Contribution of Contraception to Fertility in the Province of the Special Region of Yogyakarta

Arga Nugraha(1), Syahmida S Arsyad(2), Septi Nurhayati(3),


(1) Badan Kependudukan dan Keluarga Berencana Nasional
(2) Badan Kependudukan dan Keluarga Berencana Nasional
(3) Badan Kependudukan dan Keluarga Berencana Nasional

Abstract

The condition of the total fertility rate in Yogyakarta Province has tended to increase in the last decade. But there has also been a decline in the use of modern contraception. This study aims to study the determinant trend between fertility in the Province of Special Region (DI) Yogyakarta using the 2002/03 IDHS data and the 2017 IDHS with aggregate data for women of childbearing age 15-49 years. The results show that the pattern of marriage, the use and effectiveness of contraception, and the pattern of infertility during breastfeeding are intermediate determinants of fertility in DI Yogyakarta Province. Patterns of use and effectiveness of contraception are the main determinants of fertility in the two survey periods. The increasing marital index shows that the reproductive period of women in married status is getting longer and can cause them to be exposed to the possibility of giving birth to more children. The role of the use and effectiveness of contraception is still dominant in contributing to fertility decline. Therefore the use of contraception as a birth control still needs to be strengthened either through advocacy to stake holders in the local government.

Keywords

Fertility; Contraception

Full Text:

PDF

References

Adioetomo, S.M., & Samosir, O.B. 2010. Dasar-Dasar Demografi. Jakarta: Salemba Empat.

Ahmed, S, & Seifadin. 2020. Roles of Proximate Determinants of Fertility in Recent Fertility Decline in Ethiopia: Application of the Revised Bongaarts Model. Open Access Journal of Contraception, 11, pp.33–41.

Alazbih, N.M., Getachew, N.T., & Tariku, D.D., 2017. Contraception and Fertility Transition in Amhara National Regional State of Ethiopia: An Application of Bongaarts’ Model. Fertility Research and Practice 3(1), pp.1–11.

Ariho, P., Allen, K., & Abel, N., 2018. Determinants of Change in Fertility Pattern among Women in Uganda during the Period 2006–2011. Fertility Research and Practice, 4(1), pp.1–11.

Ariho, P., & Abel, N., 2019. Determinants of Change in Fertility among Women in Rural Areas of Uganda. Journal of Pregnancy, 2019.

Arsyad, S.S., & Septi, N., 2017. Determinan Fertilitas Di Indonesia. Jurnal Kependudukan Indonesia, 11(1), pp.1.

Bambang, B.R., Nugroho, E., Cahyati, W.H., & Alfiana, A.N.N., 2019. Proximate Determinant of Adolescents Fertility in Central Java. Jurnal Kesehatan Masyarakat, 15(1), pp.141–46.

Bongaarts, J., 1978. A Framework for Analyzing the Proximate Determinants of Fertility. Population and Development Review, 4(1), pp.105–32.

Bongaarts, J., 2015. Modeling the Fertility Impact of the Proximate Determinants: Time for a Tune-Up. Demographic Research, 33(1), pp.535–60.

BPS, BKKBN, Kemenkes, & ICF International., 2017. Survei Demografi Kesehatan Indonesia 2017. Jakarta: BPS, BKKBN, Kemenkes, dan ICF International.

Chemhaka., Garikayi, B., & Clifford, O.O., 2019. The Proximate Determinants of Fertility in Eswatini. African Journal of Reproductive Health 23(2), pp.65–75.

Chola, M., & Charles, M., 2016. Proximate Determinants of Fertility in Zambia: Analysis of the 2007 Zambia Demographic and Health Survey. International Journal of Population Research, 2016, pp.1–7.

Davis, K., & Judith, B., 1956. Social Structure and Fertility : An Analytic Framework. Economic Development and Cultural Change, 4(3), pp.211–35.

Finlay, J.E., Iván, M-G., & Yoko, A., 2018. Inequality in Total Fertility Rates and the Proximate Determinants of Fertility in 21 Sub-Saharan African Countries. PLoS ONE, 13(9), pp.1–16.

Haq, I., 2018. Decomposition of the Change in Proximate Determinants and Its Impacts on Fertility in Bangladesh: An Evidence from National Surveys. International Journal of Mathematics and Computational Science, 4(1), pp.8–17.

Kabir, A, Jahan, G., Jahan, R., 2001. Female Age At Marriage As A Determinant Of Fertility. The Scieces, 1(6), pp.372-376.

Laelago, T., Yitagesu, H., & Samuel, Y., 2019. Proximate Determinants of Fertility in Ethiopia; An Application of Revised Bongaarts Model. Reproductive Health, 16(1), pp.1–9.

Lailulo, Y.A., & Susuman, A.S., 2018. Proximate Determinants of Fertility in Ethiopia: Comparative Analysis of the 2005 and 2011 DHS. Journal of Asian and African Studies, 53(5), pp.733–48.

Majumder, N., & Faujdar, R., 2015. Explaining the Role of Proximate Determinants on Fertility Decline among Poor and Non-Poor in Asian Countries. PLoS ONE, 10(2), pp.1–27.

Nasir, J.A., Hinde, A., Padmadas, S., 2015. What Can Proximate Determinants of Fertility Tells Us about the Fertility Transition of Pakistan? Pakistan Journal of Commerce and Social Sciences (PJCSS), 9(3), pp.799–817.

Rogers, E., & Rob, S., 2018. Examining Temporal Shifts in the Proximate Determinants of Fertility in Low- and Middle-Income Countries. Journal of Biosocial Science, 50(4), pp.551–68.

Samosir, O.B., 2019. Dekomposisi Fertilitas Indonesia: Analisis Berdasarkan Hasil SDKI 2017. pp.1–37.

Semahegn, A., Kwasi, T., Abubakar, M., Nega, A., & Augustine, A., 2018. Women’s Contraceptive Use, Fertility Intention, and Associated Factors: Evidence from Health and Demographic Surveillance System, Eastern Ethiopia. East African Journal of Health and Biomedical Sciences 2(2), pp.1–10.

Singh, S., Bankole, A., & Darroch, J.E., 2017. The Impact of Contraceptive Use and Abortion on Fertility in sub-Saharan Africa: Estimates for 2003–2014. Population and Development Review, 43, 1, pp. 141-165.

Tey, N.P., Ng, S.T., & Yew, S.Y., 2012. Proximate Determinants of Fertility in Peninsular Malaysia. Asia Pac J Public Health, 24(3), pp.495–505.

Wicaksono, F., & Dhading, M., 2016. Determinan Fertilitas: Suatu Pendekatan Multilevel. Jurnal Ilmiah Widya, 3(3), pp.134–39.

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.