| |
July 2009 - Volume 3, Issue
4
Fertility and
Contraceptive Use in Bangladesh: the Role of Women's Education
and Mass Media
 |
Md. Abdul Goni, Ph.D
Associate Professor
Department of Population Science and Human Resource
Development
University of Rajshahi, Rajshahi -6205
Bangladesh
|
 |
magoni_popsrubd@yahoo.com |
 |
| ABSTRACT
In this paper our aim is to
examine the impact of education, both formal and informal
(via media, GOs and NGOsa) education, which is believed
to affect the use of contraceptives and hence, fertility
levels. This paper utilized the logistic regression
model of Bangladesh Demographic and Health Survey data
to investigate the effects of education, and exposure
to mass media, on the method of contraception and on
fertility. The results show educational attainment (at
least secondary) and exposure to mass media substantially
increases use of contraception and consequently fertility
decline. Women members of GOs/NGOs, urban residence,
number of surviving male children, and employment status
are other factors associated with increased use of contraception
and decline in fertility. Interestingly, the effects
of media and GOs/NGOs varied according to the urban-rural
residences. While television was found to have a significant
effect on fertility and contraceptive use between both
the urban and rural women, the effect of radio and GOs/NGOs
was insignificant among the rural women. However, exposure
to mass media and education (except secondary) appears
to have weak significant effects on fertility and strong
on contraceptive use.
Key Words: Fertility,
Contraceptive Use, GOs/NGOs, Mass Media, Formal and
Informal Education.
|
INTRODUCTION
As in many other developing countries,
Bangladesh is a country that has achieved a substantial reduction
in fertility despite little improvement in levels of material
well-being, education, women's status, child survival and
other factors frequently associated with demographic transition.
The family planning program is credited with being the main
driving force behind this reduction, while the role of social
and economic change is de-emphasized (Larson and Mitra 1992;
Cleland et. al. 1994). Bangladesh is internationally considered
a success story in family planning (Freedman, 1995), with
an increase in contraceptive prevalence rising from 8 percent
to 54 percent and a decline in the total fertility rate from
6.3 to 3.3 in the three decades since independence (Mitra,
et. al., 2001). Success in meeting these population goals
were advanced with the help of concerted efforts of the government
in conjunction with NGOs and donor organizations who ensured
that free or affordable contraceptives were available in both
public and private facilities throughout the country. Since
the late 1980s there has been a large increase in the number
of couples using family planning methods. Unfortunately, the
use of family planning declined to 50 percent in 2001 BMMS.
The decline in overall use is due to a decline in the use
of traditional1 methods (from 10 to 6 percent). Use of modern
methods has little changed since 1999-2000.
Social indicators, such as employment
and electricity, have allowed women to gain in the development
process. There has been an increase in the number of females
in the workforce, nationally as well as in rural areas. The
garment industry absorbed a good majority of female labor.
Electricity also generates employment. Its impact on employment
is both direct and indirect. The percentage of households
with an electrical connection increased from 68 percent in
1991 to 77 percent in 1994 in urban areas and it doubled from
7 percent to 14 per cent respectively in rural areas (Khuda
and others, 2000). Women in the electrified households are
involved more in household level income-generation activities
and depict better re-allocation of time for remunerative employment.
The unemployment rate is relatively low in the electrified
households; and a relatively higher share of non-agricultural
employment in the electrified households indicates a modernization
effect of electricity on occupation. It is interesting to
note that the overall literacy rate for both males and females
in the electrified households is higher, especially due to
the household's access to electricity which has contributed
much both in economic terms as well as in raising awareness
about value of education (Barkat, et. al. 2002). This strongly
suggests that access to radio and TV enhances literacy in
an informal way. Also NGOs have encouraged women's participation
in activities outside the formal sector. In Bangladesh most
of the NGOs working at the community level have tried to increase
opportunities for women through informal education (see appendix
C.1) and micro-credit programs. There are so many NGOs currently
working on health and family planning, as well as, on 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 (Goni, 2008).
There exist demographic and socio-economic
variations across different regions in Bangladesh. Various
studies have confirmed that during the past two decades women's
status, in terms of education, employment, mobility and decision-making
power, has undergone major changes. Also, there is evidence
that such changes have contributed to increased contraceptive
use and consequently fertility decline (Khuda and others,
1990; Khuda and Barkat, 1992). Additional changes resulting
from increased access to mass media have fostered modern outlooks
and attitudes, thereby lowering high-fertility norms, even
among the poor. Radio ownership has increased from 25 to 31
percent. Access to television from 7 to18 percent from 1993-94
to 2000 in the rural areas; moreover, there is some access
to cable networks (Mitra, et. al., 2001). The role of mass
media, especially radio, is a contributing factor in popularizing
the family planning movement in many of the developing countries.
Villages in Bangladesh are less isolated today, having been
linked to the outside world by the mass media (Cleland et.
al. 1994). However, recent statistics suggest that, despite
a continuing increase in contraceptive use, fertility decline
in Bangladesh has stalled: Three successive Demographic and
Health Surveys show that the total fertility rates were 3.4,
3.3, and 3.3 in 1991-93, 1994-96, and 1997-99, respectively
and that contraceptive use has little improved (Mitra, et.
al., 2001). It is believed that education and media, especially
radio and television, has been the most instrumental vehicle
in building awareness and spreading the knowledge of use of
contraception and small family norms. Utilizing the Bangladesh
Demographic and Health Survey (BDHS) data, the impact of education
and the role of Radio and TV as an informal medium of education
in reducing fertility and increasing contraceptive use will
be examined in this chapter. We will also examine whether
the effects of education and media vary among married women
between urban and rural areas. This paper also tries to determine
the other important factors that explain fertility behavior
and contraceptive use.
The paper is organized as follows.
In section 2 we discuss objectives, data and methodology;
section 3 presents findings and discusses trends in fertility
and current use of contraception, women's education and fertility,
women's education level by some selected variables, determinants
of fertility and contraceptive use; summary and conclusions
are presented in section 4.
OBJECT, DATA AND METHODOLOGY
The major objective of this paper
is to examine the impact of education, both formal (as captured
by educational attainment) and informal (as captured by media,
GOs and NGOs), on the use of contraceptives and fertility
in the national and urban-rural levels. Also this paper looks
at the trends in fertility levels and contraceptive use in
Bangladesh from 1975 to 2000. National level data are used
for the 1975-2000 period. For the multivariate analysis of
the determinants of contraceptive use and fertility decline,
the 1999/2000 BDHS data are used. The 1999/2000 BDHS employed
a nationally representative, two-stage cluster sample design.
In the 1999/2000 BDHS, a total of 10,544 eligible women (ever-married
and aged 10-49 years) were interviewed. In this study, we
consider only currently married women of reproductive age:
9,450, from the 1999/2000 BDHS. Among these women, 6,630 lived
in rural areas, and 2,820 lived in urban areas.
Two dependent variables are used: (a) current use of contraception
(yes =1; no=0), and (b) fertility preference (prefer another
child =1; otherwise =0). The interesting outcome of this analysis
is "fertility preference" which indicates women's
attitudes toward their future fertility. Although these attitudes
may not perfectly presage actual future behavior, they can
demonstrate prevailing social norms about family size. Because
one of the goals of the National Family Planning Program is
to promote a small family norm, these preferences may provide
answers about the degree to which the program is accomplishing
its objectives. On a micro level, fertility preferences also
reflect the degree to which women and their husbands feel
that they exercise control over their reproduction. For the
contraceptive use variable - current use of modern family
planning methods and non-use of them as the proportion of
women reported that they were using family planning methods
at the time of interview. Modern methods are much preferred
(43 percent of married women) over traditional methods (10
percent). Logistic regression will be used for each dichotomous
dependent variable. The independent variables included are
the woman's age, number of surviving children, currently pregnant
women (according to the respondent reports), exposure to mass
media, women's education, member of GO/NGOs, discussed about
family planning method with husband, can go shopping center
after marriage, religion, employment status, electricity connection,
residence and geographic division. Age, age-square, and the
number of surviving children are treated as continuous variables.
Table 5 below shows descriptive statistics of the independent
variables used in this paper.
 |
RESULTS
1 Trends in Fertility and Current
use of Contraceptive Method
The time series estimates of TFR 1 over the last 25 years
beginning with the 1975 BFS indicates a decline of 48 percent
in TFR, or that of 1.9 percent per year. This can mainly be
accounted for by rising contraceptive use, effective immunization
and reduction of child mortality. The TFR declined dramatically
from 6.3 children per women in 1971-1975 to 3.3 in 1997-1999
(Figure 1). During the same period, the contraceptive prevalence
rate (CPR) increased more than six-fold, from 8 per cent to
54 per cent (Figure 2). With the help of the concerted efforts
of the government with NGOs in the field, the national family
planning program achieved a remarkable success in a short
period of time, attaining a current contraceptive prevalence
rate of 54 percent in 1999-2000. The relative share of modern
methods like pill and injection increased; however, the relative
share of long-acting clinical methods declined. There are
regional variations in contraceptive use, with Rajshahi (59%)
and Khulna divisions (64%) having the highest prevalence rate
and Chittagong (44%) and Sylhet (34%) divisions the lowest.
TFR is higher in rural (3.54) than in urban areas (2.45) and
contraceptive prevalence rate is 52% and 60% respectively.
Except the age group 15-19, fertility declined substantially
in all other groups, especially among women aged 35 and older
(Mitra, et.al. 2001). The pace of fertility decline slowed
down recently compared to the rapid decline in the late 1980s
and the early 1990s. Since then it remained almost constant
(Figure 1).
Figure 1: Trend in Total fertility
Rates in Bangladesh, 1971-1999

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.
Figure 2: Trends in
current use of family planning methods among currently married
women aged 10-49 years in Bangladesh.

Sources: Same as Figure 1.
2 Women's Education and Fertility
Women's education has long been recognized as a crucial factor
influencing women's childbearing patterns; extensive demographic
literature is devoted to examine the role of female education
in promoting sustained fertility decline. There are many reasons
why we would expect increased education having an impact on
fertility, and many researchers have documented the close
relationship between education and fertility decline. The
argument made by Lucas (2003) emphasizes that the increased
return in investment in education leads to fewer children.
Caldwell (1982) focuses on the increased costs of raising
a child and diminished expectations of the lifetime return
to parents from that child - both consequences of schooling
- as setting off a fertility transition.
Some other researchers have focused on the relationship between
women's education and fertility decline, arguing that a woman's
education reduces her desired family size, changes the relationship
between her desired number of children and planned number
of births, and improves her ability to achieve her desired
family size (Murthi, et al. 1995). Declines in fertility and
infant mortality move hand in hand, and women's education
may also have an indirect effect on fertility through the
role it plays in reducing infant mortality. Better-educated
women are more likely to know about hygiene and nutrition,
and are more likely to act on this knowledge (Caldwell, 1986).
The inverse relationship between female education and fertility
is often pointed out, which is usually explained by the fact
that higher education leads to greater use of contraception
and consequently to lower fertility. It is suggested that
education may enhance women's five levels of autonomy-knowledge
autonomy, i.e. decision-making autonomy, physical autonomy,
economic autonomy and social autonomy that eventually affect
various reproductive health behaviors (Jejeebhoy, 1995).
| Table
1. Relationships Between Female Education and Socio-economic/Demographic
indicators from BDHS (1999-2000) |
| Fertility
indicators related to |
No
Education |
Primary
education |
Secondary
and higher |
| Desired
family size |
|
|
|
| Mean
ideal number of children |
2.7 |
2.5 |
2.3 |
| Percentage
of women not having heard or seen family planning message
from radio or TV |
74.7 |
57.1 |
29.7 |
| Age
at marriage |
|
|
|
| Age at
first marriage of women aged (20-49) |
14.1 |
15.1 |
18.2 |
| Children’s
health |
|
|
|
| Infant
mortality rate a |
92.0 |
72.3 |
54.7 |
| Percentage
of children aged 12-23 months without vaccination b |
12.4 |
6.1 |
2.1 |
| Contraceptive
practice |
|
|
|
| Percentage
of women who are not currently using contraceptive method |
49.0 |
47.1 |
40.9 |
| Decision
making or women empowerment |
|
|
|
| Percentage
of women who can go alone to health center or hospital |
25.9 |
24.5 |
33.1 |
| Proportion
of employed women earning cash c |
64.2 |
74.1 |
89.0 |
Notes: a The probability
of dying before the first birthday. b According to the health
card or mother's report. c All other women work for kind or
both cash or kind. Primary education means grade 5 and secondary
and higher means-grade 10 and more.
Source: Bangladesh Demographic and Health surveys 2000.
Women's education reduces desired
family size by raising desired living standards and provides
a greater range of general information, better understanding
of the reproductive process, and access to modern and effective
means of birth control. Educated women tend to start using
contraception immediately after marriage or first birth, but
the less educated use contraceptives only to prevent higher-parity
births (Chaudhury, 1978). Thus the better educated are more
likely to
(i) marry later, use contraceptives, desire a lower number
of children and raise healthier children,
(ii) make better decisions for themselves and their children,
and
(iii) make greater economic contributions to the household.
According to Table1, the age at first
marriage is 14 with no education, compared with 20 for those
who finished at least secondary education. Among uneducated
women, the proportion of those who never heard or saw a family
planning message on radio or TV is 75 percent and 49 percent
do not use contraception; the corresponding figure for women
who completed at least secondary education is 30 and 41 percent
respectively. It is evident that female education can reduce
economic dependence on other family members and enhance freedom
of movement outside home. 64 percent of non-educated women
are employed earning cash, while it is 89 percent for those
who completed at least their secondary education. Better-educated
women have more freedom of movement. 26 percent of the non-educated
go alone to hospital for herself or for her children; compared
with 33 percent for those who completed at least secondary
education.
The Bangladesh Demographic and Health
Survey (1999-2000) provide interesting information about actual
and desired fertility rates and current contraceptive use,
access to media and educational attainment of women. As expected,
the educational attainment of women is strongly associated
with fertility. Looking at the relationships between women's
education and TFR (Table 2), it appears that TFR (2.3) of
women with at least secondary education completed is substantially
smaller than that of the uneducated (4.1). TFR decreases with
rising levels of education. Table 2 also presents data on
the same women's total wanted fertility rate (TWFR). All educational
groups of women, except those with no education, want to have
around replacement-level fertility (2.1) or lower. Women with
primary school-level education report that they want to have
2.2 children, whereas those with at least secondary education
want to have only 1.8 children. TWFR for women with no education
is above replacement level. For all educational groups, TFR
exceeds the TWFR. The difference is greatest for the group
with no education -TFR exceeds TWFR by 1.3 children - and
decreases with education to 0.5 children for the highest-level
group. Such differences between actual and desired fertility
suggest that by enabling women to avoid unwanted fertility
through better family planning services by both government
and non-government agencies, it would lead to a fertility
rate around replacement level for all women except those with
no education.
A quite similar picture emerges when
one compares the use of contraceptives by education levels
of women; only those who have completed at least secondary
education are more likely to report a higher use of both modern
and traditional methods than other women. It is worth mentioning
here that TFR and TWFR are lower among those with secondary
education. Generally contraceptive practice increases sharply
with education (BDHS 2000). Those indicators in Table 1 and
Table 2 suggest that educated women not only have different
fertility goals, but also have their aspiration focused on
reality.
| Table
2. Women's Educational attainment, according to fertility,
contraceptive use, access to media and residence: BDHS
(1999-2000) |
| Selected Variables |
No Education |
Primary education |
Secondary and higher |
| TFR1 |
4.1 |
3.4 |
2.4 |
| TWFR
2 |
2.8 |
2.2 |
1.8 |
| Method
of contraception (Any method) |
51.0 |
53.0 |
59.1 |
| Access to media |
|
|
|
Radio
(daily)
TV (weekly) |
17.4
19.5 |
30.7
35.4 |
48.1
64.0 |
| Residence |
|
|
|
Urban
Rural |
29.06
46.12 |
25.04
30.7 |
36.7
19.6 |
Notes: 1 see figure 1; 2 Rates
are based on births to women aged 15-49 in the period 1-36
months preceding the survey.
Sources: Same as Table 1.
But here it is hardly recognized
that the successive two BDHS 1996-1997 and 1999-2000 (Mitra,
et.al, 2001) suggested that contraceptive use has increased
among women with little or no education (5%), while this figure
is only 3% for those who had at least secondary education.
This is really surprising. Access to media may be a factor
explaining this progress among the illiterate; especially
listening to the radio is more common among rural than urban
women. It is that urban women are more likely to have access
to radio and television than rural counter parts; and the
urban-rural difference is much greater with TV watching (see
Table 5). Since the 1996-1997 BDHS survey, the ownership of
radios in urban areas decreased from 52 to 45 percent, while
there is little or no change in rural areas at 29 percent
(Mitra et. al., 2001). Listening to radio and watching TV
are positively associated with educational attainment; both
increase with increasing educational level of respondents.
If mass media is related to fertility
preference and contraceptive use, we have Tables 3 and 4.
Table 3 shows that of those who listen to radio and watch
TV, 67.8 and 70.3 percent respectively do not want an additional
child. Similarly 57.8 percent of those listening to radio
use contraceptive methods. In the case of TV watching, 62.2
percent are users of contraceptives. Therefore, Tables 3 and
4 suggest that women listening to radio and watching TV are
more likely to use contraceptives and less likely to want
additional children.
| Table
3. Fertility Preference and Mass media from BDHS
1999-2000 |
| Mass
Media |
Fertility
Preference |
| No |
Yes |
Total |
Listening
to radio:
No
Yes |
-
3566(59.66)
2352(67.76) |
-
2411(40.34)
1119(32.24) |
-
5977
3471 |
| Total |
5918 |
3530 |
9448 |
Watching
TV:
No
Yes |
-
2844(56.03)
3072(70.27) |
-
2232(43.97)
1300(29.73) |
-
5076
4372 |
| Total |
5916 |
3532 |
9448 |
Notes: Percentage of the women
within brackets.
| Table
4. Contraceptive use and Mass media from BDHS 1999-2000 |
| Mass
Media |
Use Contraception |
| No |
Yes |
Total |
Listening
to radio:
No
Yes |
-
2731(45.69)
1466(42.24) |
-
3246(54.31)
2005(57.76) |
-
5977
3471 |
| Total |
4197 |
5251 |
9448 |
Watching
TV:
No
Yes |
-
2502(49.29)
1696(38.79) |
-
2574(50.71)
2676(61.21) |
-
5076
4372 |
| Total |
4198 |
5250 |
9448 |
Notes: Percentage of the women
within brackets.
Further investigation into such relationships
with some other socio-demographic variables taken into account
will be conducted in the next section. Descriptive statistics
of all the independent variables used are presented in Table
5. The average age of women in the sample is around 29 years.
The number of surviving male and female children was 1.24
and 1.21 respectively. The proportion educated is 29 percent
at the primary level, 24 percent at the secondary level and
only 6 percent at the higher level. In the case of employment
only 19 percent was employed. What is suggestive in the Table
is that in percentage terms mass media is more important than
formal schooling: ownership of radio (32 percent) as well
as access to radio listening (34 percent) is greater than
the proportion of those educated at primary school; and watching
TV (24 percent) is at the same level as for secondary schooling
although ownership is much less frequent in this case (10
percent). It is worth noting that those actually listening
to radio are a little more numerous than those who own radio
sets, while the difference is much larger for TV. This suggests
that mass media can serve as an informal medium of education
for the un- or less educated in rural, disadvantaged situations.
Moreover, membership of GO/NGOs is 24 percent. 39 percent
and 29 percent of women are respectively able to discuss family
planning methods with their husband and to go to a shopping
center after marriage. 36 percent are reported to have electricity
connection in their house. In the sample, 13 percent of women
are non-Muslim, 39 were in Rajshahi-Khulna divisions and 28
percent in Chittagong-Sylhet divisions.
National averages like these often mask some important disparities
between urban and rural societies. There are some noticeable
urban-rural differences. Urban women are better educated than
rural women. While access to radio does not greatly vary between
urban and rural areas, access to TV is substantially better
in urban than in rural areas. However, it is interesting to
note that the opposite is true for membership of GO/NGOs:
rural women are much more likely to be a member of one of
such organizations than urban women.
| Table
5. Descriptive Statistics of the Independent Variables |
| Variables |
Whole Nation |
Urban |
Rural |
| Mean |
St.dev. |
Mean |
St.dev. |
Mean |
St.dev. |
| Age |
29.05 |
9.022 |
29.37 |
8.615 |
28.91 |
9.186 |
| Age square |
925.07 |
557.94 |
936.97 |
534.93 |
920.00 |
567.40 |
| Number
of boys |
1.24 |
1.13 |
1.24 |
1.12 |
1.24 |
1.136 |
| Number
of girls |
1.21 |
1.21 |
1.21 |
1.23 |
1.23 |
1.223 |
Education:
Primary
Secondary
Higher |
-
0.29
0.24
0.06 |
-
0.454
0.428
0.231 |
-
0.25
0.32
0.14 |
-
0.433
0.466
0.342 |
-
0.31
0.21
0.02 |
-
0.461
0.406
0.151 |
| Employed |
0.19 |
0.392 |
0.19 |
0.396 |
0.19 |
0.390 |
|
Mass Media:
Listening to
radio
Radio ownership
Watching TV
TV ownership
|
-
0.34
0.32
0.24
0.19 |
-
0.472
0.481
0.426
0.40 |
-
0.34
0.33
0.49
0.24 |
-
0.474
0.472
0.500
0.431 |
-
0.33
0.30
0.13
0.11 |
-
0.470
0.451
0.335
0.375 |
| Member
of GO/NGOs |
0.24 |
0.473 |
0.17 |
0.404 |
0.28 |
0.498 |
| Currently
pregnant |
0.08 |
0.266 |
0.06 |
0.234 |
0.08 |
0.277 |
| Can discuss
FPM with husband |
0.39 |
0.487 |
0.52 |
0.500 |
0.39 |
0.487 |
| After
marriage can go shopping center |
0.29 |
0.455 |
0.32 |
0.466 |
0.20 |
0.397 |
| Electricity |
0.36 |
0.479 |
0.46 |
0.498 |
0.33 |
0.471 |
| Non-Muslim |
0.13 |
0.336 |
0.14 |
0.349 |
0.13 |
0.33 |
| Rajshahi-Khulna |
0.38 |
0.490 |
0.33 |
0.469 |
0.40 |
0.49 |
| Chittagong-Sylhet |
0.28 |
0.451 |
0.28 |
0.45 |
0.29 |
0.451 |
| No. of
observations |
9450 |
2820 |
6630 |
Given the descriptive statistics of the independent/explanatory
variables above, which are likely to affect women's fertility
decision (whether they want another child or not) and contraceptive
use among the married women, logistic regression analysis
may be conducted in the next section.
3 Determinants of Fertility and
Family Planning Method
When conducting logistic regression analysis, it is important
to pay due attention to urban-rural differences in the relationships
between the dependent and independent variables. Thus three
runs are tried for the set of dependent variables: first for
the whole sample of married women, the second for the urban
and the third for the rural sub-samples. Tables 4 and 5 show
the logistic regression estimates of odds ratios for the effects
of selected background demographic and socio-economic characteristics
of married women of reproductive age on fertility and on current
use of family planning methods during the reference period
respectively. The results are in the expected direction for
most variables, so odds ratios are shown in place of regression
coefficients for the easy interpretation of results.
The results in Tables 6 and 7 show,
as expected, that women who do not want an additional child,
or who use contraceptive methods, increase significantly with
age. This effect is statistically significant for both sub-samples
(but age squared does not prove to be significant in either
case). Also apparent is that currently pregnant women are
likely not to want more children, and that women with male
children are less likely to want any more children, which
is a reflection of deep-rooted son preference in Bangladeshi
society, both urban and rural.
| Table
6. Determinants of fertility preference: logistic
regression estimates of odds ratios (OR=exp(B)) of characteristics
of married women of reproductive age: BDHS 1999-2000. |
| Independent
Variables |
Model
1
(National) |
Model
2
(Urban) |
Model
3
(Rural) |
Age
Age square |
0.96***
1.01 |
0.97***
0.99 |
0.94**
1.01 |
| Number
of boys |
0.34** |
0.30** |
0.35*** |
| Number
of girls |
1.04*** |
1.06**** |
1.08** |
| Education |
|
|
|
| No
education r |
1.00 |
1.00 |
1.00 |
| Primary |
0.89** |
0.87 |
0.90*** |
Secondary
Higher |
0.90***
0.83*** |
0.91***
0.84*** |
0.90**
0.91 |
| Employment
status |
|
|
|
| Employed
(Housewife r) |
0.68* |
0.59* |
0.72** |
Mass
media
Listening to
radio (No r)
Radio ownership |
0.77
0.92 |
0.86
0.95 |
0.73**
0.87*** |
Watching
TV (No r)
TV ownership |
0.81**
0.89** |
0.76***
0.93*** |
0.73***
0.98 |
Members
of GOs and NGOs
Yes (No r) |
0.78* |
0.81 |
0.61* |
Currently
pregnant
Yes (No r) |
0.88*** |
0.87*** |
0.94**** |
Can
discuss FP with husband
Yes (No r) |
0.78** |
0.70** |
0.78** |
| After
marriage can go shopping center Yes (No r) |
0.90*** |
0.90*** |
0.86*** |
Has
electricity in household
Yes (No r)
Religion
Non-Muslim(Muslim r) |
0.98****
0.80** |
0.88
0.78*** |
0.97***
0.85*** |
| Area |
|
|
|
| Urban
(Rural r) |
0.91*** |
- |
- |
| Division |
|
|
|
| Rajshahi
– Khulna (Others r) |
0.96*** |
0.90**** |
0.94** |
| Chittagong
– Sylhet |
1.19** |
1.13*** |
1.32* |
| Constant |
1.53** |
0.65** |
2.44* |
| -
2Log likelihood |
10186.66 |
2968.03 |
7176.97 |
| Number
of observation |
9450 |
2820 |
6630 |
| df |
21 |
20 |
20 |
Note: "r " reference
category. '*' Significant at p < 0.001; '**' Significant
at p <0.01; '***' Significant at p < 0.05 and '****'
Significant at p < 0.10; Others = Dhaka and Barisal
| Table
7. Determinants of Contraceptive use: logistic regression
estimates of odds ratios (OR=exp(B)) of characteristics
of married women of reproductive age: BDHS 1999-2000. |
| Independent
Variables |
Model
1
(National) |
Model
2
(Urban) |
Model
3
(Rural) |
Age
Age square |
1.03
1.01 |
1.07
0.99 |
1.02
1.01 |
| Number
of boys |
1.41* |
1.47* |
1.40* |
| Number
of girls |
0.95*** |
0.89*** |
0.81** |
| Education |
|
|
|
| No education
r |
1.00 |
1.00 |
1.00 |
| Primary |
1.21* |
1.24 |
1.17** |
Secondary
Higher |
1.38*
1.98* |
1.37**
1.63** |
1.23**
1.82** |
| Employment
status |
|
|
|
| Employed
(Housewife r) |
1.47* |
1.09*** |
1.81* |
Mass
media
Listening to radio (No r)
Radio ownership |
1.20
1.05 |
1.27
1.07 |
1.25**
1.10** |
Watching
TV (No r)
TV ownership |
1.20**
1.17** |
1.59**
1.24** |
1.18**
1.16 |
Members
of GOs and NGOs
Yes (No r) |
1.41* |
1.01 |
1.45* |
Currently
pregnant
Yes (No r) |
0.46* |
0.50 |
0.58* |
| Can
discuss FP with husbandYes (No r) |
1.49** |
2.21** |
1.12*** |
| After
marriage can go shopping center Yes (No r) |
1.47* |
1.20*** |
1.47* |
Has
electricity in household
Yes (No r)
Religion
Non-Muslim(Muslim r) |
1.12****
1.15*** |
1.11
1.27*** |
1.09***
1.23*** |
| Area |
|
|
|
| Urban
(Rural r) |
1.61* |
- |
- |
| Division |
|
|
|
| Rajshahi–Khulna
(Others r) |
1.12*** |
1.13 |
1.12*** |
| Chittagong
– Sylhet |
0.43* |
0.87*** |
0.35* |
| Constant |
2.16* |
1.87*** |
2.32** |
| - 2Log
likelihood |
8128.92 |
2090.18 |
5939.49 |
| Number
of observation |
9450 |
2820 |
6630 |
| df |
21 |
20 |
20 |
Note: "r " reference
category. '*' Significant at p < 0.001; '**' Significant
at p <0.01; '***' Significant at p < 0.05 and '****'
Significant at p < 0.10; Others = Dhaka and Barisal.
Table 6 shows that demand for any
more children declines among the educated than the un-educated,
working women than housewives, TV watching women than non-watching
women, and members of GO/NGOs than non-members. Two indicators
of women's "autonomy" have a similar impact on fertility
preference. The probability for women who can discuss family
planning methods (FPM) with their husband to want an additional
child is longer than otherwise, so is that for those who can
go to a shopping center alone. All these effects are estimates
made by controlling for electricity connection (for a detailed
study on rural electrification, see appendix C.2), religion,
urban/rural residence and administrative division. Table 7
tells us a similar story with respect to contraceptive use.
The probability for women to use contraceptives rises with
education. The educational level of the women displayed significant
positive relationships with women's odds of utilizing a family
planning method. Relative to women with no education, women
with primary, secondary and higher education show significantly
greater odds of utilizing family planning methods. Again,
women who have access to TV show a higher probability of using
contraceptive methods.
Moreover, a close look at the results
in columns 2 and 3 (Tables 6 and 7) reveals interesting urban-rural
differences, especially in relation to education, mass media
and GO/NGO membership. In urban areas, both formal education
(secondary and higher education) and TV watching show significant
effects on fertility and contraceptive use, while radio listening
and GO/NGO membership do not. In rural areas, on the other
hand, formal education (primary level upwards, but except
higher education on fertility), mass media (both radio listening
and TV watching) and GO/NGO memberships exhibit significant
effects on fertility and contraceptive use. Given low but
positive correlation coefficients between primary schooling,
on the one hand, and radio listening and NGO membership, on
the other (but not with TV watching; see appendix table C.3),
perhaps, primary education in rural areas has a complementary
effect with these factors, suggesting that informal education
(via mass media and NGOs) has a significant effect on fertility
and contraceptive use especially among the rural less educated
women. As stated in appendix C.1, some large NGOs run a variety
of informal education programs providing education to members'
children who are not able to avail themselves of State-run
education.
One may argue that in a developing country like Bangladesh
TV is a luxury and radio an everyday luxury, so that the coefficients
of these variables tend to absorb an income or wealth effect.
Since, fortunately, the data allow us to separate radio listening
from its ownership and TV watching from its ownership, we
can check if there are strong correlations between the two.
And it turns out that there is no multicollinearity problem
for both radio and TV. Thus, both are included in the regression
equations reported in Tables 6 and 7; and the Tables indicate
that the effect of radio listening in rural areas is statistically
significant even when the influence of ownership as well as
electricity connection is controlled for. The same can be
said for TV watching in urban areas. We also checked the results
by excluding electricity from the model. But the results (not
shown) were almost the same with slightly different sizes
of coefficient of the TV ownership dummy. Indeed, in rural
Bangladesh most people listen to radio and watch TV in their
neighbour's house, typically village leader's or ward commissioner's
house. There is a study by Kincaid, et al (2000) on health
and family planning in relation to a drama called "Shabuj
Sathi'2 of Bangladesh television. They find that currently
married women (4,566) who watched the drama were 18.9 percent.
57.9 percent of them did not have their own television set,
and the majority of them watched it at a neighbours' house.
52.8 percent of those who watched the drama are found to have
used a modern contraceptive method compared with 38.4 percent
who did not watch the drama. On radio and TV advertisements
of family planning products are frequently broadcasted, with
a slogan like "small family is happy family" (Soto
Paribar Sukhi Paribar) in a gap of the main program, which
must influence women to adopt family planning services. This
kind of program can increase awareness among women and encourage
them to adopt a small family norm in an informal way. Thus,
the impact of mass media as a medium of informal education
is independent of the income/wealth effect.
 |
SUMMARY AND CONCLUSION
Bangladesh is one of the best examples
of a developing country with a strong family planning program
effort, which brought about a significant fertility decline
even when social and economic development was sluggish. However,
this study has highlighted the significance of both formal
and informal education as factors influencing contraceptive
use and hence, fertility decline. Three logistic regression
models have been conducted. The results of the analysis shows
that women's educational attainment and exposure to mass media
are indeed significantly identified as contributing factors
to the spread of contraceptive use and fertility decline.
Relatively speaking for rural, less educated women, it seems
that exposure to mass media is somewhat more important than
educational attainment. Among other factors, women's membership
of GO/NGOs and women's decision making position in the household
(discussion of family planning issues with husband and ability
to go to shopping center alone) are also noteworthy.
Therefore, this study indicates that improvements in both
formal and informal education, together with family planning
services should receive priorities in policies for further
reduction in fertility. Family planning services are measures
to help women avoid unintended pregnancies and the abortions
that sometimes follow them (Rahman and others, 2001), so are
formal schooling and informal education via mass media. We
find that there is a considerable amount of fertility that
is in excess of desired fertility. Excess fertility is higher
among women with no or little education. Informal education
can play a crucial, complementary role, especially among the
women with no or little education, in reducing the gap between
desired and actual fertility because contraceptive use tends
to increase among women with little or no formal education.
GO/NGOs can also play an important role in providing opportunities
for women to gain knowledge, confidence and skills to find
better employment and also to promote reproductive health,
including contraceptive methods. Working women are more likely
to use contraceptives and have fewer children compared to
non-working women (CPS 1991), so GO/NGO activities should
be further encouraged across villages.
In Bangladesh, as noted earlier,
the pace of fertility decline slowed down recently. Since
the early 1990s TFR remained almost constant. Therefore, policy
makers should carefully design family planning strategies
by paying more attention to the roles that formal and informal
education as well as GO/NGOs can play in order to reduce the
gap between actual and desired numbers of children among less
privileged families.
-------------------------
Notes: a Government Organizations
(GOs), Bangladesh Rural development Board (BRDB) and Non-Government
Organizations (NGOs) like Bangladesh Rural Advancement Committee
(BRAC), Grameen Bank (GB), etc. their common activities are
micro-credit and all other activities (such as training, awareness
building, education, health) are surrounded by micro-credit
activities.
1 Periodic abstinence,
withdrawal etc. are traditional methods. Also see Alan, et
al. (1997).
2 Kincaid, et. al (2000) studied on Shabuj Sathi
(which in Bangla means "ever-green friend" ) on
television drama. The objective of the drama was to increase
health related knowledge and healthy behavior of men and women.
The main health topics featured in the drama are family planning,
safe motherhood, childhood diseases and immunization, HIV/AIDS
and nutrition. They collected data through face-to-face interviews
of 10,400 men and women aged 15-49 and the analysis of the
TV drama was conducted on the sub sample of all 4,566 currently
married women. Overall health knowledge was significantly
related to watching the drama, having the strongest relationship
with knowledge of HIV/AIDS, followed by knowledge of nutrition
and knowledge of childhood diseases. Married women who saw
the drama were more likely to visit a health or family planning
service facility than women who did not, and more likely to
use a modern contraceptive method.
Acknowledgement: I would acknowledge
the contribution of Prof. Osamu Saito for his help and advice.
I benefited from discussion at Professor Saito's seminar in
the Institute of Economic Research (IER), Hitotsubashi University.
I am grateful to Professor Osamu Saito for reading carefully
this paper and making his valuable comments that improved
essentially the content of the paper.
REFERENCES
Barkat, A., Khan. S. H., Rahman,
M., Zaman, S., 2002, Economic and Social Impact Evaluation
study of the Rural Electrification Program in Bangladesh.
Human Development Research Centre, Dhaka, NRECA International
Ltd.
Barkat, A. and Murtaza, M., M., 2003,
Adolescent and Youth Reproductive Health In Bangladesh. Status,
Issues, Policies, and Programs, Dhaka, Bangladesh.
Caldwell, J. C., 1982, Theory of
Fertility Decline. London: Academic Press.
Caldwell, J. C., 1986, "Routes
to Low Mortality in Poor Countries." Population and Development
Review 12: 171-220.
Cleland, J., J. F. Philips, S. Amin and G. M. Kamal., 1994,
The Determinants of reproductive Change in Bangladesh. Washington
DC: World Bank.
Chaudhury, H. R., 1978, Female Status and Fertility Behaviour
in a Metropolitan Urban Area of Bangladesh, Population Stodies,
Vol. 32, No. 2, 262-273.
Coombs, P. H. and Ahmed, M. (1974),
Attacking Rural Poverty. How non-formal education can help,
Baltimore: John Hopkins University Press.
Chaudhary, S. S. (1992), "Television
in Distance Education: The Indian Scene." In Indian Journal
of Open Learning 1(1): 23-31.
Erica, F., and Ambrus, A.,(2006),
Early Marriage and Female Schooling in Bangladesh; working
Paper, Harvard University.
Freedman, R. (1995), Asia's recent
fertility decline and prospects for future demographic change.
Asia-Pacific Population Research Reports No. 1. Hawaii: East-West
Center.
Goni, M. A. and Saito, O. (2008),
Fertility and Women's Employment in Bangladesh: A Time Series
Analysis.(In press). Journal of Demography India, Vol. 37(2).
Jejeebhoy, S. J. (1995), Women's education, autonomy and reproductive
behavior: experience from developing countries. Oxford: Clarendon
Press.
Jeffs, T. and Smith, M. K. (1996),
Informal Education. Conversation, democracy and learning,
Ticknall: Education Now
Khuda, B., S. Islam, R. Sultana,
Sirajee, S. A. and Laila, R. A. ( 1990), Women's Savings Groups
and Contraceptive Behaviour among Rural Bangladeshi Women.
Dhaka University Research Corporation, Bangladesh
Khuda, B. and Barkat, A. (1992),
Female Education Scholarship Program - An Impact Study. Report
prepared for the World Bank, Dhaka. Dhaka University Research
Corporation, Bangladesh.
Khuda, B., Nikhil, C. R. and Rahman,
M. M. D. (2000), Family planning and Fertility in Bangladesh.
Asia-Pacific Population Journal, Vol. 15, No.
Kincaid, L.D., Whitney, E. E. and Shajahan, M. (2000), Impact
of the Shabuj Sathi Television Drama of Bangladesh: Key findings,
Center for Communication Programs. Johns Hopkins University.
Larson, Ann and Mitra, S. N. (1992), Family Planning in Bangladesh:
An Unlikely Success Story, International Family Planning Perspectives
18(4), 123-144.
Lucas, R. E. (2003), "The Industrial
Revolution Past and Future." The Region. Federal Reserve
Bank of Minneapolis. Online. Available: http://www.minneapolisfed.org/pubs/region/04-05/essay.cfm.
2003.
Mitra and Associates (1991), Bangladesh Contraceptive Prevalence
Survey (CPS), Final Reports, Dhaka, Bangladesh.
___________ (2003), Bangladesh Maternal
Health Services and Maternal Mortality Survey 2001. NIPORT,
Dhaka, Bangladesh, ORC Macro, Calverton and Johns Hopkins
University, Baltimore, Maryland, USA.
Mitra, S. N., Al-Sabir, A., Tulsi,
S., and Kumar, S. (2001), Bangladesh Demographic and Health
Survey, 1999-2000. Calverton, Maryland and Dhaka, Bangladesh:
National Institute of Population Research and Training (NIPORT),
Mitra and Associates, and Macro International Inc.
Mitra, S. N., Charles, L., and Islam,
S. (1993), Bangladesh Contraceptive prevalence Survey-1991:
Final report. Dhaka: Mitra and Associates.
Martin, T. C. and Juarez, F. (1995),
The Impact of Women's Education on Fertility In Latin America:
Searching for Explanations, International Family Planning
Perspective, Vol. 21, No. 2.
Murthi, M., A. C. Guio and Dre`ze,
J. (1995), "Mortality, fertility and gender biase in
India: A district level analysis," Population and Development
Review 21: 745-782.
Nicholas P. (2001), Mass Media Promotion
of Family Planning and the Use of Modern Contraception in
Ghana. Paper presented to the 24-th IUSSP general conference
at Salvador, Bahia, Brazil, 18th - 24th August.
Rahman, M., Julie, D. and Razzaque,
A. (2001), Do better family planning services reduce abortion
in Bangladesh. The Lancet (London), vol. 358, no. 9287, pp.
1051-56.
Appendix C.1
Most of the NGOs are involved in a variety of activities:
vocational training for skill development, micro-credit, adolescent
family life education (AFLE, see below), sex education, reproductive
health services, and legal assistance in cases of violence
and abuse against women and implemented both school and out
of school (Barkat and Murtaza, 2003). The Government has recognized
this contribution of NGOs and there is significant collaboration
between them.
Adolescent Family Life Education (AFLE) Curriculum
Adolescence: The period of adolescence; physical and mental
changes during adolescence of boys and girls; importance of
the adolescent period.
Reproduction and menstruation: Reproductive health; male and
female reproductive organs; process of ovulation and menstruation;
process of fertilization; menstrual hygiene; nutrition during
menstruation.
Marriage and pregnancy: Age of marriage; age of child bearing;
danger of early marriage; normal pregnancy; antenatal, natal,
and postnatal care; signs of complications during pregnancy
and delivery.
STIs and HIV/AIDS: Common Sexually Transmitted Infections
(STIs, including a discussion of personal hygiene); common
STIs; signs and symptoms of STIs; risks and transmission;
complications of STIs; prevention of STIs.
Family planning and birth control: Why family planning is
needed; types of contraceptives; advantages and disadvantages
of contraceptives; how to use contraceptives; condoms and
their advantages.
Smoking/substance abuse: Smoking-related illness; reasons
for substance abuse; signs and symptoms of substance abuse;
health hazards resulting from substance abuse.
Gender issues: Inequality between males and females; respect
between sexes; roles of males and females in reproduction.
It is difficult to measure the impact of these kinds of adolescent
reproductive health information and/or services NGOs are providing
at the community level. They have been responsible in great
part for increasing opportunities for women through non-formal
and formal education, through delivery of reproductive health
services (often on the doorstep) and by providing credit programs
for women. According to their stated objectives, the majority
of NGOs target the poor and disadvantaged.
Appendix C.2: Electricity and Fertility Decline:
The social and economic impact of rural electrification program
in Bangladesh is examined in Barkat et al. (2002). Their study
is based on two villages with 14,000 respondents and 2,491
households, of which 1,380 are electrified and 1,111 non-electrified.
They show its impact on economic aspects including income,
employment, and poverty reduction; social and cultural aspects
including education, health and family planning; demographic
aspects including birth and death rates. Their main findings
are:
1. The overall literacy rates and
the quality of education (measured by expenditure of education,
dropout rate and time spent for study at night by student)
are much improved in the electrified households than in non-electrified
households. This quality improvement in the electrified households
works through many channels: more time available for study
after sunset, the quality of that time due to sufficient light
and fan for comfort, strengthening the knowledge-base due
to access to TV (which in turn increases the appetite for
learning), parents (especially mothers/other elder female
members) devote more time in assisting children's education
compared to before electricity etc. In terms of knowledge
about the crucial public health issues, respondents in the
electrified households are reported to become more aware than
those in the non-electrified households. 56% of them consider
TV as the main source of knowledge (the corresponding figure
for TV is 28% in the non-electrified households in electrified
villages, and 17% in the non-electrified villages). TV played
an immense role as the major source of such enhanced knowledge
on health issues. The authors also note that income and employment
opportunities are higher than non-electrified households due
to the fact that in the electrified households women can spend
more time for their household work such as sowing, harvesting,
drying, etc. after returning from outside activities.
2.
All those factors are related to fertility transition. The
reported mean number of children ever born to women is 4.3
in both electrified households and households in the non-electrified
villages. However, the mean number of deaths is relatively
lower in the electrified households (50 ever-reported deaths
per 100 households) than in the non-electrified villages (62
deaths) and in the non-electrified households in the electrified
villages (59 deaths). In the electrified households, not only
the mean number of the ever-died is relatively low, but also
both the incidences of death and severity of death (measured
in terms of death of 3 or more members) are less pronounced.
As a result, the demographic consequences are better: the
proportion of those still surviving to the ever born is higher
in the electrified households (88.4%) than in the households
of non-electrified villages (85.8%). The average household
size of the electrified households is slightly higher (6 persons
per household) than in the non-electrified households (5.4
and 5.7 respectively for those in the electrified and non-electrified
villages). It is likely that this slightly high average household
size of the electrified household is due to less poverty-induced
out-migration of family members, higher incidence of joint-family
structure, and more job opportunities in the electrified areas.
The dependency ratio is lowest (0.64) in the electrified households,
highest (0.73) in the non-electrified households of electrified
villages and in-between (0.68) in the households of non-electrified
villages. Thus, compared to the non-electrified, the same
number of active population supports a smaller number of dependent
populations in the electrified households. Estimates show
that availability of electricity in the household contributes
to 15.7% of the reduction in TFR (based on comparison of TFRs
in two extreme samples), but the contribution of the availability
of electricity in the village but not in the household is
only 2%. The TFR of the poor in the electrified (2.7) was
26% less than that of the poor in the non-electrified villages,
and it was even 7.5% less than that of the rich in the non-electrified
villages (2.9). Thus, electricity not only contributes to
overall TFR decline, but also to the significant reduction
in TFR among the poor. Undoubtedly the refinement of these
estimates are needed with respect to the entire demographics
of population and reproductive health programs. It should
also be noted that in addition to electricity, there exist
many other determinants of fertility (other than the family
planning program per se) such as income, employment, education
and age at marriage.
Appendix Table C.3: Pearson
Correlation Coefficient between education level and NGOs members
and mass media
| Education
level |
With
NGOs members |
With
Radio listening |
With
TV watching |
| Primary |
0.05* |
0.02* |
-0.04** |
| Secondary |
0.03* |
0.05** |
0.11** |
| Higher |
0.45** |
0.44** |
0.18** |
"**" Correlation is significant
at the 0.01 level, "*" Correlation is significant
at the 0.05 level, (2-tailed)
|
 |