Study on factors relating to policies to support pregnancy and the middle-income Generation-Y women’s decisions to have children in Bangkok and its vicinities
Keywords:
สังคมผู้สูงอายุ นโยบายการเกิด เจนวาย กลุ่มรายได้ปานกลาง, Ageing Society, Fertility Policy, Generation-Y, Middle-Income EarnerAbstract
This article is based on the study of the relationships among factors relating to policies to support pregnancy and the middle-income Generation-Y women’s decisions to have children in Bangkok and its vicinities. The purpose of this study is to explore the influences on factors relating to policies to support pregnancy and the impacts such policies has on how many children middle-income Generation-Y women in Bangkok and its vicinities wish to have as follows: 1) expenses for pre-natal care as well as delivery of the baby; 2) maternal leave rights; 3) tax deduction rights; 4) education-related expenses for the child; 5) medical expenses and protection against diseases for the child; and 6) funds to support the child. Based on the study, there is no statistically significant relationships among variables 1 to 5. As for the factor that was statistically significant, if the Government wishes the study group to have two and three children, funds to support the child would need to increase to 11,240.74 Thai baht and 29,759.26 Thai baht per month respectively. Regarding the boost to the birth rate, policymakers should introduce policies whose characteristics include long-term and continuous benefits. This is because it will better stimulate the study group of this policy rather than providing benefits on a case-by-case basis. In addition, if policymakers are unable to find ways to increase the earnings for the study group, the policymakers should attempt to explore ways to reduce the expenses that emanate from having a child as such expenses amount to one-third of a mother’s total earnings.
References
Cai, Y. (2010). China's below- replacement fertility government policy or socioeconomic development? Population and development review, 36(3), 419-440. doi:10.1111/j.1728-4457.2010.00341.x
Chen, D. (2011). Can countries reverse fertility decline? Evidence from France’s marriage and baby bonuses, 1929–1981. International Tax and Public Finance, 18(3), 253-272. doi:10.1007/s10797-010-9156-6
Christoph, B. (2008). On the structural value of children and its implication on intended fertility in Bulgaria. Demographic Research, 18, 20.
Cigno, A. (1986). Fertility and the tax- benefit system: a reconsideration of the theory of family taxation. Economic Journal, 96, 1035.
Davia, M. A., & Legazpe, N. (2014). The Role of Education in Fertility and Female Employment in Spain: A Simultaneous Approach. Journal of Family Issues, 35(14), 1898-1925. doi:10.1177/0192513X13490932
Day, R. H. (1971). Rational choice and economic behavior. Theory and Decision, 1(3), 229-251. doi:10.1007/bf00139569
Fehr, H., & Ujhelyiova, D. (2013). Fertility, Female Labor Supply, and Family Policy. German Economic Review, 14(2), 138-165. doi:10.1111/j.1468-0475.2012.00568.x
Fraser, C. D. (2001). Income Risk, the Tax- Benefit System and the Demand for Children. Economica, 68(269), 105-125.
Furtado, D. (2016). Fertility Responses of High-Skilled Native Women to Immigrant Inflows. Demography, 53(1), 27-53. doi:10.1007/s13524-015-0444-8
Goedele Van Den, B., & Miet, M. (2015). Female employment reduces fertility in rural Senegal. PLoS ONE, 10(3), e0122086. doi:10.1371/journal.pone.0122086
Haan, P., & Wrohlich, K. (2011). Can child care policy encourage employment and fertility?: Evidence from a structural model. Labour Economics, 18(4), 498-512. doi:10.1016/j.labeco.2010.12.008
Ishida, R., Oguro, K., & Takahata, J. (2015). Child benefit and fiscal burden in the endogenous fertility setting. Economic Modelling, 44(C), 252-265. doi:10.1016/j.econmod.2014.10.027
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Laroque, G., & Salanié, B. (2014). IDENTIFYING THE RESPONSE OF FERTILITY TO FINANCIAL INCENTIVES. Journal of Applied Econometrics, 29(2), 314-332. doi:10.1002/jae.2332
Liu, J., & Lummaa, V. (2019). Whether to have a second child or not? An integrative approach to women's reproductive decision-making in current China. Evolution and Human Behavior, 40(2), 194-203. doi:10.1016/j.evolhumbehav.2018.11.004
Masaya, Y. (2013). CAN CHILD-CARE SUPPORT POLICIES HALT DECREASING FERTILITY? International Journal of Economics and Financial Issues, 3(2), 409-419.
McNown, R., & Ridao-cano, C. (2004). The Effect of Child Benefit Policies on Fertility and Female Labor Force Participation in Canada. Review of Economics of the Household, 2(3), 237-254. doi:10.1007/s11150-004-5646-6
Office of the National Economic and Social Development Board. (1966). The direction of the eleventh national economic and social development plan (1967-1971). Retrieved from http://www.nesdb.go.th/ewt_dl_link.php?nid=3777
Prifti, E., & Vuri, D. (2013). Employment protection and fertility: Evidence from the 1990 Italian reform. Labour Economics, 23(C), 77-88. doi:10.1016/j.labeco.2013.04.003
Raymo, J., & Shibata, A. (2017). Unemployment, Nonstandard Employment, and Fertility: Insights From Japan’s “Lost 20 Years”. Demography, 54(6), 2301-2329. doi:10.1007/s13524-017-0614-y
Ridao-Cano, C., & McNown, R. (2005). The effect of tax- benefit policies on fertility and female labor force participation in the United States. Journal of Policy Modeling, 27(9), 1083-1096. doi:10.1016/j.jpolmod.2005.07.001
Snopkowski, K., & Sear, R. (2012). Kin influences on fertility in Thailand: Effects and mechanisms. Evolution and Human Behavior, 34(2). doi:10.1016/j.evolhumbehav.2012.11.004
Strategy and Evaluation Department, Bangkok Metropolitan Administration. (2016). Statistical Profile of Bangkok Metropolitan Administration 2016. Bangkok: Religious Affairs Printing Press Office of National Buddhism.
The Japan Times. (2019a). Jetstar Japan to cancel 70 flights in June due to pilot shortage. Retrieved from https://www.japantimes.co.jp/news/2019/06/04/national/jetstar-japan-cancel-70-flights-june-due-pilot-shortage
The Japan Times. (2019b). Seven-Eleven Japan to test shorter operating hours at 10 corporate-run stores. Retrieved from https://www.japantimes.co.jp/news/2019/03/02/business/seven-eleven-japan-test-shorter-operating-hours-10-corporate-run-stores
United Nations, Department of Economic and Social Affairs, Population Division. (2002). World population ageing, 1950-2050. New York: United Nations.
United Nations, Department of Economic and Social Affairs, Population Division. (2013). World Population Ageing 2013. New York: The United Nations.
World Bank. (2018). Fertility rate, total (births per woman). Retrieved from https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=TH&name_desc=true
World Bank. (2018). Fertility rate, total (births per woman). Retrieved from https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=TH&name_desc=true
Zabin, L. S. (1983). The effect of administration family planning policy on maternal and child health. Journal of public health policy, 4(3), 268. doi:10.2307/3342109
Zhang, J., Quan, J., & Van Meerbergen, P. (1994). The Effect of Tax- Transfer Policies on Fertility in Canada, 1921-88. The Journal of Human Resources, 29(1), 181-201. doi:10.2307/146061
Zhao, S., & Gao, Y. (2014). Can adjustments of china's family planning policy truly relieve pressures arising from population aging? International Journal of China Studies, 5(3), 657-680.
กรมกิจการผู้สูงอายุ. (2018). สถิติผู้สูงอายุ ปี 2560. Retrieved from http://www.dop.go.th/th/know/1/125
สำนักงานสถิติแห่งชาติ. (2018). การสำรวจภาวะเศรษฐกิจและสังคมของครัวเรือน พ.ศ. 2560 กรุงเทพมหานคร นนทบุรี ปทุมธานี และสมุทรปราการ. กรุงเทพมหานคร: กองสถิติประชากร สำนักงานสถิติแห่งชาติ.
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