Linking fertility, female employment, and development to the sustainable development goals: Evidence from panel data

Öz

This study aims to investigate the causal relationship between socioeconomic indicators and fertility, with a particular focus on how female labor force participation, income, education, and human development interact with demographic trends. Maternal and child health indicators, as outlined within the United Nations Sustainable Development Goals (SDGs), serve as the conceptual foundation for this research. The analysis covers 15 countries, selected according to their development levels, using panel data from 2000 to 2020. The Dumitrescu and Hurlin panel Granger causality test was applied to examine the direction of causality between variables, including female labor force participation (LAB), gross domestic product (GDP), education (EDU), fertility (FRT), and the Human Development Index (HDI). The results reveal a unidirectional causal relationship running from HDI to FRT and from LAB to HDI. These findings suggest that human development plays an important role in shaping fertility dynamics, while female labor force participation contributes to broader human development outcomes. The relationship between demographic indicators and development appears to be multidimensional and influenced by socioeconomic and policy contexts. The findings highlight the need for policies that enhance women’s working conditions, expand their access to education, and strengthen their presence in economic life. Such measures are essential for achieving sustainable development outcomes and advancing gender equality. This study provides empirical evidence on the directional causal links between human development, labor participation, and fertility using a cross-country panel approach.

Anahtar Kelimeler

• Fertility
• employment
• human development index
• sustainable development goals
• Dumitrescu and Hurlin Granger causality test

Doğurganlığı, kadın istihdamını ve kalkınmayı sürdürülebilir kalkınma hedefleriyle ilişkilendirme: Panel verilerinden elde edilen kanıtlar

Öz

Bu çalışma, sosyoekonomik göstergeler ile doğurganlık arasındaki nedensel ilişkiyi araştırmayı amaçlamaktadır; özellikle kadın işgücüne katılımı, gelir, eğitim ve insani kalkınmanın demografik eğilimlerle nasıl etkileşimde bulunduğuna odaklanmaktadır. Birleşmiş Milletler Sürdürülebilir Kalkınma Amaçları (SKA) çerçevesinde belirtilen anne ve çocuk sağlığı göstergeleri, bu araştırmanın kavramsal temelini oluşturmaktadır. Analiz, 2000-2020 yılları arasındaki panel verilerini kullanarak, kalkınma düzeylerine göre seçilen 15 ülkeyi kapsamaktadır. Dumitrescu ve Hurlin panel Granger nedensellik testi, kadın işgücüne katılımı (LAB), gayri safi yurtiçi hasıla (GSYİH), eğitim (EDU), doğurganlık (FRT) ve İnsani Kalkınma Endeksi (HDI) dahil olmak üzere değişkenler arasındaki nedensellik yönünü incelemek için uygulanmıştır. Sonuçlar, HDI'den FRT'ye ve LAB'den HDI'ye doğru tek yönlü bir nedensellik olduğunu göstermektedir. Gelir, eğitim ve sağlık hizmetlerine erişimdeki artışlar, doğurganlık oranlarında azalmayla ilişkilidir. Kadınların işgücü piyasasına katılımının hem ekonomik büyümeye hem de toplumsal refaha olumlu katkıda bulunduğu görülmektedir. İnsan gelişimi, demografik göstergeler ve kadınların işgücüne katılımı arasındaki etkileşim dinamiktir ve politika çerçevelerinden etkilenir. Bulgular, kadınların çalışma koşullarını iyileştiren, eğitime erişimlerini genişleten ve ekonomik hayattaki varlıklarını güçlendiren politikalara duyulan ihtiyacı vurgulamaktadır. Bu tür önlemler, sürdürülebilir kalkınma sonuçlarına ulaşmak ve cinsiyet eşitliğini ilerletmek için elzemdir. Bu çalışma, ülkeler arası panel yaklaşımını kullanarak insan gelişimi, işgücüne katılım ve doğurganlık arasındaki yönlü nedensel bağlantılara ilişkin ampirik kanıtlar sunmaktadır.

Anahtar Kelimeler

• Doğurganlık
• istihdam
• insani gelişme endeksi
• sürdürülebilir kalkınma hedefleri
• Dumitrescu ve Hurlin Granger nedensellik testi

Kaynakça

1. [1]     Le Blanc D. “Towards integration at last? The sustainable development goals as a network of targets”. Sustainable Development, 23(3), 176-187, 2015.
2. [2]     Daher-Nashif S, Bawadi H. “Women’s health and well-being in the United Nations sustainable development goals: A narrative review of achievements and gaps in the Gulf states”. International Journal of Environmental Research and Public Health, 17(3), 1-8, 2020.
3. [3]     Carlsen, L, Bruggemann R. “The 17 United Nations’ sustainable development goals: A status by 2020”. International Journal of Sustainable Development & World Ecology, 29(3), 219-229, 2022.
4. [4]     Rodrigues DM, de Ávila I, Amorim LVC, Carneiro MM, Ferreira MCF. “Endometriosis fertility index predicts pregnancy in women operated on for moderate and severe symptomatic endometriosis”. Women & Health, 62(1), 3-11, 2022.
5. [5]     Chotchoungchatchai S, Marshall AI, Witthayapipopsakul W, Panichkriangkrai W, Patcharanarumol W, Tangcharoensathien V. “Primary health care and sustainable development goals”. Bulletin of the World Health Organization, 98(11), 792-800, 2020.
6. [6]     Huang YK, Chang YC. “Oral health: The first step to sustainable development goal 3”. Journal of the Formosan Medical Association, 121(7), 1348-1350, 2022.
7. [7]     Bonnet F, Vanek J, Chen M. Women and men in the informal economy: A statistical brief. Manchester, UK, WIEGO, 2019.
8. [8]     Mussida C, Patimo R. “Women’s family care responsibilities, employment and health: A tale of two countries”. Journal of Family and Economic Issues, 42(3), 489-507, 2021.

9. [9]     Vignoli, D, Minello A, Bazzani G, Matera C, Rapallini C. “Narratives of the Future Affect Fertility: Evidence from a Laboratory Experiment”. European journal of population=Revue europeenne de demographie, 38(1), 93-124, 2022.
10. [10]  Behrman J, Gonalons-Pons P. “Women’s employment and fertility in a global perspective (1960–2015)”. Demographic Research, 43, 707-744, 2020.
11. [11]  Demirhan E, Demirhan B. “The determinants of female labor force participation: Evidence from panel data in developing countries”. International Journal of Economics and Financial Issues, 7(2), 430-436, 2017.
12. [12]  Shittu WO, Abdullah A. “Fertility, education and female labour participation: Evidence from sub-Saharan Africa”. Cogent Economics & Finance, 7(1), 1699232, 2019.
13. [13]  Nazah MS, Duasa J, Arip MA. “Fertility and female labor force participation in Asian countries: A panel data analysis. International Journal of Economics and Management, 15(1), 1-12, 2021.
14. [14]  Hartani NH, Aznin N, Nawawi M. “The nexus between female labor force participation and fertility rate in ASEAN countries”. Journal of Applied Sciences, 15(3), 356-362, 2015.
15. [15]  Jha A, Kickbusch I, Taylor P, Abbasi K. “Accelerating achievement of the sustainable development goals”. BMJ, 352, 1-2, 2016.
16. [16]  Biermann F, Kanie N, Kim RE. “Global governance by goal-setting: The novel approach of the UN Sustainable Development Goals”. Current Opinion in Environmental Sustainability, 26, 26-31, 2017.
17. [17]  Sachs JD, Schmidt-Traub G, Mazzucato M, Messner D, Nakicenovic N, Rockström J. “Six transformations to achieve the sustainable development goals”. Nature Sustainability, 2(9), 805-814, 2019.
18. [18]  Mishra M, Desul S, Santos CAG, Mishra SK, Kamal AHM, Goswami S, et al. “A bibliometric analysis of sustainable development goals (SDGs): A review of progress, challenges, and opportunities”. Environment, Development and Sustainability, 26(5), 11101-11143, 2024.
19. [19]  Hackett L, Marquez-Padilla F. “Working for change: The effect of female labor force participation on fertility”. SSRN, 1-63, 2019.
20. [20]  Vignoli D, Tocchioni V, Mattei A. “The impact of job uncertainty on first-birth postponement”. Advances in Life Course Research, 45, 1-10, 2020.
21. [21]  Milovanović M. “The relationship between fertility and female participation in the labour force in OECD countries 2000–2020: It is (again) negative”. Central European Economic Journal, 10, 254-274, 2023.
22. [22]  Maiti S, Jana A. “Linkage between female labor force participation, fertility rate and marriage score in India”. International Journal of Innovative Research in Engineering and Management, 11(5), 95-97, 2024.
23. [23]  Cipollone A, D'Ippoliti C. “Discriminating factors of women's employment”. Applied Economics Letters, 17(11), 1055-1062, 2010.
24. [24]  Choudhry MT, Elhorst P. “Female labour force participation and economic development”. International Journal of Manpower, 39(7), 896-912, 2018.
25. [25]  Yıldırım DÇ, Akinci H. “The dynamic relationships between the female labour force and economic growth”. Journal of Economic Studies, 48(8), 1512-1527, 2021.
26. [26]  Sharma S, Manani P, Thakwani M, Satsangi R, Sharma P, Jamwal D. “Level of awareness on the sustainable development goals among Indian youth: Empirical evidence from Northern India”. Edelweiss Applied Science and Technology, 8(4), 2356-2368, 2024.
27. [27]  Altaf M. “Women labor force participation and governance in developing economies: A panel analysis”. IRASD Journal of Economics, 1(2), 89-102, 2019.
28. [28]  Fox JF, Klüsener S, Myrskylä M. “Is a positive relationship between fertility and economic development emerging at the sub-national regional level? Theoretical considerations and evidence from Europe”. European Journal of Population, 35, 487-518, 2019.
29. [29]  Ali M, Rehman N. “Demographic transition and human capital in developing countries: An empirical analysis”. Journal of Human Dynamics, 2(1), 29-36, 2024.
30. [30]  Bujard M, Andersson G. “Fertility declines near the end of the COVID-19 pandemic: Evidence of the 2022 birth declines in Germany and Sweden”. European Journal of Population, 40, 1-21, 2024.
31. [31]  Huang K. “Fertility and long‐term economic growth”. Economic Inquiry, 62(3), 1152-1171, 2024.
32. [32]  Despotović D, Kostić V, Kostić A, Nedić V. “Fertility and economic growth of selected transition countries”. BizInfo Blace, 13(2), 29-40, 2022.
33. [33]  Kim DH, Lin SC. “Fertility and the oil curse”. Empirical Economics, 67(2), 381-416, 2024.
34. [34]  Dumitrescu EI, Hurlin C. “Testing for Granger non-causality in heterogeneous panels”. Economic Modelling, 29(4), 1450-1460, 2012.
35. [35]  Yerdelen Tatoğlu F. Panel time series analysis: Stata with applications. 4th edition, Istanbul, Türkiye, Beta Publishing, 2024.
36. [36]  Levin A, Lin CF, Chu CSJ. “Unit root tests in panel data: Asymptotic and finite-sample properties”. Journal of Econometrics, 108(1), 1-24, 2002.
37. [37]  Pesaran MH. “General diagnostic tests for cross-sectional dependence in panels”. Empirical Economics, 60(1), 13-50, 2021.
38. [38]  Im KS, Pesaran MH, Shin Y. “Testing for unit roots in heterogeneous panels”. Journal of Econometrics, 115(1), 53-74, 2003.
39. [39]  Baltagi BH, Wu PX. “Unequally spaced panel data regressions with AR (1) disturbances”. Econometric Theory, 15(6), 814-823, 1999.
40. [40]  Wooldridge JM. Econometric analysis of cross section and panel data. Cambridge, USA, MIT Press, 2010.
41. [41]  Swamy PA. “Efficient inference in a random coefficient regression model”. Econometrica, 311-323, 1970.
42. [42]  Mishra V, Smyth R. “Female labor force participation and total fertility rates in the OECD: New evidence from panel cointegration and Granger causality testing”. Journal of Economics and Business, 62, 48-64, 2010.
43. [43]  Haseeb M, Hartani N, Bakar N. “The nexus between female labour force participation (FLFP) and fertility rate in selected ASEAN countries: Panel cointegration approach”. Mathematical Models and Methods in Applied Sciences, 9(8), 29-39, 2015.
44. [44]  Alderotti G. “Female employment and first childbirth in Italy: What news?”. Genus, 78, 1-19, 2022.
45. [45]  Law Y, Wye C. “The effects of fertility on female labour force participation in OECD countries: The role of education and health”. Studies in Economics and Econometrics, 47, 280-302, 2023.
46. [46]  Gatta A, Mattioli F, Mencarini L, Vignoli D. “Employment uncertainty and fertility intentions: Stability or resilience?”. Population Studies, 76(3), 387-406, 2022.
47. [47]  World Bank. “Fertility rate, total (SP.DYN.TFRT.IN)”. https://data.worldbank.org/indicator/SP.DYN.TFRT.IN (12.12.2025).
48. [48]  World Bank. “Labor force participation rate, female (SL.TLF.CACT.FE.ZS)”. https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS (12.12.2025).
49. [49]  World Bank. “GDP per capita, PPP (constant 2017 international $) (NY.GDP.PCAP.PP.KD)”. https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.KD (12.12.2025).
50. [50]  World Bank. “School enrollment, tertiary, female (% gross) (SE.TER.ENRR.FE)”. https://data.worldbank.org/indicator/SE.TER.ENRR.FE (12.12.2025).
51. [51]  UNDP. “Human Development Index (HDI)”. https://hdr.undp.org/data-center/human-development-index#/indicies/HDI (12.12.2025).