Cost-effectiveness with Optimal Strategies for Enhancing Population Birth Rate Trends in Japan

Pulak Kundu, Uzzwal Kumar Mallick

Abstract


Japan faces one of the major challenges as its declining birth rate and aging population threaten long-term demographic and economic stability. To address this challenge,  a mathematical model with optimal control has been formulated, employing awareness programs and incentives to maximize population growth at minimal policy costs. Along with analyzing the model’s positivity, boundedness, existence of a unique solution, and stability at equilibrium points, the optimal control was characterized using Pontryagin’s Maximum Principle. Using the forward-backward sweep method, the numerical simulation demonstrated that the objective is maximized by applying awareness programs and incentives at full capacity until 2042 and 2046, respectively, before gradually reducing them. Then, a cost-effectiveness analysis was conducted to determine the most efficient approach, revealing that awareness programs are more cost-effective than the alternative strategy. Therefore, the findings of this study provide valuable guidance for policymakers to develop practical, cost-effective strategies that address Japan’s demographic challenges and promote sustainable population growth for society.


Keywords


Awarness program; Aging people; Cost efficiency; Fertility rate; Incentives; Workaholism.

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References


IFO and Sakura Institute of Research, “A Comparative Analysis of Japanese and German Economic Success“, 1st ed., ser. Springer Book Archive. Springer Tokyo, 1997, ISBN 978-4-431-65867-2. DOI:10.1007/978-4-431-65865-8

K. Ohno, The History of Japanese Economic Development: Origins of Private Dynamism and Policy Competence, 1st ed. London: Routledge, 2017. DOI:10.4324/9781315444048

G. Nargund, “Declining birth rate in developed countries: A radical policy re-think is required,” Facts, Views & Vision in ObGyn, vol. 1, no. 3, pp. 191–193, 2009.

nippon.com., “Japan’s fertility rate drops to new record low,“ https://www.nippon.com/en/japan-data/h02015/, Accessed on March 14 2025.

E. Yokoyama, “Japan records fewest births on record, deepening demographic crisis,“ 2025, https://www.japantimes.co.jp/news/2025/02/27/japan/fewest-births-new-record/, Accessed on March 14 2025.

ALJazeera, “Japan’s elderly population rises to record 36.25 million,“ 2024, https://www.aljazeera.com/economy/2024/9/16/japans-elderly-population-rises-to-record-36-25-million, Accessed on March 14 2025.

M. Yamaguchi. “Japan’s birth rate fell for a ninth consecutive year in 2024 to hit a record low,“ 2025, https://apnews.com/article/japan-births-children-population-decline-marriage-37c1a83afb9f90c6ce6affd527829826, Accessed on March 14 2025.

K. Alexander, “The demographic deficit: National security challenges for japan and south korea,“ 2024, https://www.isdp.eu/the-demographic-deficit-national-security-challenges-for-japan-and-south-korea/, Accessed on March 14 2025.

S. I. Fukuda and K. Okumura, “The aging society, savings rates, and regional flow of funds in japan,” Journal of the Japanese and International Economies, vol. 62, p. 101165, 2021. DOI:10.1016/j.jjie.2021.101165

H. Faruqee and M. Mühleisen , “Population aging in japan: Demographic shock and fiscal sustainability,” Japan and the World Economy, vol. 15, no. 2, pp. 185–210, 2003. DOI:10.1016/S0922-1425(02)00017-8

H. Arai et al., “Japan as the front-runner of super-aged societies: Perspectives from medicine and medical care in japan,” Geriatrics & Gerontology International, vol. 15, no. 6, pp. 673–687, 2015. DOI:10.1111/ggi.12450

M. Rahman, “All initiatives of the japanese government to increase the population,“ 2023, https://bangla.thedailystar.net/abroad/news-440531, Accessed on March 10 2025.

A. Mahdy, N. Sweilam, and M. Khader, “Numerical simulation for the fractional sirc model and influenza a,“ Applied Mathematics & Information Sciences An International Journal, vol. 8, no. 3, pp. 1–8, 2014. DOI:10.12785/amis/080311

F. Akbar and Mardlijah, “Optimizing algal bloom through bioenzyme and harvesting control for bioenergy purposes in eutrophic water bodies,” Jambura Journal of Biomathematics, vol. 5, no. 2, pp. 109–115, 2024. DOI:10.37905/jjbm.v5i2.26938

P. Luis et al., “Implementation of non-standard finite difference on a predator-prey model considering cannibalism on predator and harvesting on prey,” Jambura Journal of Biomathematics, vol. 6, no. 1, pp. 35–43, 2025. DOI:10.37905/jjbm.v6i1.30550

T. P. Blante, Jaharuddin, and E. H. Nugrahani, “Sensitivity analysis of si1i2rs model for dengue fever transmission,” Jambura Journal of Biomathematics, vol. 5, no. 1, pp. 19–26, 2024. DOI:10.37905/jjbm.v5i1.23132

R. Oizumi et al., “Sensitivity analysis on the declining population in japan: Effects of prefecture-specific fertility and interregional migration,” PloS One, vol. 17, no. 9, p. e0273817, 2022. DOI:10.1371/journal.pone.0273817

M. Oliver, “Population aging and immigration: Evidence from japan,” International Journal of Population Studies, vol. 9, no. 1, pp. 18–29, 2023. DOI:10.36922/ijps.407

P. Kundu and U. K. Mallick, “Mathematical modeling and analysis on the population birth rate trends in japan,” Journal of Mathematics, vol. 2024, no. 1, p. 2246763, 2024. DOI:10.1155/jom/2246763

T. Inoue and N. Inoue, “The future process of japan’s population aging: A cluster analysis using small area population projection data,” Population Research and Policy Review, vol. 43, p. 58, 2024. DOI:10.1007/s11113-024-09903-5

F. Respatiadi, M. Jalaluddin, and A. Munandar, “Strategy for overcoming population growth problems in japan,” Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan, vol. 18, no. 03, pp. 1978–1996, 2024. DOI:10.35931/aq.v18i3.3498

S. Kim, Y. Lee, and H. Oh, “Estimation of gridded population with spatial downscaling in south korea,” Sustainability, vol. 17, no. 4, p. 1511, 2025. DOI:10.3390/su17041511

P. Samui et al., “Impact of awareness in self–monitoring of covid-19: An optimal control approach,” Results in Control and Optimization, vol. 18, p. 100513, 2025. DOI:10.1016/j.rico.2024.100513

F. I. Igbo, K. Gossett, and D. Nattress, “Strategies for cost-effectiveness in sustainable quality healthcare delivery in emerging economies: The case of healthcare professionals development in south africa,” Healthcare, vol. 13, no. 1, p. 36, 2025. DOI:10.3390/healthcare13010036

W. Fleming and R. Rishel, Deterministic and Stochastic Optimal Control, 1st ed. Berlin: Springer-Verlag, 1975, ISBN 0387901558. DOI:10.1007/978-1-4612-6380-7

L. S. Pontryagin et al., Mathematical Theory of Optimal Processes, 4th ed. New York: Wiley-Interscience, 1962.

R. Vinter, Deterministic and Stochastic Optimal Control. Boston: Birkhauser, 2010, vol. 2, no. 1, ISBN 0387901558. DOI:10.1007/978-1-4612-6380-7

H. Anton, I. Bivens, and S. Davis, Calculus, 10th ed. United States of America: Wiley, 2012, chapter 13: Partial Derivatives.

S. Sowole et al., “On the existence, uniqueness, stability of solution and numerical simulations of a mathematical model for measles disease,” vol. 2019, pp. 84–111, 2019.

P. Kundu and U. K. Mallick, “Optimal control analysis of a mathematical model for guava nutrients in an integrated farming with cost-effectiveness,” Results in Control and Optimization, vol. 17, p. 100490, 2024. DOI:10.1016/j.rico.2024.100490

M. A. Omoloye and S. O. Adewale, “Mathematical analysis of sensitive parameters on the dynamical transmission of ebola-malaria coinfections,” International Journal of Computer Science and Information Security (IJCSIS), vol. 19, no. 7, pp. 21–45, 2021.

S. Lenhart and J. T. Workman, Optimal Control Applied to Biological Models, 1st ed. New York: Taylor and Francies Group, 2007. ISBN 9780429138058

The World Counts, “Population of japan,“ https://www.theworldcounts.com/populations/countries/japan, Accessed on March 14 2025

A. Kouidere, O. Balatif, and M. Rachik, “Cost-effectiveness of a mathematical modeling with optimal control approach of spread of covid-19 pandemic: A case study in peru,” Chaos, Solitons & Fractals: X, vol. 10, p. 100090, 2023. DOI:10.1016/j.csfx.2022.100090

A. Venkatesh and M. A. Rao, “Mathematical model for covid-19 pandemic with implementation of intervention strategies and cost-effectiveness analysis,” Results in Control and Optimization, vol. 14, p. 100345, 2024. DOI:10.1016/j.rico.2023.100345

Z. Chazuka, C. E. Madubueze, and D. Mathebula, “Modelling and analysis of an hiv model with control strategies and cost-effectiveness,” Results in Control and Optimization, vol. 14, p. 100355, 2024. DOI:10.1016/j.rico.2023.100355

S. Al-Shanfari et al., “Mathematical analysis and optimal control of cholera–malaria co-infection model,” Results in Control and Optimization, vol. 14, p. 100393, 2024. DOI:10.1016/j.rico.2024.100393




DOI: https://doi.org/10.37905/jjbm.v6i2.30983

Copyright (c) 2025 Pulak Kundu, Uzzwal Kumar Mallick

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