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August 2008 - Volume 2,
Issue 4
Demand for
Child in Rajshahi City, Bangladesh: A Multivariate Analysis
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Authors: Shamima Akter1, Md. Mizanur Rahman2, Mahmudul
Hasan3 and Mst. Papia Sultana4
1. Shamima Akter, M. Phil Fellow
Department of Population Science and Human Resource
Development,
University of Rajshahi, Bangladesh
E-mail: samimarub@yahoo.com
2. Md. Mizanur Rahman, Lecturer
Department of Population Science and Human Resource
Development
University of Rajshahi, Bangladesh
E-mail: mizanur_rub@yahoo.com
3. Mahmudul Hasan, Assistant Professor
Department of Population Science and Human Resource
Development,
University of Rajshahi , Bangladesh
E-mail: mahmud_ru@hotmail.com
4. Mst. Papia Sultana2, Lecturer
Department of Statistics
University of Rajshahi, Bangladesh
E-mail: papiasul75@yahoo.com
Correspondance:
Shamima Akter
Department of Population Science and Human Resource
Development
University of Rajshahi,
Rajshahi-6205 Bangladesh
E-mail: samimarub@yahoo.com
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| ABSTRACT
The main aim of the present
study is to estimate the factors associated with demand
of child in Rajshahi City of Bangladesh. In this regard
the necessary data was collected in June 2004 under
the project of UNFPA entitled "Strengthening the
Department of Population Science and Human Resource
Development", University of Rajshahi, Bangladesh.
The numbers of reproductive aged couples who have at
least one child were selected for interview during the
study. By using some statistical tools such as contingency
analysis with -
test and logistic regression model shows that socio-demographic
factors significantly associated with the demand of
child. The result of the study open that after controlling
other factors, the socio-demographic characteristics
that statistically and significantly affect the probability
of demand of child in the study location like current
age of respondent, age at marriage, respondent education,
husband occupation, number of male child, number of
female child and visit of health worker. Here current
age and numbers of male and female children are statistically
highly significantly influencing the demand of children.
Key Words and Phrases:
Demand for Child, Chi-square, Cross-tabulation, Logistic
regression model, Odds ratios.
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INTRODUCTION
In a developing country like
Bangladesh it is almost compulsory that every boys and girls
must marry and parent hood is a common feature immediately
after marriage. Bachelor hood and those married couple who
cannot procreate child are socially disapproved. It is believed
that those who do not have any children must have some sort
of physical defect, and they treat as sterile couple. Thus
social status is also an important reason for demand of children
(A. Bhende and Kanitkar, 1997). Demand for a child is very
much related to age, and it is also somewhat linked with health,
the no. of times she has been giving birth and so on. Also
in cases of dead baby, how many it can be, the demand cannot
be stopped. Such many reasons may influence the demand (Hans
Raj, 2000).
Education may affect fertility through
rising age at marriage, giving alternative source of new normative
orientations and expansion of vision, increasing women's knowledge
and use of birth control as well as providing better opportunity
for labour force participation (Ryder, 1967; Janowitz, 1976).
Husband's education may have a significant effect on the children
ever born to ever married women. Because in our society almost
everything depends on the opinion of a husband. Now a days
higher educated person are giving importance to the educated
female for marriage, as a result a balance is prevailing upon
the families, which play a negative role in fertility (Ali
M. 2003). In many studies it is observed that education especially
secondary or higher level is important for reducing fertility,
infant and child mortality, improving the human capital of
the population (S. K. Sarkar, 2004, P 146). Also education
along with improved family planning services can help women
avoid unintended pregnancies and the abortions that sometimes
follow them. Therefore, social economic or other changes drastically
affect the value or cost of children and reduce fertility
rates within education groups.
In developing countries like Bangladesh, the husband's occupation
is closely related to fertility. According to Prof. Donald
J Bogu's view fertility is influenced by the occupation of
the head of the family. The people with good education are
likely to check fertility, where as those with manual occupation
are likely to have more children. He has related this to income
also. According to him where income is low, fertility goes
up, but income is not very high, then the fertility is the
lowest, but when income considerably increases with that fertility
again goes up. According to opinion it is wrong to think that
when the family is riches the number of children will be less
(Bogue, 1969).
Studies concerning the impact of
labour force participation on fertility suggest that working
women have lower fertility than their non-working counterparts
(Devanzo, 1972; UN, 1973). It also argued that labour force
participation would have a decreasing effect on fertility
only if it is incompatible with child bearing. The direction
is of causality between labour force participation and fertility
is not certain, because labour force participation may be
a consequence as well as a cause of lower fertility.
Bangladesh has undergone a remarkable
demographic transition over the last two decades. The total
fertility rate has declined from about 6.3 in 1975 to 3.3
in 1999-2000 (BDHS, 1999-2000). Striking change have been
observed were asked how many children they would ideally like
to have, the response was an average 4.1 children (Huq and
Cleand,1990). The desire for additional children declined
noticeably over the past few decades. For example the percentage
of women with two children who want no more children has risen
from only 48 percent in 1991 to 66 percent in 1999-2000. Also
in 1991, 45% of married women with two children wanted to
have another child in future in the 1999-2000 BDHS surveys
(Mitra et al 2001). Data from the BDHS indicate that after
almost a decade long stagnation, the Bangladesh fertility
rate has declined slightly to 3.0 per women (BDHS, 2004).
After marriage every couple is to
desire have children. It is an inner feeling and source of
satisfaction to every married person to have children. Thus
in every society it is very much essential to find out demand
of children to couple, which influence the whole family structure
on the one hand and the society on the other. Therefore the
main objective in this paper is to focus the background characteristics
of the respondent and also to isolate the factors which are
influencing the demand for child.
CONCEPT OF DESIRE AND DEMAND FOR CHILDREN
When parents expect the "baby"
with their family decision as well as with the view of their
surrounding economic and social constraints is termed as demand
for a child (Schultz, 1972).When parents expect to have their
own children according to their mental incitement and care
for them emotionally ignoring the economic point of view of
bearing and rearing them and without equating cost and benefits
involved with children may be termed as desire for children.
DATA AND ANALYTICAL METHODS
The data has been collected from
a field survey conducted in the urban area of Rajshahi City.
Three wards of Rajshahi City were selected as a representative
part and collected information from 2250 women by preparing
a pre-scheduled questionnaire during the month of June 2004
and conducted through in-depth interviews. Respondents in
the study are reproductive aged couples. The Present Study
needs those respondents who had at least one child. Again
this study was concentrated only on the urban respondents.
Thus we got 2064 respondent who were related to this characteristic
through purposive sampling method.
Analytical Methodology
In our study we have mainly used the tabular form of data.
To see the association between demand for a child and other
cofactors we used the most common contingency analysis with
- test procedure. We have also used the logistic regression
model to identify the impact of some most influential variables
on demand for a child.
-
Test
- test is mainly used to test the hypothesis which specifics
the nature of one or more distribution. We know the mathematical
form of the distribution; hypothesis regarding the sample
that has been drowning from the distribution is tested by
- statistic. For testing hypothesis, we used to compare observed
set frequencies with a corresponding set of frequencies that
are expected under null hypothesis. The test statistic
is defined as,

Where
Oi= observed frequencies, i = 1, 2, 3 .............,
k
Ei= expected frequencies, i = 1, 2, 3 .............,
k
n =
which is distributed as
with (k-p) degree of freedom, where p is the number of independent
restrictions imposed for the calculation of the set expected
frequencies.
Logistic Regression Model
An interesting method that does not
require any distributional assumptions concerning explanatory
variables is Cox's linear logistic regression model (1970).
That logistic regression model can be used not only to identify
risk factors but also to predict the probability of success.
The general logistic model express a qualitative dependent
variable as a function of several independent variables, both
qualitative and quantitative (Fox, 1984). The logistic regression
model allows a categorical variable (dichotomous or polytomous
variable) as dependent variable. Let Y is a dichotomous
dependent variable, which takes values 0 and 1. i.e.

Also let there is a collection of
k independent variables, which will be denoted by the vector,
and be a (k+1) 1 vector of unknown parameters.
For simplification, we can use the quantity
the probability that the event occurs conditional on the value
of X. Hence
and

Hence

The central part of logistic regression in a transformation
of is known as logit transformation, which is defined in terms
of , is as follows:

which is the logit of the multiple logistic regression models.
RESULTS AND DISCUSSION
There are several factors which are
responsible in determining demand for a child to couple. Some
basic characteristics of the study population that are treated
as background variables in our study have been incorporated
in Table 1.
| Table 1. Percent
Distribution of the Background Variables |
| Characteristics |
Frequency |
Percentage
(%) |
Respondent
age
<25 years
25-29
30-34
35-39
40+ |
562
471
450
304
277 |
27.2
22.8
21.8
14.7
13.4 |
Respondent
Age at Marriage
Less 15 years
15-19
20+ |
1141
776
147 |
55.3
37.6
7.1 |
Religion
Muslim
Non-Muslim |
2028
36 |
98.3
1.7 |
Female
education
Illiterate
Primary
Secondary
Higher |
411
542
816
< 295 |
199
26.3
39.5
14.3 |
Husband
education
Illiterate
Primary
Secondary
Higher |
305
400
743
616 |
14.8
19.4
36.0
29.8 |
Female
occupation
Household
Service
others |
1928
97
39 |
93.4
4.7
1.9 |
Husband
occupation
Service
Farmer
others |
992
501
571 |
48.1
24.3
27.7 |
No.
of Male Child
1
2
3
4+ |
394
663
900
107 |
19.1
32.1
43.6
5.2 |
No.
of Female Child
1
2
3
4+
Missing |
477
632
753
20
1 |
23.1
30.6
36.5
9.7
0.0 |
Visit
of Health Worker
No visit
Irregular
Regular |
408
582
1074 |
282
19.8
52.0 |
Watch
T.V
No
Yes |
466
1598 |
22.6
77.4 |
Age
is an important characteristic of a respondent. Demand for
a child is very much related with age and affected by the
age variation of ever-married women. From Table 1 we observe
that in our study area the highest number of respondent is
aged less than 25 years, which is 27.2% and the lowest for
ages 40 and above which is 13.4%.

We observed that age of the respondent
is highly significantly associated with demand of child. Demand
of child is highest position in age group less 25, medium
position in age group 25-30 years and it is rapidly decreasing
in the age groups 30-40 years and 35-40 years. It also shows
that top lowest demand of child in the age group 40 years
and above (Figure 1).
Age at the marriage is one of the
important factors in demography as it is directly related
to fertility in many societies. In Bangladesh the minimum
age at first marriage is 18 but in our study area early marriage
is most frequent. We observe that 55.3% women's first age
at marriage is less than 15 years, 37.6% women's age at first
marriage is between 15-20 years, and the most vulnerable sight
is that only 7.1% women's age at first marriage is above 20
years.
Fertility may be affected and influenced
by the preaching of religions. Those religions which do not
put any bar on the number of marriage and children are likely
to have more fertility than others. Because more the number
of wives normally, there are, more the children. Islam is
the predominant religion in Bangladesh as well as in our study
area. From Table 1 we see that in this area 98.3% are Muslims
and only 1.7% are non-Muslims.
Education is one of the most important
factors of fertility. From Table 1 it shows that, in this
area maximum respondent are with education level secondary
(39.5%), but incase of their husband maximum is higher educated
(29.8%). Females with education level illiterate, primary
and higher it is 19.9%, 26.3% and 14.3% respectively. Incase
of their husband the percentage for illiterate, primary and
secondary education level is 14.8%, 19.4%, 36.0% and 29.8%
respectively.
In many studies it is observed that demand for children is
higher among non-working or house wives as compared to working
women (S. K. Sarkar). From Table 1 it is observed that around
93.4% women are house keepers in this area, only 4.7% engaged
in service and another 1.9% engaged in other occupation.
It is observed that maximum husbands
of the respondent in this area are engaged in service (48.1%),
24.3% engaged in farming and 27.7% engaged in other category
(Table1).
Total number of living children as
well as number of male and female children of couples can
influence the demand for a child and their aspiration to have
another child.

From Table 1 it is observed that
19.1% have only one male child, and incase of two, three and
more than four children their percentage is 32.1%, 43.6% and
5.2%. In case of female children their percentage is 23.1,
30.6, 36.5 and 9.7 respectively. The Figure 2 shows that few
percent of the respondent have one child (both male and female),
top most percent of the respondent have three children and
lowest percent have four and more children. This means that
maximum respondent prefer two-three children, if they satisfy
getting according to their preference the demand of children
tremendously decreases.
In a less developed country like
Bangladesh, health workers are very important person for giving
advice and increase knowledge about new methods of health
as well as reproductive health. They visit every house and
make aware specially women and their babies health as well.
From table 1 it shows that in our study area 52% respondents'
house regularly visited by health worker, 19.8% irregularly
visited and 28.2% houses were out of visit by the health worker.
Access to mass media always plays
a vital role to make awareness and consciousness of women.
In Bangladesh television is a popular media, which has reached
in maximum house of both in rural and urban area. From table
1 we see that in our study area 77.4% respondent watches television
and 22.6% do not.
Chi-square Test
Pearson Chi-square test procedure
for testing significance among demand for children and socio-demographic
variables in Table 2 are as follows-
| Table 2. Chi-square
tests want more children with respect to Socio-demographic
variables |
| Variable |
Chi-square |
d.f |
Assymp.
sig |
| RA
* DC |
314.891 |
4 |
Significant |
| RM
* DC |
16.758 |
2 |
Significant |
| RG*
DC |
1.108 |
1 |
Insignificant |
| RE*
DC |
38.282 |
3 |
Significant |
| HE*
DC |
5.137 |
3 |
Insignificant |
| ROC*
DC |
2.396 |
2 |
Insignificant |
| HOC*
DC |
.285 |
2 |
Insignificant |
| MC*
DC |
229.085 |
3 |
Significant |
| FC*
DC |
100.115 |
3 |
Significant |
| HW*
DC |
27.686 |
2 |
Significant |
| WT*
DC |
0.006 |
1 |
Insignificant |
| RA=
Respondents’ age |
HOC=
Husbands’ occupation |
| RM=
Respondents’ age at marriage |
MC=
No. of male children |
| RG=
Religion |
FC=
No. of female children |
| RE=
Respondents’ education |
HW=
Visits of health worker |
| HE=
Husbands’ education |
WT
=Watch television |
| ROC=
Respondents’ occupation |
DC=
demand for child |
To see the association between demand
for child and various background variables like age, religion,
occupation, age at marriage, education, number of male and
female children of couple, visit of health worker and watches
television a well known procedure Pearson chi-square test
is used. From Table 2 it is found that current age of respondent,
age at marriage, education of respondent, number of male children,
number of female children and visit of health worker is highly
significant impact with the variable demand for children.
While the variables religion, education of husband, occupation
of respondent and her husband and watches television shows
insignificant result, that is they have no impact on demand
for child to couple.
Factors associated with demand
for a child: A Logistic Regression Analysis
Logistic regression analysis shows that the significant variables
are the respondents' current age, age at marriage, respondents'
level of education, husbands' occupation, number of living
male and female children and frequency of visits by health
workers. The remaining explanatory variables, namely religion,
husbands' education, respondents' occupation and watch television
do not seem to have significant independent effects on the
demand of child.
| Table 3.
Logistic Regression Estimates for The Effect of Soci-Demographic
Variables with Demand for Child as the Dependent Variable
Bangladesh, 2005 |
| Variable |
Coefficient |
Significance |
Odds
ratio |
Respondent
age
<25 years
25-29
30-34
35-39
40+ |
…
-1.204
-1.518
-1.779
-2.190 |
…
0.000
0.000
0.000
0.000 |
1.00
0.300
0.219
0.169
0.112 |
Respondent
Age at Marriage
Less 15 years
15-19
20+ |
…
0.194
0.465 |
…
0.143
0.063 |
1.00
1.214
1.592 |
Religion
Muslim
Non-Muslim |
…
-0.329 |
…
0.488 |
1.00
0.720 |
Female
education
Illiterate
Primary
Secondary
Higher |
…
0.162
0.397
0.237 |
…
0.446
0.070
0.394 |
1.00
1.176
1.487
1.267 |
Husband
education
Illiterate
Primary
Secondary
Higher |
…
0.298
0.016
-0.044 |
…
0.176
0.948
0.883 |
1.000
1.348
1.016
0.957 |
Female
occupation
Household
Service
others |
…
-0.182
-0.442 |
…
0.536
0.378 |
1.000
0.834
0.642 |
Husband
occupation
Service
Farmer
others |
…
-0.265
-0.255 |
…
0.164
0.078 |
1.000
0.767
0.775 |
No.
of Male Child
1
2
3
4+ |
…
-0.570
-1.531
-2.239 |
…
0.000
0.000
0.000 |
1.000
0.566
0.216
0.107 |
No.
of Female Child
1
2
3
4+
Missing |
…
-0.872
-0.749
0.310 |
…
0.000
0.000
0.141 |
1.000
0.418
0.473
1.363 |
Visit
of Health Worker
No visit
Irregular
Regular |
…
0.468
-0.260 |
…
0.005
0.061 |
1.000
1.597
0.771 |
Watch
T.V
No
Yes |
…
-0.019 |
…
0.906 |
1.000
0.981 |
| Constant |
1.144 |
0.001 |
3.139 |
* Significance at p<.01, ** Significance
at p<.05, *** Significance at p<.10
From Table 3 it shows that age of
the respondent is highly significantly related with demand
for children to couple. Considering age group <25 years
as a reference category we see that, demand for children is
less likely as their age increases. All the co-efficient calculated
for each age group is negative in sign. The result indicates
that the women of age group (25-29), (30-34), (35-39) &
40+ have (1-0.300)*100=70.0%, (1-0.219)*100=78.10%, (1-0.169)
=83.1% and (1-0.112)*100=88.80% lower risk to demand for additional
children as compared to age groups <25 years.
From Table 3 we observe that the regression coefficient of
females and their husband for different levels of education
are not statistically significant even except secondary level
education for the female and they have positive effect. It
is a general convention that demand for a child reduces as
level of education raises up (S K Sarkar, 2004). Data from
the world fertility surveys and the demographic and health
surveys in Bangladesh and worldwide confirm the positive effect
of education on reproductive behavior (Schultz, 1994; World
Bank, 1994).
Occupation both for females and their
husband plays an important role determining demand for a child.
From Table 3 we see that in our study area occupation of respondent
shows insignificant results but for their husband it shows
significant result. The regression co-efficient of husband
occupation shows that the risk of demand for children is 73.50%
and 74.50% lower for service and other category of occupation
as compared to the husband whose current occupation is farming
(Table-3).
From Table 3 we see that number of
male and female children of couple shows highly significant
result to wants more children that is demand for child is
very much related with these variables. Considering number
of male child for one as a reference category we see that
the risk is 43.40%, 78.40% and 89.30% lower for the couple
whose number of male children is 2, 3, & 4+ respectively.
On the other hand by assuming number of female child for one
as a reference category it shows that the risk for demand
of more child is 58.2% & 52.70% lower for those couple
whose number of present female children is 2 & 3. But
for the couple whose number of female children is 4 and above
the risk is 1.363 times higher. This may because; aspiration
of having a male child for a couple is a common scenario.
From Table 3 it is observed that
visit of health worker has significant impact on demand for
a child. Considering irregular visit of health worker as a
reference category we see that it is 1.59 times higher, where
health worker do not at all visit couple's house and it is
22.90% lower where health workers visited regularly.
CONCLUDING REMARKS
The
study of demand of children has received increasing attention
in developing countries because of its identifying capacity
of segment of population having high and low fertility. The
constitutional law of Bangladesh strictly prohibits early
marriage. However in our study area a large proportion of
the respondent is less than 25 years of age and most of them
get their first marriage before 15 years. Major respondent
in this area are illiterate and engaged in household activities
only. Demand of child is largely depend on age and age at
marriage of women. The result also indicates that 43.6 percent
and 36.5 percent of the respondent in the study area have
three male and female children respectively.
The
results of the inferential analysis show that all the explanatory
variables are statistically and significantly affect the probability
of demand for child except religion, husband education level,
respondent occupation and watches television of women in the
study location. The sex and number of children is also an
important factor for demand of children. The couples who have
female children continue to go on giving birth to children
till a boy is born. In many cases the same is true for the
couple who have female children. Visits of health worker can
change a couple's opinion to have a child because they increase
awareness of good health both about child and their mother.
The
results of the study Suggests that in order to accelerate
the process of fertility decline in the country greater priority
is to development in the social sector including enhancement
of women's status, especially through increased female education
and employment opportunities and improved access to mass media.
In order to increase age at marriage the legislating law of
marriage should maintain strictly. The government of Bangladesh
should be aimed at operational zing the delivery of the wider
reproductive health service package in rural and urban areas
of the country.
ACKNOWLEDGEMENT
The author would like to special
thanks the funding support from UNFPA to strengthen the department
of Population Science and Human Resource Development, University
of Rajshahi, Bangladesh. I also thanks to Professor Abul Basher
Mian, Director of Institute of Bangladesh Studies, University
of Rajshahi, Bangladesh for his necessary directions.
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