Malawi Baseline Survey 2011: Conducted for the ECLT Foundation
Malawi Baseline Survey 2011: Conducted for the ECLT Foundation
Malawi Baseline Survey 2011: Conducted for the ECLT Foundation
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<strong>Malawi</strong> <strong>Baseline</strong> <strong>Survey</strong> <strong>2011</strong>: <strong>Conducted</strong> <strong>for</strong> <strong>the</strong> <strong>ECLT</strong> <strong>Foundation</strong><br />
Research Team<br />
Joseph Chiwaula of Sustainable Development Policy Institute (SDPI),<br />
Bright Sibale, Peter Jere, James Kaphuka, Max Chunga and Ivy Gondwe of Centre <strong>for</strong><br />
Development Management,<br />
Mei Zegers – Independent Consultant,<br />
Leonard Mbwanda of JIMMAT Consulting <strong>Malawi</strong><br />
Technical Assistance Team<br />
Elna Hirschfeld, Helene Aiello, Peter Fridjon, Jenna Kamps and Phuti Mongalo of Khulisa<br />
Management Services (Pty) Ltd
Executive Summary<br />
Introduction<br />
The Government of <strong>Malawi</strong> is faced with <strong>the</strong> challenge of eliminating child labour in <strong>the</strong><br />
Country. Child labour is a violation of <strong>the</strong> rights of <strong>the</strong> child as enshrined by <strong>the</strong> <strong>Malawi</strong>an<br />
Constitution. Child labour puts at risk <strong>the</strong> country’s progress by limiting <strong>the</strong> potential of its<br />
future work<strong>for</strong>ce, its children.<br />
In <strong>Malawi</strong>, <strong>the</strong> Constitution defines a child as a person below <strong>the</strong> age of sixteen. The<br />
Employment Act defines a child as a person under <strong>the</strong> age of 14. The Act prohibits persons<br />
under <strong>the</strong> age of 14 to be employed or work in any public or private agricultural, industrial or<br />
non-industrial undertaking, except if that work is done in a vocational technical school or<br />
o<strong>the</strong>r training institution and is (a) approved and supervised by a public authority; or (b) is an<br />
integral part of <strong>the</strong> educational or vocational training programme <strong>for</strong> which <strong>the</strong> school or<br />
institution is responsible 1 .<br />
In <strong>the</strong> context of this baseline study, a child is defined as a person between <strong>the</strong> ages of 5 and<br />
17 years. In general, <strong>the</strong> term child labour refers to involvement of children in <strong>the</strong> kind of<br />
work that is detrimental to <strong>the</strong>ir development. When measuring statistics on child labour two<br />
issues are considered, i.e.; (i) <strong>the</strong> age of <strong>the</strong> child; and (ii) <strong>the</strong> productive activities in which<br />
<strong>the</strong> child is involved, <strong>the</strong> nature and conditions in which <strong>the</strong>se activities are per<strong>for</strong>med<br />
including <strong>the</strong> time spent in <strong>the</strong> activity. <strong>Malawi</strong> has developed a National Plan of Action<br />
(NPA) against child labour. 2 The Eliminating Child Labour in Tobacco growing <strong>Foundation</strong><br />
(<strong>ECLT</strong>) is committed to supporting <strong>the</strong> <strong>Malawi</strong> Government in implementing <strong>the</strong> NPA through<br />
a new programme called <strong>the</strong> Child Labour Elimination Actions <strong>for</strong> Real (CLEAR) Change<br />
programme that will be implemented in <strong>the</strong> three districts of Mchinji, Ntchisi and Rumphi.<br />
As part of <strong>the</strong> CLEAR Change programme development process, <strong>the</strong> <strong>ECLT</strong> has contracted a<br />
number of local <strong>Malawi</strong>an experts through <strong>the</strong> Centre <strong>for</strong> Development Management (CDM),<br />
in order to conduct a baseline study of child labour in tobacco growing areas in <strong>the</strong>se three<br />
districts. Mchinji and Ntchisi districts are located in <strong>the</strong> Central <strong>Malawi</strong> Region while Rumphi<br />
is in <strong>the</strong> Nor<strong>the</strong>rn Region of <strong>Malawi</strong>. The main objective of <strong>the</strong> baseline survey was to<br />
measure <strong>the</strong> levels and nature of child labour in <strong>the</strong> selected tobacco growing areas within<br />
<strong>the</strong>se focus districts. Findings from <strong>the</strong> baseline study are intended to in<strong>for</strong>m <strong>the</strong> design of<br />
child labour intervention projects <strong>for</strong> <strong>the</strong> CLEAR Change programme.<br />
Planning and implementation of <strong>the</strong> baseline study took place between November, 2010 and<br />
February, <strong>2011</strong>.<br />
Summary Findings<br />
Characteristics of <strong>Survey</strong> Population<br />
The total number of households interviewed in <strong>the</strong> baseline survey was 1645. The total<br />
population in <strong>the</strong>se households was 8,723, of whom 50.3% or 4,389 were male and 49.7%<br />
(4,334) were female. The total number of children aged 5-17 years in <strong>the</strong> sampled<br />
1 http://www.ilo.org/dyn/natlex/docs/WEBTEXT/58791/65218/E00MWI01.htm<br />
2 Ministry of Labour (2009a) Child Labour National Action Plan. Lilongwe: Ministry of Labour
households was 3,689. Of <strong>the</strong>se, 3,584 (95%) were available <strong>for</strong> interviews. Of <strong>the</strong> 3,584<br />
children available <strong>for</strong> interviews, 68 children (approximately 1.8%), ei<strong>the</strong>r refused an<br />
interview or were not fit to be interviewed. A small number of questionnaires within <strong>the</strong> 1.8%<br />
were rejected during data processing due to incompleteness of data.<br />
Based on <strong>the</strong>se population figures, <strong>the</strong> average size of <strong>the</strong> household is 5.3 <strong>for</strong> all three<br />
districts. The average number of children aged 5-17 per household was 2.2. The population<br />
aged 17 years and below comprised 59.1% of <strong>the</strong> survey population, while those aged above<br />
18 comprised 40.9%. Children between ages 5 and 17 years, who are primary targets of<br />
child labour, comprised 42.3% of <strong>the</strong> survey population. Under-five children comprised 16.8<br />
percent of <strong>the</strong> population. The proportion of child headship (child headed households) was<br />
found to be low in all <strong>the</strong> districts surveyed.<br />
Prevalence and Types of Child Labour<br />
- Prevalence of Child Labour<br />
The study found that <strong>the</strong> overall weighted prevalence of child labour (outside <strong>the</strong> household<br />
and in <strong>the</strong> household) is 87.1% in Mchinji, 91.1% in Ntchisi and 93.3% in Rumphi. The<br />
weighted prevalence of child labour in tobacco growing was 54% in Mchinji, 55% in Ntchisi<br />
and 39.8% in Rumphi. By gender, <strong>the</strong> weighted prevalence of child labour in tobacco<br />
growing was 55.5% <strong>for</strong> males and 52.4% <strong>for</strong> females in Mchinji, 59.6% <strong>for</strong> males and 50.6%<br />
<strong>for</strong> females in Ntchisi and 43.5% <strong>for</strong> males and 35.7% <strong>for</strong> females in Rumphi district. In all<br />
three districts, child labour in tobacco growing was higher <strong>for</strong> males than <strong>for</strong> females.<br />
- Children’s Engagement in Economic Activities<br />
Child labour outside <strong>the</strong> household and not related to tobacco growing (engagement in o<strong>the</strong>r<br />
economic activities) was 26.9% in Mchinji, 31.6% in Ntchisi and 47.1% in Rumphi. By<br />
gender, child labour outside <strong>the</strong> household and not related to tobacco growing was 23.1% <strong>for</strong><br />
males and 30.7% <strong>for</strong> females in Mchinji, 24.3% <strong>for</strong> males and 38.6% <strong>for</strong> females in Ntchisi<br />
and 43% <strong>for</strong> males and 51.4% <strong>for</strong> females in Rumphi. Overall, female children worked more<br />
outside <strong>the</strong> household in non-tobacco growing related labour. Child labour outside <strong>the</strong><br />
household and not related to tobacco included <strong>the</strong> selling of small merchandise, working in<br />
<strong>the</strong> field on o<strong>the</strong>r crop types and <strong>the</strong> like.<br />
- Children’s in Engagement in Non-Economic Activities<br />
Child labour resulting from children working more than 28 hours a week on household chores<br />
was 6.3% in Mchinji, 4.6% in Ntchisi and 6.4% in Rumphi. By gender, it was 5.5% <strong>for</strong> males<br />
and 7.1% <strong>for</strong> females in Mchinji, 5.1% <strong>for</strong> males and 4.0% <strong>for</strong> females in Ntchisi district and<br />
5.6% <strong>for</strong> males and 7.2% <strong>for</strong> females in Rumphi district.<br />
The data shows similar work rates <strong>for</strong> male and female children in household chores.<br />
- Summary<br />
The study found that tobacco growing was <strong>the</strong> biggest contributor to child labour in Mchinji<br />
and Ntchisi and o<strong>the</strong>r work outside <strong>the</strong> household was <strong>the</strong> biggest contributor to child labour<br />
in Rumphi. P-values much lower than 0.05 provides evidence to suggest that <strong>the</strong> difference<br />
in prevalence of child labour between districts is highly significant. The table below<br />
summarises <strong>the</strong> baseline findings on child labour.
Weighted Prevalence of Child Labour: Proportion of Children Participating in Child<br />
Labour<br />
Tobacco O<strong>the</strong>r Household Total Weighted n# of<br />
Related Economic chores (%) children aged 5-17<br />
District & Activities Activities (28+ hrs per<br />
years<br />
Gender (%)<br />
(%) week) (%)<br />
Mchinji 54.0 26.9 6.3 87.1 3,789<br />
Male 55.5 23.1 5.5 84.1 1,925<br />
Female 52.4 30.7 7.1 90.2 1,864<br />
Ntchisi 55.0 31.6 4.6 91.1 1,229<br />
Male 59.6 24.3 5.1 89.1 604<br />
Female 50.6 38.6 4.0 93.1 625<br />
Rumphi 39.8 47.1 6.4 93.3 845<br />
Male 43.5 43.2 5.6 92.3 444<br />
Female 35.7 51.4 7.2 94.3 401<br />
- Qualitative Findings<br />
Qualitative interviews with children and o<strong>the</strong>r focus group members in <strong>the</strong> surveyed districts<br />
revealed that <strong>the</strong> most common types of child labour were in agriculture, domestic child<br />
labour and cattle herding. Children employed in domestic activities were reported to also<br />
engage in o<strong>the</strong>r work <strong>for</strong> <strong>the</strong>ir employers, including selling items in <strong>the</strong> street and working on<br />
tobacco farms.<br />
O<strong>the</strong>r types of child labour identified were Commercial Sexual Exploitation of Children<br />
(CSEC), goat herding (seasonally), gambling, operating pool tables, street vending including<br />
at night, bicycle transporting (kabaza), carrying heavy loads (transport, cooked foods to<br />
market), video shop work, restaurant work, brick moulding, wheelbarrow pushing, transport<br />
call boys (call <strong>for</strong> customers when busses arrive), on board bus helpers, money changing,<br />
charcoal making, pimping and errand running at night, <strong>for</strong>ced marriages including abduction,<br />
and quarrying. One practice noted in <strong>the</strong> data was that some parents give <strong>the</strong>ir children a<br />
portion of land to plant <strong>the</strong>ir own crops. What <strong>the</strong>y harvest from that plot of land <strong>the</strong>y are<br />
allowed to use to pay <strong>for</strong> <strong>the</strong>ir schooling. In one case a boy had a ½ hectare of tobacco and<br />
was doing all <strong>the</strong> work by himself. and probably impacting on his school attendance!<br />
Focus group members in all three districts stated that school going children were often<br />
absent from school on market days to help <strong>the</strong>ir parents to sell items. Such children may<br />
help with sales but also help setting up <strong>the</strong> stalls of non-relatives. Some children reported<br />
that, despite <strong>the</strong> work that <strong>the</strong>y have done <strong>for</strong> o<strong>the</strong>rs <strong>the</strong>y were sometimes not paid and, in<br />
some instances, beatings were reported. Despite several visits to <strong>the</strong> Mchinji Chipata border<br />
no children were found to be exchanging money although this may be attributed to three<br />
recent police searches in <strong>the</strong> area.<br />
The qualitative research also included <strong>the</strong> recording of children observed working while <strong>the</strong><br />
research teams were travelling through <strong>the</strong> research sites. One third of <strong>the</strong> children directly<br />
observed were seen working in tobacco growing or harvesting/processing. Nearly one third<br />
were observed working as cattle herders and far fewer were observed doing o<strong>the</strong>r<br />
agricultural work, domestic or o<strong>the</strong>r types of work. This data should be interpreted with<br />
caution as some types of child labour are more hidden than o<strong>the</strong>rs.<br />
It is, never<strong>the</strong>less, noteworthy that more children were seen working in tobacco than in o<strong>the</strong>r<br />
<strong>for</strong>ms of agriculture. One third to almost one half of <strong>the</strong> children were estimated to work in<br />
tobacco growing. In Rumphi about one in ten children was thought to do cattle herding while
in Ntchisi <strong>the</strong> proportion was about one in three children and in Mchinji one in five. In all<br />
three districts about one in ten children - slightly more in <strong>the</strong> case of Rumphi - were thought<br />
to be victims to <strong>the</strong> commercial sexual exploitation of children (CSEC) at least part time.<br />
Focus group members indicated that CSEC is quite visible in public areas and bars.<br />
Education and <strong>the</strong> Child<br />
- Literacy Rate<br />
The baseline findings show that about 31.3% of children (5-17 years of age) in Rumphi,<br />
27.4% in Mchinji and 33.2% in Ntchisi were able to read. Similar percentages of children<br />
(31.5% <strong>for</strong> Rumphi, 27.1% <strong>for</strong> Mchinji and 31.8% <strong>for</strong> Ntchisi) were able to write. The<br />
weighted literacy rates <strong>for</strong> children interviewed in <strong>the</strong> research areas in Ntchisi and Rumphi<br />
was higher than in Mchinji. As expected, older children possessed better reading ability than<br />
<strong>the</strong> younger ones. More girls (8.6% <strong>for</strong> Rumphi, 3.3% <strong>for</strong> Mchinji and 6.3% <strong>for</strong> Ntchisi) aged<br />
between 5-9 years are able to read than boys (1.1% <strong>for</strong> Rumphi, 2.5% <strong>for</strong> Mchinji and 3.3%<br />
<strong>for</strong> Ntchisi) across <strong>the</strong> study areas in <strong>the</strong> three districts. A similar trend was found <strong>for</strong> o<strong>the</strong>r<br />
age categories. These same trends were also found <strong>for</strong> <strong>the</strong>ir ability to write.<br />
In <strong>the</strong> Mchinji study areas, however, more children were able to read within <strong>the</strong> age category<br />
of 14-17 years, than those Rumphi and Ntchisi. As expected, <strong>the</strong> ability to read was found to<br />
be is much lower in <strong>the</strong> younger children (aged 5-9 years), but rapidly increased as children<br />
graduated from aged groups 5-9 years to 10-13 years old. This is <strong>the</strong> period when learners<br />
are promoted to senior primary school (Standard Six), but it is also typically <strong>the</strong> age at which<br />
<strong>the</strong> school drop-out rate increases <strong>for</strong> both boys and girls.<br />
- School Attendance<br />
In terms of school attendance, <strong>the</strong> weighted percentage of all children aged 5-17 years<br />
interviewed and currently attending school (at <strong>the</strong> time of <strong>the</strong> survey) was <strong>the</strong> highest in <strong>the</strong><br />
Rumphi study areas (94.9%) followed by those in Mchinji (87.2%) and Ntchisi (82.4%) study<br />
areas. Ntchisi had <strong>the</strong> highest percentage of school going age children that were not in<br />
school during <strong>the</strong> current academic school year (17.6%) compared to Mchinji (12.8%) and to<br />
a lesser extent, Rumphi (5.1%). The out-of-school children are more vulnerable to<br />
exploitative labour practices.<br />
In both Mchinji and Ntchisi about a quarter (29.0% <strong>for</strong> boys and 23.7% <strong>for</strong> girls) in <strong>the</strong> Ntchisi<br />
study areas and approximately one fifth (21.6% <strong>for</strong> boys and 15.3% <strong>for</strong> girls), <strong>for</strong> those in<br />
Mchinji study areas in <strong>the</strong> age category 5-9 years were not in school. Across <strong>the</strong> three<br />
districts <strong>the</strong> trend is that more boys than girls within this age group were not in school. For<br />
<strong>the</strong> children aged 5-17 years old who were not in school, <strong>the</strong> survey asked if <strong>the</strong>y had ever<br />
been to school. Overall, across <strong>the</strong> study areas, 60.4% had never attended school at all.<br />
Ntchisi had 64.8%, Rumphi had 58.1% and Mchinji had 57.7% who had never been at<br />
school. More boys than girls (63.7% vs. 56.5% respectively) were likely to have never<br />
attended school<br />
-Absenteeism from School<br />
Children who were attending school were asked if <strong>the</strong>y had been absent from school any day<br />
of <strong>the</strong> school week prior to <strong>the</strong> interview. Across <strong>the</strong> study areas, 38.7% of children of both<br />
genders had been absent from school <strong>for</strong> at least one day. 3 In Rumphi, 40.8% had missed at<br />
least one day, while in Mchinji and Ntchisi, those that missed at least a day were 38.4% and<br />
3 Confidence intervals=35.2% and 42.3%
37.6% respectively. In all research areas, children in <strong>the</strong> age group 5-9 years were more<br />
likely to miss school than those in <strong>the</strong> older age groups. In all age groups, girls were more<br />
likely to miss school days than boys-possibly because girls more than boys work to support<br />
<strong>the</strong>ir mo<strong>the</strong>rs in domestic chores. About 47.1% of girls of all age groups missed school days<br />
in Rumphi, compared to 35.1% <strong>for</strong> boys. In Mchinji, absenteeism was similar <strong>for</strong> girls<br />
(39.4%) and boys (37.4%). In Ntchisi, it was 39.0% <strong>for</strong> girls and 36.0% <strong>for</strong> boys,<br />
respectively.<br />
The average weighted number of school days missed in <strong>the</strong> past seven days was 2.0 <strong>for</strong><br />
Rumphi, 1.9 <strong>for</strong> Ntchisi and 2.2 <strong>for</strong> Mchinji. These days represent almost half <strong>the</strong> school<br />
week of 5 days. Missing school days can result in poor per<strong>for</strong>mance of children during<br />
exams or weekly tests, which may de-motivate learners from remaining in school. Such<br />
learners are at increased risk <strong>for</strong> dropping out of school.<br />
- Age of school enrolment<br />
The- baseline findings show that about 42.5% of all learners that were attending school<br />
begun <strong>the</strong>ir schooling when <strong>the</strong>y were six years old. In Rumphi, about 53.4% begun <strong>the</strong>ir<br />
school at <strong>the</strong> official age of six years, compared to Mchinji (34.2%) and Ntchisi (47.8%).<br />
Across study areas, 26.6% started school below <strong>the</strong> official age while 31.9% started later<br />
than <strong>the</strong> age of six years. About 40.1% of boys and 42.8% of girls enrolled <strong>for</strong> <strong>the</strong> first time in<br />
Standard 1 at <strong>the</strong> correct official age of six years. About 25.8% of boys and 27.2% of girls<br />
enrolled below <strong>the</strong> age of five years, while <strong>the</strong> remaining number of children (34.1% <strong>for</strong> boys<br />
and 27.2% <strong>for</strong> girls) enrolled at an age older that <strong>the</strong> official admission age. Boys tended to<br />
start school at an older age than girls.<br />
- Learner teacher Ratio & School Drop-Out Rate and Age<br />
The learner teacher ratio is a strong determinant of <strong>the</strong> teaching environment at school. The<br />
ratio was highest <strong>for</strong> Mchinji at 90:1, followed by Ntchisi at 76:1, representing 49% and 26%<br />
above <strong>the</strong> national standard respectively. The ratio <strong>for</strong> Rumphi was 59:1, slightly below <strong>the</strong><br />
national standard ratio of 59:1.<br />
For those children in primary school who at some point attended school but had dropped out,<br />
<strong>the</strong> study results indicate that <strong>the</strong> average school drop-out age <strong>for</strong> both boys and girls was 11<br />
years <strong>for</strong> those in <strong>the</strong> Mchinji study areas, 12 years <strong>for</strong> those in <strong>the</strong> Ntchisi areas and 11<br />
years <strong>for</strong> boys and 12 years <strong>for</strong> girls respectively in <strong>the</strong> Rumphi research areas. According<br />
to <strong>the</strong> education management in<strong>for</strong>mation system (EMIS) of 2009 <strong>the</strong> greatest number of<br />
children who dropped out of school from <strong>the</strong> three surveyed districts, did so due to family<br />
responsibilities Family responsibilities included work to support parents, agriculture,<br />
involvement in care and support of family members and many o<strong>the</strong>r roles that children play<br />
at home. The problem was most prominent in Ntchisi and Mchinji, where it accounted <strong>for</strong><br />
about 49% and 45% of drop-outs in contrast to to 23% <strong>for</strong> Rumphi.<br />
Household Economy and Livelihoods<br />
- Agriculture<br />
Agriculture is <strong>the</strong> backbone of <strong>the</strong> economy of <strong>Malawi</strong> and reports indicate that <strong>the</strong> sector<br />
provides livelihoods to over 85% of <strong>the</strong> population that live in <strong>the</strong> rural areas. This is also<br />
true <strong>for</strong> <strong>the</strong> districts included in <strong>the</strong> baseline study. The baseline study found that agriculture,<br />
especially crop production sales, was mentioned as <strong>the</strong> main source of livelihoods <strong>for</strong> 75.0%<br />
of <strong>the</strong> households interviewed across all survey areas.
Compared between districts, about 88.1% of households in surveyed areas in Ntchisi<br />
depended on agriculture (both crops and livestock), much more so than in surveyed areas of<br />
Mchinji (69.0%) and Rumphi (66.6%). Almost all households (97.1%) in <strong>the</strong> surveyed areas<br />
planted some crops in 2009/10 season. The main crops that <strong>the</strong> all households in <strong>the</strong><br />
surveyed areas grow <strong>for</strong> food are maize (96.1%) and tobacco and groundnuts as commercial<br />
or cash crops. Almost all sampled households (96.1%) in all <strong>the</strong> three districts grew maize<br />
(Ntchisi at 98.9%, Mchinji, 95.2% and Rumphi, 94.1% respectively). The high dependence<br />
on agriculture <strong>for</strong> livelihoods may also explain why child labour is high in <strong>the</strong> surveyed areas.<br />
It can be argued that maize production is also a commercial crop, at least <strong>for</strong> <strong>the</strong> 32% of <strong>the</strong><br />
baseline study households that had sold some of <strong>the</strong> maize to earn income. The production<br />
of maize, which is often grown in association with tobacco, should also be monitored,<br />
especially in <strong>the</strong> context of how maize-based farming systems influence child labour.<br />
Tobacco was grown by 40.6% of all households, with 43.1% grown in Rumphi, 49.0% in<br />
Ntchisi and 34.8% in Mchinji.<br />
The baseline data also showed that livelihoods in <strong>the</strong>se tobacco growing areas are too<br />
dependent on agriculture, which is also mostly rain-fed. Livelihood diversification is limited.<br />
This makes households particularly vulnerable to poverty in times of drought, o<strong>the</strong>r natural<br />
disasters or when crop prices, including tobacco, are poor. Such conditions can facilitate<br />
child labour. Fur<strong>the</strong>rmore, tobacco growers do not have any influence in setting prices in <strong>the</strong><br />
open market and this is heavily driven by <strong>the</strong> volume and quality of tobacco during picking<br />
season.<br />
- Coping Strategies<br />
The study also found that ganyu (casual labour/piece work) was an important livelihood<br />
strategy and 7.2% of households in all study areas depended on it as <strong>the</strong>ir main source of<br />
livelihoods. Experience with local communities in <strong>Malawi</strong> often shows that when parents<br />
undertake ganyu, <strong>the</strong>y often involve <strong>the</strong>ir children to complete <strong>the</strong> work quickly or undertake<br />
ganyu farming chores to earn more income or food. Children who are supporting <strong>the</strong>ir<br />
parents in ganyu production often are absent from school during <strong>the</strong>se days. During <strong>the</strong><br />
peak of <strong>the</strong> lean period of <strong>the</strong> year (January to February), where food shortages are at <strong>the</strong><br />
peak, more ganyu is taking place to enable households to earn money or food.<br />
- Asset Ownership<br />
Using asset ownership as a proxy <strong>for</strong> poverty, <strong>the</strong> baseline revealed that poverty is very high<br />
amongst interviewed households. About half of all (49.0%) households in all three districts<br />
owned a bicycle. Mchinji and Rumphi had similar percentages of households that owned a<br />
bicycle (51.8% and 50.9% respectively). In <strong>the</strong> <strong>Malawi</strong>an context, a bicycle is a major <strong>for</strong>m<br />
of transport and at community level, a household without a bicycle is generally viewed as<br />
poor. The percentage of households that had a mobile phone was reasonable (36.7%<br />
across surveyed areas) with <strong>the</strong> highest coverage being recorded in <strong>the</strong> study areas in<br />
Rumphi (66.5% of all household had a mobile phone), followed by Ntchisi (33.0%) and <strong>the</strong>n<br />
Mchinji (29.1%). The greatest number of respondents who had <strong>the</strong>ir own land was <strong>the</strong><br />
highest in Ntchisi (90.5%) followed by Rumphi (85.6%) and to a lesser extent, Mchinji<br />
(73.6%). About 51.5% of households had a radio, with 62.9% of households in Rumphi, and<br />
53.8% in Ntchisi and 46.2% in Mchinji respectively.<br />
Of all <strong>the</strong> households interviewed, about 79% owned a parcel of land. Overall, <strong>the</strong> baseline<br />
study found that 67.7% of <strong>the</strong> households interviewed from <strong>the</strong> three districts owned at least
a species of livestock. Amongst all <strong>the</strong> three districts, Rumphi had <strong>the</strong> highest percentage of<br />
people owning livestock (78.6%), while <strong>the</strong> proportion of people owning livestock in Ntchisi<br />
was slightly lower (71.5%) whereas in Mchinji, only 61.3% of respondents reported owning<br />
livestock.<br />
Using criteria such as ownership of assets, qualitative wealth ranking exercises indicated that<br />
about 70% of <strong>the</strong> community inhabitants are considered to be poor, about 20% middle class<br />
and 10% comparatively wealthy.<br />
- Availability of Staple Food<br />
Overall weighted results showed that 44.6% of all households in <strong>the</strong> study that grew some<br />
crops still had some maize in <strong>the</strong>ir storage. More households had maize in <strong>the</strong>ir storage in<br />
Ntchisi (53.1%), than in Rumphi (52.3%) and to a lesser extent, Mchinji (36.6%). About<br />
28.3% of <strong>the</strong> households interviewed at <strong>the</strong> time of <strong>the</strong> survey could not af<strong>for</strong>d to eat what<br />
<strong>the</strong>y normally eat at least once during <strong>the</strong> past 7 days prior to <strong>the</strong> survey. During times when<br />
<strong>the</strong>y did not have <strong>the</strong>ir own-grown staple, 49.4% of households depended on purchases,<br />
28.6% relied on ganyu, while 27.9% received food in kind <strong>for</strong> labour <strong>the</strong>y provided and 10.1%<br />
supplemented with winter cropping as coping mechanisms.<br />
Health, housing and water issues<br />
- Availability of Local Health Services<br />
Health services in <strong>the</strong> three districts are provided by government, <strong>the</strong> Christian Health<br />
Association of <strong>Malawi</strong> (CHAM), <strong>the</strong> private sector, Non Governmental Organisations (NGOs)<br />
such as Banja La Mtsogolo and Population Services International, traditional healers and<br />
birth attendants. The district hospital is <strong>the</strong> main referral health facility at district level.<br />
Findings of <strong>the</strong> baseline study indicate that <strong>the</strong> referral system in all <strong>the</strong> survey districts is<br />
very poor and is constrained by a lack of human, physical and financial resources. The<br />
numbers of medical staff are low and <strong>the</strong>re are not enough ambulances in each of <strong>the</strong> district<br />
hospitals to cater <strong>for</strong> <strong>the</strong> high demand from <strong>the</strong> different health centres in <strong>the</strong> district. It was<br />
reported during <strong>the</strong> interviews that <strong>the</strong>re are normally long queues of patients in different<br />
health centres waiting <strong>for</strong> referrals.<br />
From in<strong>for</strong>mation obtained from key in<strong>for</strong>mants at district level, <strong>the</strong> most common disease<br />
affecting children in Mchinji was malaria accounting <strong>for</strong> about half of all children who fall ill, in<br />
Rumphi (where most common illness was considered pulmonary) more than half of all<br />
children are affected by a chronic cough, while in Ntchisi <strong>the</strong> most common illness is malaria<br />
accounting <strong>for</strong> about two fifths of all <strong>the</strong> children (40%) who fall ill.<br />
Qualitative interviews found that child labourers are normally subjected to health hazards that<br />
could easily make <strong>the</strong>m sick and would require frequent treatment especially from <strong>the</strong> district<br />
hospital. Girls are also vulnerable to falling pregnant and may not be able to access better<br />
delivery services at a referral hospital. In view of this it would be better to train Traditional<br />
Birth Assistants to assist <strong>the</strong> very poor and vulnerable people who face <strong>the</strong> barriers of<br />
considerable distances to reach health centres, including child labourers.<br />
- School Health Check-Ups<br />
The study found that <strong>the</strong> overall weighted percentage of children that received a health<br />
check-up was 50.4% in all surveyed areas in <strong>the</strong> three districts. In Mchinji <strong>the</strong> weighted
percentage was 46.3%, in Rumphi (59.4%) and in Ntchisi (52.7%). In Rumphi 59.4% of boys<br />
and 58.9% of <strong>the</strong> girls reported to have received <strong>the</strong> health school check-up. In Mchinji,<br />
47.1% of <strong>the</strong> boys and 47.0% of <strong>the</strong> girls versus 52.7% of <strong>the</strong> boys and 53.0% of <strong>the</strong> girls in<br />
Ntchisi reported to have received <strong>the</strong> school health check-up.<br />
School health check-ups are important to children as it can lead to early detection of some of<br />
<strong>the</strong> common child diseases. Working children who do not attend school are excluded from<br />
this health service. Children withdrawn from child labour and reintegrated in to school will<br />
benefit from this service - a practice that will mean having healthier children in our society.<br />
Health Hazards Common amongst Children Working in Tobacco Growing<br />
Through a range of discussions and interviews <strong>the</strong> study findings revealed some of <strong>the</strong><br />
health hazards common amongst children working in tobacco growing. These included<br />
exposure to fumes, working with dangerous tools, exposure to insect bites and many o<strong>the</strong>rs.<br />
Overall <strong>the</strong> weighted percentage of those working children that reported being exposed to<br />
dust or fumes in all <strong>the</strong> three districts was 37.0%. In terms of gender, <strong>the</strong> weighted<br />
percentages of those children interviewed who were working and reported that <strong>the</strong>y were<br />
exposed to dust or fumes in Rumphi was 33.8% of boys and 33.8%% of girls, in Mchinji<br />
36.2% were boys and 36.2% were girls while in Ntchisi 40.8% were boys and 40.8% were<br />
girls.<br />
The overall weighted average of those that reported being exposed to extreme cold or heat<br />
in all <strong>the</strong> three districts was 24.7%. In Rumphi district <strong>the</strong> weighted percentages of <strong>the</strong><br />
children interviewed who were working and reported that <strong>the</strong>y were exposed to extreme cold<br />
or heat were 22.5% boys and 22.5% girls, in Mchinji those exposed to extreme cold or heat<br />
comprised 25.1% boys and 25.1% girls while in Ntchisi <strong>the</strong> percentages were 25.6% boys<br />
and 25.5% girls. The overall weighted percentage of <strong>the</strong> children that reported being<br />
exposed to dangerous tools (knives) in all <strong>the</strong> three districts was 19.1%<br />
The most common equipment used was a hoe. This was reported by 81.0% of boys and<br />
66.5% of girls in Rumphi; 84.8% of boys and 75.0% of girls in Mchinji; and 81.0% of boys<br />
and 73.5% of girls in Ntchisi respectively. Using hoes is not only dangerous, but also is<br />
inefficient as one requires a lot of time to till a unit piece of land compared to motorised or oxdrawn<br />
equipment.<br />
- Housing<br />
In terms of ownership of <strong>the</strong> house, which can a proxy <strong>for</strong> whe<strong>the</strong>r a household is mobile or<br />
not and in some cases a proxy <strong>for</strong> levels of poverty, <strong>the</strong> study found 83.7% of <strong>the</strong><br />
respondents in all <strong>the</strong> study areas in <strong>the</strong> three districts reported that <strong>the</strong> house <strong>the</strong>y were<br />
living in was owned by a household member.<br />
In terms of type of construction material, which is a major proxy <strong>for</strong> poverty, <strong>the</strong> study found<br />
that 42.8% of all respondents reported that <strong>the</strong>ir main house wall was made of burnt bricks.<br />
In Rumphi <strong>the</strong> percentage of households that had <strong>the</strong>ir main house wall made of burnt bricks<br />
were higher at 64.5%, followed by Mchinji at 47.0% and 21.3% in Ntchisi. Those who<br />
reported that <strong>the</strong>ir houses were made of un-burnt bricks constituted 21.5% in total and about<br />
42.5% of all main houses were palm/bamboo/grass thatched.<br />
- Sources of Energy
In terms of sources of energy, <strong>the</strong> main source of energy <strong>for</strong> cooking is firewood and is used<br />
by over 95.4% of all <strong>the</strong> households interviewed. Traditionally it is women and girls who<br />
fetch firewood and when <strong>the</strong>re is de<strong>for</strong>esation, women and girl chidren are <strong>for</strong>ced to travel<br />
long distances and carry heavy headloads of firewood, resulting in child labour amongst girls.<br />
Although not much variance, more households used firewood in Ntchisi (97.8%), than in<br />
Mchnji (96.0%) and Rumphi (95.0%).<br />
Electricity connectivity in <strong>Malawi</strong> is very low, with only about 6% of households being<br />
connected to <strong>the</strong> national grid. In rural areas <strong>the</strong> problem is worse. The main source of<br />
energy <strong>for</strong> lighting across <strong>the</strong> study areas in <strong>the</strong> three districts was dry-battery operated<br />
Chinese torches (58.4% of households). Those who used paraffin <strong>for</strong> lighting represented<br />
18.3% of all households included in <strong>the</strong> study, with 21.0% <strong>for</strong> Mchinji, 16.7% <strong>for</strong> Rumphi, and<br />
14.7% <strong>for</strong> Ntchisi<br />
- Water and Sanitation<br />
The baseline study sought to ga<strong>the</strong>r in<strong>for</strong>mation on <strong>the</strong> types of toilets people were using to<br />
get an understanding of <strong>the</strong> sanitation situation in surveyed households. The percentage of<br />
households included in <strong>the</strong> study that had no toilets and were using <strong>the</strong> bush was highest in<br />
Mchinji at 9.8%, followed by Ntchisi at 3.0% and Rumphi at 1.9%. In all <strong>the</strong> three districts<br />
2.9% of all <strong>the</strong> respondents were using flush toilets, with Rumphi registering 9.0%, Mchinji,<br />
2.0% and 1.0% <strong>for</strong> Ntchisi.<br />
In terms of access to portable water, Ntchisi had <strong>the</strong> highest percentage of households using<br />
boreholes at 57.3%, followed by Rumphi and Mchinji at 57.0% and 44.8% respectively.<br />
Overall, 20.1% of all households used unprotected dug wells as a source of drinking water<br />
with <strong>the</strong> highest prevalence in Mchinji at 30.7%, followed by Ntchisi at 11.4% and <strong>the</strong>n<br />
Rumphi at 5.9%.<br />
Mobility and Child Labour<br />
- Country and District of Origin<br />
The study found that 99.7% of those interviewed were of <strong>Malawi</strong>an origin, 0.2% were of<br />
Zambian origin, and 0.1% were of Zimbabwean origin. Within those of <strong>Malawi</strong>an origin, <strong>the</strong><br />
study was interested in establishing <strong>the</strong>ir districts of origin as a proxy <strong>for</strong> internal migration or<br />
movement as <strong>the</strong>se districts may act as supply districts <strong>for</strong> labour migration including child<br />
labour.<br />
In Rumphi, those originally from Mzimba district were 13.4%, followed by those from Chitipa<br />
(4.1%) and Phalombe at (2.7%). Mzimba and Chitipa districts share borders with <strong>the</strong><br />
Rumphi district. In Mchinji, 11.4% of households came from Lilongwe, followed by those<br />
from Mangochi (2.7%) and <strong>the</strong>n Dowa (2.3%). In Ntchisi, 1.6% of households came from<br />
Dowa, 1.1% came from Nkhotakota and 0.7% from Lilongwe. There is less migration into<br />
Ntchisi than into <strong>the</strong> o<strong>the</strong>r two districts as historically Ntchisi had had limited economic<br />
activities, poor accessibility and is labelled as undeveloped.<br />
- Children’s Living Arrangements<br />
The baseline found that <strong>the</strong> majority of children (68.4%) stayed with both <strong>the</strong>ir biological<br />
parents. In Ntchisi, children are more likely to be living with <strong>the</strong>ir parents (71.9%) than in<br />
Mchinji, (68.1%) and Rumphi (64.6%). As explained earlier, Ntchisi is not as accessible as<br />
<strong>the</strong> o<strong>the</strong>r two districts, so <strong>the</strong> likelihood that children can be staying away from parents is<br />
lower. Fa<strong>the</strong>rs alone tend not to live with <strong>the</strong>ir children, even if <strong>the</strong>y have a step-wife. Most
of <strong>the</strong> burden of care is <strong>the</strong>re<strong>for</strong>e with women and <strong>the</strong> elderly. About 2% of children are<br />
staying with non-relatives.<br />
- Freedom of Movement<br />
The baseline study also ga<strong>the</strong>red in<strong>for</strong>mation about whe<strong>the</strong>r children who were not living with<br />
<strong>the</strong>ir parents, were freely able to visit <strong>the</strong>ir parents. The study revealed that most children<br />
(85.7%) in <strong>the</strong> study are able to visit <strong>the</strong>ir parents: about 90.1% reported so in Rumphi,<br />
83.0% in Mchinji, while 88.2% in Ntchisi indicated that <strong>the</strong>y free to visit <strong>the</strong>ir parents. For<br />
those children who reported not being able to visit <strong>the</strong>ir parents, long distances were<br />
reported as <strong>the</strong> main reason why most of <strong>the</strong>m (reported by 50.7%) were not able to visit<br />
<strong>the</strong>ir parents while 19.2% of <strong>the</strong> children were not allowed to go.<br />
- Child’s Last Place of Residence<br />
About 68% of <strong>the</strong> overall children who were not staying with biological parents came from<br />
within <strong>the</strong> region of study and about 9% came from o<strong>the</strong>r districts. In Rumphi, 67.3% of <strong>the</strong><br />
children who were not staying with biological parents came from within <strong>the</strong> Nor<strong>the</strong>rn Region<br />
and 7.7% came from outside <strong>the</strong> Nor<strong>the</strong>rn Region. Some were more transient (14.7%) and<br />
came from within <strong>the</strong> Nor<strong>the</strong>rn Region, while 5.1% were transient and came from o<strong>the</strong>r<br />
regions and ano<strong>the</strong>r 1.3% came from outside <strong>Malawi</strong>.<br />
Policy and Legal Framework<br />
- Policy Framework<br />
The study found that in general <strong>Malawi</strong> has sufficient policies and legal instruments to deal<br />
with child labour. However, implementation of <strong>the</strong>se instruments is a major challenge due to<br />
capacity constraints.<br />
Important instruments frameworks include <strong>the</strong> Millennium Development Goals, <strong>the</strong> <strong>Malawi</strong><br />
Vision 2020, <strong>the</strong> Republican Constitution, <strong>the</strong> <strong>Malawi</strong> Employment Act, Child Care,<br />
Protection and Justice Act, <strong>the</strong> <strong>Malawi</strong> Growth and Development Strategy and <strong>the</strong> National<br />
Plan of Action on Child Labour. There are also many sectoral polcies that support<br />
interventions against child labour.<br />
In addition to policies and legislation, <strong>the</strong>re are many public, private and civil society groups<br />
that are working toge<strong>the</strong>r to fight against child labour. These include most of <strong>the</strong> tobacco<br />
regulators, producers and buyers of tobacco in <strong>the</strong> country.<br />
The lead Ministry is <strong>the</strong> Ministry of Labour which is being supported by many of <strong>the</strong> key<br />
development partners in <strong>the</strong> sector such as <strong>the</strong> International Labour Organisation and<br />
UNICEF. There are also many development partners working in sectors such as health,<br />
agriculture and food security, water and sanitation and education among o<strong>the</strong>rs.<br />
Awareness, Knowledge and Capacity to Address Child Labour<br />
The study noted that knowledge and awareness pertaining to <strong>Malawi</strong> laws and regulations on<br />
child labour are very weak in all three districts, at both district and community levels. Child<br />
Labour Committees at community level are not available, not well-established or nonexistent.<br />
Related committees, such as child protection and community policing are disjointed<br />
and weak due to limited capacity and understanding of <strong>the</strong> concept of child labour. Most of<br />
<strong>the</strong>se committees do not have child labour in <strong>the</strong>ir terms of reference.
It was <strong>the</strong>re<strong>for</strong>e not surprising that many individuals included in <strong>the</strong> focus groups key<br />
in<strong>for</strong>mant interviews have a very narrow understanding of child labour. They tend to know<br />
that it is illegal <strong>for</strong> children to work but are not able to differentiate between child work and<br />
child labour. In many communities, parents and o<strong>the</strong>r adults asked questions such as, “Do<br />
<strong>the</strong>y really have to make <strong>the</strong>se rules so that children do not learn any work. What kind of<br />
future citizens will <strong>the</strong>y be?” or, “What do you mean, we should not train our children?”
Proposed Recommendations<br />
As outlined in <strong>the</strong> terms of reference <strong>the</strong> recommendations should provide guidance to <strong>the</strong><br />
<strong>for</strong>mulation of <strong>the</strong> CLEAR Change programme. The listed recommendations represent<br />
actions that could be included in <strong>the</strong> programme. The recommendations emerge from <strong>the</strong><br />
baseline study findings, from literature and experiences of o<strong>the</strong>r child labour programmes in<br />
<strong>Malawi</strong> and beyond.<br />
Overall Recommendations<br />
Preventive measures such as better access to schooling and o<strong>the</strong>r basic social<br />
services combined with mechanisms to reduce vulnerability to child labour, are<br />
particularly important to prevent children at risk of involvement in child labour through<br />
strong partnership with key stakeholders in <strong>the</strong> industry.<br />
Remedial schooling and o<strong>the</strong>r “second chance” learning opportunities should be<br />
provided to children already harmed by exposure to child labour. Better <strong>for</strong>mal<br />
workplace inspection instruments, toge<strong>the</strong>r with expanded grassroots level<br />
monitoring, are needed to guide “direct action” to remove and rehabilitate children<br />
from unconditional worst <strong>for</strong>ms of child labour. The Ministry responsible <strong>for</strong> labour<br />
inspection will <strong>the</strong>re<strong>for</strong>e need to be on <strong>the</strong> ground and need to be supported to<br />
achieve <strong>the</strong> desired results. Political commitment is needed to ensure that child<br />
labour is mainstreamed into broader development plans and programmes such as <strong>the</strong><br />
District Implementation Plans. The National Steering Committee or National<br />
Programme of Action Task<strong>for</strong>ce should be <strong>for</strong>med to, among o<strong>the</strong>rs, coordinate<br />
implementation of activities aimed at eliminating child labour.<br />
Direct action is needed to ensure <strong>the</strong> removal, recovery and reintegration of working<br />
children whose rights are most compromised, i.e., those facing <strong>the</strong> greatest degree of<br />
hazard and/or exploitation. This refers, first and <strong>for</strong>emost, to children in Worst Forms<br />
of Child Labour such as CSEC and those in hazardous <strong>for</strong>ms of work.<br />
Poverty eradication programmes must be mainstreamed in <strong>the</strong> fight against child<br />
labour. HIV/AIDS and gender mainstreaming including child and human rights<br />
mainstreaming must not only receive attention, but must be funded to sufficient levels<br />
if underlying causes of child labour are to be eliminated.<br />
Specific Recommendations<br />
RECOMMENDED<br />
FOCUS AREA<br />
INTERVENTIONS PER IDENTIFIED<br />
A: Withdraw and Prevention<br />
In liaison with parents, government officials and local leaders,<br />
<strong>the</strong> programme should withdraw children engaged in CSEC<br />
related to tobacco growing, early marriages and cattle herding<br />
and ensure that <strong>the</strong>y are enrolled or re-admitted in schools,<br />
wherever that is possible or engage in vocational training<br />
programmes.<br />
Establish community-based Anti-Child Labour Committees and<br />
link <strong>the</strong>se to Child Protection Workers and Community Policing<br />
Institutions and provide mandate and capacity <strong>for</strong> withdrawing<br />
and handling children in child labour<br />
Develop clear and transparent monitoring systems to track<br />
project children but also to monitor impact on changes in<br />
awareness at a broader community, district and national level.<br />
Ensure that <strong>the</strong> systems allow <strong>for</strong> sharing of in<strong>for</strong>mation<br />
POTENTIAL TARGET<br />
GROUPS<br />
Children already in child<br />
labour, particularly those in<br />
hazardous <strong>for</strong>ms<br />
Community leaders<br />
Children engaged in child<br />
labour
RECOMMENDED INTERVENTIONS PER IDENTIFIED<br />
FOCUS AREA<br />
amongst key stakeholders at community, district and national<br />
level.<br />
Design reintegration methods based on experience in <strong>Malawi</strong><br />
and elsewhere of children withdrawn from trafficking related<br />
child labour, with a primary focus on education <strong>for</strong> school age<br />
groups.<br />
Continue and streng<strong>the</strong>n operation research on issues such as<br />
child labour, cattle herding and children with disabilities, issues<br />
pertaining to patrilineal vs matrilineal systems and how <strong>the</strong>y<br />
influence child labour and effective methods to decrease <strong>the</strong><br />
trafficking of children into child labour in source districts. This<br />
should also include research on tobacco production methods<br />
that decrease dependence on child labour.<br />
Promote <strong>the</strong> establishment of community-based functioning<br />
victim drop-in centres. These should be linked to Victim<br />
Support Units, where <strong>the</strong>y are available.<br />
B: Education Enrolment, Retention and Attainment<br />
Implement child, teacher, community and parent mobilisation<br />
on <strong>the</strong> importance of education <strong>for</strong> both boys and girls. Need<br />
identified to work with parents, teachers and local leaders to<br />
ensure that household responsibilities do not deter children<br />
(particularly girls) from education.<br />
Provide support <strong>for</strong> improving infrastructure in schools<br />
including renovations of schools, adding classrooms, and staff<br />
quarters. However, <strong>the</strong>se should be accompanied by strong<br />
mobilisation of school catchment population to send and retain<br />
children in school (particularly girls).<br />
Establish and support existing ECD Centres and ensure that<br />
<strong>the</strong>y have integrated child labour and growth monitoring<br />
indicators. .<br />
Provide special education support <strong>for</strong> OVC (including learners<br />
with learning difficulties) and assist <strong>the</strong>se learners to access<br />
education bursaries at district level.<br />
Provide functioning and sanitary water and sanitation facilities<br />
in schools to create a conducive learning environment <strong>for</strong><br />
learners with a focus on <strong>the</strong> female learner.<br />
Replicate successful systems from ICLEP project on<br />
pedagogical training <strong>for</strong> teachers, teaching material supplies,<br />
etc.<br />
Implement summer vacation bridging courses <strong>for</strong> children<br />
reintegrating into education.<br />
Provision of school kits (supplies, uni<strong>for</strong>ms, hygiene products)<br />
to children to be withdrawn or prevented from child labour.<br />
Some children who are at less risk may receive a basic kit<br />
while o<strong>the</strong>rs receive a full kit.<br />
Vocational and skills training should focus highly on improving<br />
child-friendly agricultural/horticultural and livestock raising<br />
skills. Skills training <strong>for</strong> which local markets are limited should<br />
be avoided.<br />
POTENTIAL TARGET<br />
GROUPS<br />
Children engaged in child<br />
labour<br />
Children herding cattle,<br />
children with disabilities<br />
etc.<br />
Community leaders<br />
Parents, teachers, children<br />
and local leaders<br />
Parents, teachers and local<br />
leaders<br />
Children below age 6<br />
Secondary school learners<br />
(age14-17)<br />
Girls and boys<br />
Teachers<br />
School going age children<br />
that dropped out of school<br />
School going children,<br />
especially Standard 5 and<br />
above<br />
Children that are not able<br />
to go back to school (age<br />
14-17)<br />
Vocational and skills training courses should include education Children that are not able
RECOMMENDED INTERVENTIONS PER IDENTIFIED<br />
FOCUS AREA<br />
on some basic business management skills such as simple<br />
accounting and marketing.<br />
Develop special vocational training/skills training <strong>for</strong> children<br />
age 12-15.<br />
Integrate vocational skills training <strong>for</strong> older youth and young<br />
community adults in all infrastructure development ef<strong>for</strong>ts<br />
(schools building, boreholes, etc.)<br />
Attach and increase boarding school options <strong>for</strong> victims of child<br />
labour withdrawn and at risk children from poor (source)<br />
districts.<br />
Pair project children with older youth who can mentor <strong>the</strong>m.<br />
Provide <strong>the</strong> mentors with special kits containing materials such<br />
as awareness raising T-shirts and hygiene supplies. Provide<br />
certificates <strong>for</strong> successful mentors.<br />
Provide Role Models <strong>for</strong> both boys and girls. Use FAWEMA<br />
tactics of getting role models at national level to have talks in<br />
communities and schools to motivate children in education.<br />
C: Poverty Reduction, Livelihoods and Food Security Improvement<br />
Mobilise communities to diversify <strong>the</strong>ir income sources so that<br />
<strong>the</strong>y do not just depend only on tobacco and maize <strong>for</strong> <strong>the</strong>ir<br />
livelihoods: i) Promote diversification of crop production and<br />
could include promoting small-scale irrigation, horticultural<br />
gardening and school gardening and growing of drought<br />
resistant crops; ii) Learn from o<strong>the</strong>r projects that have<br />
promoted income generating activities.<br />
Study labour saving methods such as using neem tree<br />
products, notably neem oil, <strong>for</strong> desuckering and introduce in<br />
project areas. Integrate in government, ARET and NASFAM<br />
extension work.<br />
Introduce Village Savings and Loan schemes amongst women.<br />
Rotating self financing loan schemes have proved to be very<br />
effective amongst women.<br />
Advocate <strong>for</strong> improved working conditions and contracting<br />
arrangements <strong>for</strong> tenants. Include issues such as: i) need to<br />
have written contracts; ii) need <strong>for</strong> landlords to provide food<br />
until harvest; iii) need <strong>for</strong> landlords to provide land <strong>for</strong> tenants<br />
to grow <strong>the</strong>ir own food; iv) need <strong>for</strong> tenants to send <strong>the</strong>ir<br />
children to school and not be involved in tobacco growing<br />
work; and v) <strong>the</strong> need <strong>for</strong> regular inspections by Government.<br />
In districts, such as Mchinji where <strong>the</strong>re is a Social Cash<br />
Transfer Programme, establish links between <strong>the</strong> programme<br />
and children engaged in child labour. The project should<br />
facilitate access by children affected by child labour to <strong>the</strong><br />
national or district bursary schemes and o<strong>the</strong>r social support<br />
programmes.<br />
The project should pay special attention to ensure that<br />
woodlots are established in or near to communities.<br />
POTENTIAL TARGET<br />
GROUPS<br />
to go back to school<br />
Children that are not able<br />
to go back to school<br />
Children that are not able<br />
to go back to school<br />
School going children<br />
withdrawn from child labour<br />
Any child between 5 and<br />
17<br />
School going age groups<br />
Households with children in<br />
or at risk of child labour<br />
Households with children in<br />
or at risk of child labour<br />
Women within households<br />
that have children in or at<br />
risk of child labour<br />
Tenants, landlords and <strong>the</strong><br />
Labour Inspectorate<br />
Households with children<br />
involved in child labour
RECOMMENDED<br />
FOCUS AREA<br />
INTERVENTIONS PER IDENTIFIED<br />
D: Awareness Raising and Advocacy<br />
Children’s legal rights to education in <strong>the</strong> context of child<br />
labour should be enhanced.<br />
<strong>ECLT</strong> partners should build <strong>the</strong> capacity of girls to be more<br />
assertive and are able to resist <strong>the</strong> pressures put to <strong>the</strong>m by<br />
<strong>the</strong>ir families to work at <strong>the</strong> cost of <strong>the</strong>ir education.<br />
Implement a multi-track and multi-message mass media<br />
campaign with <strong>the</strong> involvement of civil society, employers and<br />
workers organisations which should include: i) awareness<br />
raising on child labour in tobacco growing; ii) CSEC’ iii) cattle<br />
herding; iv) <strong>the</strong> need <strong>for</strong> education; v) impact of early<br />
marriages; vi) trafficking of children <strong>for</strong> child labour; and vii) <strong>the</strong><br />
popularisation of legislation related to child labour.<br />
Awareness raising in project communities should also include<br />
a component on natural resource management, including<br />
de<strong>for</strong>estation issues.<br />
Use existing and innovative mass media channels, including<br />
radio, television, mobile phones, bill boards, community radios,<br />
church groups, mosques, local traditional functions and o<strong>the</strong>rs<br />
depending on target audiences.<br />
Communication should be delivered in a non-threatening<br />
manner. The physical, emotional, moral, economic and o<strong>the</strong>r<br />
aspects of child labour should be emphasised.<br />
Advocate <strong>for</strong> i) increased funding of labour departments at<br />
district level and ii) <strong>the</strong> finalisation of <strong>the</strong> list of harmful<br />
practices and <strong>the</strong> National Registration System at national<br />
level.<br />
E: Capacity Streng<strong>the</strong>ning and Institution Building<br />
At national level, <strong>the</strong>re is need to streng<strong>the</strong>n <strong>the</strong> capacity of <strong>the</strong><br />
Child Labour Unit of <strong>the</strong> Ministry of Labour and <strong>the</strong> National<br />
Child Labour Network in collaboration with o<strong>the</strong>r partners such<br />
as <strong>the</strong> ILO. This is important to promote ownership and<br />
sustainability of <strong>the</strong> programme.<br />
Provide support on advocacy to ensure <strong>the</strong> <strong>for</strong>mal adoption<br />
and implementation of key policy and legislative frameworks<br />
including <strong>the</strong> National Action Policy and Plan on <strong>the</strong> elimination<br />
of child labour; <strong>the</strong> Tenancy Bill; <strong>the</strong> List of Hazardous Work as<br />
well as <strong>for</strong> Education Re<strong>for</strong>m to include compulsory primary<br />
education.<br />
In collaboration with <strong>the</strong> Ministry of Labour and respective<br />
District Councils, establish and streng<strong>the</strong>n District Child Labour<br />
Committees, particularly n Ntchisi and Mchinji where <strong>the</strong>y have<br />
just been <strong>for</strong>med. Ensure DEC Members are involved.<br />
Establish community based Child Labour Committees and link<br />
<strong>the</strong>m to Village Development Committees and Community<br />
Policing Forums. Provide committees with incentive packages<br />
such as T-shirts, bicycles, calendars (child labour in<strong>for</strong>mation,<br />
education and communication (IEC materials). Develop a<br />
POTENTIAL TARGET<br />
GROUPS<br />
Children and <strong>the</strong>ir<br />
households, communities<br />
Girl child<br />
Whole community , civil<br />
society, employers and<br />
workers organisations<br />
Communities and related<br />
government ministries<br />
Communities, policy<br />
makers, children, teachers,<br />
and many more depending<br />
on <strong>the</strong> type of message<br />
Ministry of Labour, Child<br />
Labour Unit<br />
Ministry of Labour and <strong>the</strong><br />
Child Labour Unit<br />
DEC Members<br />
Child Labour Committees,<br />
Child Protection Workers,<br />
Child Protection<br />
Committees
RECOMMENDED INTERVENTIONS PER IDENTIFIED<br />
FOCUS AREA<br />
per<strong>for</strong>mance-based system and award good per<strong>for</strong>mance<br />
(such as committee that withdraws more children or prevents<br />
child labour gets a bigger incentive). Include training <strong>for</strong> village<br />
heads and community child labour committees on child labour<br />
issues.<br />
When Local Government Elections are held and Councillors<br />
are in place, design a training programme on child labour and<br />
assign specific roles <strong>for</strong> <strong>the</strong>m. This will contribute significantly<br />
to sustainability. When councillors are in place, <strong>the</strong><br />
programme should facilitate <strong>for</strong>mulation of local by-laws that<br />
should prohibit child labour.<br />
Provide training <strong>for</strong> Industrial Relations Court officials,<br />
magistrates, prosecutors, labour offices and lawyers on legal<br />
child labour issues. Include review of legal framework and<br />
application of laws. Training of magistrates in project districts.<br />
Training of customary justice system suppliers on child labour<br />
issues.<br />
Create a mass of capacity by streng<strong>the</strong>ning <strong>the</strong> capacity of<br />
agricultural extension workers of government, ARET, NASFAM<br />
and o<strong>the</strong>r agencies with extension workers on child labour<br />
issues.<br />
Ensure that advocacy and awareness raising and capacity<br />
building includes attention to child labour in <strong>the</strong> overall<br />
development context as a distinct issue but still linked to o<strong>the</strong>r<br />
types of development ef<strong>for</strong>ts.<br />
F: Health, Water and Sanitation<br />
Implement household and school-based water and sanitation<br />
programme, which includes i) provision of safe water in<br />
schools, hygiene; and ii) sanitation awareness in <strong>the</strong><br />
communities. This should also include school health check-<br />
ups.<br />
Implementation educational and awareness activities on<br />
health, nutritional and dietary diversification <strong>for</strong> <strong>the</strong><br />
communities.<br />
Provide assistance to link of community water and sanitation<br />
committees to agencies that can provide effective training on<br />
roles and responsibilities.<br />
In collaboration with Ministry of Health and <strong>the</strong> Ministry of<br />
Gender, Children and Community Development, promote and<br />
implement growth monitoring through ECD centres. Train<br />
health extension staff on child labour and <strong>the</strong> impacts it has on<br />
child health and growth.<br />
Establish referral systems between primary health and<br />
secondary health services <strong>for</strong> children involved in child labour,<br />
including those in CSEC.<br />
Advocate <strong>for</strong> healthy and safe conditions within <strong>the</strong> workplaces<br />
of children 14 and 17 years of age who are not able to return to<br />
school.<br />
POTENTIAL TARGET<br />
GROUPS<br />
Local Councils<br />
Court officials, magistrates,<br />
prosecutors, labour offices<br />
and lawyers<br />
Extension workers<br />
Schools, children in school<br />
and communities<br />
Schools<br />
Community Water<br />
Committees<br />
Child Labour, ECD<br />
Committees and Health<br />
Extension Workers<br />
Child Labour Committees<br />
Employers and employees