THE RELATIONSHIP BETWEEN SOCIOECONOMIC FACTORS WITH FERTILITY RATE IN MALAYSIA
DOI:
https://doi.org/10.24191/mjoc.v7i2.18841Keywords:
ARDL, Fertility Rate, Female Labor Participation and Household IncomeAbstract
The issue of an ageing population is on the rise globally, and Malaysia is not excluded from facing this issue. Past literature has recognized that the declining fertility rate is one of the main factors that lead to this problem. However, along with the declining fertility rate in Malaysia over time, there are also changes in social and economic factors such as increment in female labor participation, higher house income and consumption expenditure, increasing inflation and changes in the demographic of the population. The study has become a concern since these factors could affect the declining fertility rate. Hence, this study is conducted (1) to analyze the significant socioeconomic factors that affected fertility rate decline in Malaysia; (2) to investigate the short-run and long-run relationship between socioeconomic factors and fertility rates in Malaysia; and (3) to determine the direction of the causal relationship between each of the socioeconomic factors and fertility rates in Malaysia. The Autoregressive Distributed Lag (ARDL) model was conducted for the first and second objectives, while the Granger Causality test was conducted for the third objective. The research is conducted to investigate the stated relationship between the period in the year 1982 to 2019. It can be concluded that income, household consumption expenditure and the female labor force are related to fertility in the short and long run. At the same time, inflation and population ethnicity are only related in the long run.
References
Awad, A., & Yussof, I. (2017). Factors Affecting Fertility New Evidence from Malaysia. Bulletin of Geography, 36(36), 7–20. https://doi.org/10.1515/bog-2017-0011
Chandiok, K., Mondal, P. R., Mahajan, C., & Saraswathy, K. N. (2016). Biological and Social Determinants of Fertility Behaviour among the Jat Women of Haryana State, India . Journal of Anthropology, 2016, 1–6. https://doi.org/10.1155/2016/5463168
Filoso, V., & Papagni, E. (2015). Fertility choice and financial development. European Journal of Political Economy, 37, 160–177. https://doi.org/10.1016/j.ejpoleco.2014.11.004
Galloway, T. A., & Hart, R. K. (2015). Effects of income and the cost of children on fertility. Quasi-experimental evidence from Norway. Statistics Norway Research department Discussion Papers No. 828, 1–48.
Gietel-Basten, S., & Scherbov, S. (2020). Exploring the ‘True Value’ of Replacement Rate Fertility. Population Research and Policy Review, 39(4), 763–772. https://doi.org/10.1007/s11113-019-09561-y
He, Q. (2018). Inflation and fertility in a Schumpeterian growth model: Theory and evidence. International Review of Economics and Finance, 58(January), 113–126. https://doi.org/10.1016/j.iref.2018.03.003
Idris, A. R., Habibullah, M. S., & Din, B. H. (2018). Does financial development contribute to fertility decline in Malaysia? An empirical investigation. Jurnal Ekonomi Malaysia, 52(1), 209–221. https://doi.org/10.17576/jem-2018-5201-16
Yenilmez, M. I. (2014). Economic and Social Consequences of Population Aging the Dilemmas and Opportunities in the Twenty-First Century. Applied Research in Quality of Life, 10(4), 735–752. https://doi.org/10.1007/s11482-014-9334-2
Istihak, R., Khaled, A., & Islam, M. S. (2018). Determinants of fertitlity rate decline in the South Asian countries: A panel data approach. International Journal of Development Research, 8(7), 21583–21589.
Kamaruddin, R., & M. Khalili, J. (2015). The Determinants of Household Fertility Decision in Malaysia ; An Econometric Analysis. Procedia Economics and Finance, 23(October 2014), 1308–1313. https://doi.org/10.1016/S2212-5671(15)00472-4
Khattak, S. W. (2019). Fertility determinants and economic uncertainty. FWU Journal of Social Sciences, 13(3), 46–56.
Logan, S., Gu, R., Li, W., Xiao, S., & Anazodo, A. (2019). Infertility in China: Culture, society and a need for fertility counselling. Asian PacificJournal of Reproduction, 8(1), 1–6. https://doi.org/10.4103/2305-0500.250416
Mat Ripin, N. H., Md Nor, N. N. F., & Hassan, F. (2020). Kajian kualiti hidup dan fertiliti dalam kalangan kakitangan awam di Kota Bharu. Malaysian Journal of Society and Space, 3(3), 235–246.
Odimegwu, C. O., & Adewoyin, Y. (2020). Ethnic fertility behavior and internal migration in Nigeria: revisiting the migrant fertility hypotheses. Genus, 76(1). https://doi.org/10.1186/s41118-020-00073-8
Pham, T. N., & Vo, D. H. (2021). Aging Population and Economic Growth in Developing Countries: A Quantile Regression Approach. Emerging Markets Finance and Trade, 57(1), 108–122. https://doi.org/10.1080/1540496X.2019.1698418
Rindfuss, R. R., Gulkey, D. K., Morgan, S. P., & KRavdal, O. (2010). Child-Care Availability and Fertility in Norway. Population and Development Review, 36(4):725-748
Rindfuss, R. R., & Choe, M. K. (2015). Low and Lower Fertility. Low and Lower Fertility, 1–13. https://doi.org/10.1007/978-3-319-21482-5
Sethi, N., Jena, N. R., & Loganathan, N. (2021). Does financial development influence fertility rate in South Asian economies? An empirical insight. Business Strategy and Development, 4(2), 94–108. https://doi.org/10.1002/bsd2.131
Shrestha, M. B., & Bhatta, G. R. (2018). Selecting appropriate methodological framework for time series data analysis. Journal of Finance and DataScience, 4(2), 71–89. https://doi.org/10.1016/j.jfds.2017.11.001
Subramaniam, G., & Mohd Saleh, N. (2016). Does Work Environment Impact Fertility Rate?A Comparison between Formal and Informal Sectors in Malaysia. Journal of EmergingEconomies and Islamic Research, 4(1), 46. https://doi.org/10.24191/jeeir.v4i1.9078
Tang, C. F., & Tey, N. P. (2017). Low fertility in Malaysia: Can it be explained? Journal of Population Research, 34(2), 101–118. https://doi.org/10.1007/s12546-017-9187-2
Tey, N. P. (2020). Bracing for Low Fertility in Malaysia. ISEAS Yusof Ishak Institute, 28(28), 1–11. http://hdl.handle.net/11540/11852
Vollset, S. E., Goren, E., Yuan, C. W., Cao, J., Smith, A. E., Hsiao, T., Bisignano, C., Azhar, G. S., Castro, E., Chalek, J., Dolgert, A. J., Frank, T., Fukutaki, K., Hay, S. I., Lozano, R., Mokdad, A. H., Nandakumar, V., Pierce, M., Pletcher, M., & Murray, C. J. L. (2020). Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study. The Lancet, 396(10258), 1285–1306. https://doi.org/10.1016/S0140-6736(20)30677-2
World Bank Data (2020). Retrieved form https://data.worldbank.org/.
Yusuf, M. M (2012) Women and Pensions in Malaysia: Assessing the Impacts of Disruptions in Working Life. University of Southampton.
Zakaria, M., Fida, B. A., Janjua, S. Y., & Shahzad, S. J. H. (2017). Fertility and Financial Development in South Asia. Social Indicators Research, 133(2), 645–668. https://doi.org/10.1007/s11205-016-1382-6.
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