The Analysis of the Determinants of Fertility in Thailand

Main Article Content

Sasipen Bhuvapanich

Abstract

Thailand’s total fertility rate has continuously declined over the past decades due to population policies aimed at reducing the population growth rate, along with social and economic developments that have shifted attitudes and individual behaviors toward childbearing. Below-replacement fertility levels and an increase in the median age of the population have led to changes in the country’s population size and structure. This study aims to investigate the relationship between socioeconomic factor-namely female unemployment, male unemployment, and urbanization-and the fertility rate in Thailand. The study uses the Autoregressive Distributed Lag model on time series data covering the period from 1991 to 2022. The results show that female unemployment, male unemployment, and urbanization are factors that affect the fertility rate. Female unemployment has a positive effect on motherhood transitions because unemployment lowers the opportunity cost of childbearing, potentially increasing desired fertility. Among men, the unemployment–fertility relationship is mainly negative due to income effects. Urbanization is linked to a long-term fertility decline.

Article Details

How to Cite
Bhuvapanich, . S. . (2025). The Analysis of the Determinants of Fertility in Thailand. University of the Thai Chamber of Commerce Journal Humanities and Social Sciences, 45(1), 113–132. retrieved from https://so06.tci-thaijo.org/index.php/utccjournalhs/article/view/278126
Section
Research Articles

References

Ahn, N., & Mira, P. (2002). A note on the changing relationship between fertility and female employment rates in developed countries. Journal of Population Economics, 15(4), 667-682. https://doi.org/10.1007/s001480100078

Aksoy, C. G. (2016). The Effects of Unemployment on Fertility: Evidence from England. The B.E. Journal of Economic Analysis & Policy, 16(2), 1123-1146. https://doi.org/doi:10.1515/bejeap-2014-0127

Becker, G. S. (1960). An economic analysis of fertility. In Universities-National Bureau Committee for Economic Research (Ed.). Demographic and economic change in developed countries (pp. 209-240). Columbia University Press.

Becker, G. S., & Lewis, H. G. (1973). On the Interaction between the Quantity and Quality of Children. Journal of Political Economy, 81(2), S279-S288. http://www.jstor.org/stable/1840425

Benassi, F., & Carella, M. (2023). Modelling geographical variations in fertility and population density of Italian and foreign populations at the local scale: a spatial Durbin approach for Italy (2002–2018). Quality & Quantity, 57(3), 2147-2164. https://doi.org/10.1007/s11135-022-01446-1

Bloom, D. E., Canning, D., Fink, G., & Finlay, J. E. (2009). Fertility, female labor force participation, and the demographic dividend. Journal of Economic Growth, 14(2), 79-101. https://doi.org/10.1007/s10887-009-9039-9

Bloom, D., Canning, D., & Sevilla, J. (2001). Economic growth and the demographic transition (NBER Working Paper 8685). National Bureau of Economic Research. DOI: 10.3386/w8685

Brand, J. E. (2015). The far-reaching impact of job loss and unemployment. Annual Review of Sociology, 41, 359–375. https://doi.org/10.1146/annurev-soc-071913-043237

Chuenban, M., & Punyasavatsut, A. (2022) The analysis of factors influencing fertility in Thai population. In The 60th Kasetsart University Annual Conference: Education, Economics and Business Administration, Humanities and Social Sciences. (pp. 176-183). Kasetsart University. [in Thai]

Demographic indicators. (2024). UNESCAP. https://www.population-trends-asiapacific.org/data/THA

Eagly, A. H., Wood, W., & Diekman, A. B. (2012). Social role theory of sex differences and similarities: A current appraisal. In T. Eckes, & H. M. Trautner (Eds.), The developmental social psychology of gender (pp. 123-174). Psychology Press.

Easterlin, R. (1978). 2. The Economics and Sociology of Fertility: A Synthesis. In Historical studies of changing fertility (pp. 57-134). Princeton University Press. https://doi.org/10.1515/9781400871452-003

Freedmand, R. (1963). Norms for family size in underdeveloped areas. Proceedings of the Royal Society Series B, 159(974), 220-245. https://doi.org/10.1098/rspb.1963.0074

Jemiluyi, O., & Jeke, L. (2023). A comparative assessment of the urbanization – Fertility nexus in most urbanized countries of Sub-Saharan Africa. Zagreb International Review of Economics & Business, 26(1), 165-183. https://doi.org/10.2478/zireb-2023-0008

Khattak, S. W. (2019), Fertility determinants and economic uncertainty. FWU Journal of Social Sciences, 13(3), 45-56. http://sbbwu.edu.pk/journal/FWU_Journal_Jan2020/4.%20Fertility%20Determinants%20and%20Economic%20Uncertainty.pdf

Koyuncu, J. Y. & Okşak, Y. (2022). Does higher inflation mean lower fertility rate: The case of Turkey. Balkan Sosyal Bilimler Dergisi, 11(21), 7-14. https://dergipark.org.tr/en/pub/bsbd/issue/70989/1133322

Mahidol University, Institute for Population and Social Research (IPSR). (2022). Situation of the Thai older persons 2021. https://ipsr.mahidol.ac.th/post_research/situation-of-the-thai-older-persons-2021/ [in Thai]

Mincer, J. (1963). Market prices, opportunity costs, and income effects. In C. F. Christ (Ed.), Measurement in economics: Studies in mathematical economics and econometrics in memory of Yehuda Grunfeld (pp. 67-82). Standford University Press.

Nitnara, P., & Rittirong, J. (2016). Birth order and its determinants: The analysis of the 2010 Thai population census. Journal of Demography, 32(2), 26-44. DOI: 10.56808/2730-3934.1293 [in Thai]

The Office of the National Economic and Social Development Council (NESDC), Ministry of Public Health (MOPH), Ministry of Social Development and Human Security, Thailand Science Research and Innovation, & United Nations Population Fund. (2019). 25 years after the ICPD: Population and development for a sustainable future in Thailand. https://thailand.unfpa.org/en/25-years-ICPD

Pattarakijkusol, S., & NaRanong, A. (2021). Thailand institution factors influencing middle-income earning generation Y's fertility intentions. Journal of Demography, 37(1), 1-26. https://doi.org/10.58837/CHULA.JDM.37.1.1

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. https://www.jstor.org/stable/2678547

Saengtiancai, C. (1986). The study of birth interval using life table analysis approach. Journal of Demography, 1(2), 97-113. https://doi.org/10.56808/2730-3934.1355 [in Thai]

Schaller, J. (2015). Boom, busts, and fertility: Testing the Becker model using gender-specific labor demand. University of California–Davis.

Smuseneto, A. (2018). The culture of having children in Southern border provinces. Journal of Cultural Approach, 19(35), 3-15. https://so02.tci-thaijo.org/index.php/cultural_approach/article/view/123931 [in Thai]

Srithanaviboonchai, K., Moongtui, W., Panpanich, R., Suwanteerangkul, J., Chariyalertsak, S., Sangthong, R., Kessomboon, P.,

Putwattana, P., & Nontarak, J. (2014). Characteristics and determinants of Thailand's declining birth rate in women age 35 to 59 years old: Data from the fourth national health examination survey. Journal of the Medical Association of Thailand, 97(2), 225-231. [in Thai]

Subramaniam, T., Loganathan, N., & Devadason, E. (2018). Determinants of female fertility in Asean-5: Empirical evidence from Bounds cointegration test. The Singapore Economic Review, 63(3), 593-618. https://doi.org/10.1142/S0217590815500939

Tonekaew, P, & Choiejit, R. (2022). The factors affecting fertility rate in Thai female reproductive age. Rajapark Journal, 16(4), 200-217. https://so05.tci-thaijo.org/index.php/RJPJ/article/view/257966 [in Thai]

United Nations. (2024). World population prospects: The 2024 revision. Author.

Willis, R. J. (1973). A new approach to the economic theory of fertility behavior. Journal of Political Economy, 81(2), S14-S64. https://www.jstor.org/stable/1840411

Yu, W.-h., & Sun, S. (2018). Fertility responses to individual and contextual unemployment: Differences by socioeconomic background. Demographic Research, 39(35), 927-962. https://doi.org/10.4054/DemRes.2018.39.35