| |
June 2008 - Volume 2, Issue
3
Literacy among
the female workers in industries of Rajshahi in Bangladesh
 |
Dr. Md. Aminul Hoque
Associate Professor
Department of Statistics
University of Rajshahi
Rajshahi-6205
Bangladesh
Fax: +88-721-750064
Mobile: +88-01914254017
E-mail: mdaminulh@gmail.com
|
 |
| ABSTRACT
One of the important aspects
of human development is education both at the individual
and the collective levels. Higher level of education
means higher jobs implying higher standard of living.
In this paper attempts are made to analyze the educational
characteristics of the female workers who work in different
types of industries at and around Rajshahi city corporation
area in Bangladesh. In all 891 workers are interviewed
and the majority of them (20.20%) are found to work
in sericulture industries followed by cottage industries
(18.2%). Of the 891 women 52.1% are literate. Of the
literate females 51.5% have primary level of education
42.7% secondary level and only 5.8% above secondary
level. Maximum numbers of literate females are found
to work in sericulture industries (32.3%) followed by
textile industries (19.6%). We find strong external
effects of education on individual earnings.
Key Words: Human Development,
Female workers, Industry, Level of Education, High Job.
|
 |
INTRODUCTION
Life of women in Bangladesh is plagued
with poverty, illiteracy, malnutrition and socio-economic
backwardness. In addition to these, the prevailing traditions
and cultural taboos greatly restrict a woman's activities
in society. Being connected with other parts of the world
through the movement of capital, goods and people is nothing
new for Bangladesh. In the pre-colonial period, Bengal, the
eastern half of which constitutes the present Bangladesh,
was once a centre of cotton textile and silk manufacturing
(Gardner 1995). And women were by no means excluded from the
influence of the globalisation of that period. While women's
labour, in high demand for production of home spun yarn during
the eighteenth century, lost its value when textiles made
in British factories began to flood the Bangladeshi market,
the rise of the export-oriented readymade garment industry
has given Bangladesh women a predominant position in the economic
and social space opened up by globalization (Hossain, Jahan
and Sobhan 1990).
Bangladesh is one of the developing
countries of the world. After 36 years of our country's independence
we are still poor and underdeveloped due to the major causes
of low literacy rate and less industrialization. Gender disparity
is a reflection of complex social, cultural, and economic
issues. While some improvement in gender equality has been
achieved in sectors such as education, health and family welfare,
labour and employment, and democratic participation, in Bangladesh
true empowerment is still a distant goal. Women can do a miracle
for themselves and the country if they get opportunities to
live according to their own choice. There was a time not far
back when a woman's life in our country was peaceful and she
used to be treated as an asset in her husband's household.
Besides her reproductive role, she used to put in a lot of
domestic and agricultural labour for the family in the whole
course of her life.
The female population is about half
of our total population, but women's activities are very low,
tin the effort to build up our nation and financial prosperity.
Imam (1989) said that no development efforts could be successful
without the participation of fifty percent of the labour force
of a particular country. According to Buvinic (1993), poverty
oriented research utilizes certain techniques to avoid the
tendency to undervalue women's work. There are few industries
in our country in which a number of females work, except garment
sectors. The past two decades have witnessed a rapid growth
of the female labour force in Bangladesh. Women's participation
in certain types of non-traditional jobs has increased significantly
in the recent past. A growing number of females are now joining
the labour force in both agriculture and non agriculture activities
such as earth cutting, brick breaking, road maintenance and
other construction works as well as in sewing, embroidery,
basket making and other handicraft. Frepd (1986) found the
employment rate of women in the NGO's to be 48% in 1986, but
it is still so small in comparison to the population or to
the male workers. FAO (1974) found in Asia 40 percent of the
agriculture labour force is female who do much of the work
involved in producing and processing rice. But such figures
are now so small in the industries sector. Several lots of
research have been done (Ahasan et al., 2002a, 2002b; Behrens
and Brackhil, 1993; Bangladesh Bank, 1998; Irene Tinker, 1992;
Abdullah, 1998; Basu et al., 2001; Kabir, 1993; Mannan, 1989;
Islam, 1989; UNDP, 1994; Banu, 1988; World Bank, 1990, 1996;
BGMEA, 2001; BSCIC, 1998; ADB, 2001; Brayfied and Rothe, 1951;
and FAO, 1974) on female workers, their life and education
levels as a whole, in Bangladesh.
Unfortunately there is no nationwide
data on literacy level and socio-economic status of the female
workers who work in different types of industries of Bangladesh.
There are a few industries in Rajshahi, a relatively less
developed area in respect of industry, and a very few number
of women work in these industries. Wazifa (1989) has done
some works on silk as an industry which has had a tremendous
effect on the economy of the district. In this paper we have
tried to highlight their educational level related to their
age, the type of appointment and type of industries and residence.
The main objectives of the study
are:
- To look at the relationship between
level of education and female's age
- To examine the association between
the type of appointment and level of education
- And to test the independence
of level of education and type of industries.
DATA AND METHODOLOGY
The present study has utilized the
data collected in a survey of a few industries in and around
Rajshahi city area of Bangladesh. In the study by female workers
we mean those women who have been working in different types
of industries in the study area.
We have found 34 industries categories
such as: jute mill (1), sugar mills (1), sericulture (all
types) (8), textile mills (3), rice mills (7), biscuits factory
(2), press (1), printing (2), all types of cottage industries
(4), weaving (1), fabrics (4) etc . In all 891 female workers
were interviewed from their respective industries. For the
sake of our study all of the 34 industries are categorized
as follows:
(i) Sericulture : Rajshahi Sericulture
factory.
(ii) Textile mill: Rajshahi Textile Mill limited.
(iii) Jute mill : Rajshahi Jute Mill.
(iv) Sugar mill: Rajshahi Sugar Mill.
(v) Rice mill: Sahi Rice mill, Noor Habib Rice mill, Goribeneouz
Rice mill, Haque Rice mill, Serajul Rice mill, Sekandar Rice
mill, and Keramat Rice mill.
(vi) Small and Cottage industries : Sopura silk mills limited
, Alamgir fabrics, North Bengal silk printings factory, Mahila
shilpa sangstha, Surovi textile, S.M silk industry limited,
Munnu weaving factory, Silko textile , Mahila shilpa pratisthan,
Suman fabrics, Uttara silk printings factory, padma silk factory,
Meraj Fabrics etc.
(vii) Miscellaneous: Palash metal industries limited, Rijent
Aluminium factory, Sonali printings, Grenary bekar, Sumi Homio
Hall, Natural Drugs, Bismillah Printings factory, Amzad Jarda
factory, Aroma Foods etc.
For our purpose we have considered
the female workers as regular and irregular workers. Regular
means the females have a permanent job and irregular means
a temporary job (e.g. daily workers, contract workers, part
time workers or seasonal workers etc.).
Some of the female workers are literate and some are illiterate.
Literate female workers are classified on the basis of their
educational level as follows:
(i) Primary level of education
(ii) Secondary level of education
(iii) Higher Secondary level and
(iv) Graduate and above.
On the basis of the above mentioned
classifications some cross tables are constructed to obtain
the percent distribution and relationship between these classifications.
RESULTS AND DISCUSSIONS
The percent distribution of the female
workers is presented in Table 1. It has been found from this
Table that 20.2% of the total female workers are working in
sericulture factories and about 16% in textile mills. Only
2.25% and 3.59% are working in jute and sugar mills respectively,
whereas about 17% are working in rice mills and 18.2% are
in cottage industries. We have the same trend of female workers
from Figure 1. Thus we have seen that considerable numbers
of female workers are working in sericulture factories and
textile mills, both these industries are relatively big ones.
| Table
1. Percent distribution of the female workers by
type of industries. |
| Industries |
Percentage of female workers |
| Sericulture |
20.20% (180) |
| Textile |
15.82% (141) |
| Jute |
2.25% (20) |
| Sugar |
3.59% (32) |
| Rice mill |
16.50% (147) |
| Small
& Cottage industries |
18.20% (163) |
| Miscellaneous |
23.34% (208) |
| Total(N) |
100% (891) |
Figure 1. Bar Diagram
of Female Workers Working in Different Industries
Table 2 presents the distribution
of the female workers by age and type of industries. From
this table we have found that 20.7% of the total female workers,
which is the highest, belong to the age group 25-29 followed
by 19.1% in 30-34 and 15.8% in 20-24 .But in the sericulture
factory 30.6% are in the highest age group 35-39 followed
by 25.5% in 30-34 and 17.2% in the age group 40-44 respectively.
| Table
2. Distribution of the female workers by age and
level of education. |
| Age |
Textile |
Jute
mill |
Sugar
mill |
Rice
mill |
Small
& Cottage industries |
Miscellaneous |
Total |
| <15 |
|
|
|
3.4%(5) |
|
2.4%(10) |
1.1%(10) |
| 15-19 |
|
|
|
8.7%(13) |
11.7%(19) |
14.4%(62) |
7.0%(62) |
| 20-24 |
1.4%(2) |
5%(1) |
|
22.5%(33) |
24.5%(40) |
29.8%(141) |
15.8%(141) |
| 25-29 |
13.9%(19) |
5%(1) |
18.8%(6) |
34.0%(50) |
29.5%(48) |
20.7%(184) |
20.7%(184) |
| 30-34 |
25.5%(36) |
15%(3) |
25%(8) |
13.6%(20) |
20.3%(33) |
11.5%(170) |
19.1%(170) |
| 35-39 |
30.5%(43) |
45%(9) |
18.8%(6) |
10.9%(16) |
8.6%(14) |
11.5%(167) |
18.7%(167) |
| 40-44 |
21.3%(30) |
15%(3) |
12.5%(4) |
4.1%(2) |
3.7%(6) |
3.4%(87) |
9.8%(87) |
| 45-49 |
6.4%(9) |
5%(1) |
3.1%(1) |
1.4%(2) |
0.6%(1) |
2.4%(34) |
3.8%(34) |
| 50-54 |
0.7%(1) |
10%(2) |
9.7%(3) |
0.7%(1) |
1.2%(2) |
3.4%(26) |
2.9%(26) |
| 55-59 |
0.7%(1) |
|
12.5%(4) |
|
|
0.5%(8) |
0.9%(8) |
| 60+ |
|
|
|
0.7%(1) |
|
.2%(2) |
0.2%(2) |
| Total |
100%(141) |
100%(20) |
100%(32) |
100%(147) |
100%(163) |
100%(891) |
100%(891) |
In textile industries, we have
found the same results as sericulture industries as well as
jute and sugar industries .But in the rice mill and small
andd cottage industries we have found different results from
the previous ones. Among these type (Rice mill and cottage
industries) of industries the highest female workers are found
in the age group 25-29.
From Table 3 the highest percentage
(24.4%)of the illiterate female workers are found in the age
group 25-29, followed by workers in the age groups 20-24 and
30-34 respectively.
| Table
3. Logistic Regression of Current Use of Contraception
among Ever-Married Women. |
| Age |
Literate |
Illiterate |
Total |
|
|
Primary |
Secondary |
Higher
Secondary |
Graduate |
|
| |
| <15 |
1.3%(3) |
|
|
|
(1.7%(7) |
1.1%(10) |
| 15-19 |
5.0%(12) |
7.6%(15) |
10.5%(2) |
|
7.7%(33) |
7.0%(62) |
| 20-24 |
19.7(47) |
9.6%(19) |
10.5%(2) |
|
17.1%(73) |
15.8%(141) |
| 25-29 |
17.6(42) |
16.7%(33) |
21.0% (4) |
12.5%(1) |
24.4%(104) |
20.7%(184) |
| 30-34 |
15.1%(36) |
29.3%(58) |
21.0%(4) |
25%(2)> |
16.4%(70) |
19.1%(170) |
| 35-39 |
24.7%(59) |
19.7% (39) |
21.0%(4) |
50%(4) |
14.3%(61) |
18.7%(167) |
| 40-44 |
11.7%(28) |
10.6%(21) |
15.8%(3) |
12.5%(1) |
8.0%(34) |
9.8%(87) |
| 45-49 |
2.5%(6) |
4.0%(8) |
|
|
4.7%(20) |
3.8%(34) |
| 50-54 |
1.7%(4) |
2.0%(4) |
|
|
4.2%(18) |
2.9%(26) |
| 55-59 |
0.8%(2) |
0.5%(1) |
|
|
1.2%(5) |
0.9%(8) |
| 60+ |
|
|
|
|
0.5%(2) |
0.2%(2) |
| Total |
100%(239) |
100%(198)> |
100%(19) |
100%(8) |
100%(427) |
100%(891) |
Note: (r) represent reference
category;
: *** for P<0.01, ** for P<0.05, and * for P<0.1
We have also found from Table 3 that
the literate female workers who are educated to primary level
the highest percentage (24.7%) are in the age group 35-39,
secondary level the highest percentage (29.3%) being in the
age group 30-34 followed by 19.7% in 35-39. We observed from
this Table that the female workers of the middle age groups
have possessed relatively higher education than the other
workers.
Distribution of the female workers
by the type of appointment and level of education are presented
in Table 4.1 and 4.2. It has been found from Table 4.1 that
just half of the total female workers are permanent (50.7%)
and another half are temporary (49.3%). We have also found
that 52.1% are literate and 47.9% are illiterate.
| Table
4.1 Distribution of the female workers by the type
of appointment and level of Literacy. |
| Literacy |
Permanent |
Temporary |
Total |
| Literate
|
67.5% (305) |
36.2% (159) |
52.1% (464) |
| Illiterate
|
32.5% (147) |
63.8% (280) |
47.9% (427) |
| Total
|
100% (452) |
100% (439) |
100% (891) |
= 87.2 and (1,.05) =3.84
It has been found from this
Table that out of the permanent female workers 67.5% are illiterate
and 32.5% are illiterate and out of the temporary workers
36.2% are literate, which is a smaller group than illiterate
workers (63.8%).There is clear evidence that the type of appointment
is highly associated with the literacy of female workers and
such a relationship is statistically significant.
Table
4.2 Distribution of the female workers by the type
of appointment and level of education
Type of appointment. |
| Level
of education |
Permanent |
Temporary |
Total |
| Primary
|
46.2% (141) |
61.1% (98) |
51.5% (239) |
| Secondary |
45.6% (139) |
37.1% (39) |
42.7% (198) |
| Higher
Secondary |
5.6% (17) |
1.3% (2) |
4.1% (19) |
| Graduate
and above |
2.6% (8) |
|
1.7% (8) |
| Total
|
100% (305) |
100% (159) |
100% (464) |
=15.49 and (2,.05)=5.99
From Table 4.2 we have found that
out of the permanent literate female worker 46.2% are of primary
level, which is the highest, followed by 45.6% of secondary
level, 5.6% of higher level and only 2.6% are graduate and
above. Out of literate temporary female workers, 61.1% are
of primary level which is the highest, 37.1% are of the secondary
level, only 1.3% higher secondary level and none is of graduate
level or above. However the type of appointment and the level
of education of the workers appear to be statistically significant.
From Table 5.1 and 5.2 we have found
that the distribution of the female workers by type of industry
and level of education. Out of the literate female workers
32.3% are found in sericulture factories followed by textile
mills 19.6%, small and cottage industries 23.0% and textile
industries 11.7%. Our statistical evidence is that literacy
of female workers is highly influenced for getting jobs in
various types of industries.
| Table
5.1 Distribution of the female workers by type of
industries and literacy. |
| Type
of industries |
Literate |
Illiterate |
Total |
| Sericulture |
32.3% (150) |
7.0% (30) |
100% (180) |
| Textile |
19.6% (91) |
11.7% (50) |
100% (141) |
| Jute mill |
2.4% (11) |
2.1% (9) |
100 (20) |
| Sugar
mill |
3.9% (18) |
4.7% (98) |
100% (32) |
| Rice mill |
1.3% (6) |
33.0% (141) |
100% (147) |
| Small
& Cottage industries |
14.0% (65) |
23.0% (98) |
100% (163) |
| Miscellaneous |
26.5% (123) |
19.9% (85) |
100% (208) |
| Total |
100% (464) |
100% (427) |
100% (891) |
=241.91 and (6,.05) =12.56
From Table 5.2 we found that among
the literate females 51.5% are of primary level, 42.7% secondary
level, 4.1% are of higher secondary and only 1.7% is of graduate
levels. Again from these tables literate female workers who
work in textile mills, 53.8% are of primary level, 38.5% are
secondary level and only 5.5% have higher secondary level.
From this table we also found that the literate female workers
who were engaged in the jute mill 27.3% are of primary level,
9.1% are of secondary level and 45.5% are of higher secondary
level.
| Table
5.2 Distribution of the female workers by type of
industries and level of education |
|
Types of industries |
Literate |
Total |
|
Primary |
Secondary |
H.Secondary |
Graduate & above |
| Sericulture |
44.67%(67) |
54.0%(81) |
.67%(1) |
.67%(1) |
100%(150) |
| Textile |
53.8%(49) |
38.5%(35) |
5.5%(5) |
2.2%(2) |
100%(91) |
| Jute mill |
27.3%(3) |
9.1%(1) |
45.5%(5) |
18.2% (2) |
100%(11) |
| Sugar mill |
5.6%(1) |
44.4%(8) |
33.3%(6) |
16.7%(3) |
100%(18) |
| Rice mill |
4.1% (6) |
|
|
|
100%(6) |
| Small & Cottage industries |
61.5%(40) |
35.5%(25) |
|
|
100%(65) |
| Miscellaneous |
59.3%(73) |
39.1%(48) |
1.6%(2) |
|
100%(123) |
| Total |
51.5%(239) |
42.7%(198) |
4.1%(41) |
1.7%(8) |
100%(464) |
=164.63 and (16,.05)=26.30
Moreover we found from this table
that the literate female workers who work in sericulture industries
44.67% are of primary level, 54.0% are of secondary and each
of 0.67% are both of higher secondary and graduate levels.
As our calculated value of c2 (164.63) is much greater than
that of tabulated value of c2 at 5% level of significance
which implies we should not ignore the relationship between
type of industries with the level of education.
| Table
6.1 Number of Employees in Manufacturing Industry |
| Sex |
1990-91 |
1995-1996 |
| Both Sex |
1,156,204 |
1,631,993 |
| Male |
979,328 |
1,154,062 |
| Female |
176,876 |
477,931 |
| Total |
2,312,408 |
3,263,986 |
Source: Bangladesh Data Sheet 1999
Number of employees in different
manufacturing industries are presented in Table 6.1 for the
year 1990-91 and 1995-96. I found from this table that number
of employees increased from 1990-91 to 1995-96 but the number
of female workers are still much lower than male workers.
| Table
6.2 Nationwide Adult Literacy Rate (Age 15+) in 1998 |
| Sex |
National |
Rural |
Urban |
| Both Sex |
51.3 |
46.4 |
64.1 |
| Male |
59.4 |
57.3 |
77.1 |
| Female |
42.5 |
37.8 |
59.7 |
Source: Bangladesh Data Sheet 1999
Figure 2: Male-female
literacy rate over age 15 in 1998

Source: Bangladesh Data Sheet 1999
We have also found the literacy situation
(Table 6.2 and Figure 2) of Bangladesh that the female literacy
is far behind the male both in rural and urban areas. Some
nationwide demographic and educational characteristics are
presented in Table 6.3. From this table we have found that
expectation of life at birth for both male and females are
not remarkably different. Even the infant mortality rate per
thousand for female infants (90) is a little higher than the
male infant (86) but the
| Table
6.3 Nationwide Adult Literacy Rate (Age 15+) in 1998 |
| |
Female |
Male |
|
Expectation of Life at Birth (1992)
|
55.9 |
56.8 |
|
Infant Mortality Rate (1992)
|
86.0 |
90.0 |
|
Adult Literacy Rate (%1991)
|
18.6 |
44.3 |
|
Enrolment Ratio (% 1991)
|
Female |
Male |
|
Primary
|
61.4 |
77.7 |
|
Secondary
|
15.0 |
32.0 |
|
Post Secondary
|
12.2 |
22.3 |
Source: Bangladesh Data Sheet 1999
adult literacy rate for females is
significantly lower than that of male literacy rate. We have
also found discrepancy of school enrolment between male and
females in all the level of educations. It means that education
level of Bangladeshi females is comparatively lower than male
which reflects the literacy situation of female workers in
industries.
CONCLUSION
In Bangladesh, Rajshahi is one of
the under-developed and less industrialized areas of the country.
There are a limited number of industries in and around Rajshahi
city. The female workers who work in industries of Rajshahi
are mostly less educated. Only 3.03% of female workers are
above higher secondary level. Most of the literate female
workers have a permanent job in their industries and their
livelihood is perhaps better than the others. The study bears
out the evidence of universal phenomenon that better education
means better jobs which means better standards of living.
The females who work in various industries of Rajshahi and
among those, they who are better educated are engaged in some
big industries like Silk and Jute industries where the jobs
are more or less secured.
REFERENCES
- Abdullah, T : Women in Co-operatives
in Bangladesh, BRDB, 1998.
- Ahasan MR, Laukkala H and Sadeque
S (2002a). Psychosocial and socio-economical aspects of
female garments workers in Bangladesh. Work Study, 51(7)
(in press).
- Ahasan MR, Khaleque A & Mohiuddin
G (2002b). Psychosocial and family aspects of shift work-a
case study. Work Study 51 (3): 116-120.
- Asian Development Bank (2001).
Country Briefing Paper: Women in Bangladesh, ADB.
- Bangladesh University Press (1990).
A study on female garment workers in Bangladesh. Bangladesh
Unnayan Parishad (in Bengali), Dhaka, Bangladesh.
- Bangladesh Bank (1998). Yearly
Report of the Bangladesh Bank, Government of Bangladesh,
Dhaka.
- Banu, Nilufar (1988). Some Socio-economic
Problems of the Educated Working Women of Dhaka City, Dhaka:
Bureau of Economic Research, University of Dhaka.
- Behrens VJ & Brackhil, RM
(1993). Worker awareness of exposure: industries and occupations
with low awareness. American Journal of Industrial Medicine
23 (5): 695-701.
- BGMEA (2001). Quota monitoring
profile http://www.bgmea.com/quota.htm of Bangladesh garments
manufacturing and exporting association (BGMEA), Dhaka,
Bangladesh.
- BSCIC (1998). Annual Report of
Bangladesh Small and Cottage Industries Corporation, Dhaka.
- Brayfield AH & Rothe HF (1951).
An index of job satisfaction. Journal of Applied Psychology,
35: 307-311.
- Buvinic Mayra (1993). Women's
Issues in Third World Poverty: A Policy Analysis. The John
Hopkins University Press, Baltimore.
- FAO (1974). World Food Day. Feature,
Rome, October 16.
- Gardner, Katy (1995). Global Migrants,
Local Lives: Travel and Transformation in Rural Bangladesh,
Oxford: Clarendon Press.
- Hossain, Hameeda, Roushan Jahan
and Salma Sobhan (1990). No Better Option? Industrial Women
Workers in Bangladesh. Dhaka: University Press.
- Irene Tinker (1992). New Technology
for Food Related Activities: An Equity Strategy in Dauber
and Cain, Ibid.
- Islam, M.R. : The States of Female
Employment in Bangladesh, World Bank Draft Report, Dhaka
1989.
- Imam M. Hasan (1989). Women, Development
and Values, Some Reflections on Policy Implication "The
Journal of the Institute of Bangladesh Studies. Vol. XII.
- Kaushik Basu, Ambar Narayan and
Martin Ravallion, (2001). Is literacy shared within households?
Theory and evidence for Bangladesh. Labour Economics. Vol
8, No.6.
- Kabir, Mabud F (1993). Young Women
in Bangladesh and their Life Choices, 1993.
- Mannan M A (1989). Status of Women
in Bangladsh : Equality of Rights Theory and Practice.
- Statistical Pocket Book (1998).
Statistical Pocket Book of Bangladesh. Government of Bangladesh.
- UNDP (1994). Human Development
Report.
- World Bank (1990). Bangladesh
Strategy Paper on Women in Development, February, 1990.
- World Bank (1996). World Development
Report.
|
 |