Social, Economic, Demographic Factors and Proximate Determinants of Fertility in Papua Province

https://doi.org/10.22146/jp.75800

Syahmida S Arsyad(1), Darojad Nurjono Agung Nugroho(2*), Arga Nugraha(3)

(1) Population Research and Development Centre, National Family Planning and Population Board, Jakarta, Indonesia
(2) Population Research and Development Centre, National Family Planning and Population Board, Jakarta, Indonesia
(3) Population Research and Development Centre, National Family Planning and Population Board, Jakarta, Indonesia
(*) Corresponding Author

Abstract


The research on proximate determinants of fertility was carried out based on the condition of fertility in Papua which is still high compared to national figures and the use of modern contraception tends to decrease according to several periods of Indonesian Demographic and Health Surveys (IDHS). The purpose of this study is to examine the relationship between social, economic, demographic factors and the proximate determinant of fertility in Papua. This study is a secondary data the 2017 IDHS, analysis using descriptive and multivariate with multiple logistic regression test. The results show that Papuan women’s education has a dominant effect on the duration of marriage and the use of contraception. The higher education level will likely increase the use of contraception and the length of marriage. This can be used as a foothold in the planning and implementation of population control programs, in this case, is the regulation and restrictions on future births. Birth control programs through the Population, Family Planning, and Family Development Program need to synergize with other government programs, especially with the Education Program for Papuan women in planning, implementing, monitoring, and evaluating programs of course. An approach to traditional leaders is needed since customs and traditions greatly affect all aspects of Papuan people’s lives. The traditional leader’s advice and suggestions are very well heard by people. The traditional leader’s communication, information dissemination, and education to program targets really need to be strengthened. This method is certainly implemented by all levels of the program area, but especially in the field lines that are very close to the target.


Keywords


fertility; Papua; married woman; Family Planning

Full Text:

PDF


References

Aggarwal, R. & Ranganathan, P. 2019. Study designs: Part 2 - Descriptive studies. Perspectives in Clinical Research, 10(1), 34–36. https://doi.org/10.4103/picr. PICR_154_18.

Ahmed Shallo, S. 2020. Roles of Proximate Determinants of Fertility in Recent Fertility Decline in Ethiopia: Application of the Revised Bongaarts Model. Open Access Journal of Contraception, Volume 11, 33 – 41. https://doi.org/10.2147/oajc. s251693.

Ariho, P., Kabagenyi, A., & Nzabona, A. 2018. Determinants of change in fertility pattern among women in Uganda during the period 2006–2011. Fertility Research and Practice, 4(1), 1–11. https://doi. org/10.1186/s40738-018-0049-1.

Arsyad, S. S., & Nurhayati, S. 2016. Determinan Fertilitas Di Indonesia (Determinant of Fertility in Indonesia). Kependudukan Indonesia, 11(1), 1–14.

http://ejurnal.kependudukan.lipi.go.id/index.php/jki/article/download/65/96.

Bongaarts. 1978a. A Framework for Analyzing the Proximate Determinants of Fertility. Population and Development Review, 4 (1),10.

Bongaarts, J. 1978b. A Framework for Analyzing the Proximate Determinants of Fertility. Population and Development Review, 4(1), 105–132.

Bongaarts, J. 2015. Modeling the fertility impact of the proximate determinants: Time for a tune-up. Demographic Research, 33(1), 535–560. https://doi. org/10.4054/DemRes.2015.33.19.

Bongaarts, J., & Potter, R. G. 198). Fertility, Biology, and Behavior: An Analysis of The Proximate Determinants. Academic Press, Inc.

BPS, BKKBN, Kemenkes, & ICF International. 2018. Survei Demografi dan Kesehatan Indonesia 2017: Provinsi DKI Jakarta. BPS, BKKBN, Kemenkes, dan ICF International.

Chemhaka, G. B., & Odimegwu, C. O. 2019. The proximate determinants of fertility in Eswatini. African Journal of Reproductive Health, 23(2), 65–75. https://doi. org/10.29063/ajrh2019/v23i2.7.

Davis, K., & Blake, J. 1956. Social Structure and Fertility : An Analytic Framework. Economic Development and Cultural Change, 4(3), 211–235.

Finlay, J. E., Mejía-Guevara, I., & Akachi, Y. 2018. Inequality in total fertility rates and the proximate determinants of fertility in 21 sub-Saharan African countries. PLoS ONE, 13(9), 1–16. https://doi.org/10.1371/ journal.pone.0203344.

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), 8–17. http://www.aiscience.org/journal/ijmcs.

Laelago, T., Habtu, Y., & Yohannes, S. 2019. Proximate determinants of fertility in Ethiopia; An application of revised Bongaarts model. Reproductive Health, 16(1), 1–9. https://doi.org/10.1186/ s12978-019-0677-x.

Lailulo, Y. A., & Sathiya Susuman, A. 2018. Proximate Determinants of Fertility in Ethiopia: Comparative Analysis of the 2005 and 2011 DHS. Journal of Asian and African Studies, 53(5), 733–748. https:// doi.org/10.1177/0021909617722373.

Nasir, Jamal Abdul; Hinde, Andrew; 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), 799–817.

Robert Ho. 2006. Handbook of Univariate and Multivariate Data Analysis and Interpretation With SPSS.

Rogers, E., & Stephenson, R. 2018. EXAMINING TEMPORAL SHIFTS in the PROXIMATE DETERMINANTS of FERTILITY in LOW- and MIDDLE- INCOME COUNTRIES. Journal of Biosocial Science, 50(4), 551– 568. https:// doi.org/10.1017/S0021932017000529.

Samosir, O. B. 1994. Contraceptive Use in Indonesia. Dissertation at Department of Social Statistics Faculty of Social Sciences University of Southampton.

Semahegn, A., Torpey, K., Manu, A., Assefa, N., & Ankomah, 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), 1–10.

Tey NP, Ng ST, Y. S. 2012. Proximate determinants of fertility in peninsular Malaysia. Asia Pac J Public Health, 24(3), 495–505. https://doi.org/https:// doi.org/10.1177/1010539511401374.



DOI: https://doi.org/10.22146/jp.75800

Article Metrics

Abstract views : 2090 | views : 1682

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Populasi

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


Copyright of Jurnal Populasi ISSN 0853-6202 (PRINT), ISSN: 2476-941X (ONLINE).


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

 

Populasi Indexed by:

  ROAD  

web
analytics View My Stats