Source: FP Board of Empat Lawang District, 201 6
Source: FP Board of Empat Lawang District, 201 6
The Head of Family Planning Board of Empat more responsibilities like those civil servants PLKB.” Lawang explains this issue:
(Sulni, July 16 th , 2016)
“This year (2016) we have 118 non-civil servants
PLKB and 9 civil servants PLKB for 156 villages.
4.5. Political issues
However, the performance and competency of these PLKB are still far from enough, because more than 90%
Table 10 summarizes main political issues faced by of them are non civil servants that obviously have a very
Family Planning Board of Empat Lawang District. The limited skills and knowledge of family planning service.
highlight of political issue is the will of the Regent to Our office can only give them an adequate portion of
accomplish the family planning programs. task that appropriate with their capacity, we cannot ask
Table 10 Political issues faced by Family Planning Board of Empat Lawang District No
Source of problems
Impact
1. Frequent changes of the Board Frequent changes in structure and nomenclature in Family structures and nomenclature
Planning Board of Empat Lawang subsequently followed by the changes of personnel’s task and function routines.
2. The compulsion to coordinate Every program and policy that came from Central Government every Central government’s
has to be coordinated first with the mayor. This indicates that program and policy with the
Family Planning Board Empat Lawang cannot adopt said Regent
program and policy immediately.
3. The priority and supports from The priority and supports from mayor that not reflected fiscally Regent and local government
means that generally, Family Planning Board of Empat are not reflected fiscally
Lawang rarely granted enough funds to carry out their community-oriented programs.
4. Family Planning Board of Without commando relationship as carried out in centralization Empat Lawang is autonomous;
era, Family Planning Board of Empat Lawang have to the relationship with Central
formulate its own programs, adjust its policies and programs BKKBN
with the local government’s regulation and more importantly BKKBN
and
Province
defend its own programs to gain sufficient funds. coordination only.
The accomplishment of family planning programs in Empat accomplishment of Family
pattern
and
Lawang is not only depends on the performance of Family Planning programs in Empat
Planning Board, but also greatly depend on the support of Lawang is greatly depend on
mayor himself. Even when the performance of Family Regent
Planning Board of Empat Lawang is at its best, without the support from the mayor government, some programs cannot be conducted thus effect the overall accomplishment.
Source: interviews with key informants Political autonomy measures the discretionary
4.6. Other proximate and socio economic determinants power in political decision making awarded to each
within community and families during decentralization district. For Empat Lawang District, as the result of
In order to gain information about other socio- local election, district mayor is the person who had the
economic issues within community and families that most power in policy and decision making in all aspects
influence women fertility in Empat Lawang district of administration including family planning. This is the
during decentralization, five respondents were reason why the accomplishment of family planning
interviewed. All respondents are women in reproductive programs is not only depend on Family Planning Board
age (15-49 years old) with more than five children, as the local government agency responsible for the
indicating high fertility level. Table 11 summarized the matter, but also greatly depend on the mayor and his
result of the interviews.
will.
Table 11. Proximate and social economic determinants of women fertility in Empat Lawang district during decentralization
No Determinants
Explanation
1. Marital Status Women fertility directly influenced by marital status, married women obviously more fertile than unmarried women.
2. Contraception use The use of contraception directly influences women fertility. Qualitative data obtained by interviewing five respondents (women with more than five children) shows that the all respondents were initially use contraception, however, due to various factors, all of them eventually stop using it.
3. Age at first marriage Age of first marriage influence women fertility. Two of respondents with 10 children married at a very young age.
4. Level of education The level of education influence women fertility. All of respondents have low level of education.
5. Employment Employment influences women fertility. All respondents are employed, but the employment is not permanent.
6. Income The amount of income influences women fertility. All of respondent’s income are insufficient to square the household expenses and necessities.
7. Place of residence Place of residence influences women fertility. All of respondents live in rural area.
Source: interviews with key informants
We found that all respondents are married and auton omy” has a major flaw in design and preparation. initially using contraception. However, due to various
The rush preparation and poorly designed laws of factors, all of them eventually stop using it. Interviews
decentralization did not take into account the inequality with two respondents that have 10 children confirm this
of region’s capacity, so they cannot be imposed proposition.
effectively and conversely produce perverse effects, “I used contraception after I gave birth to my especially for poor and less developed regions. Furthermore, they have no clear general framework on
fourth child, but sometimes I forgot to take my pills or I how to carry out the goals of the reform (Alm et.al, could not have the contraception shot (injection method) 2001). Various issues arise during the short right away due to my economic situation. During that implementation period such as unclear division of time I had not use any contraception, I got pregnant
again.” (Rusmanilawati, July 14 authorities among the tiers of government causing a
th
struggle for authorities among them, inefficient resource “I got married with my first husband when I was
allocation caused by the low capacity and
12 years old, but I have finished my junior high school demoralization of civil servants within the regional despite that. I work as a cleaning service now and I got
governments, widening disparity among regions, and IDR1,000,000 per month as salary.” (Rusmanilawati,
stronger primordial ties based on ethnic and religion. July 14 th 2016)
(Suwondo, 2002; Seymour &Turner, 2002; Yappika, “I have never attended school and I got married 2006).
when I was 14 years old. I and my husband are working The findings of qualitative data also confirm the on our farm to make a living; we cannot predicted our
result of quantitative one. Empat Lawang district is monthly income, maybe around IDR2,000,000.”
facing similar typical problem in implementing (Mursyidah, July 17 th 2016)
decentralization. Fiscally, the intergovernmental transfer Age at first marriage unsurprisingly determine
and grants consist of General Allocation Fund (DAU) fertility, where two of respondents with 10 children
and Special Allocation Fund (DAK) remains to be the married at a very young age. Level of education
most important revenue resource for the family planning apparently also influences high-level fertility, where all
programs in Empat Lawang district. Moreover, the of respondents received low education. The same
absence of local revenue in funding the programs and pattern also applies on employment and income. The
inefficiency in budget allocation means that Empat interviews result shows that even though all of
Lawang ’ s government is lacking in fiscal capacity, respondents are employed, the employment is not
merely depend on the transfer from central government. permanent and the income is insufficient.
Administratively, the human resources in Empat
5. Discussion and conclusion
Lawang district are very limited in both quantity and quality. To compensate the highly limited number of
The topic of fertility determinants and its impacts civil servant PLKB, Family Planning Board of Empat to population has become a common topic in social
Lawang district recruited some non-civil servant PLKB, studies both in developed and in developing countries.
with inadequate skills and knowledge. This matter However, the association between fertility with policy
confirms the finding of Seymour and Turner (2002) who factors such as decentralization is rarely being
stated “the capability of human resources, especially discussed.
those at the districts and municipalities are not ready decentralization of Indonesia, this study examines the
association between fiscal, administrative and political decentralization with women fertility. The main results
Politically, the elected Regent holds most power in show that none of those three types of decentralization
the region. The accomplishment of family planning have significant association toward women fertility,
programs in Empat Lawang is not only depend on means that decentralization have no association with
Family Planning Board as the local agency responsible decreasing or increasing women fertility. However, all
to the matter, but also greatly depend on the Regent’s of proximate determinants and socio-economic factors
will. Moreover, there is no citizen’s control over the in both the household level and individual level are
performan ce of the government as there is no ‘recall’ significant.
mechanism provided for the incumbent government if they perform badly. These entire problems combined
This result confirms the findings of previous resulting in weak performance on family planning studies argued that decentralization process in
Indonesia, which commonly known as “regional programs; this is why decentralization that supposedly brings a better condition to the community is not Indonesia, which commonly known as “regional programs; this is why decentralization that supposedly brings a better condition to the community is not
Furthermore, the significant connections between proximate determinants and socio-economic factors with women fertility is unsurprisingly confirm many studies related to the topic. The two proximate determinants used in this study are marital status and the use of contraception. It is broadly demonstrated that these two factors determine the core of exposure to the risk of pregnancy (Bay et.al, 2003). Marriage represents the primary context with where fertility occurs (McDevitt, 1996). There is a consensus that the use of contraception is the most important factor that explains the strong fertility decrease that took place in the last decades in the world, particularly in the last 30 years (Cesare & Vignoli, 2006; Guzman et.al, 2001).
The negative association between poor household and fertility confirm the findings of Schultz (1994, 2005). This is because the wealthier households, where wealth takes the form of income from physical assets and land, tend to have more children. However, having electricity is more likely to increase fertility, contradicts the finding of Grimm et.al (2014) who found evidence that the availability of electricity increases exposure to TV and by this channel reduces fertility. The positive connection between Islam majority populations with fertility suggest that Muslim people tend to have more children than non-Muslim people. However, Jeffery and Jeffery (1997) and Weeks (1988) assert that different fertility rates among Hindus and Muslims in India actually result from the differences in region, residence and schooling. They do not result from the differences in religious matters or autonomy of the women. Moreover, almost every region in Indonesia has Islam majority population, that makes this variable is hard to interpret.
It has been widely discussed that there is a strong relation between women’s education level and fertility
control. Studies of fertility differentials in both developed and developing countries indicate a negative relationship between the level of education attained by women and their fertility (Goldstein, 1972; Hessian, 1970; Jordan, 1976; Rodriguez and Cleland, 1980; Jain, 1980). Women with higher education postpone marriage and have lower fertility levels. Being employed apparently increasing fertility; this contradicts the findings of Brewster and Rindfuss (1996) that show the negative effect of women’s employment on fertility using data from industrialized countries. This result might be contradicted because Indonesia’s women mostly come from agricultural work with less work hours than industrialized countries. It was also found
that women in rural areas are more likely to give birth to more children than those in the urban areas. Women in rural areas may want large families to ensure that someone will help with domestic and agricultural activities and provide financial security in old age. In urban areas, women may begin to limit their fertility because of the costs associated with child breeding. Living in urban areas may change women’s values as they are expected to the modern health sector, family planning, and more western attitudes (Acsadi and Johnson-Acsadi, 1990).
This study was made with a number of limitations that should be taking into consideration. First, because this study only uses one-year data, we cannot illustrate the trends and a meaningful relationship between my dependent and independent variables. The future research could add two or more years to make a trend and find more meaningful relationship between those variables. Second, due to its cross-sectional design, we have to be careful on how to interpret the associations. The estimated coefficient should be viewed as a measure of association rather than of causation. The causal effect of decentralization and fertility is something which future research should investigate further. Third, this study did not take the characteristics of husband into account; therefore, future research may add those characteristics to make the research contextually richer.
Despite these limitations, this study has been able to contribute to the existing literature of decentralization and fertility as well as for demographic policy in a developing country. First, this study used a large sample of districts, household and individuals to capture the association of decentralization and women fertility that generalizable to all districts in Indonesia. By using multilevel analysis, this study able to account simultaneously for household and districts government factors on women fertility. Moreover, the addition of qualitative data from Empat Lawang District is able to give clearer picture of how the implementation of decentralization affected family planning programs in district level.
Second, most of the studies both in developed and developing countries analyze fertility with behavioral and socio-economic factors only. This study contributes to this part by trying to associate fertility with contextual factors such as government policies and reforms. The fact that decentralization is not associated with women fertility may indicate that decentralization may not the best way to decrease women fertility in Indonesia. Therefore, in order to decrease fertility to the universal replacement level of 2.1 TFR, the government of
Indonesia should make adjustment in their decentralized Cesare, M. & Vignoli, JR. 2006. Micro Analysis of family planning and population control programs. To
Adolescent Fertility Determinants: The Case of revitalize the family planning, the government should
Brazil and Colombia. Papeles de Poblacion No. first reformulate the vision, mission and values to
48: 93-123.
respond to the new realities of decentralized Indonesia Chaurasia, A.R. 2011. Fertility Transition in Districts of and achievement of the goal of replacement level
India. Evidence from District Level Household fertility (Hull & Mosley, 2009).
Survey 2007-08 . Studies in Population and Development.
Third, this study highlights that increasing human Chernichovsky, D. & Meesook, OI. 1981. Regional capital of women may be one of the best way to decrease women fertility. The national and local aspects of family planning and fertility behavior
in Indonesia . Washington, D.C. (1818 H St., governments should continue to improve human capital N.W., Washington 20433): World Bank. through improving access to higher education and
providing better employment for women. Collins, C.D., “Decentralization and the need for
political
critical analysis”, Health Policy and Planning , Vol. 48 (1989),
and
pp.168-169. Davis, K. & Black, J. (1956). “Social Structure and
References
Arun, A. & Ribot, J., “Analyzing Decentralization: A fertility an analytic framework” Economic Framework
4, No.4, Asian and West African Cases”, Journal of
with
South
Development and Cultural Change
July, pp.211-235
Developing Areas , Vol. 33 (1999), pp. 473-502. Dethier, J. (ed.), Governance, Decentralization and Ballas, D., & Tranmer, M. (2011). Happy people or
China , happy places? A multilevel modeling approach
Reform
in
India and Russia, Kluwer Academic Publishers to the analysis of happiness and well-being.
and ZEF (2000).
International Regional Science
Review ,
0160017611403737. Fesler, J.W. 1965. Approaches to the Understanding of Baochang, G. 2007. China’s local and national fertility
The policies at the end of the twentieth century.
Decentralization.
Journal of Politics 27 (3): 536-566. Population and Development Review
Goldstein, S. (1972). The influence of labour force 129-147.
and Education Bardhan, P. & Dilip, M. 2012. Political Clientelism and
Participation
on fertility in Thailand, Population studies, Vol. Capture: Theory and Evidence from West
25, No. 3(nov) 419-36.
Bengal,
Grimm, M. , Sparrow, R & Tasciotti, L. 2014. Does Paper) . International Growth Centre (IGC),
Electrification Spur the Fertility Transition? London, UK.
Evidence from Indonesia. Demography, 52, Borck, R. 2007. Federalism, fertility and growth: CESifo
1773-1796.
working Guzman, J. 2001, Diagnosis on sexual and reproductive paper , No. 2167
health of adolescentsLatin America and the Bongaarts, J. 1978. A Framework for Analyzing the
Caribbean . United Nations Fund for Population Proximate Determinants of Fertility. Population
Activities (UNFPA) México. and Development Review 4 : 105-132.
Hayes, AC. 2010. The status of family planning and Bongaarts. J & G.R. Potter, (1983): Fertility, Biology
reproductive health in Indonesia, 2010. UNFPA and Behavior: An Analysis of the Proximate
– ICOMP Regional Consultation. determinants, Academic press, New York.
Hull, T.H. and Mosley, H. 2009. Revitalization of family Brueckner, J., Fiscal Decentralization in LDCs: The
planning in Indonesia . Bappenas, BKKBN and Effects
Corruption and Tax Evasion , Department of Jeffery, R. & Jeffery, P. 1997. Population, Gender and Economics, University of Illinois at Urbana-
Politics: Demographic Change in Rural North Champaign, (1999), mimeo.
India , Cambridge: Cambridge University Press. Cammack, M. & Tim, BH. 2002. Regional variation in
Jones, G. & Adioetomo, SM. 2014. Population, Family acceptance of Indonesia’s family planning
Planning and Reproductive Health . Background program. Population Research and Policy
document for 2014-19 RPJM. Review : 565-585.
Khaleghian, P., “Decentralization and Public Services: Population and Development Review, Vol. 22, The
Case
of
No. 3, pp. 457-482
Immunization”, World Bank Policy Research Robalino, M. G., Picazo, O. F., & Voetberg, A. (2001). Working Paper 2989 , (2003), World Bank.
fiscal Washington, D.C.
Does
decentralization improve health outcomes? Khan, Q. 2014. Decentralization’s effects on education,
cross country health and agriculture outcomes, and on
Evidence
for
analysis. World Bank Country Economics distribution: Evidence from Ethiopia . World
Series 2565 . Bank.
Department
The World Bank.
Lakshminarayanan, R. 2003. Decentralisation and its Robinson, W. S. (2009). Ecological correlations and the Implications for Reproductive Health: The
behavior of individuals. International Journal of Phillipines Experience. Reproductive Health
epidemiology , 38(2), 337-341. Matters , Vol. 11 No. 21, pp. 96-107.
Saunders, M. & Sharma, S. 2008. Mobilizing Political Lieberman, S. S. (2002). Decentralization and health in
Support and Resources for Family Planning in a the
Decentralized Setting: Guidelines for Latin Indonesia. An Interim Report, East Asia Human
Philippines
and
Caribbean Countries. Development.
American
and
Washington, DC: Futures Group, USAID | Litvack, J, Junaid, A. & Richard, B. 1998.
Health Policy Initiative, Task Order 1. Decentralization
Decentralization: Developing Countries. The World Bank.
Conceptualization and Measurement, Studies in Washington DC.
Comparative International Development , Fall Litvack, J., & Seddon, J. (1999). Decentralization
2003, Vol. 38, No. 3
briefing
Schultz, T. P. 1994. Marital Status and Fertility in the Bank Institute, Washington, DC.
notes .
World
United States: Welfare and Labor Market Mills, A., “Decentralization and Accountability in the
Effects. The Journal of Human Resources, 29, Health
International Perspective: What are the Schultz, T. P. 2005. Fertility and Income. Center Choices?”,
Discussion Paper No. 925 . Yale University. Development , Vol.14 (1994), pp. 281-292.
Seymour, R. & Turner, S. 2002. Otonomi Daerah: Mize, LS. and Robey, B. (2006). A 35 Year Commitment
Indonesia’s Decentralization Experiment. New to Family Planning in Indonesia: BKKBN and
4 (December USAID’s Historic Partnership. Baltimore: Johns
Zealand Journal of Asian Studies
2002), 33-51.
Hopkins Bloomberg School of Public Smith, B.C. 1985. Decentralization: The Teritorial Health/Center for Communication Programs.
the State . Peabody JW, Rahman MO, Gertler PJ, Mann J, Farley
Dimension
ot
George Allen & Unwin (Publishers). London. DO,
& Tampubolon, G. (2015). and Health: Implications for Development in
Sujarwoto, S.,
Decentralisation and citizen happiness: A Asia , Cambridge University Press, Cambridge
multilevel analysis of self-rated happiness in (1999).
Indonesia. Journal of Happiness studies, 16(2), Rabe-Hesketh, S., & Skrondal, A. (2012). Multilevel
455-475. and longitudinal modeling using stata 3 ed Sujarwoto, S. (2012). Political decentralization and local Volume 2: Categorical Responses Counts and
performance in Survival, Vol. 2. Tex: College Station.
public
services
Indonesia. Journal of Public Administration and Rahayu, R., Iwu, U. & McDonald, P. 2009.
Governance , 2(3), 55-84.
Contraceptive use among married women in Sujarwoto. S. (2016). Does Democracy Make You Indonesia. International Conference on Family
Happy? Multilevel Analysis of Self-rated Planning: Research and Best Practices .
Indonesia. Jurnal Studi Randall, E. 2012. Family Planning Programmes
Happiness
in
Pemerintahan: Journal of Government and Review .
Politics , 7(1).
Rindfuss, R. R., Brewster, K. L. & Kavee, A. L. 1996. Sujarwoto, S., & Tampubolon, G. (2016). Spatial Women, Work and Children: Behavioural and
inequality and the Internet divide in Indonesia Attitudinal Change in the United States,
2010 –2012. Telecommunications Policy, 40(7), 602-616.
Sujarwoto, s. (2017). Geography and Communal Conflict in Indonesia. Indonesian Journal of Geography , 49(1), pp. 86-96
Uchimura, H. & Jutting, J.P. 2009. Fiscal Decentralization, Chinese Style: Good for Health Outcomes?. World Development Vol. 37, No. 12, pp. 1926-1934.
Weeks, J, R. 1988. The Demography of Islamic Nations, Population Bulletion , Vol. 43, No. 4, pp.5-53. World Bank, World Development Report, Making services work for poor people , World Bank, Washington, DC, (2004).
Yamamura, E. 2011. Corruption and Fertility: Evidence from OECD countries. Journal of Economics and Econometrics Vol. 54, No.2, 2011 pp. 34-
57.