| |
March 2009 - Volume 3, Issue
2
Fertility Decline
- the Role of Non-Government Organizations (NGOs) in Bangladesh:
A Micro Data Analysis
 |
Dr. Md. Abdul Goni,
Associate Professor
|
 |
Department
of Population Science and HRD
University of Rajshahi, Rajshahi-6205, Bangladesh
Email: magoni_popsrubd@yahoo.com
|
 |
| ABSTRACT
Bangladesh is one of the most
populated countries of the world. In the last two decades
despite pervasive poverty and under-development Bangladesh
has achieved considerable fertility decline. Unfortunately,
recent statistics suggest that despite continued increase
in contraceptive use and the functioning of NGO activities
the fertility decline has stalled. Thus Bangladesh becomes
an interesting case study for exploring the question,
of what factors are necessary to bring about further
fertility decline. In this paper an attempt will be
made to highlight women's status, socio-economic and
demographic factors, which are affecting the decline
in fertility. It is found that the desire for an additional
child is lower among working women who have better access
to mass media regularly and are involved in NGO activities.
In order to achieve further decline in fertility, therefore,
the policy makers should emphasize those policies that
actively enhance women's status through education, more
access to mass media as well as getting them involved
in the workforce in the country and need to encourage
other NGOs to include family planning and education
programs like BRAC and Grameen Bank.
Key Words: Fertility,
NGOs, Women's Status, Micro-Data, Logistic Regression
and Bangladesh.
|
 |
INTRODUCTION
Women's status and their role in
decision-making in reproduction have an important bearing
on the success of family planning and the long-term reduction
in fertility of a country. In a society in which women are
mainly concerned with domestic affairs and raising children,
fertility would be higher. The United Nations International
Conference on Population and Development in Cairo, 1994, and
the Fourth World Conference on Women in Beijing, 1995, outlined
factors considered critical to "the empowerment of women".
At these meetings, 179 countries agreed on a 20 year plan
to stabilize the world's population, premised on the notions
that population, development and the environment are integrally
linked and the empowerment of women is required to make this
vision a reality. Empowerment of women was defined- to include
providing women with access to employment, education and reproductive
health care, free from discrimination, coercion and violence.
These same factors are also linked with fertility decline,
a global phenomenon that causes growing concern for governments
planning for future workforce and social security needs. The
1994 International Conference on Population and Development
in Cairo have stressed the integration of population policies
with development policy.
Bangladesh is a nation with an estimated
population of 130 million (BBS-2001). Except some Island States,
Bangladesh has the highest population density in the World;
resource scarcity and subsistence-level economic conditions
characterize the Bangladesh economy (Khuda, 1991). Per capita
income is as low as US$ 444 and more than one-third of the
population lives below the absolute poverty line (UNDP, 2003).
In Asia, Bangladesh is one of the few countries where women's
life expectancy remains lower than that of men. This is due
in part to multiple high-risk pregnancies. The status of women
appears to have changed somewhat over the past few decades,
largely to their disadvantage. The shift is evidenced, for
example, by a major trend away from bride wealth toward dowry
and a general reduction of women's control over property transferred
with them at marriage. The status of women, contemporarily
at least, appears to be very low: women are powerless and
depend upon men.
However, the past three decades saw
a substantial decline in total fertility rate, for example,
from 6.3 in 1975 to 3.3 in 2000 despite pervasive poverty
and under-development, although recent statistics suggest
that despite a continued increase in contraceptive use and
NGO activities the fertility decline in Bangladesh has stalled.
It is interesting to note that the
period saw various types of NGOs working in the country for
the development of our society, particularly in villages where
more than 80% of women live. Besides Micro credit (MC) activities
most of the NGOs are working to improve health and education
and trying to develop a new lifestyle among the Grameen (village)
Society. The availability of various income-generating organizations
such as Bangladesh Rural Development Board (BRDB), Bangladesh
Rural Advancement Committee (BRAC), Grameen Bank and Mothers'
club/Mothers' association may well have influenced women's
reproductive behavior and consequently influenced fertility.
Some NGOs have collaborated with the government to immunize
children and pregnant women. Under the essential health care
program, the NGO workers provide services to pregnant women
for improving their health and nutritional status. The reproductive
health needs of the community in general, with particular
focus on NGOs members, are addressed through education on
family life and awareness of some killer diseases and contraceptive
methods. Under the BRAC's health, Nutrition and Population
Programme, trained health workers and volunteers work to raise
awareness among the rural poor about health issues that directly
impact their lives and families. The NGO sector is the second
largest source of contraceptive supplies for family planning
users in the country (BDHS 2000).
In this paper, I would like to show
by making use of micro data how different dimensions of women's
status are related to different socio-economic and demographic
factors. One factor that I will give particular emphasis in
this paper is NGOs, which are believed to have positive interactions
with some of the aspects of women's status. The structure
of the paper is as follows. In section 2, I first discuss
women's status, fertility, their employment and education
situations, and possible relationships between female employment,
fertility and related variables from a demographic point of
view. Statistical methods will be applied to a Bangladesh
Demographic and Health Survey sample (Section 3), whose results
are presented in Section 4. Section 5 discusses regional variation,
while concluding remarks and policy implications are set out
in Section 6.
ON THE STATUS OF WOMEN
Literally "status" means
a position in relation to others. Women's status is relative.
A measure of women's status may implicity compare the relative
position of women to men or women to other women. The status
of women in a society is deeply rooted in culture, religious
beliefs, traditions and economic environments. Traditionally,
while women perform the major roles of reproduction, the household
and so on, in recent times, many new roles have been added.
The term status of women then would denote not only a conjunction
of the rights and duties but also the degree of her subordination
in the home, education, economic status, role in decision
making in family affairs, and her self-perceived status in
the home and in the community. According to the United Nations
(UN), the status of women in society can be determined by
her composite status which can be ascertained by the extent
of control that she has over her own life derived from access
to knowledge, economic resources and the degree of autonomy
enjoyed in the process of decision making and choice at crucial
points in her life cycle.
In recent years, despite increasing
attention to the concept of women's status, the meaning of
this concept has remained unclear. Among the terms used in
the social demographic literature are not only "status
of women"(e.g., Dixon, 1978), but also "women's
autonomy" (Dyson and Moor, 1983). To measure women's
status/autonomy more directly, the BDHS (2000) survey asked
about women's roles in household decision making and their
freedom of movement. Such information provides insight into
women's control over their environment and their attitudes
towards gender roles, both of which are relevant to understanding
women's demographic and health behavior. Education, exposure
to media, employment status and control over earnings are
some of the means by which women gain status/autonomy, important
aspects of their empowerment.
In the present study, I introduce
the unconventional new variables NGOs (such as Bangladesh
Rural Advancement Committee (BRAC), Grameen Bank, Bangladesh
Rural Development Board (BRDB), Mother's club, etc.) involvement
which can increase women's status. In addition included the
variables related to women's status which are: residence,
employment, education, religion and freedom of access to mass
media etc. After independence in 1971, the BRAC was established
and is the biggest NGO in terms of development and micro-credit
activities. BRAC's other development activities include free
informal education (set up 1985, about 49,000 schools in 2004,
accounting for 11% of the total primary school in Bangladesh)
and health and medical facilities for low-income people in
rural areas. Among the employees of BRAC, 61% are women and
working with the twin objectives of poverty alleviation and
empowerment of the poor women. BRAC outreach covers all 64
districts of Bangladesh and 78% of the total number of villages
in Bangladesh. BRAC's has collaborated with the government
to immunize children and pregnant women. Under the essential
health care program, with the help of Shashtho Shebikas (Health
Volunteers) and Shastho Kormis (Health Workers) immunization
coverage of the population is 80% (BRAC, 2004). The program
also provides services to pregnant women for improving their
health and nutrition status. The reproductive health needs
of the community in general, with particular focus on BRAC
members, are addressed through education on family life, contraception,
and awareness of HIV/AIDS. Therefore, due to the BRAC women's
education and financial independence, they themselves come
forward to learn about family planning and the women become
determined to have fewer children. The Grameen Bank (GB) was
established 1976 (Founded by the 2006 Nobel Laureate Professor
Muhammad Yunus) with the objectives of extending banking facilities
to poor men and women; eliminate the exploitation of the poor
by money lenders; and create opportunities for self-employment
for the vast multitude of unemployed people in rural Bangladesh.
As of July 2004, it has 3.7 million borrowers, 96% of whom
are women. GB provides services in 46,000 villages, covering
68% of the total villages in Bangladesh. GB has introduced
higher education loans for all students from Grameen families
who can enter into the higher educational institutions (medical
schools, engineering, universities etc.). Students are responsible
for repaying the loans when they start earning. Half of the
numbers of scholarships are reserved for female students.
They believe that education leads to much better jobs and
then much better income. BRAC is directly involved in education
and health sectors and GB is indirectly involved in education
sectors in Bangladesh.
Fertility: Fertility is a
key demographic process determining population change. The
fertility transition in Bangladesh by observing time series
estimates of TFR 1 over the last 25 years, beginning with
the 1975 BFS, indicates a decline of 48 percent in TFR; a
decline of 1.9 percent per year (Table 1) mainly because of
rising contraceptive prevalence, due to effective immunization
and reduction of child mortality. The pace of fertility decline
has slowed down recently compared to the exceptionally rapid
decline in the late 1980s and the early 1990s and since then
it has remained almost constant. For example, within a period
of five years, starting from 1989 to 1993-94, fertility has
declined by 33 percent or 6.6 percent per year, while for
the next six year period 1993-94 to 1999-2000, it is only
4% or less than 1% per year. The fertility rates by age group
shows that starting from 1975 to 1993/94 fertility declined
steadily in 1993/94 in all age groups with the exceptions
of age group 15-19. The age specific fertility rates in 1999-2000
also shows decline in all age groups since 1993-94, except
the age groups 15-19 and 25-29. The decline is steeper among
women aged 35 and above. This indicates that there is a shift
in fertility towards younger age groups in recent years and
fertility has declined substantially among older age groups.
| Table
1. Total fertility rates (TFR) among women age 15
to 49, selected sources, by region, Bangladesh, 1975 to
1999-2000. |
|
Indicators |
Survey and approximate time period |
|
1975BFS |
1989BFS |
1991CPS |
1993-94BDHS |
1996-97BDHS |
1999-2000BDHS |
| Age
group |
|
|
|
|
|
|
| 15-19 |
109 |
182 |
179 |
140 |
147 |
144 |
| 20-24 |
289 |
260 |
230 |
196 |
192 |
188 |
| 25-29 |
291 |
225 |
188 |
158 |
150 |
165 |
| 30-34 |
250 |
169 |
129 |
105 |
96 |
99 |
| 35-39 |
185 |
114 |
78 |
56 |
44 |
44 |
| 40-44 |
107 |
56 |
36 |
19 |
18 |
18 |
| 45-49 |
35 |
18 |
13 |
14 |
6 |
3 |
| TFR
15-49 |
6.3 |
5.1 |
4.3 |
3.4 |
3.3 |
3.3 |
| Region |
|
|
|
|
|
|
| Urban |
NA |
NA |
3.9 |
2.7 |
2.1 |
2.5 |
| Rural |
NA |
NA |
4.7 |
3.5 |
3.4 |
3.5 |
| Division |
|
|
|
|
|
|
| Rajshahi |
NA |
4.6 |
4.3 |
3.03 |
2.78 |
3.02 |
| Khulna |
NA |
4.7* |
4.2 |
3.05 |
2.52 |
2.7 |
| Dhaka |
NA |
5.18 |
4.4 |
3.45 |
3.18 |
3.21 |
| Chittagang |
NA |
5.9** |
5.0** |
3.95** |
4.06 |
3.96 |
| Barishal |
NA |
NA |
NA |
3.47 |
3.31 |
3.26 |
| Sylhet |
NA |
NA |
NA |
NA |
4.20 |
4.08 |
Note: NA = Not available, * Khulna and Barishal
division is combined, ** Chittagong and Sylhet division is
combined.
Source: Bangladesh fertility survey 1975 and 1989, Contraceptive
prevalence survey 1991.
Bangladesh demographic and health survey 1993-94, 1996-97
and 1999-2000.
Notes: TFR 1: Total fertility
rate, expressed per women. Rates are for the period 1-36 months
preceding the survey. Rates for age group 45-49 may be slightly
biased due to truncation.
The rate of fertility decline in
Bangladesh has not been uniform in different regions. Fertility
is higher in rural (3.54) than in urban areas (2.45). For
urban women, increased participation in the labour force,
starting at adolescence, contributes significantly to controlling
fertility. The difference is especially large at younger ages,
which probably reflects longer education and later marriage
of women in urban areas (BDHS 2000). Again Table 1 shows that
during late 1980s to early 1990s all the divisions in Bangladesh
experienced more or less uniform decline in fertility. Even
in Chittagong division having highest fertility in the mid
1980s, which is still continuing, the rate of decline was
almost identical in magnitude as compared to that of the other
divisions. However, since 1993-94 the decline in fertility
is not uniform across the regions. During the period 1993-94
to 1996-97, Chittagong division shows an increase in fertility
level by about 3%, while all other divisions show some decline
in fertility. The magnitude of decline was higher in Khulna
(17%) followed by Rajshahi (8%) and Barishal (5%). On the
other hand, during the period 1996/97 to 1999/00, fertility
has increased in low performing regions of Khulna and Rajshahi
and also in Dhaka, but declined in Barishal and Sylhet divisions.
There are so many NGOs currently
working on health and family planning as well as other problem
areas in different regions of Bangladesh that their activities
may have encouraged people to adopt contraception in the late
1980s, precipitating a change in reproductive behavior. BRAC
is directly working in family planning sectors while the Grameen
Bank (GB) is in economic and financial sectors. But their
activities are not uniform between the regions. It appears
that they are more active in regions, such as Khulna and Rajshahi,
where fertility decline has been substantial, suggesting a
link between services they have created for women and fertility
decline.
Women's Employment: Traditionally,
women were involved largely in the non-monetised sector and
in subsistence activities. In recent decades, women have experienced
some major changes in the labour market, primarily in terms
of the nature of jobs and opportunities. Table 2 shows that
the rate was gradually decreasing till 1981 but there is an
increase in 1991 and again a decrease in 2001 except for women's.
| Table
2. Urban and Rural Activity Rates by Sex and Proportions
of Agricultural and Non-agricultural Workers, 1961-2001. |
|
Census Year |
Activity Rate |
Proportion |
|
Bangladesh |
Urban |
Rural |
Agriculture |
Non-Agriculture |
|
Male |
Female |
Male |
Female |
Male |
Female |
Male |
Female |
Male |
Female |
| 1961 |
87.6 |
17.4 |
75.0 |
14.3 |
88.0 |
17.9 |
85.0 |
91.8 |
15.0 |
8.2 |
| 1974 |
80.4 |
4.0 |
73.7 |
5.8 |
81.2 |
3.8 |
77.5 |
69.8 |
22.5 |
30.2 |
| 1981 |
73.9 |
4.3 |
69.1 |
7.5 |
75.0 |
4.2 |
63.0 |
61.3 |
37.0 |
72.0 |
| 1991 |
77.1 |
6.7 |
75.0 |
10.3 |
77.7 |
5.8 |
57.5 |
18.0 |
42.5 |
82.0 |
| 2001 |
64.6 |
9.3 |
63.1 |
13.7 |
64.7 |
7.9 |
52.2 |
43.9 |
47.8 |
56.1 |
Source: Bangladesh Population Census 2001
Notes: 2 Under the extended definition of labour force, persons
who are engaged in some major household activities such as
food processing, threshing, cleaning, and livestock and poultry
raising are considered as part of the economically active
population.
Table 2 shows that the activity
rate was highest in1961 for both males and females, which
is undoubtedly due to the inclusion of household work in the
economic activity during that time period (BBS 1981). From
1981 there has been an increasing trend in the female activity
rate, which tremendously increased between 1991 and 2001.
The urban female activity rates observed from different census
years are higher than that of rural areas since 1974. Increases
in female participation rate in urban areas from 6% in 1974
to 8% in 1981 and 10% in 1991 and 14% in 2001 display more
and more involvement of females in economic activity outside
the home. Also the proportion of females economically active
in the non-agriculture sector increased substantially from
1961 to 1991. In 1961, only 8% of the total female workers
were engaged in non-agriculture pursuits, which increased
to 82% in 1991 although the percentage decreased to 56% in
2001. It is worth mentioning that a significant number of
women also work as teachers (primary and BRAC School), lawyers,
journalists, government employees and for non-government organizations
(NGOs). Women's increasing labor force participation, on the
one hand, and public awareness and efforts by NGOs and mass
media, on the other, have played an important role in encouraging
this.
In spite of these achievements,
however, the majority of women in Bangladesh have yet to be
empowered to participate actively in the social, cultural,
economic and political life of the country. The policies and
programs of the Government, some NGOs and other institutions
do not sufficiently address the need for women's empowerment.
Women's Education and Training:
Education is a key determinant of lifestyle and status, in
order for an individual to be able to enjoy life in a society.
It affects almost all aspects of human life, including demographic
and health behavior. In Bangladeshi society, as boys are perceived
to take care of parents, sending them to school and investing
in their education is more common than for girls. Nevertheless,
the primary level enrolment rates for girls have gone up remarkably
(Table 3). The gap between male and female enrollment rates,
which stood at 22 percent in 1985, declined to 3 percent over
the past decade and a half. Although noteworthy achievements
have been made in female enrollment at the primary level,
progress has been very slow in secondary level education.
At this level male and female enrollment rates improved only
by 5 and 10 percentage points, respectively, between 1985
and 1995. At the primary level, girls' enrollment is increasing.
In 1990 45% of girl's aged 6-10 were enrolled but in 2000
it was 49%. However, the dropout rate of female students who
went on to secondary school reaches half, 10 percentage points
higher than their male counterparts. Very few women continue
their education up to the tertiary level. This negatively
affects the overall rate of return from education and women's
labour markets.
| Table
3. Educational Status of women. |
|
Indicator |
Bangladesh |
Urban |
Rural |
| Female |
Male |
Female |
Male |
Female |
Male |
Adult
Literacy rate1 15 +, 2001
Net enrollment, primary school 2, 1997
Net enrollment, secondary school 3, 1995
Drop out rate at secondary level, 1996 (%) |
41.4
77.1
19.0
48.4
|
59.4
84.7
23.0
37.8 |
60.0
93.0
n.a.
n.a. |
75.4
96.0
n.a.
n.a. |
36.2
73.6
n.a.
n.a. |
56.1
82.5
n.a.
n.a. |
n.a. = not available
Source: Sample Vital Registration, BBS; Multiple Indicator
Cluster Survey, BBS; Statistical Yearbook, 1997, BBS; Population
Census (2001).
Notes: Secondary
level covers VI to XII and age 13-16 group. 1 The adult literacy
rate is defined as the proportion of literate population of
age 15 years and above to the total population of the same
age groups. 2 The primary school enrolment ratio is defined
as the ratio of enrolled students belong to age group 6-10
years in the primary school to the total population of that
age and expressed in percentages. 3 The secondary school enrolment
ratio is defined as the ratio of enrolled students of age
13-16 years and above in the secondary school to the total
population of that age groups and expressed in percentages.
Lower access to technical education
and secondary and higher education, gender-biased curriculum
and curriculum without job prospects are critical concerns
for women's education that must be addressed through coordinated
efforts. Adult education for women has also been emphasized.
There is also provision for increasing teachers' training
of women for both the primary and secondary levels. Government
stipend schemes for girls up to grade 8 are some of the important
factors behind the rise in girl's enrollment at the primary
level. Non-formal education programs run by Bangladeshi NGOs
such as the Bangladesh Rural Advancement Committee (BRAC)
have been internationally acclaimed. Some large NGOs run thousands
of schools providing education to children who are not able
to avail themselves of Government-sponsored education. The
Government has recognized this contribution of NGOs and there
is significant collaboration between them. There is special
emphasis on girls' education as education and eradication
of illiteracy are considered to be the first steps toward
the empowerment of women.
 |
POPULATION AND FERTILITY DATA
This study utilized mainly the 1999-2000
Bangladesh Demographic and Health Survey (BDHS) based on a
nationally representative, two-stage sample that was selected
from the master sample maintained by the Bangladesh Bureau
of Statistics (BBS) for the implementation of surveys before
the census (2001). Other information comes from the Population
census 2001. The 1999-2000 BDHS collected information on a
respondent's background characteristics (age, residence, education,
religion, etc), employment history and occupation, contraceptive
use history, marriage and fertility preferences. The master
sample consists of 500 primary sampling units (PSUs) with
PSUs in each stratum except for the urban strata of the Barishal
and Sylhet divisions. In the rural areas, the primary sampling
unit was the mauza, while in urban areas, it was the mahalla.
Mitra and associates conducted a household listing operation
in all the sample points from September to December 1999.
A total of 10,268 households were selected for the sample
of which 9,854 were successfully interviewed. In these households,
10,855 women were identified as eligible for the individual
interview (i.e. ever-married and age 10-49) and interviews
were completed for 10,544 (97%) of them, with 9,720 currently
married women. But my analysis covered only 9502 women who
are able to bear children. Infecund, divorced, widowed etc.
women were not involved in the analysis.
In BDHS, currently married women
were asked "would you like to have (a/another) child
or would you prefer not have any more children"? Interviewers
were instructed to use the words in parenthesis depending
on whether the respondent had children or not. Pregnant respondents
were asked if they wanted another child then asked how long
they would like to wait before the birth of the next child.
Almost 52 percent of currently married women age 10-49 in
Bangladesh said that they wanted no more children and an additional
7 percent had been sterilized. 37 percent of women wanted
to have a child at some time in the future; however the vast
majority of these women answered that they would like to wait
two or more years before having their next birth (Table-4).
The desire for additional children declined noticeably in
Bangladesh over the past decade. In 1991, 45 percent of married
women with two children wanted to have another child in the
future (Mitra et al., 1983:84); in the 1999-2000 BDHS survey,
the proportion was only 30 percent. Conversely, the percentage
of women with two children who wanted no more children or
who had been sterilized rose from 48 percent in 1991 to 66
percent in 1999-2000. There was little change in overall fertility
preferences since 1996-97, with the proportion of women who
either wanted no more children or who had been sterilized
increasing from 58 to 59 percent.
| Table
4. Percentage distribution of currently married women
age 10-49, desire for more children, Bangladesh 1999-2000. |
| Desire
for children |
No.
of Respondents |
Percentage |
| Wants another child> |
3596 |
37.0 |
| Wants no more child |
5735 |
59.0 |
| Undecided, infecund |
389 |
3.7 |
| Total |
9720 |
100 |
For analytical purposes, I divide
the above data into two categories: one is women who wanted
another child and the other is those did not want another
child.
METHODOLOGY AND ANALYSIS
In this section, we examine what
affects fertility outcomes, given stated preferences for more
children or for no more children. In this paper for analytical
purpose, logistic regression models are used. The logistic
regression model has become the standard method of analyzing
data in which the dependency of a binary response variable
is being tested on a number of explanatory variables. A response
(dependent) variable (Y) is binary. In our analysis, it can
take "1" or "0" depending on whether a
respondent (an ever-married women in the age group 10-49)
wants another child or not. Variables of this type are often
called binary or dichotomous variables. The SPSS for windows
version 11.5 is utilized for the logistic regression analysis.
The multivariate analysis controls
for various characteristics that may have affected a woman's
propensity to bear children. The probability of having a child
generally decreases with the woman's advancing age owing to
growing infecundity and less frequent sexual activity. The
number of living children, controlling for the woman's age
may reflect some measure of the woman's fecundity (in that
she has a higher probability of conceiving and thus a greater
potential for more births in her reproductive period) in addition
to preferences for more children or to an infrequent use of
contraception. A woman with higher education may be better
able to control family size because she tends to be an effective
user of contraception (Mamlouk, 1982; Rodriguez, 1979). In
addition, some evidence indicates that with increasing education
and greater participation of women in the labour force, domestic
labour becomes more equally divided between husband and wife.
Although women still perform the most domestic work, this
change may precipitate a shift to a smaller family size because
men want to do less work at home after returning from outside
activity (UN, 1985).
In this paper, most of the independent
or explanatory variables are quantitative and for the purpose
of comparison we converted then into qualitative variables
of interval scale and the respondent belongs to a particular
interval scale that has the value '1' otherwise '0'. The independent
variables include the woman's residential status (rural, urban
and administrative division), employment status (employed,
not employed), occupational status (agriculture, non-agriculture,
working for cash only, working for kind only), household head
(male or female), educational status (no education, primary
level, secondary level and higher education), religion (Muslim,
Hindu, Christian and others), age group (10-14, 15-19, 20-24,
25-29, 30-39 and 40-49), exposure to mass media (listening
to radio irregularly/regularly, watching TV irregularly/ regularly),
number of living children (below 2, exactly 2 and above 2
i.e. 3 or 4), pregnancy status (currently pregnant, not pregnant),
involvement in NGOs (Grameen Bank, BRAC, BRDB, Mothers club/Mothers'
association and Others), and her husband's occupational status
(agriculture, non-agriculture) and educational status (no
education, primary level, secondary level and higher education).
We also include interaction terms between some of these independent
variables. Table 5 reports the results of this multiple binary
logistic regression analysis. In order to measure the effect
of each explanatory variable, we calculate an odds ratio,
which is the anti-log of the co-efficient for each variable.
| Table
5. Logistic Regression Explaining whether Women wanted
another Child, by background characteristics of ever-married
women, Bangladesh: BDHS 1999-2000. |
| Selected
Characteristics |
Regression
Co-efficient |
Odds
Ratio |
Residential
status
Urban (Ruralr)
Geographical Region (Division) Rajshahi
(Dhakar)
Chittagang
Khulna
Barishal
Sylhet |
-0.230**
-0.293**
0.532*
-0.471*
-0.057
0.612*
|
0.795
0.746
1.702
0.624
0.944
1.844 |
Employment Status
Employed (Not Employedr)
Occupational status
a)Non-Agriculture (Agriculturer)
b) Earns for cash only(Kind onlyr) |
-0.096***
-0.004****
-0.093*** |
0.908
0.996
0.911 |
Household
Head
Female (Maler) |
-0.034**** |
0.967 |
Age
10-14 (25-29r)
15-19
20-24
30-39
40-49 |
2.181*
1.057*
0.568*
-0.985*
-3.004* |
8.858
2.877
1.765
0.373
0.050 |
Educational
Status
Primary level (No education r)
Secondary
Higher |
0.051
-0.011****
-0.187*** |
1.052
0.989
0.829 |
Religion
Hinduism (Islamr)
Christianity
Others |
-1.168**
-0.423*
0.484 |
0.311
0.655
1.623 |
Access of mass media
a) Listen to radio regularly (Irregularlyr)
b) Watch TV regularly (Irregularlyr) |
0.140
-0.034**** |
1.151
0.967 |
Number
of living Children
Below 2 (Exactly2r)
Above 2
3
4 |
3.001*
-0.473*
-1.212* |
20.098
0.623
0.298 |
Pregnancy
Status
Current Pregnant (Not pregnantr) |
-2.238* |
0.107 |
Involvement
in N.G.O’s
BRAC (BRDB r)
Grameen Bank
Mothers Club
Others Organization |
-0.299***
-0.113
-0.450
0.018 |
0.742
0.893
0.637
1.018 |
Respondents
Husband Occupation
Non-Agriculture (Agriculturer) |
-0.075**** |
0.928 |
Respondents
Husband Educational Status
Primary (No educationr)
Secondary
Higher |
-0.072
-0.200****
-0.090**** |
0.930
0.818
0.914 |
Intercept
-2loglikelihood
Cox & Snell R2
Nagelkerke R2
df |
-0.720*
6351.942
0.486
0.652
35 |
|
r = Reference category,
*Significant at P<0.001, **Significant at P<0.01, ***Significant
at P<0.05
****Significant at P<0.10
Notes: Not employed = housewife/housework. Agriculture = Own
land, Rental land and other's land worker/ Cultivator. Non-agriculture=
Professional, Technical, Clerical and Managerial occupations.
The results show, first, that women
residing in urban areas are generally less likely to want
more children than those in rural areas and the results are
statistically significant. For individual administrative divisions,
the regression coefficients corresponding to the Chittagong
and Sylhet division are positive but the Rajshahi, Khulna
and Barisal division the coefficients are negative in sign
and statistically significant except Barishal division. The
effect in the Chittagong and Sylhet divisions is 1.7 and 1.84
times higher than that of the Dhaka division. On the contrary,
in Khulna, Rajshahi and Barisal it is (1-0.62) x 100 =) 38%,
25% and 6% less than that of Dhaka.
With respect to employed women in comparison with non-employed
women (housewives), the results show that the desire for another
child among working women is 9% less than that of non-working
women and that the women engaged in the non-agriculture sector
want fewer children than those in the agriculture sector.
The category "working for cash" is a better indicator
of women's working status, for which we found that the regression
coefficient is -0.09, which is greater than that for the umbrella
of non-agriculture. The odds ratio corresponding to the women
working for cash is 0.91, indicating that the desire for another
child is 9% less than that of women whose earnings are in
kind.
The effect of age is important. Table 5 shows that the ever-married
women under age 30 are likely to want more children and above
age 30 are less likely to want any more children and the results
are statistically significant. Female headship also turns
out to be statistically significant. The female-headed family
is less likely to want more children than the male headed.
Education is another important characteristic
of the women. Increased education is often suggested as one
way to raise women's status and to prompt their participation
in the labour force. The regression coefficients of the primary
level, secondary level and higher education are 0.05, -0.11
and -0.19 respectively, which are negative in sign and statistically
significant except for primary education. The women's husbands
extend similar effects on the demand for children through
their employment and education.
Religion has a significant relevance
in demography. Muslim communities consistently tend to show
higher fertility than many other non-Muslim communities. In
our analysis, 88 percent of the respondents practice Islam
and it is evident from the data of BDHS 1996/97 that the proportion
of women currently using any contraceptive method is 49%,
lower than for non-Muslim 59% women. Foe example, the desire
for another child among Hindu women is 69% less than that
of the Muslim women.
According to1996/97 BDHS data, the
percentage of women exposed to Television has increased sharply
(from 29 to 35 percent), while the percentage who listen to
the radio has declined (from 39 to 29 percent). The regression
coefficient of mass media is 0.14 for radio and -0.03 for
TV, and it is for TV only that the coefficient has a right
sign and is statistically significant. This result indicates
that the demand for additional children among the women who
watch TV regularly is 3% less than that for women who do not
watch TV regularly.
The desire for an additional child
also varies with the number of existing children. The regression
coefficient is 3.0 if the number is below 2; if it is 3 the
coefficient becomes -0.47 and -1.21 when it is 4. All the
results are statistically significant. The odds ratios indicate
that the women having less than two children are 21 times
more likely and the women having 3 and 4 children are 38%
and 70% less likely to want additional children than women
having two children. It is interesting to note that the regression
co-efficient of currently pregnant women is -2.24 and statistically
significant. The odd ratio indicates that the desire for another
child is 89% lower among the currently pregnant women than
among non-pregnant women.
The next important variable is NGOs
that are widespread in Bangladesh. In my study, a total of
2405 respondents are involved in different NGOs and out of
them 1731 (72%) of respondents do not demand any more children.
This proportion is highest in BRAC (21%) and next GB (17%).
For measuring the association between fertility preference
and involvement in different NGOs I would like to use the
following hypothesis. H0: There is no association between
fertility preference and involvement in NGOs Vs H1: There
is some association between the two attributes. To test the
hypothesis we construct the following 2×2 contingency
table.
| Table
6. 2 × 2 Contingency Tables |
|
Attributes |
Fertility Preference |
Total |
c2 (M-H) |
| No |
Yes |
|
Belongs to GB |
No |
5315 |
3622 |
8937 |
34.89* |
|
Yes |
420 |
145 |
565 |
|
Total |
5735 |
3767 |
9502 |
|
|
Belongs toBRAC |
No |
5240 |
3592 |
8832 |
36.24* |
|
Yes |
495 |
175 |
670 |
|
Total |
5735 |
3767 |
9502 |
|
|
Belongs toBRDB |
No |
5640 |
3736 |
9376 |
7.96** |
|
Yes |
95 |
31 |
126 |
|
Total |
5735 |
3767 |
9502 |
|
|
Belongs toMC |
No |
5716 |
3760 |
9476 |
0.35 |
|
Yes |
19 |
7 |
26 |
|
Total |
5735 |
3767 |
9502 |
|
|
Belongs to Others organization |
No |
5033 |
3451 |
8484 |
18.12* |
|
Yes |
702 |
316 |
1018 |
|
Total |
5735 |
3767 |
9502 |
|
* Significant at p<
0.001, **Significant at P<0.01
Source: Goni, M. A. (2008).
Through x2
as well as Mantel- Hansel test it is observed that there is
significant association between fertility preference and involvement
in NGOs and the direction of the association is negative.
Here we pay particular attention to the Bangladesh Rural Advancement
Committee (BRAC) and Grameen Bank (GB). Their coefficients
are negative, which suggests that those NGOs are instrumental
in reducing fertility. According to Table 5, it is only BRAC
that shows a statistically significant result. The odd ratio
indicates that the women under the activities of BRAC have
26% lower demand for another child than that obtained from
the women under the activities of Bangladesh Rural Development
Board (BRDB). But Table 6 shows that all the NGOs have highly
significant effects on fertility except Mothers club.
REGIONAL VARIATION
In the previous sections it was discussed
that the rate of fertility decline in Bangladesh was not uniform
across regions (Table 1). It is evident that the fertility
level has declined rapidly in Khulna and Rajshahi Divisions.
On the other hand, Sylhet and Chittagong Divisions are lagging
behind, while the performance is in-between in Dhaka and Barisal
Divisions. According to the DHS findings on the age at marriage
and fertility patterns in Rajshahi, Khulna and Chittagong
(Islam and Zaman, 1995 a,b), it is also noteworthy that the
age at marriage is lowest in the high performing regions of
Khulna and Rajshahi. Marriage age and the cumulative number
of births are related. The women of Khulna and Rajshahi get
married earlier so that they tend to start childbearing at
an early age (high teenage fertility). However, it is interesting
to note that the use of contraception is highest in these
divisions. In contrast, women living in Chittagong and Sylhet
Divisions get married at relatively higher ages but they tend
to have more children within a shorter span of life, since
the use of contraception is relatively lower there. This is
clear from the data of BDHS 1999-2000: the percentage of women
currently using contraceptive methods for Dhaka, Chittagong,
Rajshahi, Khulna, Barisal and Sylhet is 54, 44, 59, 64, 59
and 34 respectively. It is also evident from the data that
the percentage of working women is significantly lower in
Chittagong and Sylhet as compared with Rajshahi and Khulna,
while contraceptive use is generally higher among working
women than among non-working women (Mitra and Associates,
2000). Studies have shown that Dhaka, Chittagong and Khulna
are more urbanized while Rajshahi, Sylhet and Barisal are
less urbanized (ranked according to per capita GDP and socio-economic
index. See Islam 2003). More than 80% of women live in areas
classified as 'rural'. BDHS 2000 data indicate that 56% of
ever-married women in Bangladesh live in places where Grameen
Bank, BRAC and Mother's club are active, and 60% live in areas
where cooperative societies are functioning. It is also worth
noting that BRAC and Grameen Bank are more active in rural
divisions such as Rajshahi, Khulna and Sylhet than in others
divisions. And it is these rural divisions where higher levels
of contraceptive use are observed.
 |
CONCLUSION AND POLICY IMPLICATIONS
The following points can be made
by way of conclusion:
1. As expected, women's employment
exerts a discouraging effect on the desire for another child.
This effect is particularly marked for those engaged in non-agriculture
activities and working for cash.
2. Another important factor reducing fertility is education.
This operates through both men's and women's education. However,
it is more important for women to receive secondary and higher
education: they tend to want fewer additional children than
non-educated women.
3. It is observed that mass media, especially television (TV),
also plays a role in reducing the desire for more children.
4. It is also found that NGOs are instrumental in affecting
fertility preference. Since the NGOs increase women's awareness
and educational levels while creating employment opportunities,
women involved in those activities can increase autonomy and
gain empowerment. Especially, BRAC and Grameen Bank are likely
to have been exerting an impact on the desire for an additional
child.
The first three of these points have
been shown in many studies, both in Bangladesh and elsewhere.
But the fourth point is a new finding, and has important policy
implications. The government cannot successfully intervene
in all the areas commented above. For example, it is not easy
for the administration to take a direct measure to increase
the employment of women except in the state sector.
It is evident that the government
should invest more in education for girls. Setting up more
girls' schools is one of such measures, and parents should
be encouraged to send more daughters, not just sons, to secondary
and higher education. Therefore it should be considered that
NGOs are partners in campaigns for women's empowerment and
also for fertility decline. Many NGOs have their own programmes
to increase the use of contraceptive measures, but what our
research suggests is that women's involvement in these activities
is likely to have interactions with the effect of education
of fertility preference, so that the overall impact on fertility
decline is expected to become more effective.
Acknowledgements: The author wishes
to express his deep thanks to Professor Osamu Saito, Hitotsubashi
University, Tokyo, Japan for reading carefully this paper
and making his valuable comments and suggestions which was
essential for the improvements of this manuscript.
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