Desire to Have Children Assessed from Socioeconomic Context Post
Disaster in Palu
Abd. Rahman
1,3
a
, Sri Rum Giyarsih
2,*
b
and Sigit Herumurti B. S.
2
c
1
Graduate School of Doctor Population, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
2
Population Study Program, Graduate School, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
3
Publich Health Study Program, Universitas Tadulako, Palu 94148, Indonesia
Keywords: Socioeconomic, Desire to Have Children.
Abstract: An earthquake measuring 7.4 on the richter scale rocked the central part of Indonesia in Palu, Sigi, and
Donggala on September 28, 2018. The earthquake that was accompanied by the tsunami and liquefaction
caused 4,340 fatalities people including children. This study aims to look at the socio-economic role (age,
education, occupation, income and ethnicity) on the mother's desire to have children after the disaster in Palu
City. This research was conducted in Palu and the participants in this study were 382 mothers. The sampling
technique uses propositional stratified random sampling. Data analysis using linear regression analysis.
Research result shows that socioeconomic factors (age, education, occupation, income, and ethnicity)
simultaneously contribute to the desire of mothers to have children, and age become the most dominant factor
in a role. The conclusion of this study shows that the age group at risk of pregnancy and childbirth, high
education, have a job, have worked have an increased desire to have children. The results of this study are
expected to be a reference or guide in predicting fertility and the desire to have children in areas affected by
natural disasters, especially earthquakes, tsunamis and liquefaction, viewed from the socio-economic context.
1 INTRODUCTION
Geographical impacts can create instability, risk, and
uncertainty in the population process in communities
in an area. One of the geographical effects that occur
is natural disasters. Natural disasters are caused by
hydro-meteorological, climatological, geophysical,
and biological phenomena which adversely affect the
affected natural environment. The effect is in terms of
casualties and material damage. High-intensity
external assistance is needed in the event of natural
disasters (e.g., floods, landslides, storms and
earthquakes, tsunamis including liquefaction) (Mata-
Lima et al., 2013).
An earthquake measuring 7.4 on the Richter scale
shook the central part of Indonesia, to be precise in
the cities of Palu, Sigi, and Donggala on September
28, 2018, which occurred at 18.02 WITA which was
accompanied by a tsunami and the emergence of new
a
https://orcid.org/0000-0002-0579-9478
b
https://orcid.org/0000-0003-4369-5466
c
https://orcid.org/0000-0002-6821-6364
*
Corresponding author
phenomenon, namely liquefaction or land subsidence
due to the density of soil volume. Liquefaction,
known as moving land, has buried many residents and
their homes, such as in Perumnas Balaroa, Petobo
Palu Village, and Jono Oge Village, Sigi Regency.
This disaster caused 4,340 fatalities.
Disasters on a large scale caused many casualties,
including children. Women who have lost their
children or died tend to change their children to
certain social groups such as extended families or
ethnic groups. Previous studies have documented
shifts in infertility after earthquakes, hurricanes,
famine, economic crises, terrorist attacks, wars, and
genocide (Finlay, 2009). According to Mason, before
the demographic transition, the decision to give birth
was based on groups and communities, which tended
to occur through marriage time and intensity. There is
a shift where the decision to give birth is based on
individuals and families by looking more at the
Rahman, A., Giyarsih, S. and B. S., S.
Desire to Have Children Assessed from Socioeconomic Context Post Disaster in Palu.
DOI: 10.5220/0010742600003112
In Proceedings of the 1st International Conference on Emerging Issues in Humanity Studies and Social Sciences (ICE-HUMS 2021), pages 19-24
ISBN: 978-989-758-604-0
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
19
family’s concrete conditions than accepted social
norms (Reher, 2011).
Child mortality has a positive relationship with
higher birth choices. The risk of child mortality and
women's bargaining power plays an essential role in
selecting birth for women in Ghana (Novignon et al.,
2019). Women with higher bargaining power tend to
prefer smaller numbers of children than women with
lower bargaining power. Likewise, there was an
increase in childbirth after the Gujarat earthquake;
this change give birth was driven by the condition of
women who experienced the death of a child (or death
in the family). Also, there a reduction in birth spacing
(too close birth spacing) between uneducated ethnic
groups and Muslim women (Nandi et al., 2018).
Another study conducted (Davis, 2017) showed a
higher rate of post-disaster births in cities with higher
rainfall in the period after Hurricane Mitch. However,
births return to average among the affected areas four
to six years after the hurricane.
In Aceh, with a death toll of 170,000 people, the
tsunami disaster experienced increased births caused
by two groups of women. First, mothers who lost their
children to the tsunami were significantly more likely
to give birth after the tsunami than mothers whose
children survived. These births accounted for about
13% of the overall increase in giving birth due to the
tsunami. Second, where the local area's mortality rate
is higher, women who had not given birth before the
disaster were also significantly more likely to give
birth after the disaster than the same women in the
community with low mortality from the tsunami
(Frankenberg et al., 2015). The increase in deliveries
due to disasters is inseparable from socio-economic
factors; In Coale's theory, it explains three conditions
that affect birth in marriage, namely (i) the social
context consciously allows birth planning; (ii)
availability of information on effective means of birth
control; and (iii) clear economic benefits of fertility
control. In specific contexts such as disasters, socio-
economic conditions can influence birth decisions
(Wei et al., 2018).
Socio-economic development has a positive
influence on reproductive health in the birth process.
Consequently, to examine the independent effects of
natural disasters on women's reproductive health,
controlling for socio-economic impacts is essential
(Bradshaw, 2004). Socio-economy is a measure of an
individual's position in the social order hierarchy. The
three related indicators are household income,
education and employment. Other measures include
neighborhood income, family structure, race /
ethnicity and accumulated assets or wealth. Socio-
economic status is a consistent and reliable predictor
of health inequality, including in the determination of
birth decisions (Seabrook, 2015). Economic and
environmental instability can also influence birth
changes (Lin, 2010).
This study differs from several previous studies in
which research has focused on a catastrophic impact
on fertility and the desire to have children. Our
research focuses on the effects of three disasters at
once, namely earthquake, tsunami, and liquefaction,
to know the extent of the relationship or socio-
economic role (age, education, occupation, income,
and ethnicity) on mother's wishes. The expected
contribution of this research is to get an overview of
the fertility level and the mother's desire to have
children after the disaster, which will later be used as
a reference or guideline in population policy.
2 METHOD
Conducted this research in Palu. Participants in this
study may be 382 mothers who fall into the inclusion
criteria, namely fertile age couples (PUS) and
mothers affected by natural disasters
(earthquake/tsunami /liquefaction). The sampling
technique used is proportional stratified random
sampling. Before collecting the data, the researcher
recommends a research permit to the Central
Sulawesi Provincial Government through the One-
Stop Investment Service and Integrated Services.
After getting the recommendation, the researcher then
carried out the data collection process. All mothers
were informed about the purpose of this study and
how to complete the questionnaire. After all, mothers
understand the meaning of the research and how to
fill out the questionnaire, the mother can immediately
fill out the questionnaire. Data analysis used linear
regression analysis to examine the relationship
between the independent and dependent variables and
how much socioeconomic variables (age, education,
occupation, income, and ethnicity) could predict the
dependent variable and see the dependent variable's
predictor contribution.
3 RESULT AND DISCUSSION
A total of 382 respondents were studied, most of the
age group >35 years as much as 50.3% compared to
the age group <20 years and the age group 20-35
years although not much different. Most of the
respondents had a high school education level of
42.9%. On average, 75.1% of respondents do not
ICE-HUMS 2021 - International Conference on Emerging Issues in Humanity Studies and Social Sciences
20
have a job, and this also affects their income, where
most of their income is not suitable, namely 79.6% of
respondents or below the average minimum wage
(UMR). Meanwhile, the largest ethnic group in this
study was the original ethnic group (Kaili) at 55%.
Can see detail in table 1 below:
Table 1: Frequency distribution of socio-economic
characteristics and desires having children in post-disaster
mothers.
Variable n %
Age
• <20 years
• 20-35 years
• > 35 years
5 (1.3)
185 (48.4)
192 (50.3)
Education
Never went to school
Did not graduate from elementary
school
graduated from elementary school
graduated from junior high school
graduated from high school
College
0 (0)
4 (1)
78 (20.4)
87 (22.8)
164 (42.9)
49 (12.8)
Profession
• Does not work
• Wor
k
287 (75.1)
95 (24.9)
Income
• Not corresponding
• Corresponding
304 (79.6)
78 (20.4)
Ethnicity
• Original
• Comer
210 (55)
172 (45)
Desire to have children
• Want
• Not
234 (61.3)
148 (38.7)
Based on the tests carried out on the F value, I was
that the calculated F value was 8,010, and the
significance value was 0,000 or <0.05, even less than
0.01. meaning that the variables age, education,
occupation, income and ethnicity simultaneously
contributed to the desire to have children in post-
disaster mothers. Meanwhile the variable coefficient
model can be seen in Table 2 below:
Table 2: Variable coefficient model.
Variable
Desire to have children
Beta t si
g
A
g
e 0.253 4.959 0.000
Education 0.142 2.117 0.035
Profession 0.107 2.055 0.041
Income 0.062 0.940 0.348
Ethnicit
y
0.062 1.250 0.212
Based on the coefficient model obtained in table
2, the t value of the age variable is 4.95, and the
significance value is 0.000 or less than 0.05, which
means that age significantly plays a role in the desire
to have children. The educational variable obtained a
value of 2.117 and a significance value of 0.035 less
than 0.05, which means that education plays a role in
the desire to have children. For the work variable, the
t value is 2,055 with a significance of 0.041, more
diminutive than 0.05, meaning that work plays a role
in the desire to have children. The t value of the
income variable is 0.940. The significance value of
0.348 is more significant than 0.05, meaning that
income does not play a role in the desire to have
children. For the ethnic variable, the t value is 1.250,
and the significance value is 0.212, which is greater
than 0.05, meaning that the ethnic variable does not
play a role in the desire to have children. The beta test
results or the absolute number of the three variables
found that the variable that had the most dominant
position in the desire to have children was the variable
age of 0.253 or 25.3%.
This paper reports a study on the socio-economic
role of wanting to have children in the aftermath of
the Palu City disaster. Study results do base on the F
test of 8,010 and a significance value of 0,000,
indicating that age, education, occupation, income,
and ethnicity play a role in mothers' desire to have
children after the disaster. Age plays a more dominant
position in the desire to have children.
Based on table 2, maternal age has a significant
role in the desire to have children after the disaster in
Palu. This study is consistent with Davis' research
(2017), where young women of reproductive age
mainly contribute to childbearing in the first years
after Hurricane Mitch. In addition, it was also found
that women (couples of childbearing age) who have a
well-established economy contribute less to births
than women who belong to a weak economy (Davis,
2017).
The results showed that the maternal age group
was 20-35 years and age > 35 years, after the disaster
in Palu, which contributed significantly to the
mother's desire to have children. The same research
results were also found in India, where mothers aged
20-30 years experienced a relatively high increase in
the birth rate of 3.1% after the earthquake. In
addition, births also increased in younger women (≤
20 years) by 2.3% and older women (> 30 years) by
1.1%. For the period 2000 – 2004, the estimated TFR
(Total Fertility Rate) data is 2.18 and 2.74 in areas
with and without a tsunami disaster. After the
tsunami, the birth rate by zone changed, with
mortality in the community, there was an increasing
Desire to Have Children Assessed from Socioeconomic Context Post Disaster in Palu
21
birth especially for women aged 20–34 years, and the
overall figures for 2006–2009 were TFRs of 2.67 and
2.52, respectively (Nobles et al., 2015).
In table 2, the study results show that a mother's
education plays a role in the desire to have children
after the disaster in Palu. The results obtained in Palu
are closely related to research on the effects of the
great earthquake in India. The study found those
uneducated women or did not complete their
education experienced an increase in childbirth. In
contrast, women with higher education experienced a
decrease in birth rates. However, something different
was found in Palu. Although the number of women
with higher education had a relatively low desire for
children, the proportion of women with higher
education wanted more children than those who did
not want to have children (Mason, 2017). Education
creates choices and exerts a strong influence on
women in society (Buyinza & Hisali, 2014). Most
education at the community level is associated with
lower births and longer birth intervals (Axinn &
Barber, 2001).
The study results in table 2 show that work plays
a role or is related to the desire to have children after
the disaster in Palu. The crippled economy and
disrupted working conditions resulting from the
disaster forced families and women to work hard to
meet their daily needs who did not only depend on
life support from the government. The results of this
study are in line with research conducted by Glavin et
al. (2020), which shows strong evidence of a strong
relationship between women's work and childbirth
decisions, where women's social location is thought
to play an essential role in shaping their reactions to
work (Glavin et al., 2020). Besides that, there are
apparent biological differences in the choice to give
birth to children; women are considered more
responsible for most of the upbringing of children,
especially in the early years of a child's life compared
to men (Ball & Daly, 2012).
Women's employment status affects their fertility;
women who do not work tend to have more children
than those who work. Data shows that 63.9% of
women of childbearing age who work and live in
villages do not have children (Indraswari & Yuhan,
2017). Interestingly enough, in Palu City, of the 49
working women mostly want children; this confirms
that although several studies have shown that working
women tend not to want children, the effects of
disasters change women's decisions to have children.
The study results in table 2 show that income does
not play a role in the desire of mothers to have
children after the disaster in Palu. The study results
are following the findings of research conducted by
Somer (2016), which explains that an increase in
family income affects the decision to have children
both in terms of number and time of birth. This is
based on observations made from the 1970s to the
1990s in Washington, during which time the number
of births continued to decline, and most of them
occurred in people with good income levels
(Sommer, 2016). But unlike what happened in
Turkey, about 28% of women with high incomes
desire to have more children after the disaster. This
also confirms that in disaster conditions or after a
disaster, women with good economic conditions also
desire to have children, or births can occur because of
the increased welfare status of women (Ocalan et al.,
2018).
Table 2 also shows that ethnicity does not play a
role in a mother's desire to have children in Palu.
There is a contrast to other studies. After the
earthquake among caste, minority groups
experienced the most significant increase in delivery
rate (2.8% increase), and deliveries among
underdeveloped caste women also increased by 0.9%
(Nandi et al., 2018). Another study shows different
fertility outcomes among ethnic groups, with reduced
chances of pregnancy for Asians and a reduced
likelihood of live births for all groups than
Caucasians (Butts & Seifer, 2010) . Likewise, a study
by Seltzer & Nobles (2017) explains that after
Hurricane Katrina, the population of women of
reproductive age decreased by 61% in the same time
period, from around 123,000 in 2005 to 48,000 in
2006. In 2006, the total birth rate (TFR) was lower
before the disaster; for black women, the TFR
decreased from 2.0 to 1.7. In contrast, TFR increased
among white women and increased substantially
among Hispanic women.
4 CONCLUSIONS
Natural disasters (earthquake, tsunami, and
liquefaction) in Palu caused massive casualties and
infrastructure damage, which affected the joints of
people's lives. The socio-economic impact affects the
population's concept, including fertility, which is the
main factor causing high population growth. The
research result on mothers' desire to have children
after the disaster by looking at socio-economic factors
(age, education, occupation, income, and ethnicity)
together and simultaneously play a role in the desire
to have children, and age is the most dominant factor
playing a role.
The results of this study are expected to be a
reference or guide in predicting fertility and the desire
ICE-HUMS 2021 - International Conference on Emerging Issues in Humanity Studies and Social Sciences
22
to have children in areas affected by disasters,
especially earthquakes, tsunamis, and liquefaction
seen from the socio-economic context so that if they
occur in other places with the same type of disaster,
they can find out the description of mothers who have
the same kind of disaster. Desire to have more
children. The findings of this study can be generalized
by considering some methodological limitations. To
find out more fully and in depth, it is better for the
next research to use a qualitative approach by
involving policy makers, especially the government,
health service workers (doctors and midwives), the
role of families and husbands and other sectors. In
addition, other variables can also be used to find out
more about why after the disaster the desire to have
children increases.
ACKNOWLEDGEMENTS
We want to convey our gratitude to Palu City's
government through the Investment Service and One
Stop Services of Central Sulawesi Province as the
agency authorized to issue research
recommendations.
REFERENCES
Axinn, W. G., & Barber, J. S., (2001). Mass education and
fertility transition. American Sociological Association,
66(4), 481–505. Retrieved from https://www.jstor.
org/stable/3088919
Ball & Daly., (2012). Father involvement in Canada:
diversity, renewal, and transformation, UBC Press.
Toronto, B. Vancouver edition.
Bradshaw, S., (2004). Socio-economic impacts of natural
disasters: a gender analysis, United Nations
Publications. Chili.
Butts, S. F., & Seifer, D. B., (2010). Racial and ethnic
differences in reproductive potential across the life
cycle. Fertility and Sterility, 93(3), 681–690.
https://doi.org/10.1016/j.fertnstert.2009.10.047
Buyinza & Hisali. (2014). Microeffects of women’s
education on contraceptive use and fertility: The case of
Uganda. Journal of International Development, 26,
763–778.
Davis, J., (2017). Fertility after natural disaster: Hurricane
Mitch in Nicaragua. Population and Environment,
38(4), 448–464. https://doi.org/10.1007/s11111-017-
0271-5
Finlay, J. E., (2009). Fertility response to natural disasters
the case of three high mortality earthquakes the world
bank sustainable development network vice presidency
global facility for disaster reduction and recovery unit.
Retrieved from https://www.gfdrr.org/sites/default/
files/publication/Fertility Response to Natural
Disasters.pdf
Frankenberg, E., Gillespie, T., Preston, S., Sikoki, B., &
Thomas, D., (2015). Mortality, the family and The
Indian Ocean Tsunami. HHS Public Access, 121(554),
1–27. https://doi.org/10.1111/j.1468-0297.2011.02446.
x.mortality
Glavin, P., Young, M., & Schieman, S., (2020). Labor
market influences on women’s fertility decisions:
Longitudinal evidence from Canada. Social Science
Research, 8889(July 2019), 102417. https://doi.org/
10.1016/j.ssresearch.2020.102417
Indraswari & Yuhan. (2017). Faktor-faktor yang
memengaruhi penundaan kelahiran anak pertama di
wilayah perdesaan Indonesia: Analisis Data SDKI
2012. Jurnal Kependudukan Indonesia, 12(1), 1–12.
Retrieved from http://ejurnal.kependudukan.lipi.go.
id/index.php/jki/article/view/274
Lin, C.-Y. C., (2010). Instability, investment, disasters, and
demography: natural disasters and fertility in Italy
(1820–1962) and Japan (1671–1965). Population and
Environment, 31(4), 255–281. https://doi.org/10.1007/
s11111-010-0103-3
Mason, R. O., (2017). Four ethical issues of the information
age. In Computer Ethics (Vol. 10, pp. 41–48).
https://doi.org/10.4324/9781315259697-8
Mata-Lima, H., Alvino-Borba, A., Pinheiro, A., Mata-
Lima, A., & Almeida, J. A., (2013). Impacts of natural
disasters on environmental and socio-economic
systems. Ambiente & Sociedade, VVI(3), 45–64.
Nandi, A., Mazumdar, S., & Behrman, J. R., (2018). The
effect of natural disaster on fertility, birth spacing, and
child sex ratio: evidence from a major earthquake in
India. Journal of Population Economics, 31(1), 267–
293. https://doi.org/10.1007/s00148-017-0659-7
Nobles, J., Frankenberg, E., & Thomas, D., (2015). The
effects of mortality on fertility: population dynamics
after a natural disaster. Demography, 52(1), 15–38.
https://doi.org/10.1007/s13524-014-0362-1
Novignon, J., Djossou, N. G., & Enemark, U., (2019).
Childhood mortality, intra-household bargaining power
and fertility preferences among women in Ghana.
Reproductive Health, 16(1), 1–13. https://doi.org/
10.1186/s12978-019-0798-2
Ocalan, D., Ceylantekin, Y., & Koyun, A., (2018). Factors
affecting the fertility desire of Anatolia: a CHAID
analysis assessment. Clinical and Experimental
Medical Sciences, 6(1), 13–24. https://doi.org/10.129
88/cems.2018.7116
Reher, D. S., (2011). Economic and social implications of
the demographic transition. Population and
Development Review, 37(SUPPL. 1), 11–33.
https://doi.org/10.1111/j.1728-4457.2011.00376.x
Seabrook, A., (2015). Family structure and children’s
socioeconomic attainment: a Canadian sample.
Canadian Sociological, Volume 52(1), Pages 66-88.
Retrieved from https://doi.org/10.1111/cars.12061
Seltzer, N., & Nobles, J., (2017). Post-disaster fertility:
Hurricane Katrina and the changing racial composition
Desire to Have Children Assessed from Socioeconomic Context Post Disaster in Palu
23
of New Orleans. Population and Environment, 38(4),
465–490. https://doi.org/10.1007/s11111-017-0273-3
Sommer, K., (2016). Fertility choice in a life cycle model
with idiosyncratic uninsurable earnings risk. Journal of
Monetary Economics, 83, 27–38. https://doi.org/
10.1016/j.jmoneco.2016.08.002
Wei, J., Xue, J., & Wang, D., (2018). Socioeconomic
determinants of rural women’s desired fertility: A survey
in rural Shaanxi, China. PLOS ONE, 13(9), e0202968.
https://doi.org/10.1371/journal.pone.0202968
ICE-HUMS 2021 - International Conference on Emerging Issues in Humanity Studies and Social Sciences
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