3TB, UK
Tel: +44 (0)1865 281751
Email:
[email protected]
Website: www.younglives.org.uk
www.younglives.org.uk