ANALYSIS OF THE INFLUENCE OF SOCIAL AND ECONOMIC FACTORS ON THE USE OF CONTRACEPTION AND FERTILITY IN KUTA DISTRICT
Keywords:
Education, Income, Migration, Gender Preference, Contraception, Fertility.Abstract
The population problem is a problem faced by almost all developing countries in the world, including Indonesia, which is the country with the fourth largest population in the world after India, China and the United States. The objectives of this research are 1) Analyzing the direct influence of education level, income, migration status and gender preference on the duration of contraceptive use, 2) Analyzing the direct influence of education level, income, migration status and gender preference on the number of children born alive, and 3) Analyze the indirect influence of education level, income, migration status and gender preference on the number of children born alive through the duration of contraceptive use. This research was conducted in Kuta District. The respondents in this study were 121 EFA samples using a non-probability sampling method. Data analysis techniques use descriptive statistical analysis techniques, path analysis, direct influence testing and indirect influence testing. The research results showed that 1) education level, income level and migration status had a positive and significant effect on the length of use of contraceptives while they had a negative and significant effect on the number of children born alive, 2) gender preference had a negative and significant effect on the length of use of contraceptives while has a positive effect on the duration of contraceptive use, 3) the duration of contraceptive use has a negative and significant effect on the number of children born alive, and 4) education level, income level, migration status and gender preference have an indirect effect on the number of children born alive through duration of use of contraceptives.
References
Abassi, Z., Keshavarz, Z., Abbasi-Shavazi, M.J., Ebadi, A., & Esmaily, H. (2018). Factors influencing women's sex preferences in multiethnic society in North Khorasan Province, Iran. Electronic Physician, 10(7), 7063.
Adioetomo, SM and Samosir OB (2010). Demographic Basics. Fourth Edition of Salemba, Jakarta.
Agustia, T., Harlen, H., & Rahmita, R. (2018). The Socioeconomic Influence of Wives on Fertility Levels in Pekanbaru City. Student Online Journal (JOM) in the Field of Economics, 1(1), 1-11.
Ahmad, Nisar, Ayesha Akram, and Haroon Hussain. (2013). Determinants of Internal Migration in Pakistan. Journal of Commerce, 5(3): 32-42.
Anjani, NKP, & Marhaeni, AAIN (2023). Analysis of factors that influence the length of use of contraceptives.Udayana University Economics and Business E-Journal.
National Population and Family Planning Agency (BKKBN). (2024). Number of Couples of Childbearing Age by Village/Subdistrict in Kuta District in 2022 and 2023. BKKBN Office. Bali.
Central Bureau of Statistics. (2024). Badung Regency in Figures 2024. BPS Badung Regency.
Central Bureau of Statistics. (2020). Bali Province in Figures 2024. BPS Bali Province.
Central Bureau of Statistics. (2024). Bali Province in Figures 2024. BPS Bali Province.
Central Bureau of Statistics. (2024). Indonesian Statistics 2024. Jakarta
Berger, P.D., & Nasr, N.I. (1998). Customer Lifetime Value: Marketing Models and Applications. Journal of Interactive Marketing,12(1) pp:17-30.
Bolarinwa, O.A., & Olagunju, O.S. (2019). Knowledge and factors influencing long-acting reversible contraceptives use among women of reproductive age in Nigeria. Gates Open Research, 3.
Bwalya, BB, Kasonde, ME, Mulenga, JN, Mapoma, CC, Wamunyima, N., Siamianze, B., & Onukogu, O. (2023). The association between contraceptive use and desired number of children among sexually active men in Zambia. BMC Public Health, 23(1), 1833.
Cahyani, NPW, & Sudibia, IK (2020). FACTORS AFFECTING THE NUMBER OF BIRTH IN JIMBARAN, SOUTH KUTA, BADUNG.
Chattopadhyay, A., White, M. J., & Debpuur, C. (2006). Migrant fertility in Ghana: Selection versus adaptation and disruption as causal mechanisms. Population studies, 60(2), 189-203.
Davis, Kingsley and Judith Blake. (1956). The Social Structure of Fertility. Vol.4. April.
Delvaux, T., & Nöstlinger, C. (2007). Reproductive choices for women and men living with HIV: contraception, abortion and fertility. Reproductive health matters, 15(29), 46-66.
Dewi, IAMPD, & Marhaeni, MAAIN (2023). Determinants of Fertility of Formal Sector Female Workers in South Denpasar District.Udayana University Economics and Business E-Journal.
Dewi, PHC, & Notobroto, HB (2014). Low participation of users of long-acting contraceptive methods among couples of childbearing age. Journal of Biometrics and Population, 3(1), 66-72.
Badung District Health Service. (2022). Badung Regency Health Profile for 2022. Badung: Badung Regency Health Service.
Fajri, A., Amar, S., Triani, M. (2019). Factor Analysis of the Number of Live Born Babies in West Sumatra. Journal of Economic and Development Studies. 1(1) pp. 197-212.
Fitri, A., Trisnaningsih, T., & Suwarni, N. (2016). Relationship between educational level of contraceptive use and the number of children born to EFA women. Journal of Geography Research (JPG), 4(3).
Freedman, R. (1975). The Sociology of Human Fertility. Irvington, New York.
Hadmadji, Sri Harjati. (2004). Demographic Basics. Jakarta. LPFE-UI.
Handiyatmo. 2011. International Migration of Indonesian Population. Jakarta: BPS Indonesia.
Hanifah, L., Asyik, B., & Zulkarnain, Z. (2014). Influence of Education, Occupation, Age at First Marriage, Use of Contraception on Number of Children. (Doctoral dissertation, Lampung University).
Hanum, N., Andiny, P. (2018). The Influence of Education Level, Age of First Marriage and Infant Mortality on Fertility in East Aceh Regency. Samudra Journal of Economics and Business. 9 (2) p. 160 – 170.
Harahap, L.J. (2022). Number of Children (Fertility) of Couples of Childbearing Age (PUS). PT Innovation Pratama Internasional.
Harnawatiajh, E. (2009). Understanding Contraception in Adolescents. Journal of Nursing, 1(2), 69-75.
Hidayat, M., Rangkuty, DM, & Syafitri, B. (2022). Determination of Fertility Rate between Districts/Cities in Riau Province. International Journal of Research and Reviews, 9(1), 714–721.
Hussain, N.E., Abdullah, N., & Abdullah, H. (2014). The relationship between rural-urban migration, household income and unemployment: Malaysia case study. International Journal of Managerial Studies and Research (IJMSR), 2(8), 17-24.
Iandira, F., & Tisnawati, N.M. (2024). Analysis of factors influencing fertility through the use of contraceptives in West Denpasar District. Scientific Journal of Educational Vehicles, 10(6), 358-368.
Imrey, R., Ghosh, S., Narvekar, N., Vigneswaran, K., Wang, Y., & Savvas, M. (2021). Socioeconomic status and fertility treatment outcomes in high-income countries: a review of the current literature. Human Fertility. VOL. 26, NO. 1, 27–37.
Indahwati, L., Wati, LR, & Wulandari, DT (2017). Maternal Characteristics (Age, Parity, Education, Family Planning Experience) Are Associated with Choice of Contraceptive Method. Journal of issues in Midwifery, 1(2), 9-18.
Iswarati. (2009). Proximate Determinant of Fertility in Indonesia. National Family Planning and Family Planning Research and Development Center.www.bkkbn.go.id
Jeon, S., Lee, M., & Kim, S. (2021). Factors influencing fertility intentions of newlyweds in South Korea: focus on demographics, socioeconomics, housing situation, residential satisfaction, and housing expectations. Sustainability, 13(3), 1534.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE © 2023 by Adisam Publisher is licensed under CC BY-SA 4.0
